[rszj@localhost opt_scripts]$ ./om_hupu_d1_iv4_100.sh 
[sudo] password for rszj: 
[ 2018-10-17 17:07:58,513 ] [ DEBUG ] [ main:133 ]  Namespace(batch=None, data_type='FP32', disable_fusing=False, disable_gfusing=False, disable_resnet_optimization=False, extensions='/home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, input='Placeholder_X', input_checkpoint='', input_meta_graph=None, input_model='/home/intel/origin_model/tensorflow/hupu_d1_iv4_100/hupu_d1_iv4_100.pb', input_model_is_text=False, input_shape='[1,299,299,3]', log_level='DEBUG', mean_values='[127.5,127.5,127.5]', model_name=None, move_to_preprocess=False, offload_unsupported_operations_to_tf=False, output='Predictions', output_dir='/home/intel/optimized_model/tensorflow/hupu_d1_iv4_100', reverse_input_channels=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, tensorboard_logdir=None, tensorflow_custom_operations_config_update=None, tensorflow_object_detection_api_pipeline_config=None, tensorflow_operation_patterns=None, tensorflow_subgraph_patterns=None, tensorflow_use_custom_operations_config=None, version=False)
[ 2018-10-17 17:07:58,513 ] [ DEBUG ] [ main:134 ]  Model Optimizer started
[ 2018-10-17 17:07:58,514 ] [ DEBUG ] [ main:148 ]  Output model name would be hupu_d1_iv4_100{.xml, .bin}
Model Optimizer arguments:
Common parameters:
	- Path to the Input Model: 	/home/intel/origin_model/tensorflow/hupu_d1_iv4_100/hupu_d1_iv4_100.pb
	- Path for generated IR: 	/home/intel/optimized_model/tensorflow/hupu_d1_iv4_100
	- IR output name: 	hupu_d1_iv4_100
	- Log level: 	DEBUG
	- Batch: 	Not specified, inherited from the model
	- Input layers: 	Placeholder_X
	- Output layers: 	Predictions
	- Input shapes: 	[1,299,299,3]
	- Mean values: 	[127.5,127.5,127.5]
	- Scale values: 	Not specified
	- Scale factor: 	Not specified
	- Precision of IR: 	FP32
	- Enable fusing: 	True
	- Enable grouped convolutions fusing: 	True
	- Move mean values to preprocess section: 	False
	- Reverse input channels: 	False
TensorFlow specific parameters:
	- Input model in text protobuf format: 	False
	- Offload unsupported operations: 	False
	- Path to model dump for TensorBoard: 	None
	- Update the configuration file with input/output node names: 	None
	- Use configuration file used to generate the model with Object Detection API: 	None
	- Operations to offload: 	None
	- Patterns to offload: 	None
	- Use the config file: 	None
Model Optimizer version: 	1.2.185.5335e231
[ 2018-10-17 17:07:58,979 ] [ DEBUG ] [ main:232 ]  Placeholder shapes : {'Placeholder_X': array([  1, 299, 299,   3])}
[ INFO ]  Importing extensions from: /home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/mo
[ INFO ]  New subclass: <class 'mo.ops.const.Const'>
[ INFO ]  Registered a new subclass with key: Const
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.shape.Shape'>
[ INFO ]  Registered a new subclass with key: Shape
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.relu.ReLU'>
[ INFO ]  Registered a new subclass with key: ReLU
[ INFO ]  New subclass: <class 'mo.ops.reshape.Reshape'>
[ INFO ]  Registered a new subclass with key: Reshape
[ INFO ]  New subclass: <class 'mo.ops.activation.Activation'>
[ INFO ]  Registered a new subclass with key: Activation
[ INFO ]  New subclass: <class 'mo.ops.clamp.Clamp'>
[ INFO ]  Registered a new subclass with key: Clamp
[ INFO ]  New subclass: <class 'mo.ops.concat.Concat'>
[ INFO ]  Registered a new subclass with key: Concat
[ INFO ]  New subclass: <class 'mo.ops.convolution.Convolution'>
[ INFO ]  Registered a new subclass with key: Convolution
[ INFO ]  New subclass: <class 'mo.ops.crop.Crop'>
[ INFO ]  Registered a new subclass with key: Crop
[ INFO ]  New subclass: <class 'mo.ops.eltwise.Eltwise'>
[ INFO ]  Registered a new subclass with key: Eltwise
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.flatten_onnx.FlattenONNX'>
[ INFO ]  Registered a new subclass with key: Flatten
[ INFO ]  New subclass: <class 'mo.ops.inner_product.InnerProduct'>
[ INFO ]  Registered a new subclass with key: FullyConnected
[ INFO ]  New subclass: <class 'mo.ops.input.Input'>
[ INFO ]  Registered a new subclass with key: Input
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.memory.Memory'>
[ INFO ]  Registered a new subclass with key: Memory
[ INFO ]  New subclass: <class 'mo.ops.output.Output'>
[ INFO ]  Registered a new subclass with key: OpOutput
[ INFO ]  New subclass: <class 'mo.ops.pad.Pad'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'mo.ops.pooling.Pooling'>
[ INFO ]  Registered a new subclass with key: Pooling
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.scale_shift.ScaleShiftOp'>
[ INFO ]  Registered a new subclass with key: ScaleShift
[ INFO ]  New subclass: <class 'mo.ops.slice.Slice'>
[ INFO ]  Registered a new subclass with key: Slice
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.split.Split'>
[ INFO ]  Registered a new subclass with key: Split
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.strided_slice.StridedSliceOp'>
[ INFO ]  Registered a new subclass with key: StridedSlice
[ INFO ]  New subclass: <class 'mo.ops.tile.Tile'>
[ INFO ]  Registered a new subclass with key: Tile
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.ops.div.Div'>
[ INFO ]  Registered a new subclass with key: Div
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementSubgraph'>
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'>
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementOp'>
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'>
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'>
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.elu.Elu'>
[ INFO ]  Registered a new subclass with key: Elu
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.sigmoid.Sigmoid'>
[ INFO ]  Registered a new subclass with key: Sigmoid
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.tanh.Tanh'>
[ INFO ]  Registered a new subclass with key: Tanh
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ INFO ]  Importing extensions from: /home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/extensions
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.ops.DetectionOutput.DetectionOutput'>
[ INFO ]  Registered a new subclass with key: DetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.SquaredDifference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.ops.accum.AccumOp'>
[ INFO ]  Registered a new subclass with key: Accum
[ INFO ]  New subclass: <class 'extensions.ops.argmax.ArgMaxOp'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.ops.assert_op.Assert'>
[ INFO ]  Registered a new subclass with key: Assert
[ INFO ]  New subclass: <class 'extensions.ops.correlation.CorrelationOp'>
[ INFO ]  Registered a new subclass with key: Correlation
[ INFO ]  New subclass: <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'>
[ INFO ]  Registered a new subclass with key: CTCGreedyDecoder
[ INFO ]  New subclass: <class 'extensions.ops.data_augmentation.DataAugmentationOp'>
[ INFO ]  Registered a new subclass with key: DataAugmentation
[ INFO ]  New subclass: <class 'extensions.ops.grn.GRNOp'>
[ INFO ]  Registered a new subclass with key: GRN
[ INFO ]  New subclass: <class 'extensions.ops.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ INFO ]  New subclass: <class 'extensions.ops.interp.InterpOp'>
[ INFO ]  Registered a new subclass with key: Interp
[ INFO ]  New subclass: <class 'extensions.ops.merge.Merge'>
[ INFO ]  Registered a new subclass with key: Merge
[ INFO ]  New subclass: <class 'extensions.ops.mvn.MVN'>
[ INFO ]  Registered a new subclass with key: MVN
[ INFO ]  New subclass: <class 'extensions.ops.normalize.NormalizeOp'>
[ INFO ]  Registered a new subclass with key: Normalize
[ INFO ]  New subclass: <class 'extensions.ops.power_file.PowerFileOp'>
[ INFO ]  Registered a new subclass with key: PowerFile
[ INFO ]  New subclass: <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>
[ INFO ]  Registered a new subclass with key: PredictionHeatmap
[ INFO ]  New subclass: <class 'extensions.ops.prelu.PreluOp'>
[ INFO ]  Registered a new subclass with key: PReLU
[ INFO ]  New subclass: <class 'extensions.ops.priorbox.PriorBoxOp'>
[ INFO ]  Registered a new subclass with key: PriorBox
[ INFO ]  New subclass: <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>
[ INFO ]  Registered a new subclass with key: PriorBoxClustered
[ INFO ]  New subclass: <class 'extensions.ops.proposal.ProposalOp'>
[ INFO ]  Registered a new subclass with key: Proposal
[ INFO ]  New subclass: <class 'extensions.ops.psroipooling.PSROIPoolingOp'>
[ INFO ]  Registered a new subclass with key: PSROIPooling
[ INFO ]  New subclass: <class 'extensions.ops.regionyolo.RegionYoloOp'>
[ INFO ]  Registered a new subclass with key: RegionYolo
[ INFO ]  New subclass: <class 'extensions.ops.reorgyolo.ReorgYoloOp'>
[ INFO ]  Registered a new subclass with key: ReorgYolo
[ INFO ]  New subclass: <class 'extensions.ops.resample.ResampleOp'>
[ INFO ]  Registered a new subclass with key: Resample
[ INFO ]  New subclass: <class 'extensions.ops.simplernms.SimplerNMSOp'>
[ INFO ]  Registered a new subclass with key: SimplerNMS
[ INFO ]  New subclass: <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>
[ INFO ]  Registered a new subclass with key: SpatialTransformer
[ INFO ]  New subclass: <class 'extensions.ops.switch.Switch'>
[ INFO ]  Registered a new subclass with key: Switch
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ INFO ]  Registered a new subclass with key: LRN
[ INFO ]  New subclass: <class 'extensions.front.image_scaler.ImageScaler'>
[ INFO ]  Registered a new subclass with key: ImageScaler
[ INFO ]  New subclass: <class 'extensions.front.squared_difference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.front.sub.Sub'>
[ INFO ]  Registered a new subclass with key: Sub
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ INFO ]  New subclass: <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'>
[ INFO ]  Registered a new subclass with key: ExtractImagePatches
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'>
[ INFO ]  Registered a new subclass with key: FIFOQueueV2
[ INFO ]  New subclass: <class 'extensions.front.tf.pad_ext.PadFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResizeBilinear
[ INFO ]  New subclass: <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResizeNearestNeighbor
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.LRNReplacer.LRNReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.image_scaler.ImageScaler'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.squared_difference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.front.tf.Pack.Pack'>
[ INFO ]  Registered a new subclass with key: Pack
[ WARNING ]  Skipped <class 'extensions.front.tf.Unpack.Unpack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ INFO ]  New subclass: <class 'extensions.front.tf.mvn.MVN'>
[ INFO ]  New subclass: <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ INFO ]  New subclass: <class 'extensions.front.tf.prelu.PReLU'>
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.FasterRCNNs.TFObjectDetectionAPIFasterRCNNProposalAndROIPooling'>
[ INFO ]  New subclass: <class 'extensions.front.tf.FasterRCNNs.SecondStagePostprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'>
[ INFO ]  New subclass: <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNDetectionOutput'>
[ INFO ]  New subclass: <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNROIPoolingSecond'>
[ INFO ]  New subclass: <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNSigmoid'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalAndROIPoolingReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.SSDs.PostprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.YOLO.YoloRegionAddon'>
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pad_ext.PadFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.LRNReplacer.LRNReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.image_scaler.ImageScaler'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.squared_difference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Pack.Pack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Unpack.Unpack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.fifo_replacer.FIFOQueue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.mvn.MVN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.prelu.PReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.FasterRCNNs.TFObjectDetectionAPIFasterRCNNProposalAndROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.FasterRCNNs.SecondStagePostprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNDetectionOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNROIPoolingSecond'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNSigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalAndROIPoolingReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.SSDs.PostprocessorReplacement'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'>
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.YOLO.YoloRegionAddon'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.shape.Shape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.relu.ReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.activation.Activation'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.clamp.Clamp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.concat.Concat'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.convolution.Convolution'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.crop.Crop'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.eltwise.Eltwise'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.expand_dims.ExpandDims'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.inner_product.InnerProduct'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.input.Input'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.lrn.LRN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.output.Output'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pad.Pad'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.pooling.Pooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.roipooling.ROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.slice.Slice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.softmax.Softmax'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.split.Split'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSliceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.tile.Tile'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.unsqueeze.Unsqueeze'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.DetectionOutput.DetectionOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.accum.AccumOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.argmax.ArgMaxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.assert_op.Assert'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.correlation.CorrelationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.data_augmentation.DataAugmentationOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.grn.GRNOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.interp.InterpOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.merge.Merge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.mvn.MVN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.power_file.PowerFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.prelu.PreluOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox.PriorBoxOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.proposal.ProposalOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.psroipooling.PSROIPoolingOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.regionyolo.RegionYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.reorgyolo.ReorgYoloOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.resample.ResampleOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.simplernms.SimplerNMSOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.spatial_transformer.SpatialTransformOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.switch.Switch'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.elu.Elu'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.sigmoid.Sigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.tanh.Tanh'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.pad_ext.PadFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.ops.div.Div'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.LRNReplacer.LRNReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.image_scaler.ImageScaler'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.squared_difference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.sub.Sub'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Pack.Pack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Unpack.Unpack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileGeneral'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.fifo_replacer.FIFOQueue'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.mvn.MVN'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.prelu.PReLU'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.FasterRCNNs.TFObjectDetectionAPIFasterRCNNProposalAndROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.FasterRCNNs.SecondStagePostprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNDetectionOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNROIPoolingSecond'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNSigmoid'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalAndROIPoolingReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.SSDs.PostprocessorReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.UselessMerge.UselessMergeEraser'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.EltwiseBroadcast.EltwiseBroadcast'>
[ WARNING ]  Skipped <class 'extensions.back.ShufflenetReLUReorder.ShufflenetReLUReorder'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.kaldi_remove_memory_output.KaldiRemoveMemoryOutputBackReplacementPattern'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.remove_last_softmax_pattern.RemoveLastSoftMaxPattern'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.YOLO.YoloRegionAddon'> registration because it was already registered or it was disabled. 
[ 2018-10-17 17:07:59,743 ] [ DEBUG ] [ tf:91 ]  Number of nodes in graph_def: 1880
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry Elu to extractors with custom extractor class <class 'mo.front.tf.extractors.elu.Elu'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry Sigmoid to extractors with custom extractor class <class 'mo.front.tf.extractors.sigmoid.Sigmoid'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry Tanh to extractors with custom extractor class <class 'mo.front.tf.extractors.tanh.Tanh'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry ArgMax to extractors with custom extractor class <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry ExtractImagePatches to extractors with custom extractor class <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry FIFOQueueV2 to extractors with custom extractor class <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry Pad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadFrontExtractor'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry ResizeBilinear to extractors with custom extractor class <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:75 ]  Added a new entry ResizeNearestNeighbor to extractors with custom extractor class <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Activation to extractors with custom op class <class 'mo.ops.activation.Activation'>.
[ 2018-10-17 17:07:59,744 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Clamp to extractors with custom op class <class 'mo.ops.clamp.Clamp'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Concat to extractors with custom op class <class 'mo.ops.concat.Concat'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Convolution to extractors with custom op class <class 'mo.ops.convolution.Convolution'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Crop to extractors with custom op class <class 'mo.ops.crop.Crop'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Eltwise to extractors with custom op class <class 'mo.ops.eltwise.Eltwise'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Flatten to extractors with custom op class <class 'mo.ops.flatten_onnx.FlattenONNX'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry FullyConnected to extractors with custom op class <class 'mo.ops.inner_product.InnerProduct'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Input to extractors with custom op class <class 'mo.ops.input.Input'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Memory to extractors with custom op class <class 'mo.ops.memory.Memory'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry OpOutput to extractors with custom op class <class 'mo.ops.output.Output'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Pooling to extractors with custom op class <class 'mo.ops.pooling.Pooling'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry ScaleShift to extractors with custom op class <class 'mo.ops.scale_shift.ScaleShiftOp'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry DetectionOutput to extractors with custom op class <class 'extensions.ops.DetectionOutput.DetectionOutput'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry SquaredDifference to extractors with custom op class <class 'extensions.ops.SquaredDifference.SquaredDifference'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Accum to extractors with custom op class <class 'extensions.ops.accum.AccumOp'>.
[ 2018-10-17 17:07:59,745 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Assert to extractors with custom op class <class 'extensions.ops.assert_op.Assert'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Correlation to extractors with custom op class <class 'extensions.ops.correlation.CorrelationOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry CTCGreedyDecoder to extractors with custom op class <class 'extensions.ops.ctc_greedy_decoder.CTCGreedyDecoderOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry DataAugmentation to extractors with custom op class <class 'extensions.ops.data_augmentation.DataAugmentationOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry GRN to extractors with custom op class <class 'extensions.ops.grn.GRNOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry InstanceNormalization to extractors with custom op class <class 'extensions.ops.instance_normalization.InstanceNormalization'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Interp to extractors with custom op class <class 'extensions.ops.interp.InterpOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Merge to extractors with custom op class <class 'extensions.ops.merge.Merge'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry MVN to extractors with custom op class <class 'extensions.ops.mvn.MVN'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Normalize to extractors with custom op class <class 'extensions.ops.normalize.NormalizeOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry PowerFile to extractors with custom op class <class 'extensions.ops.power_file.PowerFileOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry PredictionHeatmap to extractors with custom op class <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry PReLU to extractors with custom op class <class 'extensions.ops.prelu.PreluOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry PriorBox to extractors with custom op class <class 'extensions.ops.priorbox.PriorBoxOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry PriorBoxClustered to extractors with custom op class <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Proposal to extractors with custom op class <class 'extensions.ops.proposal.ProposalOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry PSROIPooling to extractors with custom op class <class 'extensions.ops.psroipooling.PSROIPoolingOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry RegionYolo to extractors with custom op class <class 'extensions.ops.regionyolo.RegionYoloOp'>.
[ 2018-10-17 17:07:59,746 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry ReorgYolo to extractors with custom op class <class 'extensions.ops.reorgyolo.ReorgYoloOp'>.
[ 2018-10-17 17:07:59,747 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Resample to extractors with custom op class <class 'extensions.ops.resample.ResampleOp'>.
[ 2018-10-17 17:07:59,747 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry SimplerNMS to extractors with custom op class <class 'extensions.ops.simplernms.SimplerNMSOp'>.
[ 2018-10-17 17:07:59,747 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry SpatialTransformer to extractors with custom op class <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>.
[ 2018-10-17 17:07:59,747 ] [ DEBUG ] [ register_custom_ops:105 ]  Added a new entry Switch to extractors with custom op class <class 'extensions.ops.switch.Switch'>.
[ 2018-10-17 17:08:00,519 ] [ DEBUG ] [ extractor:662 ]  Sink: Predictions/sink_port_0 for node Predictions
[ 2018-10-17 17:08:00,519 ] [ DEBUG ] [ extractor:663 ]  {'precision': 'FP32', 'kind': 'op', 'type': 'OpOutput', 'op': 'OpOutput', 'is_output': True, 'infer': None, 'value': None, 'data_type': None, 'name': 'Predictions/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a42f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:00,519 ] [ DEBUG ] [ extractor:664 ]  Add edge from Predictions to Predictions/sink_port_0
[ 2018-10-17 17:08:00,550 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/sink_port_0
[ 2018-10-17 17:08:00,669 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2018-10-17 17:08:00,669 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2018-10-17 17:08:00,670 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2018-10-17 17:08:00,671 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2018-10-17 17:08:00,671 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3  3 32] and value.shape = (3, 3, 3, 32)
[ 2018-10-17 17:08:00,672 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2018-10-17 17:08:00,672 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2018-10-17 17:08:00,673 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2018-10-17 17:08:00,673 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 32 32] and value.shape = (3, 3, 32, 32)
[ 2018-10-17 17:08:00,674 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2018-10-17 17:08:00,674 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2018-10-17 17:08:00,674 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2018-10-17 17:08:00,675 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 32 64] and value.shape = (3, 3, 32, 64)
[ 2018-10-17 17:08:00,675 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,676 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,676 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,677 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,677 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,678 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,679 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,679 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 160  64] and value.shape = (1, 1, 160, 64)
[ 2018-10-17 17:08:00,680 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,680 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,681 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,681 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,682 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,682 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,683 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,683 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 160  64] and value.shape = (1, 1, 160, 64)
[ 2018-10-17 17:08:00,684 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,684 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,685 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,685 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 1  7 64 64] and value.shape = (1, 7, 64, 64)
[ 2018-10-17 17:08:00,686 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,686 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,687 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,687 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 7  1 64 64] and value.shape = (7, 1, 64, 64)
[ 2018-10-17 17:08:00,688 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,688 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,689 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,689 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,690 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,690 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,690 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,692 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 192 192] and value.shape = (3, 3, 192, 192)
[ 2018-10-17 17:08:00,692 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,693 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,693 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,694 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,694 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,695 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,695 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,696 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,697 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,698 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,698 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,699 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,699 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,700 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,700 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,701 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,701 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,702 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,702 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,703 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,704 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,704 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,705 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,706 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 96 96] and value.shape = (3, 3, 96, 96)
[ 2018-10-17 17:08:00,706 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,707 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,707 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,708 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,708 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,709 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,709 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,710 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,710 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,711 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,711 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,711 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,712 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,712 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,713 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,714 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,714 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,715 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,715 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,716 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,716 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,717 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,718 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,718 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,719 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,719 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,720 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,720 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 96 96] and value.shape = (3, 3, 96, 96)
[ 2018-10-17 17:08:00,721 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,721 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,722 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,722 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,723 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,723 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,724 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,724 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,725 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,725 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,725 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,726 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,727 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,727 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,728 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,728 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,729 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,729 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,730 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,730 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,731 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,731 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,732 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,732 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,733 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,733 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,734 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,735 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 96 96] and value.shape = (3, 3, 96, 96)
[ 2018-10-17 17:08:00,735 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,736 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,737 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,737 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,738 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,738 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,738 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,739 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,739 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,740 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,740 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,741 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,741 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,742 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,742 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,743 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,743 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,744 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,744 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,745 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2018-10-17 17:08:00,745 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,746 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,746 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2018-10-17 17:08:00,747 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 64 96] and value.shape = (3, 3, 64, 96)
[ 2018-10-17 17:08:00,748 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,748 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,748 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,749 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 96 96] and value.shape = (3, 3, 96, 96)
[ 2018-10-17 17:08:00,750 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,750 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,751 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,751 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  96] and value.shape = (1, 1, 384, 96)
[ 2018-10-17 17:08:00,752 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,752 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,753 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:00,755 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 384 384] and value.shape = (3, 3, 384, 384)
[ 2018-10-17 17:08:00,755 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,756 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,757 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,757 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384 192] and value.shape = (1, 1, 384, 192)
[ 2018-10-17 17:08:00,758 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,758 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,759 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,760 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 192 224] and value.shape = (3, 3, 192, 224)
[ 2018-10-17 17:08:00,760 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,761 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,761 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,763 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 224 256] and value.shape = (3, 3, 224, 256)
[ 2018-10-17 17:08:00,764 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,764 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,765 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,766 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  384] and value.shape = (1, 1, 1024, 384)
[ 2018-10-17 17:08:00,767 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,767 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,768 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,768 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,769 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,769 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,770 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,771 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,771 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,772 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,772 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,773 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 256] and value.shape = (7, 1, 224, 256)
[ 2018-10-17 17:08:00,774 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,774 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,775 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,776 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,776 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,777 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,777 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,778 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 192 192] and value.shape = (7, 1, 192, 192)
[ 2018-10-17 17:08:00,779 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,780 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,780 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,781 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,782 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,782 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,783 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,784 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 224] and value.shape = (7, 1, 224, 224)
[ 2018-10-17 17:08:00,784 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,785 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,785 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,786 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 224 256] and value.shape = (1, 7, 224, 256)
[ 2018-10-17 17:08:00,787 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,787 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,788 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,788 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  128] and value.shape = (1, 1, 1024, 128)
[ 2018-10-17 17:08:00,789 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,789 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,790 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,791 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  384] and value.shape = (1, 1, 1024, 384)
[ 2018-10-17 17:08:00,792 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,792 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,792 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,793 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,794 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,794 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,795 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,796 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,796 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,797 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,797 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,799 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 256] and value.shape = (7, 1, 224, 256)
[ 2018-10-17 17:08:00,799 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,800 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,801 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,801 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,802 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,803 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,804 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,805 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 192 192] and value.shape = (7, 1, 192, 192)
[ 2018-10-17 17:08:00,877 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,877 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,878 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,879 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,879 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,880 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,880 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,882 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 224] and value.shape = (7, 1, 224, 224)
[ 2018-10-17 17:08:00,882 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,883 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,883 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,884 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 224 256] and value.shape = (1, 7, 224, 256)
[ 2018-10-17 17:08:00,885 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,885 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,886 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,886 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  128] and value.shape = (1, 1, 1024, 128)
[ 2018-10-17 17:08:00,887 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,887 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,888 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,889 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  384] and value.shape = (1, 1, 1024, 384)
[ 2018-10-17 17:08:00,890 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,890 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,891 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,892 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,892 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,893 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,893 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,894 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,895 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,895 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,896 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,897 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 256] and value.shape = (7, 1, 224, 256)
[ 2018-10-17 17:08:00,898 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,898 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,899 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,899 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,901 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,901 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,902 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,903 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 192 192] and value.shape = (7, 1, 192, 192)
[ 2018-10-17 17:08:00,903 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,904 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,904 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,905 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,906 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,906 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,907 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,908 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 224] and value.shape = (7, 1, 224, 224)
[ 2018-10-17 17:08:00,909 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,909 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,910 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,911 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 224 256] and value.shape = (1, 7, 224, 256)
[ 2018-10-17 17:08:00,912 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,912 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,913 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,913 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  128] and value.shape = (1, 1, 1024, 128)
[ 2018-10-17 17:08:00,914 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,914 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,915 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,916 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  384] and value.shape = (1, 1, 1024, 384)
[ 2018-10-17 17:08:00,917 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,917 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,917 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,918 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,919 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,919 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,920 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,921 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,921 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,922 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,922 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,924 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 256] and value.shape = (7, 1, 224, 256)
[ 2018-10-17 17:08:00,926 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,926 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,927 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,927 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,928 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,928 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,929 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,930 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 192 192] and value.shape = (7, 1, 192, 192)
[ 2018-10-17 17:08:00,930 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,931 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,931 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,932 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,933 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,933 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,934 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,935 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 224] and value.shape = (7, 1, 224, 224)
[ 2018-10-17 17:08:00,935 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,936 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,936 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,937 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 224 256] and value.shape = (1, 7, 224, 256)
[ 2018-10-17 17:08:00,938 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,939 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,939 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,940 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  128] and value.shape = (1, 1, 1024, 128)
[ 2018-10-17 17:08:00,940 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,941 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,941 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,943 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  384] and value.shape = (1, 1, 1024, 384)
[ 2018-10-17 17:08:00,943 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,944 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,944 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,945 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,946 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,946 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,947 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,948 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,949 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,949 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,950 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,951 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 256] and value.shape = (7, 1, 224, 256)
[ 2018-10-17 17:08:00,952 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,952 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,953 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,954 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,954 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,955 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,955 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,956 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 192 192] and value.shape = (7, 1, 192, 192)
[ 2018-10-17 17:08:00,956 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,957 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,957 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,958 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,959 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,959 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,960 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,961 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 224] and value.shape = (7, 1, 224, 224)
[ 2018-10-17 17:08:00,961 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,962 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,962 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,964 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 224 256] and value.shape = (1, 7, 224, 256)
[ 2018-10-17 17:08:00,964 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,964 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,965 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,966 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  128] and value.shape = (1, 1, 1024, 128)
[ 2018-10-17 17:08:00,966 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,966 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,967 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,968 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  384] and value.shape = (1, 1, 1024, 384)
[ 2018-10-17 17:08:00,969 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,970 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,970 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,971 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,972 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,972 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,973 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,974 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,974 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,975 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,975 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,976 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 256] and value.shape = (7, 1, 224, 256)
[ 2018-10-17 17:08:00,977 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,977 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,978 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,979 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,979 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,980 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,980 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,981 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 192 192] and value.shape = (7, 1, 192, 192)
[ 2018-10-17 17:08:00,982 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,982 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,983 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,984 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:00,984 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,985 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,985 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,986 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 224] and value.shape = (7, 1, 224, 224)
[ 2018-10-17 17:08:00,987 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,988 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,988 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:00,989 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 224 256] and value.shape = (1, 7, 224, 256)
[ 2018-10-17 17:08:00,990 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,990 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,991 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:00,992 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  128] and value.shape = (1, 1, 1024, 128)
[ 2018-10-17 17:08:00,992 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,993 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,993 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:00,994 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  384] and value.shape = (1, 1, 1024, 384)
[ 2018-10-17 17:08:00,995 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,996 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,996 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:00,997 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:00,998 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,998 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:00,998 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,000 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:01,000 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,001 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,001 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,003 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 256] and value.shape = (7, 1, 224, 256)
[ 2018-10-17 17:08:01,003 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,004 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,004 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,005 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:01,005 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,006 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,006 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,007 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 192 192] and value.shape = (7, 1, 192, 192)
[ 2018-10-17 17:08:01,008 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,008 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,009 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,010 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 192 224] and value.shape = (1, 7, 192, 224)
[ 2018-10-17 17:08:01,010 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,011 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,011 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,012 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 224 224] and value.shape = (7, 1, 224, 224)
[ 2018-10-17 17:08:01,013 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,013 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,014 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ 2018-10-17 17:08:01,015 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 224 256] and value.shape = (1, 7, 224, 256)
[ 2018-10-17 17:08:01,016 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,016 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,017 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,017 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  128] and value.shape = (1, 1, 1024, 128)
[ 2018-10-17 17:08:01,018 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,019 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,019 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,020 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  192] and value.shape = (1, 1, 1024, 192)
[ 2018-10-17 17:08:01,021 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,021 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,022 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,023 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 192 192] and value.shape = (3, 3, 192, 192)
[ 2018-10-17 17:08:01,023 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,024 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,024 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,025 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1024  256] and value.shape = (1, 1, 1024, 256)
[ 2018-10-17 17:08:01,026 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,026 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,027 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,028 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   7 256 256] and value.shape = (1, 7, 256, 256)
[ 2018-10-17 17:08:01,029 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,030 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,030 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,031 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  7   1 256 320] and value.shape = (7, 1, 256, 320)
[ 2018-10-17 17:08:01,032 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ 2018-10-17 17:08:01,032 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ 2018-10-17 17:08:01,033 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ 2018-10-17 17:08:01,035 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 320 320] and value.shape = (3, 3, 320, 320)
[ 2018-10-17 17:08:01,035 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ 2018-10-17 17:08:01,036 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ 2018-10-17 17:08:01,036 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ 2018-10-17 17:08:01,038 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  256] and value.shape = (1, 1, 1536, 256)
[ 2018-10-17 17:08:01,039 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,039 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,040 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,042 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  384] and value.shape = (1, 1, 1536, 384)
[ 2018-10-17 17:08:01,042 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,043 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,043 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,044 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 384 256] and value.shape = (1, 3, 384, 256)
[ 2018-10-17 17:08:01,045 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,046 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,046 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,047 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 384 256] and value.shape = (3, 1, 384, 256)
[ 2018-10-17 17:08:01,048 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,048 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,048 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,050 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  384] and value.shape = (1, 1, 1536, 384)
[ 2018-10-17 17:08:01,050 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,051 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,051 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,052 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 384 448] and value.shape = (3, 1, 384, 448)
[ 2018-10-17 17:08:01,053 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,053 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,054 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,055 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 448 512] and value.shape = (1, 3, 448, 512)
[ 2018-10-17 17:08:01,056 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,056 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,057 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,058 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 512 256] and value.shape = (1, 3, 512, 256)
[ 2018-10-17 17:08:01,059 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,059 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,060 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,061 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 512 256] and value.shape = (3, 1, 512, 256)
[ 2018-10-17 17:08:01,062 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,062 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,063 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,064 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  256] and value.shape = (1, 1, 1536, 256)
[ 2018-10-17 17:08:01,064 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,065 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,065 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,067 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  256] and value.shape = (1, 1, 1536, 256)
[ 2018-10-17 17:08:01,067 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,068 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,068 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,070 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  384] and value.shape = (1, 1, 1536, 384)
[ 2018-10-17 17:08:01,071 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,072 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,072 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,073 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 384 256] and value.shape = (1, 3, 384, 256)
[ 2018-10-17 17:08:01,074 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,074 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,075 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,076 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 384 256] and value.shape = (3, 1, 384, 256)
[ 2018-10-17 17:08:01,076 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,077 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,077 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,079 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  384] and value.shape = (1, 1, 1536, 384)
[ 2018-10-17 17:08:01,080 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,080 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,081 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,082 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 384 448] and value.shape = (3, 1, 384, 448)
[ 2018-10-17 17:08:01,083 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,083 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,084 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,085 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 448 512] and value.shape = (1, 3, 448, 512)
[ 2018-10-17 17:08:01,085 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,086 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,086 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,088 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 512 256] and value.shape = (1, 3, 512, 256)
[ 2018-10-17 17:08:01,088 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,089 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,089 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,090 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 512 256] and value.shape = (3, 1, 512, 256)
[ 2018-10-17 17:08:01,091 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,091 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,092 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,093 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  256] and value.shape = (1, 1, 1536, 256)
[ 2018-10-17 17:08:01,094 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,094 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,095 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,096 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  256] and value.shape = (1, 1, 1536, 256)
[ 2018-10-17 17:08:01,097 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,097 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,098 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,099 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  384] and value.shape = (1, 1, 1536, 384)
[ 2018-10-17 17:08:01,100 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,101 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,101 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,102 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 384 256] and value.shape = (1, 3, 384, 256)
[ 2018-10-17 17:08:01,103 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,103 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,104 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,105 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 384 256] and value.shape = (3, 1, 384, 256)
[ 2018-10-17 17:08:01,105 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,106 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,106 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,108 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  384] and value.shape = (1, 1, 1536, 384)
[ 2018-10-17 17:08:01,108 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,109 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,109 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2018-10-17 17:08:01,111 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 384 448] and value.shape = (3, 1, 384, 448)
[ 2018-10-17 17:08:01,112 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,112 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,113 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ 2018-10-17 17:08:01,115 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 448 512] and value.shape = (1, 3, 448, 512)
[ 2018-10-17 17:08:01,115 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,116 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,117 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2018-10-17 17:08:01,118 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   3 512 256] and value.shape = (1, 3, 512, 256)
[ 2018-10-17 17:08:01,119 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,119 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,120 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,121 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   1 512 256] and value.shape = (3, 1, 512, 256)
[ 2018-10-17 17:08:01,122 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,122 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,122 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,124 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [   1    1 1536  256] and value.shape = (1, 1, 1536, 256)
[ 2018-10-17 17:08:01,125 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,125 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,126 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,126 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1536   10] and value.shape = (1536, 10)
[ 2018-10-17 17:08:01,127 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [10] and value.shape = (10,)
[ WARNING ]  Broadcast of scalar to shape: [32]
[ 2018-10-17 17:08:01,127 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ WARNING ]  Broadcast of scalar to shape: [32]
[ 2018-10-17 17:08:01,128 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,129 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,131 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:01,131 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,132 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,132 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,133 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,134 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,135 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,136 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,137 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:01,138 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,138 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,139 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2018-10-17 17:08:01,140 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,140 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,141 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,142 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,143 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,145 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,146 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,147 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,148 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:01,149 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,149 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,149 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,151 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,152 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,153 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,154 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,155 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,156 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:01,157 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,157 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,158 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,159 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,160 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,161 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,162 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,163 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,164 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:01,165 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,165 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,166 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,167 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,168 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [64]
[ 2018-10-17 17:08:01,169 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,170 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,171 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ WARNING ]  Broadcast of scalar to shape: [96]
[ 2018-10-17 17:08:01,172 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2018-10-17 17:08:01,173 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,173 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,174 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,175 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,176 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,177 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,177 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,177 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,178 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,179 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,180 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,182 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,183 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,184 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,185 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,186 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,187 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [128]
[ 2018-10-17 17:08:01,188 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,189 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,189 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,190 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,191 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,192 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,193 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,194 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,195 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,196 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,197 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,198 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [128]
[ 2018-10-17 17:08:01,199 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,200 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,201 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,201 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,288 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,289 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,290 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,291 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,292 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,293 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,294 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,295 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [128]
[ 2018-10-17 17:08:01,296 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,296 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,297 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,297 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,298 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,299 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,300 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,302 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,303 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,304 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,305 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,306 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [128]
[ 2018-10-17 17:08:01,307 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,308 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,308 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,309 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,310 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,311 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,312 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,313 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,314 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,315 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,316 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,317 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [128]
[ 2018-10-17 17:08:01,318 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,319 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,319 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,320 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,321 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,322 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,323 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,324 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,325 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,326 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,327 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,328 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [128]
[ 2018-10-17 17:08:01,329 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,330 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,330 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,331 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,332 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,332 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,333 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,334 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,335 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,336 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [224]
[ 2018-10-17 17:08:01,337 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [224] and value.shape = (224,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,338 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [128]
[ 2018-10-17 17:08:01,340 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2018-10-17 17:08:01,340 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,340 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,341 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [192]
[ 2018-10-17 17:08:01,343 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,344 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,345 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [320]
[ 2018-10-17 17:08:01,346 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ WARNING ]  Broadcast of scalar to shape: [320]
[ 2018-10-17 17:08:01,346 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [320] and value.shape = (320,)
[ 2018-10-17 17:08:01,347 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,347 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,348 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,349 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,350 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,351 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,352 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,352 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,353 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [448]
[ 2018-10-17 17:08:01,354 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ WARNING ]  Broadcast of scalar to shape: [512]
[ 2018-10-17 17:08:01,355 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,356 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,357 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,357 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,358 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,359 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,359 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,359 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,360 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,362 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,363 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,364 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,365 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,365 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,366 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [448]
[ 2018-10-17 17:08:01,367 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ WARNING ]  Broadcast of scalar to shape: [512]
[ 2018-10-17 17:08:01,368 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,369 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,370 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,371 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,371 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,373 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,373 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,374 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,374 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,375 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,377 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,378 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,378 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,378 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [384]
[ 2018-10-17 17:08:01,379 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ WARNING ]  Broadcast of scalar to shape: [448]
[ 2018-10-17 17:08:01,380 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [448] and value.shape = (448,)
[ WARNING ]  Broadcast of scalar to shape: [512]
[ 2018-10-17 17:08:01,382 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,383 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,384 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,385 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,385 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [256]
[ 2018-10-17 17:08:01,387 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2018-10-17 17:08:01,388 ] [ DEBUG ] [ utils:76 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2018-10-17 17:08:01,388 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2018-10-17 17:08:01,389 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2018-10-17 17:08:01,390 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2018-10-17 17:08:01,396 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2018-10-17 17:08:01,396 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2018-10-17 17:08:01,398 ] [ DEBUG ] [ utils:76 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2018-10-17 17:08:01,398 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2018-10-17 17:08:01,399 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'> will be run before <class 'extensions.front.tf.Pack.Pack'>
[ 2018-10-17 17:08:01,399 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2018-10-17 17:08:01,399 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.FasterRCNNs.TFObjectDetectionAPIFasterRCNNProposalAndROIPooling'> will be run before <class 'extensions.front.tf.FasterRCNNs.SecondStagePostprocessorReplacement'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.FasterRCNNs.TFObjectDetectionAPIFasterRCNNProposalAndROIPooling'> will be run after <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'> will be run before <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNROIPoolingSecond'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'> will be run before <class 'extensions.front.sub.Sub'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'> will be run after <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNDetectionOutput'> will be run before <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNROIPoolingSecond'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNDetectionOutput'> will be run after <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNSigmoid'> will be run after <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNROIPoolingSecond'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.tf.Pack.Pack'>
[ 2018-10-17 17:08:01,400 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalAndROIPoolingReplacement'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalAndROIPoolingReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalAndROIPoolingReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'mo.ops.div.Div'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2018-10-17 17:08:01,401 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.SSDs.PostprocessorReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2018-10-17 17:08:01,402 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.SSDs.PostprocessorReplacement'> will be run after <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'>
[ 2018-10-17 17:08:01,402 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.mvn.MVN'> will be run before <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2018-10-17 17:08:01,402 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> will be run before <class 'extensions.front.tf.Pack.Pack'>
[ 2018-10-17 17:08:01,402 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2018-10-17 17:08:01,402 ] [ DEBUG ] [ class_registration:86 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2018-10-17 17:08:01,402 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2018-10-17 17:08:01,402 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2018-10-17 17:08:01,405 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIOutputReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIOutputReplacement'
[ 2018-10-17 17:08:01,406 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIPreprocessorReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessorReplacement'
[ 2018-10-17 17:08:01,407 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPISSDPostprocessorReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPISSDPostprocessorReplacement'
[ 2018-10-17 17:08:01,407 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'mo.ops.div.Div'>
[ 2018-10-17 17:08:01,478 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalAndROIPoolingReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIProposalAndROIPoolingReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIProposalAndROIPoolingReplacement'
[ 2018-10-17 17:08:01,479 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement'
[ 2018-10-17 17:08:01,479 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'
[ 2018-10-17 17:08:01,479 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement'
[ 2018-10-17 17:08:01,479 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.prelu.PReLU'>
[ 2018-10-17 17:08:01,537 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ 2018-10-17 17:08:01,592 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.mvn.MVN'>
[ 2018-10-17 17:08:01,592 ] [ DEBUG ] [ mvn:35 ]  Enabled MVN replacement
[ 2018-10-17 17:08:01,737 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2018-10-17 17:08:01,809 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ 2018-10-17 17:08:01,902 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2018-10-17 17:08:01,977 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'>
[ 2018-10-17 17:08:02,042 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.image_scaler.ImageScaler'>
[ 2018-10-17 17:08:02,106 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ 2018-10-17 17:08:02,171 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'SSDToolboxDetectionOutput' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'SSDToolboxDetectionOutput'
[ 2018-10-17 17:08:02,173 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.Preprocessor.PreprocessorReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'PreprocessorReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'PreprocessorReplacement'
[ 2018-10-17 17:08:02,173 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.SSDs.PostprocessorReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'TFObjectDetectionAPIDetectionOutput' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFObjectDetectionAPIDetectionOutput'
[ 2018-10-17 17:08:02,173 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2018-10-17 17:08:02,416 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'>
[ WARNING ]  Configuration file for custom replacement with id 'TFYOLO' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFYOLO'
[ 2018-10-17 17:08:02,416 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'>
[ WARNING ]  Configuration file for custom replacement with id 'TFObjectDetectionAPIMaskRCNNProposalAndROIPooling' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFObjectDetectionAPIMaskRCNNProposalAndROIPooling'
[ 2018-10-17 17:08:02,417 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNDetectionOutput'>
[ WARNING ]  Configuration file for custom replacement with id 'TFObjectDetectionAPIMaskRCNNDetectionOutput' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFObjectDetectionAPIMaskRCNNDetectionOutput'
[ 2018-10-17 17:08:02,417 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNROIPoolingSecond'>
[ WARNING ]  Configuration file for custom replacement with id 'TFObjectDetectionAPIMaskRCNNROIPoolingSecond' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFObjectDetectionAPIMaskRCNNROIPoolingSecond'
[ 2018-10-17 17:08:02,417 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.MaskRCNNs.TFObjectDetectionAPIMaskRCNNSigmoid'>
[ WARNING ]  Configuration file for custom replacement with id 'TFObjectDetectionAPIMaskRCNNSigmoid' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFObjectDetectionAPIMaskRCNNSigmoid'
[ 2018-10-17 17:08:02,417 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.sub.Sub'>
[ 2018-10-17 17:08:02,479 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.FasterRCNNs.TFObjectDetectionAPIFasterRCNNProposalAndROIPooling'>
[ WARNING ]  Configuration file for custom replacement with id 'TFObjectDetectionAPIFasterRCNNProposalAndROIPooling' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFObjectDetectionAPIFasterRCNNProposalAndROIPooling'
[ 2018-10-17 17:08:02,479 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.FasterRCNNs.SecondStagePostprocessorReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'SecondStagePostprocessorReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'SecondStagePostprocessorReplacement'
[ 2018-10-17 17:08:02,480 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.Pack.Pack'>
[ 2018-10-17 17:08:02,542 ] [ DEBUG ] [ replacement:89 ]  Created edge from Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/Concat_ to Logits_out_1/PreLogitsFlatten_out/flatten/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge'], 'out_attrs': ['out', 'control_flow_edge'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2018-10-17 17:08:02,543 ] [ DEBUG ] [ replacement:196 ]  Removing nodes: ['Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape']
[ 2018-10-17 17:08:02,543 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ConvFlatten' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ConvFlatten'
[ 2018-10-17 17:08:02,819 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/sink_port_0
[ 2018-10-17 17:08:03,229 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:03,294 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,294 ] [ DEBUG ] [ infer:124 ]  Partial infer for 1882
[ 2018-10-17 17:08:03,294 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,294 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,294 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,295 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [0]
[ 2018-10-17 17:08:03,295 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,295 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/1
[ 2018-10-17 17:08:03,295 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,295 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,295 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,295 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = -1
[ 2018-10-17 17:08:03,296 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,296 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/ExpandDims_1884
[ 2018-10-17 17:08:03,296 ] [ DEBUG ] [ infer:125 ]  Op: ExpandDims
[ 2018-10-17 17:08:03,296 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,296 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [], value = -1
[ 2018-10-17 17:08:03,296 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,297 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [-1]
[ 2018-10-17 17:08:03,297 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,297 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack_2
[ 2018-10-17 17:08:03,297 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,297 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,297 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,298 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [1]
[ 2018-10-17 17:08:03,298 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,298 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack_1
[ 2018-10-17 17:08:03,298 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,298 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,298 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,298 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [1]
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [0]
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/Reshape/shape
[ 2018-10-17 17:08:03,299 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [2], value = [  -1 1536]
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/concat/axis
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,300 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,301 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,301 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,301 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,301 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,301 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,303 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,303 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,303 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/concat/axis
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,304 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,307 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,307 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,307 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,307 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,307 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,307 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,310 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,310 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,310 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,310 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,310 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,310 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,314 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,315 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,315 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,315 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,315 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,315 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,319 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,319 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,319 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,319 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,319 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,319 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,323 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,323 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,323 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/concat/axis
[ 2018-10-17 17:08:03,323 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,323 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,324 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,324 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,324 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,324 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,324 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,324 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,324 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,327 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,327 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,327 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,327 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,327 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,327 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,330 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,330 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,330 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,330 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,330 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,330 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,334 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,334 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,334 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,334 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,334 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,334 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,336 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/concat/axis
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,337 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,338 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,338 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,340 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/concat/axis
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,341 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,342 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,342 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,342 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,344 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,345 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,345 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,345 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,345 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,345 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,347 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,348 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,348 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,348 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,348 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,348 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,352 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,352 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,353 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,353 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,353 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,353 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,357 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,357 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,357 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,357 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,358 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,358 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,361 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,361 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/concat/axis
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,362 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,363 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,365 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,365 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,365 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,365 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,366 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,366 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,368 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,369 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,369 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,369 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,369 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,369 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,372 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,373 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,373 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,373 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,373 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,373 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,376 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,376 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,376 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/concat/axis
[ 2018-10-17 17:08:03,376 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,376 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,376 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,377 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,377 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,377 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,377 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,377 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,377 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,379 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/concat/axis
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,380 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,381 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,381 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,383 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,383 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,383 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,383 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,383 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,384 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,386 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,386 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,386 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,386 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,386 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,387 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,391 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,392 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,392 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,392 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,392 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,392 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,396 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,396 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,396 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,397 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,397 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,397 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,400 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,401 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,401 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/concat/axis
[ 2018-10-17 17:08:03,401 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,401 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,401 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,401 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,401 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,402 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/Const
[ 2018-10-17 17:08:03,402 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,402 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,402 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,404 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,404 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,405 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/Const
[ 2018-10-17 17:08:03,405 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,405 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,405 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,407 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,407 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,408 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,408 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,408 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,408 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,411 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,412 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,412 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,412 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,412 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,412 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,414 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,414 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/concat/axis
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,415 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,416 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,416 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,419 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,419 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,419 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,419 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,419 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,420 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,422 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,423 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,423 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,423 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,423 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,423 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,425 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,425 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,426 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,426 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,426 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,426 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,428 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,428 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,428 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,428 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,428 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,429 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,430 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,430 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,431 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,431 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,431 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,431 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/concat/axis
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,433 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,434 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,434 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,435 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,435 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,435 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,435 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,436 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,436 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,438 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,438 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,438 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,439 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,439 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,439 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,441 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,441 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,441 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,441 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,442 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,442 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,444 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,444 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,444 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,444 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,444 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,444 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,447 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,447 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,447 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,447 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,447 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,447 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,449 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,449 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,450 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,450 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,450 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,450 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,452 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,452 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,453 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,453 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,453 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,453 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,455 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,455 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,455 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,455 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,455 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,455 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,457 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,457 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,457 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,458 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,458 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,458 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,461 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,461 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,461 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/concat/axis
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,462 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,464 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,464 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,464 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,464 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,464 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,464 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,467 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,467 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,467 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,467 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,467 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,467 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,469 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,470 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,470 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,470 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,470 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,470 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,472 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,472 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,472 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,473 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,473 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,473 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,475 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,475 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,475 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,475 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,475 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,475 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,477 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,478 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,478 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,478 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,478 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,478 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,481 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,481 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,481 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,481 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,481 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,481 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,483 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,483 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,484 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,484 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,484 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,484 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,486 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,486 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,486 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,486 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,486 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,486 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,489 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/concat/axis
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,490 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,491 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,491 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,492 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,492 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,492 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,492 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,492 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,493 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,495 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,495 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,495 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,495 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,496 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,496 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,498 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,498 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,498 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,498 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,498 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,498 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,501 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,501 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,501 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,501 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,501 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,501 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,503 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,503 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,503 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,504 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,504 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,504 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,506 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,506 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,506 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,506 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,506 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,506 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,508 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,509 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,509 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,509 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,509 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,509 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,511 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,511 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,511 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,511 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,511 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,512 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,513 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,513 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,514 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,514 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,514 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,514 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,517 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,517 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,517 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/concat/axis
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,518 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,520 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,520 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,520 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,520 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,520 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,520 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,522 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,523 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,523 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,523 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,523 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,523 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,525 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,525 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,526 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,526 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,526 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,526 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,528 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,528 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,528 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,529 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,529 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,529 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,531 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,531 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,531 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,531 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,531 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,531 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,533 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,533 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,533 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,533 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,533 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,533 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,536 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,536 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,536 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,536 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,536 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,536 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,538 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,539 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,539 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,539 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,539 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,539 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,541 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,541 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,541 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,541 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,542 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,542 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,545 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,545 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,545 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/concat/axis
[ 2018-10-17 17:08:03,545 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,546 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,548 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,548 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,548 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,548 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,548 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,548 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,551 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,551 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,551 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,551 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,551 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,551 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,553 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,554 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,554 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,554 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,554 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,554 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,556 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,556 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,556 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,556 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,557 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,557 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,558 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,559 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,559 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,559 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,559 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,559 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,561 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,561 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,561 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,561 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,561 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,561 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,564 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,564 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,564 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,564 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,564 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,564 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,566 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,567 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,567 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,567 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,567 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,567 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,569 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,569 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,569 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,569 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,569 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,569 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,572 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/concat/axis
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,573 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,574 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,574 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,574 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,575 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,575 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,575 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,575 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,575 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,576 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,578 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,578 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,578 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,578 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,578 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,578 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,580 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,581 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,581 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,581 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,581 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,581 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,583 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,583 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,583 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,584 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,584 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,584 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,586 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,586 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,586 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,586 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,586 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,586 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,588 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,588 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,588 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,588 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,589 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,589 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,591 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,591 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,591 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,591 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,592 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,592 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,594 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,594 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,594 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,594 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,595 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,595 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,597 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,598 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,598 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,598 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,598 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,598 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,602 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,602 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,602 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/concat/axis
[ 2018-10-17 17:08:03,602 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,602 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,603 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,603 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,603 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,603 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,604 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,604 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,604 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,606 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,607 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,607 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,607 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,608 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,608 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,610 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,610 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,610 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,611 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,611 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,611 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,613 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,613 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,619 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,620 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,620 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,620 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,622 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,623 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,623 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,623 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,623 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,623 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,625 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,625 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,625 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,625 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,626 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,626 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,628 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,628 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,628 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,628 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,628 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,628 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,631 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,631 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,631 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,631 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,631 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,632 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,640 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,640 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,640 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,640 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,641 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,641 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,643 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,643 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,643 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,643 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,643 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,643 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,661 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,662 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,662 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/concat/axis
[ 2018-10-17 17:08:03,662 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,663 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,663 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,663 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,663 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,663 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,663 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,663 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,664 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,666 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,666 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,666 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,667 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,667 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,667 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,669 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,669 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,669 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,670 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,670 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,670 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,672 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,672 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,672 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,672 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,672 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,672 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,676 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,676 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,676 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/concat/axis
[ 2018-10-17 17:08:03,676 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,676 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,676 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,677 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,677 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,677 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,677 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,677 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,677 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,678 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,679 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,679 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,680 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,680 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,680 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,681 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,682 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,682 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,683 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,683 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,683 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,685 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,685 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,685 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,685 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,685 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,685 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,686 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,686 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,687 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,687 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,687 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,687 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,688 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,689 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,689 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,689 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,690 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,690 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,690 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,691 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,691 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,691 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,691 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,691 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,692 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,692 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,692 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/concat/axis
[ 2018-10-17 17:08:03,692 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,693 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,698 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,698 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,698 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,698 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,698 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,698 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,699 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,700 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,700 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,700 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,700 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,700 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,701 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,702 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,702 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,702 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,702 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,702 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,703 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,703 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,703 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,703 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,703 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,703 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,704 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,705 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,705 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,705 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,705 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,705 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,706 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,706 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,706 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,706 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,706 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,706 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,707 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/concat/axis
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,708 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,709 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,709 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,710 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,710 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,710 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,711 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,711 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,711 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,712 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,712 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,712 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,712 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,713 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,713 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,714 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,714 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,714 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,714 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,716 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,717 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,718 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,718 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,718 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,718 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,718 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,719 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,720 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,720 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,720 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,720 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,720 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,720 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,721 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,722 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,722 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,722 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,722 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,722 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,723 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,723 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,723 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/concat/axis
[ 2018-10-17 17:08:03,724 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,724 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,724 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,724 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,724 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,724 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,724 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,725 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,725 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,726 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,726 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,726 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,726 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,726 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,727 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,728 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,728 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,728 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,728 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,728 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,729 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,730 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,731 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,731 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,732 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,732 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,732 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,733 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,733 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,733 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,733 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,733 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,733 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,734 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,734 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,734 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,735 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,735 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,735 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,736 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,736 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,736 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,736 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,736 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,736 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,740 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,741 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,741 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5a/concat/axis
[ 2018-10-17 17:08:03,741 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,741 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,741 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,741 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,742 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,742 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,742 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,742 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,742 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,744 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,744 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,745 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/concat/axis
[ 2018-10-17 17:08:03,745 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,745 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,745 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,745 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,745 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,745 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,746 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,746 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,746 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,747 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,747 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,747 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
[ 2018-10-17 17:08:03,747 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,748 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,748 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,749 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,749 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,749 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
[ 2018-10-17 17:08:03,749 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,749 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,749 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,750 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,750 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,750 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,751 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,751 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,751 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,752 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,752 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,752 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,752 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,752 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,752 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,754 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,754 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,754 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
[ 2018-10-17 17:08:03,754 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,754 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,755 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,755 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,756 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,756 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_3a/concat/axis
[ 2018-10-17 17:08:03,756 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,756 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,756 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,756 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 3
[ 2018-10-17 17:08:03,757 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,757 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,757 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,757 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,757 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,758 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,759 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,759 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,759 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,759 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,759 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,760 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:03,760 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,760 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,761 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,761 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,761 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,761 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1.]
[ 2018-10-17 17:08:03,763 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,763 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/Const
[ 2018-10-17 17:08:03,763 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,763 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,763 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,764 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1.]
[ 2018-10-17 17:08:03,764 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,764 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out/Logits_out/biases
[ 2018-10-17 17:08:03,764 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,765 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,765 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,765 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [10], value = [-0.00346896 -0.00165675  0.00117246  0.00044329 -0.00347213  0.00273015
  0.00143387  0.00218477...
[ 2018-10-17 17:08:03,765 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,766 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out/Logits_out/biases/read
[ 2018-10-17 17:08:03,766 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,766 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,766 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [10], value = [-0.00346896 -0.00165675  0.00117246  0.00044329 -0.00347213  0.00273015
  0.00143387  0.00218477...
[ 2018-10-17 17:08:03,766 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,767 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [10], value = [-0.00346896 -0.00165675  0.00117246  0.00044329 -0.00347213  0.00273015
  0.00143387  0.00218477...
[ 2018-10-17 17:08:03,767 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,767 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out/Logits_out/weights
[ 2018-10-17 17:08:03,767 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,768 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,768 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,768 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1536   10], value = [[ 0.03200442  0.03990884  0.0027942  ...  0.03258949 -0.02321605
  -0.02273106]
 [-0.06121448 -0...
[ 2018-10-17 17:08:03,769 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,769 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out/Logits_out/weights/read
[ 2018-10-17 17:08:03,769 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,769 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,770 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [1536   10], value = [[ 0.03200442  0.03990884  0.0027942  ...  0.03258949 -0.02321605
  -0.02273106]
 [-0.06121448 -0...
[ 2018-10-17 17:08:03,770 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,771 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1536   10], value = [[ 0.03200442  0.03990884  0.0027942  ...  0.03258949 -0.02321605
  -0.02273106]
 [-0.06121448 -0...
[ 2018-10-17 17:08:03,771 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,771 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:03,771 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,771 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,772 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,778 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.02558174 0.02048639 0.01980754 0.02484963 0.02221248 0.01633101
 0.01736439 0.02132616 0.03019...
[ 2018-10-17 17:08:03,778 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,778 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:03,778 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,780 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,783 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.02558174 0.02048639 0.01980754 0.02484963 0.02221248 0.01633101
 0.01736439 0.02132616 0.03019...
[ 2018-10-17 17:08:03,783 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,786 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.02558174 0.02048639 0.01980754 0.02484963 0.02221248 0.01633101
 0.01736439 0.02132616 0.03019...
[ 2018-10-17 17:08:03,786 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,786 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:03,786 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,786 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,786 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,789 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.03853315 -0.04259018  0.1033567  -0.02128715  0.02474627  0.00140465
  0.0260533  -0.08066642...
[ 2018-10-17 17:08:03,789 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,789 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:03,789 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,789 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,792 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.03853315 -0.04259018  0.1033567  -0.02128715  0.02474627  0.00140465
  0.0260533  -0.08066642...
[ 2018-10-17 17:08:03,792 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,795 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.03853315 -0.04259018  0.1033567  -0.02128715  0.02474627  0.00140465
  0.0260533  -0.08066642...
[ 2018-10-17 17:08:03,795 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,795 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:03,795 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,795 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,795 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,801 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.08605138 -0.03584268 -0.06559272 -0.01508238 -0.03981678  0.00383717
 -0.04347052 -0.18306531...
[ 2018-10-17 17:08:03,801 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,801 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:03,801 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,801 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,804 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.08605138 -0.03584268 -0.06559272 -0.01508238 -0.03981678  0.00383717
 -0.04347052 -0.18306531...
[ 2018-10-17 17:08:03,804 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,807 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.08605138 -0.03584268 -0.06559272 -0.01508238 -0.03981678  0.00383717
 -0.04347052 -0.18306531...
[ 2018-10-17 17:08:03,807 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,807 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:03,807 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,808 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,808 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,809 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[ 0.04592107 -0.00430723 -0.00629159 ...  0.00186107 -0.02740753
     0.01227907]
   [-0.00657...
[ 2018-10-17 17:08:03,809 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,809 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:03,809 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,809 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,810 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  256], value = [[[[ 0.04592107 -0.00430723 -0.00629159 ...  0.00186107 -0.02740753
     0.01227907]
   [-0.00657...
[ 2018-10-17 17:08:03,811 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,811 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[ 0.04592107 -0.00430723 -0.00629159 ...  0.00186107 -0.02740753
     0.01227907]
   [-0.00657...
[ 2018-10-17 17:08:03,812 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,812 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:03,812 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,812 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,812 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,819 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.06995486 0.05626905 0.064803   0.06771526 0.13791265 0.10547176
 0.13200374 0.07248411 0.10668...
[ 2018-10-17 17:08:03,820 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,820 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:03,820 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,820 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,823 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.06995486 0.05626905 0.064803   0.06771526 0.13791265 0.10547176
 0.13200374 0.07248411 0.10668...
[ 2018-10-17 17:08:03,823 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,826 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.06995486 0.05626905 0.064803   0.06771526 0.13791265 0.10547176
 0.13200374 0.07248411 0.10668...
[ 2018-10-17 17:08:03,826 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,826 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:03,826 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,826 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,826 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,829 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.29539847e-01 -2.32386425e-01 -4.41097468e-02 -1.53548151e-01
  2.07472146e-02  1.67391282e-02...
[ 2018-10-17 17:08:03,829 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,829 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:03,829 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,830 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,832 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.29539847e-01 -2.32386425e-01 -4.41097468e-02 -1.53548151e-01
  2.07472146e-02  1.67391282e-02...
[ 2018-10-17 17:08:03,832 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,835 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.29539847e-01 -2.32386425e-01 -4.41097468e-02 -1.53548151e-01
  2.07472146e-02  1.67391282e-02...
[ 2018-10-17 17:08:03,835 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,835 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/beta
[ 2018-10-17 17:08:03,835 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,835 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,836 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,838 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.15764204 -0.24766263 -0.2537846  -0.19052427 -0.12319073 -0.15827039
 -0.2908034  -0.27628863...
[ 2018-10-17 17:08:03,839 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,839 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:03,839 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,839 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,843 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.15764204 -0.24766263 -0.2537846  -0.19052427 -0.12319073 -0.15827039
 -0.2908034  -0.27628863...
[ 2018-10-17 17:08:03,843 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,845 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.15764204 -0.24766263 -0.2537846  -0.19052427 -0.12319073 -0.15827039
 -0.2908034  -0.27628863...
[ 2018-10-17 17:08:03,846 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,846 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/weights
[ 2018-10-17 17:08:03,846 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,846 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,846 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,848 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 512 256], value = [[[[-1.93694085e-02 -5.16813481e-03  3.22035211e-03 ...  2.22257655e-02
    -4.21590917e-03 -1.24...
[ 2018-10-17 17:08:03,848 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,848 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/weights/read
[ 2018-10-17 17:08:03,848 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,848 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,850 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 512 256], value = [[[[-1.93694085e-02 -5.16813481e-03  3.22035211e-03 ...  2.22257655e-02
    -4.21590917e-03 -1.24...
[ 2018-10-17 17:08:03,850 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,852 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 512 256], value = [[[[-1.93694085e-02 -5.16813481e-03  3.22035211e-03 ...  2.22257655e-02
    -4.21590917e-03 -1.24...
[ 2018-10-17 17:08:03,852 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,852 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:03,852 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,852 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,853 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,860 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.08391583 0.15755858 0.09498972 0.14496742 0.09298485 0.08788251
 0.09017254 0.08743858 0.12081...
[ 2018-10-17 17:08:03,860 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,860 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:03,861 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,861 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,863 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.08391583 0.15755858 0.09498972 0.14496742 0.09298485 0.08788251
 0.09017254 0.08743858 0.12081...
[ 2018-10-17 17:08:03,863 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,866 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.08391583 0.15755858 0.09498972 0.14496742 0.09298485 0.08788251
 0.09017254 0.08743858 0.12081...
[ 2018-10-17 17:08:03,866 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,866 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:03,866 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,867 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,867 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,869 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.21341810e-01  4.18589450e-02 -1.68773770e-01  5.58064952e-02
 -1.48778036e-02 -1.73930451e-01...
[ 2018-10-17 17:08:03,869 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,869 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:03,870 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,870 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,872 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.21341810e-01  4.18589450e-02 -1.68773770e-01  5.58064952e-02
 -1.48778036e-02 -1.73930451e-01...
[ 2018-10-17 17:08:03,872 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,875 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.21341810e-01  4.18589450e-02 -1.68773770e-01  5.58064952e-02
 -1.48778036e-02 -1.73930451e-01...
[ 2018-10-17 17:08:03,875 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,876 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/beta
[ 2018-10-17 17:08:03,876 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,876 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,876 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,881 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.3044945  -0.23206867 -0.12373646 -0.22004452 -0.27506995 -0.24766333
 -0.24109691 -0.21483508...
[ 2018-10-17 17:08:03,882 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,882 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:03,882 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,882 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,885 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.3044945  -0.23206867 -0.12373646 -0.22004452 -0.27506995 -0.24766333
 -0.24109691 -0.21483508...
[ 2018-10-17 17:08:03,885 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,887 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.3044945  -0.23206867 -0.12373646 -0.22004452 -0.27506995 -0.24766333
 -0.24109691 -0.21483508...
[ 2018-10-17 17:08:03,888 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,888 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/weights
[ 2018-10-17 17:08:03,888 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,888 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,888 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,889 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 512 256], value = [[[[ 5.09019941e-04 -1.33452739e-03  9.00526356e-04 ... -1.31640434e-02
    -3.40717868e-03 -6.75...
[ 2018-10-17 17:08:03,890 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,890 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/weights/read
[ 2018-10-17 17:08:03,890 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,890 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,895 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 512 256], value = [[[[ 5.09019941e-04 -1.33452739e-03  9.00526356e-04 ... -1.31640434e-02
    -3.40717868e-03 -6.75...
[ 2018-10-17 17:08:03,895 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,897 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 512 256], value = [[[[ 5.09019941e-04 -1.33452739e-03  9.00526356e-04 ... -1.31640434e-02
    -3.40717868e-03 -6.75...
[ 2018-10-17 17:08:03,897 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,897 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:03,897 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,897 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,897 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,902 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [0.12512566 0.12676556 0.22888169 0.08847647 0.18395026 0.14699705
 0.11841959 0.11558428 0.16683...
[ 2018-10-17 17:08:03,903 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,903 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:03,903 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,903 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,908 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [0.12512566 0.12676556 0.22888169 0.08847647 0.18395026 0.14699705
 0.11841959 0.11558428 0.16683...
[ 2018-10-17 17:08:03,908 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,915 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [0.12512566 0.12676556 0.22888169 0.08847647 0.18395026 0.14699705
 0.11841959 0.11558428 0.16683...
[ 2018-10-17 17:08:03,915 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,915 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:03,915 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,915 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,915 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,920 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.37335718 -0.50826436 -0.5429887  -0.31758916 -0.5650168  -0.5401243
 -0.5099788  -0.4232624  ...
[ 2018-10-17 17:08:03,920 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,920 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:03,921 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,921 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,929 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [-0.37335718 -0.50826436 -0.5429887  -0.31758916 -0.5650168  -0.5401243
 -0.5099788  -0.4232624  ...
[ 2018-10-17 17:08:03,930 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,935 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.37335718 -0.50826436 -0.5429887  -0.31758916 -0.5650168  -0.5401243
 -0.5099788  -0.4232624  ...
[ 2018-10-17 17:08:03,935 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,935 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/beta
[ 2018-10-17 17:08:03,935 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,935 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,935 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,940 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.79834133 -0.78811336 -0.74754417 -1.1139306  -0.70142865 -0.5423366
 -0.8736983  -0.6907582  ...
[ 2018-10-17 17:08:03,941 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,941 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:03,941 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,941 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,946 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [-0.79834133 -0.78811336 -0.74754417 -1.1139306  -0.70142865 -0.5423366
 -0.8736983  -0.6907582  ...
[ 2018-10-17 17:08:03,946 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,954 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.79834133 -0.78811336 -0.74754417 -1.1139306  -0.70142865 -0.5423366
 -0.8736983  -0.6907582  ...
[ 2018-10-17 17:08:03,954 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,955 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/weights
[ 2018-10-17 17:08:03,955 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,955 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,955 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,956 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 448 512], value = [[[[-8.93412717e-03 -2.50257403e-02 -2.49707233e-02 ... -1.36484473e-03
    -1.04995370e-02 -1.58...
[ 2018-10-17 17:08:03,957 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,957 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/weights/read
[ 2018-10-17 17:08:03,957 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,957 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,958 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 448 512], value = [[[[-8.93412717e-03 -2.50257403e-02 -2.49707233e-02 ... -1.36484473e-03
    -1.04995370e-02 -1.58...
[ 2018-10-17 17:08:03,959 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,962 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 448 512], value = [[[[-8.93412717e-03 -2.50257403e-02 -2.49707233e-02 ... -1.36484473e-03
    -1.04995370e-02 -1.58...
[ 2018-10-17 17:08:03,962 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,962 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:03,962 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,962 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,962 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,967 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [0.07484727 0.05105705 0.08121999 0.07057815 0.0812702  0.05058024
 0.07066348 0.04949147 0.06885...
[ 2018-10-17 17:08:03,967 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,967 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:03,967 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,967 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,972 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [0.07484727 0.05105705 0.08121999 0.07057815 0.0812702  0.05058024
 0.07066348 0.04949147 0.06885...
[ 2018-10-17 17:08:03,972 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,976 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [0.07484727 0.05105705 0.08121999 0.07057815 0.0812702  0.05058024
 0.07066348 0.04949147 0.06885...
[ 2018-10-17 17:08:03,979 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,979 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:03,979 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,979 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,979 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,984 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-0.25956753 -0.20351271 -0.19538318 -0.27841473 -0.19877438 -0.15832187
 -0.19365884 -0.12406829...
[ 2018-10-17 17:08:03,984 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,984 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:03,984 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,985 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,989 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [-0.25956753 -0.20351271 -0.19538318 -0.27841473 -0.19877438 -0.15832187
 -0.19365884 -0.12406829...
[ 2018-10-17 17:08:03,989 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,993 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-0.25956753 -0.20351271 -0.19538318 -0.27841473 -0.19877438 -0.15832187
 -0.19365884 -0.12406829...
[ 2018-10-17 17:08:03,994 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,994 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/beta
[ 2018-10-17 17:08:03,994 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:03,994 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:03,994 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:03,998 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-5.3627038e-01 -7.9699326e-01 -4.8410615e-01 -4.6397686e-01
 -6.1329305e-01 -9.2447180e-01 -5.35...
[ 2018-10-17 17:08:03,999 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:03,999 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:03,999 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:03,999 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,006 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [-5.3627038e-01 -7.9699326e-01 -4.8410615e-01 -4.6397686e-01
 -6.1329305e-01 -9.2447180e-01 -5.35...
[ 2018-10-17 17:08:04,007 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,013 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-5.3627038e-01 -7.9699326e-01 -4.8410615e-01 -4.6397686e-01
 -6.1329305e-01 -9.2447180e-01 -5.35...
[ 2018-10-17 17:08:04,014 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,014 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/weights
[ 2018-10-17 17:08:04,014 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,014 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,014 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,016 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 448], value = [[[[-0.00110455 -0.0048446   0.00561695 ...  0.00546288 -0.02418891
    -0.01923557]
   [ 0.01491...
[ 2018-10-17 17:08:04,016 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,016 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/weights/read
[ 2018-10-17 17:08:04,016 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,016 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,018 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 384 448], value = [[[[-0.00110455 -0.0048446   0.00561695 ...  0.00546288 -0.02418891
    -0.01923557]
   [ 0.01491...
[ 2018-10-17 17:08:04,018 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,020 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 448], value = [[[[-0.00110455 -0.0048446   0.00561695 ...  0.00546288 -0.02418891
    -0.01923557]
   [ 0.01491...
[ 2018-10-17 17:08:04,020 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,020 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,020 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,020 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,020 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,024 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.08056553 0.07217974 0.06836148 0.05979759 0.05831439 0.06881166
 0.09689742 0.07466856 2.62337...
[ 2018-10-17 17:08:04,024 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,024 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,024 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,024 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,028 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.08056553 0.07217974 0.06836148 0.05979759 0.05831439 0.06881166
 0.09689742 0.07466856 2.62337...
[ 2018-10-17 17:08:04,029 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,033 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.08056553 0.07217974 0.06836148 0.05979759 0.05831439 0.06881166
 0.09689742 0.07466856 2.62337...
[ 2018-10-17 17:08:04,034 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,034 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,034 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,034 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,034 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,038 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.25960317 -0.4346543  -0.43518406 -0.07718933 -0.3247816  -0.34129786
 -0.3306712  -0.36809924...
[ 2018-10-17 17:08:04,038 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,038 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,038 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,039 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,042 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.25960317 -0.4346543  -0.43518406 -0.07718933 -0.3247816  -0.34129786
 -0.3306712  -0.36809924...
[ 2018-10-17 17:08:04,042 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,046 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.25960317 -0.4346543  -0.43518406 -0.07718933 -0.3247816  -0.34129786
 -0.3306712  -0.36809924...
[ 2018-10-17 17:08:04,046 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,047 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,047 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,047 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,047 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,055 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.76711357 -0.64458716 -0.8298776  -0.7281132  -0.7073587  -0.71364504
 -0.6917675  -0.7106947 ...
[ 2018-10-17 17:08:04,056 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,056 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,056 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,056 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,060 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.76711357 -0.64458716 -0.8298776  -0.7281132  -0.7073587  -0.71364504
 -0.6917675  -0.7106947 ...
[ 2018-10-17 17:08:04,062 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,066 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.76711357 -0.64458716 -0.8298776  -0.7281132  -0.7073587  -0.71364504
 -0.6917675  -0.7106947 ...
[ 2018-10-17 17:08:04,066 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,066 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:04,066 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,066 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,066 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,067 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.01437153  0.04230596  0.03605057 ...  0.00920672  0.01225351
     0.02048896]
   [-0.01301...
[ 2018-10-17 17:08:04,067 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,067 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:04,068 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,068 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,068 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  384], value = [[[[ 0.01437153  0.04230596  0.03605057 ...  0.00920672  0.01225351
     0.02048896]
   [-0.01301...
[ 2018-10-17 17:08:04,069 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,069 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.01437153  0.04230596  0.03605057 ...  0.00920672  0.01225351
     0.02048896]
   [-0.01301...
[ 2018-10-17 17:08:04,069 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,070 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,070 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,070 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,070 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,072 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.03300449 0.02567113 0.01929583 0.03777151 0.02886693 0.0237996
 0.03133319 0.02394667 0.033558...
[ 2018-10-17 17:08:04,072 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,073 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,073 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,073 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,075 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.03300449 0.02567113 0.01929583 0.03777151 0.02886693 0.0237996
 0.03133319 0.02394667 0.033558...
[ 2018-10-17 17:08:04,075 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,079 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.03300449 0.02567113 0.01929583 0.03777151 0.02886693 0.0237996
 0.03133319 0.02394667 0.033558...
[ 2018-10-17 17:08:04,080 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,080 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,080 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,080 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,080 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,083 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.00255724 -0.00185784 -0.02834255  0.02957669  0.01210772  0.01485071
 -0.05001049 -0.02235144...
[ 2018-10-17 17:08:04,083 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,083 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,083 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,083 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,086 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.00255724 -0.00185784 -0.02834255  0.02957669  0.01210772  0.01485071
 -0.05001049 -0.02235144...
[ 2018-10-17 17:08:04,087 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,093 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.00255724 -0.00185784 -0.02834255  0.02957669  0.01210772  0.01485071
 -0.05001049 -0.02235144...
[ 2018-10-17 17:08:04,093 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,093 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/beta
[ 2018-10-17 17:08:04,093 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,094 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,094 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,096 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.08247861 -0.09218455 -0.0691449  -0.02805036 -0.05411441 -0.05490113
 -0.05022158 -0.09854688...
[ 2018-10-17 17:08:04,097 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,097 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,097 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,097 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,100 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.08247861 -0.09218455 -0.0691449  -0.02805036 -0.05411441 -0.05490113
 -0.05022158 -0.09854688...
[ 2018-10-17 17:08:04,100 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,103 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.08247861 -0.09218455 -0.0691449  -0.02805036 -0.05411441 -0.05490113
 -0.05022158 -0.09854688...
[ 2018-10-17 17:08:04,103 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,103 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/weights
[ 2018-10-17 17:08:04,103 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,104 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,104 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,105 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 256], value = [[[[-0.00891177 -0.00717202 -0.00061267 ... -0.00432054 -0.00720912
    -0.00093468]
   [ 0.00132...
[ 2018-10-17 17:08:04,105 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,106 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/weights/read
[ 2018-10-17 17:08:04,106 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,106 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,107 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 384 256], value = [[[[-0.00891177 -0.00717202 -0.00061267 ... -0.00432054 -0.00720912
    -0.00093468]
   [ 0.00132...
[ 2018-10-17 17:08:04,108 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,109 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 256], value = [[[[-0.00891177 -0.00717202 -0.00061267 ... -0.00432054 -0.00720912
    -0.00093468]
   [ 0.00132...
[ 2018-10-17 17:08:04,109 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,110 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,110 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,110 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,110 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,112 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.0304961  0.02650052 0.03865824 0.02696037 0.02505458 0.02266331
 0.03045039 0.03049611 0.03232...
[ 2018-10-17 17:08:04,113 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,113 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,113 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,113 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,115 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.0304961  0.02650052 0.03865824 0.02696037 0.02505458 0.02266331
 0.03045039 0.03049611 0.03232...
[ 2018-10-17 17:08:04,115 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,118 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.0304961  0.02650052 0.03865824 0.02696037 0.02505458 0.02266331
 0.03045039 0.03049611 0.03232...
[ 2018-10-17 17:08:04,118 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,118 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,118 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,118 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,118 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,121 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-4.02674731e-03  3.74747664e-02  9.54197999e-03  1.44125484e-02
  2.18018293e-02 -1.21322814e-02...
[ 2018-10-17 17:08:04,121 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,121 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,121 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,121 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,124 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-4.02674731e-03  3.74747664e-02  9.54197999e-03  1.44125484e-02
  2.18018293e-02 -1.21322814e-02...
[ 2018-10-17 17:08:04,125 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,127 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-4.02674731e-03  3.74747664e-02  9.54197999e-03  1.44125484e-02
  2.18018293e-02 -1.21322814e-02...
[ 2018-10-17 17:08:04,127 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,128 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/beta
[ 2018-10-17 17:08:04,128 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,128 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,128 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,130 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.04472354 -0.10106947 -0.05173438 -0.11731727 -0.12875421 -0.12604171
 -0.11073586 -0.03238529...
[ 2018-10-17 17:08:04,131 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,131 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:04,131 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,131 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,134 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.04472354 -0.10106947 -0.05173438 -0.11731727 -0.12875421 -0.12604171
 -0.11073586 -0.03238529...
[ 2018-10-17 17:08:04,134 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,137 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.04472354 -0.10106947 -0.05173438 -0.11731727 -0.12875421 -0.12604171
 -0.11073586 -0.03238529...
[ 2018-10-17 17:08:04,137 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,137 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/weights
[ 2018-10-17 17:08:04,137 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,137 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,137 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,139 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 384 256], value = [[[[ 6.4396620e-04  2.8216718e-03  5.8225607e-03 ...  7.2173402e-03
    -4.9547846e-03 -2.5806554...
[ 2018-10-17 17:08:04,139 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,139 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/weights/read
[ 2018-10-17 17:08:04,139 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,140 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,141 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 384 256], value = [[[[ 6.4396620e-04  2.8216718e-03  5.8225607e-03 ...  7.2173402e-03
    -4.9547846e-03 -2.5806554...
[ 2018-10-17 17:08:04,141 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,142 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 384 256], value = [[[[ 6.4396620e-04  2.8216718e-03  5.8225607e-03 ...  7.2173402e-03
    -4.9547846e-03 -2.5806554...
[ 2018-10-17 17:08:04,143 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,143 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,143 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,143 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,143 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,147 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.06547704 0.07267802 0.05962871 0.0938967  0.09570397 0.03214364
 0.11510604 0.04718731 0.05872...
[ 2018-10-17 17:08:04,147 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,147 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,147 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,147 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,151 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.06547704 0.07267802 0.05962871 0.0938967  0.09570397 0.03214364
 0.11510604 0.04718731 0.05872...
[ 2018-10-17 17:08:04,151 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,155 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.06547704 0.07267802 0.05962871 0.0938967  0.09570397 0.03214364
 0.11510604 0.04718731 0.05872...
[ 2018-10-17 17:08:04,155 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,155 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,155 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,155 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,155 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,159 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.25177655 -0.35628152 -0.2798706  -0.45267957 -0.3481113  -0.08190811
 -0.44119093 -0.24762236...
[ 2018-10-17 17:08:04,159 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,160 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,160 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,160 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,163 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.25177655 -0.35628152 -0.2798706  -0.45267957 -0.3481113  -0.08190811
 -0.44119093 -0.24762236...
[ 2018-10-17 17:08:04,164 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,167 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.25177655 -0.35628152 -0.2798706  -0.45267957 -0.3481113  -0.08190811
 -0.44119093 -0.24762236...
[ 2018-10-17 17:08:04,167 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,167 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,167 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,168 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,168 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,171 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-1.0768168  -0.888822   -0.86637527 -0.59088033 -0.85087    -1.766065
 -0.6754596  -1.5137554  -...
[ 2018-10-17 17:08:04,172 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,172 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,172 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,172 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,176 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-1.0768168  -0.888822   -0.86637527 -0.59088033 -0.85087    -1.766065
 -0.6754596  -1.5137554  -...
[ 2018-10-17 17:08:04,176 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,180 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-1.0768168  -0.888822   -0.86637527 -0.59088033 -0.85087    -1.766065
 -0.6754596  -1.5137554  -...
[ 2018-10-17 17:08:04,180 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,180 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:04,180 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,181 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,181 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,181 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.00127446  0.0016062  -0.00903321 ...  0.03882834 -0.01402953
     0.01680521]
   [-0.00666...
[ 2018-10-17 17:08:04,182 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,182 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:04,182 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,182 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,183 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  384], value = [[[[ 0.00127446  0.0016062  -0.00903321 ...  0.03882834 -0.01402953
     0.01680521]
   [-0.00666...
[ 2018-10-17 17:08:04,183 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,184 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.00127446  0.0016062  -0.00903321 ...  0.03882834 -0.01402953
     0.01680521]
   [-0.00666...
[ 2018-10-17 17:08:04,184 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,184 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,184 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,184 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,184 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,187 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.03238899 0.02489093 0.02518862 0.02345413 0.02584101 0.02481844
 0.0163673  0.02459316 0.02494...
[ 2018-10-17 17:08:04,187 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,187 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,187 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,187 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,190 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.03238899 0.02489093 0.02518862 0.02345413 0.02584101 0.02481844
 0.0163673  0.02459316 0.02494...
[ 2018-10-17 17:08:04,190 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,193 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.03238899 0.02489093 0.02518862 0.02345413 0.02584101 0.02481844
 0.0163673  0.02459316 0.02494...
[ 2018-10-17 17:08:04,193 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,193 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,193 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,193 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,193 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,196 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [ 2.07876042e-02  4.93068025e-02 -3.97116691e-02  2.96810530e-02
  6.99523464e-02 -2.79375929e-02...
[ 2018-10-17 17:08:04,196 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,196 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,196 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,196 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,199 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [ 2.07876042e-02  4.93068025e-02 -3.97116691e-02  2.96810530e-02
  6.99523464e-02 -2.79375929e-02...
[ 2018-10-17 17:08:04,199 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,202 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [ 2.07876042e-02  4.93068025e-02 -3.97116691e-02  2.96810530e-02
  6.99523464e-02 -2.79375929e-02...
[ 2018-10-17 17:08:04,202 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,202 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,202 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,202 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,203 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,205 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.22416933 -0.16202544 -0.2338481  -0.1400785  -0.15347676 -0.13462678
 -0.1895383  -0.14656821...
[ 2018-10-17 17:08:04,205 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,206 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,206 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,206 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,209 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.22416933 -0.16202544 -0.2338481  -0.1400785  -0.15347676 -0.13462678
 -0.1895383  -0.14656821...
[ 2018-10-17 17:08:04,209 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,212 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.22416933 -0.16202544 -0.2338481  -0.1400785  -0.15347676 -0.13462678
 -0.1895383  -0.14656821...
[ 2018-10-17 17:08:04,212 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,212 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:04,212 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,212 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,212 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,213 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.01208204 -0.00359574 -0.00588685 ... -0.00320898 -0.00519619
     0.00396423]
   [ 0.01342...
[ 2018-10-17 17:08:04,213 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,213 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:04,214 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,214 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,215 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  256], value = [[[[-0.01208204 -0.00359574 -0.00588685 ... -0.00320898 -0.00519619
     0.00396423]
   [ 0.01342...
[ 2018-10-17 17:08:04,215 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,215 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.01208204 -0.00359574 -0.00588685 ... -0.00320898 -0.00519619
     0.00396423]
   [ 0.01342...
[ 2018-10-17 17:08:04,216 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,216 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,216 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,216 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,216 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,219 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.24140078 0.17680027 0.24394228 0.22432138 0.30673146 0.21932563
 0.27110302 0.24577783 0.15753...
[ 2018-10-17 17:08:04,219 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,219 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,219 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,219 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,222 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.24140078 0.17680027 0.24394228 0.22432138 0.30673146 0.21932563
 0.27110302 0.24577783 0.15753...
[ 2018-10-17 17:08:04,222 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,225 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.24140078 0.17680027 0.24394228 0.22432138 0.30673146 0.21932563
 0.27110302 0.24577783 0.15753...
[ 2018-10-17 17:08:04,225 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,225 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,225 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,225 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,225 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,228 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.6483234  -0.76604587 -0.5924977  -0.60774255 -0.9497231  -0.74807525
 -0.7793994  -0.8469123 ...
[ 2018-10-17 17:08:04,228 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,228 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,228 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,228 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,231 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.6483234  -0.76604587 -0.5924977  -0.60774255 -0.9497231  -0.74807525
 -0.7793994  -0.8469123 ...
[ 2018-10-17 17:08:04,231 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,234 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.6483234  -0.76604587 -0.5924977  -0.60774255 -0.9497231  -0.74807525
 -0.7793994  -0.8469123 ...
[ 2018-10-17 17:08:04,234 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,234 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,235 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,235 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,235 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,237 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.4845695  -0.7337079  -0.4763493  -0.502294   -0.51418877 -0.55785084
 -0.4771053  -0.42712313...
[ 2018-10-17 17:08:04,238 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,238 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,238 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,238 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,241 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.4845695  -0.7337079  -0.4763493  -0.502294   -0.51418877 -0.55785084
 -0.4771053  -0.42712313...
[ 2018-10-17 17:08:04,241 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,244 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.4845695  -0.7337079  -0.4763493  -0.502294   -0.51418877 -0.55785084
 -0.4771053  -0.42712313...
[ 2018-10-17 17:08:04,244 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,244 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:04,244 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,244 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,244 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,245 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.01901447  0.00294889 -0.0364994  ... -0.02535847 -0.01083574
     0.01631047]
   [-0.01509...
[ 2018-10-17 17:08:04,245 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,245 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:04,246 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,246 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,246 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  256], value = [[[[-0.01901447  0.00294889 -0.0364994  ... -0.02535847 -0.01083574
     0.01631047]
   [-0.01509...
[ 2018-10-17 17:08:04,247 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,247 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.01901447  0.00294889 -0.0364994  ... -0.02535847 -0.01083574
     0.01631047]
   [-0.01509...
[ 2018-10-17 17:08:04,248 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,248 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,248 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,248 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,248 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,251 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [2.8552177  0.16084392 0.6267853  0.91613686 0.49389458 0.39205307
 0.33522564 0.546669   0.50810...
[ 2018-10-17 17:08:04,251 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,251 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,251 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,252 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,254 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [2.8552177  0.16084392 0.6267853  0.91613686 0.49389458 0.39205307
 0.33522564 0.546669   0.50810...
[ 2018-10-17 17:08:04,255 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,257 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [2.8552177  0.16084392 0.6267853  0.91613686 0.49389458 0.39205307
 0.33522564 0.546669   0.50810...
[ 2018-10-17 17:08:04,257 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,257 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,258 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,258 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,258 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,261 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.90521514 -0.04922899 -0.93849576 -0.84196365 -0.7784026  -0.69877094
 -0.4580446  -0.50861585...
[ 2018-10-17 17:08:04,261 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,261 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,261 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,261 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,264 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.90521514 -0.04922899 -0.93849576 -0.84196365 -0.7784026  -0.69877094
 -0.4580446  -0.50861585...
[ 2018-10-17 17:08:04,264 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,267 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.90521514 -0.04922899 -0.93849576 -0.84196365 -0.7784026  -0.69877094
 -0.4580446  -0.50861585...
[ 2018-10-17 17:08:04,267 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,267 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/beta
[ 2018-10-17 17:08:04,267 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,267 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,267 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,270 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.10177559 -1.3313867  -0.8722212  -0.6585279  -0.82259953 -0.852047
 -0.9781286  -0.5922839  -...
[ 2018-10-17 17:08:04,270 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,270 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,270 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,270 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,273 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.10177559 -1.3313867  -0.8722212  -0.6585279  -0.82259953 -0.852047
 -0.9781286  -0.5922839  -...
[ 2018-10-17 17:08:04,273 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,275 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.10177559 -1.3313867  -0.8722212  -0.6585279  -0.82259953 -0.852047
 -0.9781286  -0.5922839  -...
[ 2018-10-17 17:08:04,276 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,276 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/weights
[ 2018-10-17 17:08:04,276 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,276 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,276 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,278 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 512 256], value = [[[[-0.0043298   0.01560501 -0.02275182 ... -0.01309199  0.03767671
    -0.01016976]
   [-0.02140...
[ 2018-10-17 17:08:04,278 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,278 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/weights/read
[ 2018-10-17 17:08:04,278 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,278 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,280 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 512 256], value = [[[[-0.0043298   0.01560501 -0.02275182 ... -0.01309199  0.03767671
    -0.01016976]
   [-0.02140...
[ 2018-10-17 17:08:04,280 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,281 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 512 256], value = [[[[-0.0043298   0.01560501 -0.02275182 ... -0.01309199  0.03767671
    -0.01016976]
   [-0.02140...
[ 2018-10-17 17:08:04,282 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,282 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,282 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,282 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,282 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,285 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [9.15552199e-01 1.24887133e+00 8.75362337e-01 6.42276704e-01
 1.30063975e+00 8.64127457e-01 9.976...
[ 2018-10-17 17:08:04,285 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,285 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,285 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,285 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,288 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [9.15552199e-01 1.24887133e+00 8.75362337e-01 6.42276704e-01
 1.30063975e+00 8.64127457e-01 9.976...
[ 2018-10-17 17:08:04,288 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,291 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [9.15552199e-01 1.24887133e+00 8.75362337e-01 6.42276704e-01
 1.30063975e+00 8.64127457e-01 9.976...
[ 2018-10-17 17:08:04,291 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,291 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,291 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,292 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,292 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,294 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-6.94550157e-01 -1.08322084e+00 -1.05295944e+00 -4.98556852e-01
 -1.02784133e+00 -7.76589394e-01...
[ 2018-10-17 17:08:04,294 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,294 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,295 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,295 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,297 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-6.94550157e-01 -1.08322084e+00 -1.05295944e+00 -4.98556852e-01
 -1.02784133e+00 -7.76589394e-01...
[ 2018-10-17 17:08:04,297 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,300 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-6.94550157e-01 -1.08322084e+00 -1.05295944e+00 -4.98556852e-01
 -1.02784133e+00 -7.76589394e-01...
[ 2018-10-17 17:08:04,300 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,300 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/beta
[ 2018-10-17 17:08:04,300 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,300 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,300 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,303 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.6229504  -0.39970604 -0.531314   -0.65978134 -0.5113057  -0.57991344
 -0.5188531  -0.63202095...
[ 2018-10-17 17:08:04,303 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,303 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:04,303 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,304 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,306 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.6229504  -0.39970604 -0.531314   -0.65978134 -0.5113057  -0.57991344
 -0.5188531  -0.63202095...
[ 2018-10-17 17:08:04,307 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,309 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.6229504  -0.39970604 -0.531314   -0.65978134 -0.5113057  -0.57991344
 -0.5188531  -0.63202095...
[ 2018-10-17 17:08:04,310 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,310 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/weights
[ 2018-10-17 17:08:04,310 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,310 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,310 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,311 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 512 256], value = [[[[-2.33203988e-03 -8.48736055e-03 -2.05005948e-02 ... -1.19117619e-02
    -1.11228246e-02 -1.35...
[ 2018-10-17 17:08:04,312 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,312 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/weights/read
[ 2018-10-17 17:08:04,312 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,312 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,313 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 512 256], value = [[[[-2.33203988e-03 -8.48736055e-03 -2.05005948e-02 ... -1.19117619e-02
    -1.11228246e-02 -1.35...
[ 2018-10-17 17:08:04,314 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,315 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 512 256], value = [[[[-2.33203988e-03 -8.48736055e-03 -2.05005948e-02 ... -1.19117619e-02
    -1.11228246e-02 -1.35...
[ 2018-10-17 17:08:04,315 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,315 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,315 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,316 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,316 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,321 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [0.10884137 0.10870634 0.08717357 0.09966792 0.08885535 0.12634996
 0.19419132 0.15281615 0.07477...
[ 2018-10-17 17:08:04,321 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,321 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,321 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,322 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,326 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [0.10884137 0.10870634 0.08717357 0.09966792 0.08885535 0.12634996
 0.19419132 0.15281615 0.07477...
[ 2018-10-17 17:08:04,327 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,331 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [0.10884137 0.10870634 0.08717357 0.09966792 0.08885535 0.12634996
 0.19419132 0.15281615 0.07477...
[ 2018-10-17 17:08:04,331 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,331 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,332 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,332 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,332 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,337 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-3.27078968e-01 -4.40488189e-01 -2.46913344e-01 -4.21960026e-01
 -2.41126865e-01 -2.40465000e-01...
[ 2018-10-17 17:08:04,337 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,337 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,337 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,337 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,342 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [-3.27078968e-01 -4.40488189e-01 -2.46913344e-01 -4.21960026e-01
 -2.41126865e-01 -2.40465000e-01...
[ 2018-10-17 17:08:04,342 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,347 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-3.27078968e-01 -4.40488189e-01 -2.46913344e-01 -4.21960026e-01
 -2.41126865e-01 -2.40465000e-01...
[ 2018-10-17 17:08:04,347 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,347 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/beta
[ 2018-10-17 17:08:04,347 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,347 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,347 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,352 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-1.71452388e-01 -4.51206625e-01 -7.41347373e-01 -6.22129321e-01
 -6.84882030e-02 -2.11680070e-01...
[ 2018-10-17 17:08:04,352 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,352 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:04,353 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,353 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,358 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [-1.71452388e-01 -4.51206625e-01 -7.41347373e-01 -6.22129321e-01
 -6.84882030e-02 -2.11680070e-01...
[ 2018-10-17 17:08:04,358 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,363 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-1.71452388e-01 -4.51206625e-01 -7.41347373e-01 -6.22129321e-01
 -6.84882030e-02 -2.11680070e-01...
[ 2018-10-17 17:08:04,363 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,363 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/weights
[ 2018-10-17 17:08:04,363 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,363 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,364 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,365 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 448 512], value = [[[[-0.01724984 -0.00353622  0.00368262 ... -0.00685957 -0.00200692
     0.00358794]
   [ 0.02994...
[ 2018-10-17 17:08:04,366 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,366 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/weights/read
[ 2018-10-17 17:08:04,366 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,366 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,367 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 448 512], value = [[[[-0.01724984 -0.00353622  0.00368262 ... -0.00685957 -0.00200692
     0.00358794]
   [ 0.02994...
[ 2018-10-17 17:08:04,367 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,369 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 448 512], value = [[[[-0.01724984 -0.00353622  0.00368262 ... -0.00685957 -0.00200692
     0.00358794]
   [ 0.02994...
[ 2018-10-17 17:08:04,369 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,369 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,369 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,369 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,369 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,374 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [0.07489449 0.0364106  0.06043907 0.04587927 0.0450789  0.02369733
 0.02397925 0.04189726 0.04444...
[ 2018-10-17 17:08:04,374 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,374 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,374 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,374 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,378 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [0.07489449 0.0364106  0.06043907 0.04587927 0.0450789  0.02369733
 0.02397925 0.04189726 0.04444...
[ 2018-10-17 17:08:04,378 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,383 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [0.07489449 0.0364106  0.06043907 0.04587927 0.0450789  0.02369733
 0.02397925 0.04189726 0.04444...
[ 2018-10-17 17:08:04,383 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,383 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,383 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,383 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,383 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,387 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [ 2.81672925e-02 -8.09103623e-02 -1.01587288e-01 -1.29857823e-01
 -1.58707932e-01 -1.61226258e-01...
[ 2018-10-17 17:08:04,388 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,388 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,388 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,388 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,402 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [ 2.81672925e-02 -8.09103623e-02 -1.01587288e-01 -1.29857823e-01
 -1.58707932e-01 -1.61226258e-01...
[ 2018-10-17 17:08:04,404 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,408 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [ 2.81672925e-02 -8.09103623e-02 -1.01587288e-01 -1.29857823e-01
 -1.58707932e-01 -1.61226258e-01...
[ 2018-10-17 17:08:04,424 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,424 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/beta
[ 2018-10-17 17:08:04,424 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,424 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,424 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,429 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [ 0.06900749 -0.5309066  -0.14138775 -0.48252618 -0.33316445 -0.57383853
 -0.953265   -0.31861246...
[ 2018-10-17 17:08:04,440 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,441 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,441 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,441 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,445 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [ 0.06900749 -0.5309066  -0.14138775 -0.48252618 -0.33316445 -0.57383853
 -0.953265   -0.31861246...
[ 2018-10-17 17:08:04,453 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,458 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [ 0.06900749 -0.5309066  -0.14138775 -0.48252618 -0.33316445 -0.57383853
 -0.953265   -0.31861246...
[ 2018-10-17 17:08:04,469 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,469 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/weights
[ 2018-10-17 17:08:04,469 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,475 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,476 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,478 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 448], value = [[[[-0.0277449  -0.02373698  0.01522104 ...  0.03995393 -0.00496537
     0.00500571]
   [ 0.00402...
[ 2018-10-17 17:08:04,490 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,490 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/weights/read
[ 2018-10-17 17:08:04,490 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,490 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,492 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 384 448], value = [[[[-0.0277449  -0.02373698  0.01522104 ...  0.03995393 -0.00496537
     0.00500571]
   [ 0.00402...
[ 2018-10-17 17:08:04,492 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,493 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 448], value = [[[[-0.0277449  -0.02373698  0.01522104 ...  0.03995393 -0.00496537
     0.00500571]
   [ 0.00402...
[ 2018-10-17 17:08:04,493 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,493 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,494 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,494 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,494 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,497 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.177099   0.2922354  0.12817512 0.1372965  0.11985326 0.09371297
 0.11362964 0.77944124 0.18466...
[ 2018-10-17 17:08:04,498 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,498 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,498 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,498 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,502 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.177099   0.2922354  0.12817512 0.1372965  0.11985326 0.09371297
 0.11362964 0.77944124 0.18466...
[ 2018-10-17 17:08:04,513 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,529 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.177099   0.2922354  0.12817512 0.1372965  0.11985326 0.09371297
 0.11362964 0.77944124 0.18466...
[ 2018-10-17 17:08:04,529 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,529 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,529 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,530 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,530 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,533 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.6214013  -0.728307   -0.6712811  -0.49108067 -0.48287463 -0.5081376
 -0.453238   -0.46860325 ...
[ 2018-10-17 17:08:04,539 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,539 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,539 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,551 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,555 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.6214013  -0.728307   -0.6712811  -0.49108067 -0.48287463 -0.5081376
 -0.453238   -0.46860325 ...
[ 2018-10-17 17:08:04,561 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,565 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.6214013  -0.728307   -0.6712811  -0.49108067 -0.48287463 -0.5081376
 -0.453238   -0.46860325 ...
[ 2018-10-17 17:08:04,571 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,572 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,572 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,586 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,586 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,590 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.76692456 -0.59078276 -1.1599889  -0.90909195 -1.1465093  -1.0442735
 -0.933296   -0.25407782 ...
[ 2018-10-17 17:08:04,593 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,594 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,594 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,594 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,602 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.76692456 -0.59078276 -1.1599889  -0.90909195 -1.1465093  -1.0442735
 -0.933296   -0.25407782 ...
[ 2018-10-17 17:08:04,603 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,606 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.76692456 -0.59078276 -1.1599889  -0.90909195 -1.1465093  -1.0442735
 -0.933296   -0.25407782 ...
[ 2018-10-17 17:08:04,610 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,610 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:04,611 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,611 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,611 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,612 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[-0.03766451 -0.02165084  0.01452251 ... -0.00758728 -0.03304804
     0.00978268]
   [ 0.04517...
[ 2018-10-17 17:08:04,612 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,612 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:04,612 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,612 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,614 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  384], value = [[[[-0.03766451 -0.02165084  0.01452251 ... -0.00758728 -0.03304804
     0.00978268]
   [ 0.04517...
[ 2018-10-17 17:08:04,618 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,619 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[-0.03766451 -0.02165084  0.01452251 ... -0.00758728 -0.03304804
     0.00978268]
   [ 0.04517...
[ 2018-10-17 17:08:04,633 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,633 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,633 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,633 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,636 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,638 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.09552272 0.11839906 0.1438469  0.08381054 0.11837944 0.07438774
 0.09587972 0.13124232 0.12829...
[ 2018-10-17 17:08:04,642 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,642 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,642 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,643 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,645 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.09552272 0.11839906 0.1438469  0.08381054 0.11837944 0.07438774
 0.09587972 0.13124232 0.12829...
[ 2018-10-17 17:08:04,649 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,652 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.09552272 0.11839906 0.1438469  0.08381054 0.11837944 0.07438774
 0.09587972 0.13124232 0.12829...
[ 2018-10-17 17:08:04,653 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,653 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,653 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,653 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,655 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,658 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.33554217 -0.50197864 -0.4474669  -0.3886148  -0.49119827 -0.43795693
 -0.35288787 -0.49462712...
[ 2018-10-17 17:08:04,661 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,661 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,661 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,661 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,682 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.33554217 -0.50197864 -0.4474669  -0.3886148  -0.49119827 -0.43795693
 -0.35288787 -0.49462712...
[ 2018-10-17 17:08:04,682 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,685 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.33554217 -0.50197864 -0.4474669  -0.3886148  -0.49119827 -0.43795693
 -0.35288787 -0.49462712...
[ 2018-10-17 17:08:04,685 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,687 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/beta
[ 2018-10-17 17:08:04,687 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,688 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,688 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,690 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.1309779  -1.048518   -0.9281837  -1.1560886  -1.0809125  -1.3486801
 -1.1603192  -0.88504887 ...
[ 2018-10-17 17:08:04,694 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,694 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,694 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,694 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,697 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.1309779  -1.048518   -0.9281837  -1.1560886  -1.0809125  -1.3486801
 -1.1603192  -0.88504887 ...
[ 2018-10-17 17:08:04,706 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,709 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.1309779  -1.048518   -0.9281837  -1.1560886  -1.0809125  -1.3486801
 -1.1603192  -0.88504887 ...
[ 2018-10-17 17:08:04,710 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,710 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/weights
[ 2018-10-17 17:08:04,710 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,710 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,710 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,711 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 256], value = [[[[-1.36816353e-02 -2.21598353e-02 -2.04011775e-03 ...  1.05562713e-02
     1.06204888e-02 -2.98...
[ 2018-10-17 17:08:04,712 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,712 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/weights/read
[ 2018-10-17 17:08:04,712 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,712 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,713 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 384 256], value = [[[[-1.36816353e-02 -2.21598353e-02 -2.04011775e-03 ...  1.05562713e-02
     1.06204888e-02 -2.98...
[ 2018-10-17 17:08:04,721 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,722 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 256], value = [[[[-1.36816353e-02 -2.21598353e-02 -2.04011775e-03 ...  1.05562713e-02
     1.06204888e-02 -2.98...
[ 2018-10-17 17:08:04,723 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,723 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,723 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,723 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,723 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,726 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.11027678 0.13375619 0.14049092 0.10639539 0.07499601 0.07820928
 0.13192828 0.12322044 0.11000...
[ 2018-10-17 17:08:04,726 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,726 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,726 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,726 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,729 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.11027678 0.13375619 0.14049092 0.10639539 0.07499601 0.07820928
 0.13192828 0.12322044 0.11000...
[ 2018-10-17 17:08:04,735 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,739 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.11027678 0.13375619 0.14049092 0.10639539 0.07499601 0.07820928
 0.13192828 0.12322044 0.11000...
[ 2018-10-17 17:08:04,739 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,739 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,739 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,739 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,739 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,752 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.48903358 -0.5355299  -0.5774431  -0.50688416 -0.48374593 -0.35805824
 -0.6323919  -0.5501356 ...
[ 2018-10-17 17:08:04,752 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,752 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,752 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,752 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,755 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.48903358 -0.5355299  -0.5774431  -0.50688416 -0.48374593 -0.35805824
 -0.6323919  -0.5501356 ...
[ 2018-10-17 17:08:04,755 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,759 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.48903358 -0.5355299  -0.5774431  -0.50688416 -0.48374593 -0.35805824
 -0.6323919  -0.5501356 ...
[ 2018-10-17 17:08:04,759 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,759 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/beta
[ 2018-10-17 17:08:04,759 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,759 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,760 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,762 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.1889893  -1.003628   -1.0936838  -1.1278186  -1.2658876  -1.3942446
 -1.0256842  -1.0218872  ...
[ 2018-10-17 17:08:04,766 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,766 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:04,766 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,767 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,769 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.1889893  -1.003628   -1.0936838  -1.1278186  -1.2658876  -1.3942446
 -1.0256842  -1.0218872  ...
[ 2018-10-17 17:08:04,773 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,776 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.1889893  -1.003628   -1.0936838  -1.1278186  -1.2658876  -1.3942446
 -1.0256842  -1.0218872  ...
[ 2018-10-17 17:08:04,776 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,776 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/weights
[ 2018-10-17 17:08:04,776 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,776 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,777 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,778 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 384 256], value = [[[[ 1.10592684e-02  1.02287531e-02  1.39813237e-02 ... -1.05684716e-02
    -7.88368471e-03 -9.78...
[ 2018-10-17 17:08:04,778 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,779 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/weights/read
[ 2018-10-17 17:08:04,779 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,779 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,780 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 384 256], value = [[[[ 1.10592684e-02  1.02287531e-02  1.39813237e-02 ... -1.05684716e-02
    -7.88368471e-03 -9.78...
[ 2018-10-17 17:08:04,780 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,782 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 384 256], value = [[[[ 1.10592684e-02  1.02287531e-02  1.39813237e-02 ... -1.05684716e-02
    -7.88368471e-03 -9.78...
[ 2018-10-17 17:08:04,782 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,782 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,783 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,783 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,783 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,786 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.15544961 0.16081223 0.16703877 0.12448071 0.21433048 0.12863596
 0.11340557 0.18295974 0.15763...
[ 2018-10-17 17:08:04,787 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,787 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,787 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,787 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,791 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.15544961 0.16081223 0.16703877 0.12448071 0.21433048 0.12863596
 0.11340557 0.18295974 0.15763...
[ 2018-10-17 17:08:04,793 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,797 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.15544961 0.16081223 0.16703877 0.12448071 0.21433048 0.12863596
 0.11340557 0.18295974 0.15763...
[ 2018-10-17 17:08:04,797 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,797 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,798 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,798 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,798 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,804 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.5554926  -0.46063918 -0.37230682 -0.33491424 -0.45936063 -0.43324643
 -0.40956897 -0.4171348 ...
[ 2018-10-17 17:08:04,804 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,804 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,804 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,805 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,810 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.5554926  -0.46063918 -0.37230682 -0.33491424 -0.45936063 -0.43324643
 -0.40956897 -0.4171348 ...
[ 2018-10-17 17:08:04,810 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,814 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.5554926  -0.46063918 -0.37230682 -0.33491424 -0.45936063 -0.43324643
 -0.40956897 -0.4171348 ...
[ 2018-10-17 17:08:04,814 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,814 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,814 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,814 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,815 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,824 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.7219342  -0.630668   -0.53758717 -0.5883135  -0.69522685 -0.7510499
 -0.87755555 -0.62508416 ...
[ 2018-10-17 17:08:04,824 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,824 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,825 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,825 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,829 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.7219342  -0.630668   -0.53758717 -0.5883135  -0.69522685 -0.7510499
 -0.87755555 -0.62508416 ...
[ 2018-10-17 17:08:04,829 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,834 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.7219342  -0.630668   -0.53758717 -0.5883135  -0.69522685 -0.7510499
 -0.87755555 -0.62508416 ...
[ 2018-10-17 17:08:04,834 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,834 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:04,834 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,835 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,835 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,835 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.03506783 -0.02648014  0.00054801 ...  0.00189128 -0.0015596
     0.03504766]
   [ 0.014253...
[ 2018-10-17 17:08:04,836 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,837 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:04,837 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,837 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,838 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  384], value = [[[[ 0.03506783 -0.02648014  0.00054801 ...  0.00189128 -0.0015596
     0.03504766]
   [ 0.014253...
[ 2018-10-17 17:08:04,838 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,839 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.03506783 -0.02648014  0.00054801 ...  0.00189128 -0.0015596
     0.03504766]
   [ 0.014253...
[ 2018-10-17 17:08:04,839 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,839 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,839 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,839 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,839 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,842 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.17947038 0.19515082 0.1721528  0.17976454 0.22842485 0.31699613
 0.355191   0.23653518 0.17125...
[ 2018-10-17 17:08:04,842 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,842 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,842 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,842 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,845 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.17947038 0.19515082 0.1721528  0.17976454 0.22842485 0.31699613
 0.355191   0.23653518 0.17125...
[ 2018-10-17 17:08:04,845 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,852 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.17947038 0.19515082 0.1721528  0.17976454 0.22842485 0.31699613
 0.355191   0.23653518 0.17125...
[ 2018-10-17 17:08:04,852 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,852 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,852 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,852 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,852 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,857 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.46238178 -0.5105996  -0.6534409  -0.5107123  -0.67013276 -0.78992176
 -0.39408994 -0.6615679 ...
[ 2018-10-17 17:08:04,858 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,858 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,858 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,858 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,861 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.46238178 -0.5105996  -0.6534409  -0.5107123  -0.67013276 -0.78992176
 -0.39408994 -0.6615679 ...
[ 2018-10-17 17:08:04,861 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,864 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.46238178 -0.5105996  -0.6534409  -0.5107123  -0.67013276 -0.78992176
 -0.39408994 -0.6615679 ...
[ 2018-10-17 17:08:04,864 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,864 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,864 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,865 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,865 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,867 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.74584186 -0.79772353 -0.6872287  -0.81553626 -0.7035165  -0.6260223
 -0.35579658 -0.5762954  ...
[ 2018-10-17 17:08:04,867 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,868 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,868 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,868 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,870 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.74584186 -0.79772353 -0.6872287  -0.81553626 -0.7035165  -0.6260223
 -0.35579658 -0.5762954  ...
[ 2018-10-17 17:08:04,871 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,873 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.74584186 -0.79772353 -0.6872287  -0.81553626 -0.7035165  -0.6260223
 -0.35579658 -0.5762954  ...
[ 2018-10-17 17:08:04,874 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,874 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:04,874 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,874 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,874 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,875 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[ 0.00410844 -0.00375098  0.01750448 ... -0.02337129 -0.01220165
    -0.01471435]
   [-0.00657...
[ 2018-10-17 17:08:04,875 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,875 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:04,875 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,876 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,876 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  256], value = [[[[ 0.00410844 -0.00375098  0.01750448 ... -0.02337129 -0.01220165
    -0.01471435]
   [-0.00657...
[ 2018-10-17 17:08:04,878 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,878 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[ 0.00410844 -0.00375098  0.01750448 ... -0.02337129 -0.01220165
    -0.01471435]
   [-0.00657...
[ 2018-10-17 17:08:04,879 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,879 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,879 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,879 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,879 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,885 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.42019576 0.3745831  0.32771796 0.39694285 0.4238882  0.2555164
 0.39004225 0.5241786  0.570754...
[ 2018-10-17 17:08:04,885 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,885 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,885 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,886 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,888 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.42019576 0.3745831  0.32771796 0.39694285 0.4238882  0.2555164
 0.39004225 0.5241786  0.570754...
[ 2018-10-17 17:08:04,888 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,891 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.42019576 0.3745831  0.32771796 0.39694285 0.4238882  0.2555164
 0.39004225 0.5241786  0.570754...
[ 2018-10-17 17:08:04,891 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,891 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,891 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,891 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,891 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,895 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.1348572  -0.5292951  -0.32358962 -0.5302194  -0.38924643 -0.32735196
 -0.10431354 -0.03518112...
[ 2018-10-17 17:08:04,895 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,896 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,896 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,896 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,898 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.1348572  -0.5292951  -0.32358962 -0.5302194  -0.38924643 -0.32735196
 -0.10431354 -0.03518112...
[ 2018-10-17 17:08:04,898 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,901 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.1348572  -0.5292951  -0.32358962 -0.5302194  -0.38924643 -0.32735196
 -0.10431354 -0.03518112...
[ 2018-10-17 17:08:04,901 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,901 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:04,901 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,902 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,902 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,906 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.21392815 -0.38990498 -0.30298248 -0.30721447 -0.20533642 -0.401173
 -0.11655731 -0.134184   -...
[ 2018-10-17 17:08:04,906 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,906 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,906 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,906 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,909 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.21392815 -0.38990498 -0.30298248 -0.30721447 -0.20533642 -0.401173
 -0.11655731 -0.134184   -...
[ 2018-10-17 17:08:04,909 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,911 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.21392815 -0.38990498 -0.30298248 -0.30721447 -0.20533642 -0.401173
 -0.11655731 -0.134184   -...
[ 2018-10-17 17:08:04,912 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,912 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:04,912 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,912 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,912 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,913 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.018963   -0.01494924  0.02750422 ... -0.0163321   0.01724398
    -0.01697449]
   [ 0.02747...
[ 2018-10-17 17:08:04,913 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,913 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:04,913 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,913 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,914 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  256], value = [[[[-0.018963   -0.01494924  0.02750422 ... -0.0163321   0.01724398
    -0.01697449]
   [ 0.02747...
[ 2018-10-17 17:08:04,914 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,915 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.018963   -0.01494924  0.02750422 ... -0.0163321   0.01724398
    -0.01697449]
   [ 0.02747...
[ 2018-10-17 17:08:04,915 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,915 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,915 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,915 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,915 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,920 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.37531602 0.27260152 0.2980423  0.31398678 0.3143498  0.26489043
 0.35199094 0.39745826 0.34887...
[ 2018-10-17 17:08:04,921 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,921 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,921 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,921 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,923 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.37531602 0.27260152 0.2980423  0.31398678 0.3143498  0.26489043
 0.35199094 0.39745826 0.34887...
[ 2018-10-17 17:08:04,924 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,926 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.37531602 0.27260152 0.2980423  0.31398678 0.3143498  0.26489043
 0.35199094 0.39745826 0.34887...
[ 2018-10-17 17:08:04,926 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,926 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,926 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,927 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,927 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,929 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.28272808 -0.6773306  -0.7234362  -0.44319573 -0.53475857 -0.4123398
 -0.2706308  -0.7447871  ...
[ 2018-10-17 17:08:04,929 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,929 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,930 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,930 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,932 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.28272808 -0.6773306  -0.7234362  -0.44319573 -0.53475857 -0.4123398
 -0.2706308  -0.7447871  ...
[ 2018-10-17 17:08:04,932 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,935 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.28272808 -0.6773306  -0.7234362  -0.44319573 -0.53475857 -0.4123398
 -0.2706308  -0.7447871  ...
[ 2018-10-17 17:08:04,935 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,935 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/beta
[ 2018-10-17 17:08:04,935 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,936 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,936 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,938 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.99333537 -1.0517861  -1.1531556  -1.0148821  -1.1497964  -0.88280684
 -0.9784598  -0.8758733 ...
[ 2018-10-17 17:08:04,938 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,939 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:04,939 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,939 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,942 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.99333537 -1.0517861  -1.1531556  -1.0148821  -1.1497964  -0.88280684
 -0.9784598  -0.8758733 ...
[ 2018-10-17 17:08:04,942 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,945 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.99333537 -1.0517861  -1.1531556  -1.0148821  -1.1497964  -0.88280684
 -0.9784598  -0.8758733 ...
[ 2018-10-17 17:08:04,945 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,945 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/weights
[ 2018-10-17 17:08:04,945 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,945 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,945 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,947 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 512 256], value = [[[[ 0.01262461  0.00738073 -0.00080548 ... -0.01389156 -0.00242363
    -0.01244496]
   [-0.01522...
[ 2018-10-17 17:08:04,947 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,947 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/weights/read
[ 2018-10-17 17:08:04,947 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,947 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,949 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 512 256], value = [[[[ 0.01262461  0.00738073 -0.00080548 ... -0.01389156 -0.00242363
    -0.01244496]
   [-0.01522...
[ 2018-10-17 17:08:04,949 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,950 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 512 256], value = [[[[ 0.01262461  0.00738073 -0.00080548 ... -0.01389156 -0.00242363
    -0.01244496]
   [-0.01522...
[ 2018-10-17 17:08:04,951 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,951 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,951 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,951 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,951 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,953 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.16633296 0.23386468 0.1840466  0.23513438 0.25784498 0.42099988
 0.21302892 0.26776204 0.24692...
[ 2018-10-17 17:08:04,954 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,954 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,954 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,954 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,956 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.16633296 0.23386468 0.1840466  0.23513438 0.25784498 0.42099988
 0.21302892 0.26776204 0.24692...
[ 2018-10-17 17:08:04,956 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,960 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.16633296 0.23386468 0.1840466  0.23513438 0.25784498 0.42099988
 0.21302892 0.26776204 0.24692...
[ 2018-10-17 17:08:04,961 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,961 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:04,961 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,961 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,961 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,963 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.38916385 -0.47918096 -0.45999688 -0.58110344 -0.5144229  -0.3435873
 -0.61347157 -0.48683673 ...
[ 2018-10-17 17:08:04,964 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,964 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:04,964 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,964 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,966 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.38916385 -0.47918096 -0.45999688 -0.58110344 -0.5144229  -0.3435873
 -0.61347157 -0.48683673 ...
[ 2018-10-17 17:08:04,967 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,969 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.38916385 -0.47918096 -0.45999688 -0.58110344 -0.5144229  -0.3435873
 -0.61347157 -0.48683673 ...
[ 2018-10-17 17:08:04,969 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,969 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/beta
[ 2018-10-17 17:08:04,969 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,969 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,969 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,972 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.3616585  -1.2405156  -1.1310031  -1.0678638  -0.8695037  -0.92698956
 -1.3992342  -1.1131537 ...
[ 2018-10-17 17:08:04,972 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,972 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:04,972 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,973 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,975 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.3616585  -1.2405156  -1.1310031  -1.0678638  -0.8695037  -0.92698956
 -1.3992342  -1.1131537 ...
[ 2018-10-17 17:08:04,975 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,978 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.3616585  -1.2405156  -1.1310031  -1.0678638  -0.8695037  -0.92698956
 -1.3992342  -1.1131537 ...
[ 2018-10-17 17:08:04,978 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,978 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/weights
[ 2018-10-17 17:08:04,978 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,979 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,979 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,980 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 512 256], value = [[[[ 6.93457853e-03 -2.48428583e-02 -3.37159098e-03 ...  6.80177379e-03
    -5.68386447e-03 -1.26...
[ 2018-10-17 17:08:04,980 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,981 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/weights/read
[ 2018-10-17 17:08:04,981 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,981 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,982 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 512 256], value = [[[[ 6.93457853e-03 -2.48428583e-02 -3.37159098e-03 ...  6.80177379e-03
    -5.68386447e-03 -1.26...
[ 2018-10-17 17:08:04,982 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,984 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 512 256], value = [[[[ 6.93457853e-03 -2.48428583e-02 -3.37159098e-03 ...  6.80177379e-03
    -5.68386447e-03 -1.26...
[ 2018-10-17 17:08:04,984 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,984 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:04,984 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:04,985 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,985 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:04,990 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [0.12107147 0.12791659 0.0913595  0.14391439 0.15550944 0.18733214
 0.12798378 0.23542978 0.10585...
[ 2018-10-17 17:08:04,990 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:04,990 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:04,990 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:04,990 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:04,995 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [0.12107147 0.12791659 0.0913595  0.14391439 0.15550944 0.18733214
 0.12798378 0.23542978 0.10585...
[ 2018-10-17 17:08:04,995 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,000 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [0.12107147 0.12791659 0.0913595  0.14391439 0.15550944 0.18733214
 0.12798378 0.23542978 0.10585...
[ 2018-10-17 17:08:05,000 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,000 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,000 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,001 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,001 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,006 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.39142364 -0.09757259 -0.18451945 -0.27210048 -0.257515   -0.39765978
 -0.19383816 -0.4957968 ...
[ 2018-10-17 17:08:05,006 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,006 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,006 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,007 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,012 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [-0.39142364 -0.09757259 -0.18451945 -0.27210048 -0.257515   -0.39765978
 -0.19383816 -0.4957968 ...
[ 2018-10-17 17:08:05,012 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,017 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.39142364 -0.09757259 -0.18451945 -0.27210048 -0.257515   -0.39765978
 -0.19383816 -0.4957968 ...
[ 2018-10-17 17:08:05,017 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,017 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/beta
[ 2018-10-17 17:08:05,017 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,017 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,017 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,023 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.6094026  -0.5824122  -0.904478   -0.32497078 -0.72265035 -0.44175556
 -0.59937847 -0.02397401...
[ 2018-10-17 17:08:05,023 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,023 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:05,023 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,024 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,028 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [512], value = [-0.6094026  -0.5824122  -0.904478   -0.32497078 -0.72265035 -0.44175556
 -0.59937847 -0.02397401...
[ 2018-10-17 17:08:05,029 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,033 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [512], value = [-0.6094026  -0.5824122  -0.904478   -0.32497078 -0.72265035 -0.44175556
 -0.59937847 -0.02397401...
[ 2018-10-17 17:08:05,034 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,034 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/weights
[ 2018-10-17 17:08:05,034 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,034 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,034 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,036 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 448 512], value = [[[[-0.01255449  0.01709452  0.002831   ...  0.00167222  0.00735806
     0.01866792]
   [ 0.01194...
[ 2018-10-17 17:08:05,036 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,036 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/weights/read
[ 2018-10-17 17:08:05,036 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,036 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,038 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 448 512], value = [[[[-0.01255449  0.01709452  0.002831   ...  0.00167222  0.00735806
     0.01866792]
   [ 0.01194...
[ 2018-10-17 17:08:05,038 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,039 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 448 512], value = [[[[-0.01255449  0.01709452  0.002831   ...  0.00167222  0.00735806
     0.01866792]
   [ 0.01194...
[ 2018-10-17 17:08:05,040 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,040 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,040 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,040 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,040 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,044 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [8.66576806e-02 7.89766163e-02 9.04506743e-02 7.48383701e-02
 6.86343983e-02 7.12401345e-02 9.818...
[ 2018-10-17 17:08:05,044 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,044 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,044 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,045 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,049 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [8.66576806e-02 7.89766163e-02 9.04506743e-02 7.48383701e-02
 6.86343983e-02 7.12401345e-02 9.818...
[ 2018-10-17 17:08:05,049 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,054 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [8.66576806e-02 7.89766163e-02 9.04506743e-02 7.48383701e-02
 6.86343983e-02 7.12401345e-02 9.818...
[ 2018-10-17 17:08:05,054 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,054 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,055 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,055 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,055 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,059 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-1.19344378e-02 -1.64210513e-01 -2.80113034e-02 -1.61539003e-01
 -1.01073936e-01 -2.11768046e-01...
[ 2018-10-17 17:08:05,060 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,060 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,060 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,060 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,065 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [-1.19344378e-02 -1.64210513e-01 -2.80113034e-02 -1.61539003e-01
 -1.01073936e-01 -2.11768046e-01...
[ 2018-10-17 17:08:05,065 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,069 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-1.19344378e-02 -1.64210513e-01 -2.80113034e-02 -1.61539003e-01
 -1.01073936e-01 -2.11768046e-01...
[ 2018-10-17 17:08:05,070 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,070 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/beta
[ 2018-10-17 17:08:05,070 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,070 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,070 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,074 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-0.6893904  -0.5486742  -0.6311651  -0.62071645 -0.6878779  -0.6505653
 -0.44120744 -0.6030752  ...
[ 2018-10-17 17:08:05,074 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,075 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,075 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,075 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,079 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [448], value = [-0.6893904  -0.5486742  -0.6311651  -0.62071645 -0.6878779  -0.6505653
 -0.44120744 -0.6030752  ...
[ 2018-10-17 17:08:05,079 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,084 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [448], value = [-0.6893904  -0.5486742  -0.6311651  -0.62071645 -0.6878779  -0.6505653
 -0.44120744 -0.6030752  ...
[ 2018-10-17 17:08:05,084 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,084 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/weights
[ 2018-10-17 17:08:05,084 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,084 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,084 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,086 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 448], value = [[[[ 0.01253476  0.00274308 -0.00071762 ... -0.0118639  -0.00634832
    -0.00812522]
   [ 0.00705...
[ 2018-10-17 17:08:05,086 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,086 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/weights/read
[ 2018-10-17 17:08:05,086 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,086 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,088 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 384 448], value = [[[[ 0.01253476  0.00274308 -0.00071762 ... -0.0118639  -0.00634832
    -0.00812522]
   [ 0.00705...
[ 2018-10-17 17:08:05,088 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,089 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 448], value = [[[[ 0.01253476  0.00274308 -0.00071762 ... -0.0118639  -0.00634832
    -0.00812522]
   [ 0.00705...
[ 2018-10-17 17:08:05,090 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,090 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,090 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,090 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,090 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,094 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [4.00774330e-01 1.75346836e-01 1.23903655e-01 1.59492388e-01
 2.55144715e-01 1.04853459e-01 2.135...
[ 2018-10-17 17:08:05,094 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,094 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,094 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,095 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,098 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [4.00774330e-01 1.75346836e-01 1.23903655e-01 1.59492388e-01
 2.55144715e-01 1.04853459e-01 2.135...
[ 2018-10-17 17:08:05,099 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,102 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [4.00774330e-01 1.75346836e-01 1.23903655e-01 1.59492388e-01
 2.55144715e-01 1.04853459e-01 2.135...
[ 2018-10-17 17:08:05,103 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,103 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,103 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,103 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,103 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,107 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-3.93693477e-01 -4.96077269e-01 -2.31433541e-01 -3.49327654e-01
 -7.15743363e-01 -2.95814145e-02...
[ 2018-10-17 17:08:05,107 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,107 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,107 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,107 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,111 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-3.93693477e-01 -4.96077269e-01 -2.31433541e-01 -3.49327654e-01
 -7.15743363e-01 -2.95814145e-02...
[ 2018-10-17 17:08:05,111 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,115 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-3.93693477e-01 -4.96077269e-01 -2.31433541e-01 -3.49327654e-01
 -7.15743363e-01 -2.95814145e-02...
[ 2018-10-17 17:08:05,115 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,115 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,115 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,115 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,115 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,119 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 0.00577097 -0.6287519  -0.9563988  -0.7406283  -0.39780334 -0.95966536
 -0.3693896  -0.69510573...
[ 2018-10-17 17:08:05,119 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,119 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,119 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,119 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,123 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [ 0.00577097 -0.6287519  -0.9563988  -0.7406283  -0.39780334 -0.95966536
 -0.3693896  -0.69510573...
[ 2018-10-17 17:08:05,123 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,127 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 0.00577097 -0.6287519  -0.9563988  -0.7406283  -0.39780334 -0.95966536
 -0.3693896  -0.69510573...
[ 2018-10-17 17:08:05,127 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,127 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,127 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,127 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,127 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,128 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[-1.8869791e-02 -1.4344933e-02 -2.1337934e-03 ...  2.6662936e-02
    -1.9009842e-02  4.4348859...
[ 2018-10-17 17:08:05,128 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,128 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,129 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,129 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,130 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  384], value = [[[[-1.8869791e-02 -1.4344933e-02 -2.1337934e-03 ...  2.6662936e-02
    -1.9009842e-02  4.4348859...
[ 2018-10-17 17:08:05,130 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,130 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[-1.8869791e-02 -1.4344933e-02 -2.1337934e-03 ...  2.6662936e-02
    -1.9009842e-02  4.4348859...
[ 2018-10-17 17:08:05,131 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,131 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,131 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,131 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,131 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,134 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.11993154 0.12656425 0.11604875 0.11624298 0.0998244  0.12718682
 0.09088884 0.08966991 0.10077...
[ 2018-10-17 17:08:05,134 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,134 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,134 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,134 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,137 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.11993154 0.12656425 0.11604875 0.11624298 0.0998244  0.12718682
 0.09088884 0.08966991 0.10077...
[ 2018-10-17 17:08:05,137 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,140 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.11993154 0.12656425 0.11604875 0.11624298 0.0998244  0.12718682
 0.09088884 0.08966991 0.10077...
[ 2018-10-17 17:08:05,140 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,140 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,140 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,140 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,140 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,143 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.32915    -0.350342   -0.38093215 -0.38147306 -0.28586695 -0.4333715
 -0.31425476 -0.24408594 ...
[ 2018-10-17 17:08:05,143 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,143 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,144 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,144 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,147 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.32915    -0.350342   -0.38093215 -0.38147306 -0.28586695 -0.4333715
 -0.31425476 -0.24408594 ...
[ 2018-10-17 17:08:05,147 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,149 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.32915    -0.350342   -0.38093215 -0.38147306 -0.28586695 -0.4333715
 -0.31425476 -0.24408594 ...
[ 2018-10-17 17:08:05,149 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,150 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/beta
[ 2018-10-17 17:08:05,150 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,150 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,150 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,152 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.8664136  -0.85749257 -0.8890697  -0.9418401  -1.1030762  -0.92528445
 -1.0656852  -1.0699294 ...
[ 2018-10-17 17:08:05,153 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,153 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,153 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,153 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,156 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.8664136  -0.85749257 -0.8890697  -0.9418401  -1.1030762  -0.92528445
 -1.0656852  -1.0699294 ...
[ 2018-10-17 17:08:05,156 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,159 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.8664136  -0.85749257 -0.8890697  -0.9418401  -1.1030762  -0.92528445
 -1.0656852  -1.0699294 ...
[ 2018-10-17 17:08:05,160 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,160 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/weights
[ 2018-10-17 17:08:05,160 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,160 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,160 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,162 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 256], value = [[[[-0.0335865   0.02773693 -0.00848984 ... -0.0232874   0.00510104
    -0.0070675 ]
   [ 0.01204...
[ 2018-10-17 17:08:05,162 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,162 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/weights/read
[ 2018-10-17 17:08:05,162 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,164 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,165 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   1 384 256], value = [[[[-0.0335865   0.02773693 -0.00848984 ... -0.0232874   0.00510104
    -0.0070675 ]
   [ 0.01204...
[ 2018-10-17 17:08:05,165 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,167 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   1 384 256], value = [[[[-0.0335865   0.02773693 -0.00848984 ... -0.0232874   0.00510104
    -0.0070675 ]
   [ 0.01204...
[ 2018-10-17 17:08:05,167 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,167 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,167 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,168 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,168 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,170 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.10158737 0.0891982  0.10123637 0.11982751 0.09375563 0.10081545
 0.10542177 0.08553531 0.12531...
[ 2018-10-17 17:08:05,171 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,171 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,171 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,171 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,174 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.10158737 0.0891982  0.10123637 0.11982751 0.09375563 0.10081545
 0.10542177 0.08553531 0.12531...
[ 2018-10-17 17:08:05,174 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,177 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.10158737 0.0891982  0.10123637 0.11982751 0.09375563 0.10081545
 0.10542177 0.08553531 0.12531...
[ 2018-10-17 17:08:05,177 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,177 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,177 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,177 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,177 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,180 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.30941853 -0.1765109  -0.22087575 -0.27693278 -0.45505086 -0.38149276
 -0.2771428  -0.31482747...
[ 2018-10-17 17:08:05,180 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,180 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,180 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,180 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,183 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.30941853 -0.1765109  -0.22087575 -0.27693278 -0.45505086 -0.38149276
 -0.2771428  -0.31482747...
[ 2018-10-17 17:08:05,183 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,185 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.30941853 -0.1765109  -0.22087575 -0.27693278 -0.45505086 -0.38149276
 -0.2771428  -0.31482747...
[ 2018-10-17 17:08:05,186 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,186 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/beta
[ 2018-10-17 17:08:05,186 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,186 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,186 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,188 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.075881   -1.2438622  -1.2205484  -1.1066525  -1.2719624  -1.2461467
 -1.057954   -1.4118251  ...
[ 2018-10-17 17:08:05,189 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,189 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/read
[ 2018-10-17 17:08:05,189 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,189 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,192 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.075881   -1.2438622  -1.2205484  -1.1066525  -1.2719624  -1.2461467
 -1.057954   -1.4118251  ...
[ 2018-10-17 17:08:05,192 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,194 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.075881   -1.2438622  -1.2205484  -1.1066525  -1.2719624  -1.2461467
 -1.057954   -1.4118251  ...
[ 2018-10-17 17:08:05,194 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,195 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/weights
[ 2018-10-17 17:08:05,195 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,195 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,195 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,196 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 384 256], value = [[[[-0.0110214  -0.00263491  0.03234636 ... -0.0297055  -0.00285233
     0.02424841]
   [ 0.00012...
[ 2018-10-17 17:08:05,197 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,197 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/weights/read
[ 2018-10-17 17:08:05,197 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,197 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,198 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   3 384 256], value = [[[[-0.0110214  -0.00263491  0.03234636 ... -0.0297055  -0.00285233
     0.02424841]
   [ 0.00012...
[ 2018-10-17 17:08:05,199 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,200 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   3 384 256], value = [[[[-0.0110214  -0.00263491  0.03234636 ... -0.0297055  -0.00285233
     0.02424841]
   [ 0.00012...
[ 2018-10-17 17:08:05,200 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,200 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,200 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,201 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,201 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,205 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.27586758 0.20518368 0.18325208 0.26199824 0.2808853  0.37137237
 0.23579486 0.272721   0.28365...
[ 2018-10-17 17:08:05,205 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,205 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,205 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,205 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,209 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.27586758 0.20518368 0.18325208 0.26199824 0.2808853  0.37137237
 0.23579486 0.272721   0.28365...
[ 2018-10-17 17:08:05,209 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,213 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.27586758 0.20518368 0.18325208 0.26199824 0.2808853  0.37137237
 0.23579486 0.272721   0.28365...
[ 2018-10-17 17:08:05,213 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,213 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,213 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,213 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,213 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,217 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.22423911 -0.28037375 -0.39454937 -0.20088825 -0.26748198 -0.31471336
 -0.2725553  -0.2588282 ...
[ 2018-10-17 17:08:05,217 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,217 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,217 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,217 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,221 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.22423911 -0.28037375 -0.39454937 -0.20088825 -0.26748198 -0.31471336
 -0.2725553  -0.2588282 ...
[ 2018-10-17 17:08:05,222 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,225 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.22423911 -0.28037375 -0.39454937 -0.20088825 -0.26748198 -0.31471336
 -0.2725553  -0.2588282 ...
[ 2018-10-17 17:08:05,225 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,225 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,225 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,226 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,226 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,229 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.6279998  -0.7429018  -1.0814799  -0.6219153  -0.60670865 -0.48151392
 -0.68203294 -0.5806569 ...
[ 2018-10-17 17:08:05,229 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,229 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,230 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,230 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,233 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.6279998  -0.7429018  -1.0814799  -0.6219153  -0.60670865 -0.48151392
 -0.68203294 -0.5806569 ...
[ 2018-10-17 17:08:05,234 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,237 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.6279998  -0.7429018  -1.0814799  -0.6219153  -0.60670865 -0.48151392
 -0.68203294 -0.5806569 ...
[ 2018-10-17 17:08:05,238 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,238 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,238 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,238 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,238 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,239 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.01067282  0.0117742   0.03999854 ...  0.01644378 -0.00086334
     0.00754785]
   [-0.00308...
[ 2018-10-17 17:08:05,239 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,239 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,239 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,239 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,240 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  384], value = [[[[ 0.01067282  0.0117742   0.03999854 ...  0.01644378 -0.00086334
     0.00754785]
   [-0.00308...
[ 2018-10-17 17:08:05,240 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,241 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  384], value = [[[[ 0.01067282  0.0117742   0.03999854 ...  0.01644378 -0.00086334
     0.00754785]
   [-0.00308...
[ 2018-10-17 17:08:05,241 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,241 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,241 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,241 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,241 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,244 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.27217647 0.20614368 0.3261929  0.22599712 0.2355098  0.25311118
 0.1948405  0.20834647 0.26172...
[ 2018-10-17 17:08:05,244 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,244 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,244 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,244 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,247 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.27217647 0.20614368 0.3261929  0.22599712 0.2355098  0.25311118
 0.1948405  0.20834647 0.26172...
[ 2018-10-17 17:08:05,247 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,250 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.27217647 0.20614368 0.3261929  0.22599712 0.2355098  0.25311118
 0.1948405  0.20834647 0.26172...
[ 2018-10-17 17:08:05,250 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,250 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,250 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,250 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,251 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,253 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.23800242 -0.08045782 -0.39932048 -0.12404375 -0.31725892 -0.07683467
  0.07466877 -0.02743703...
[ 2018-10-17 17:08:05,253 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,253 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,253 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,254 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,256 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.23800242 -0.08045782 -0.39932048 -0.12404375 -0.31725892 -0.07683467
  0.07466877 -0.02743703...
[ 2018-10-17 17:08:05,256 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,259 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.23800242 -0.08045782 -0.39932048 -0.12404375 -0.31725892 -0.07683467
  0.07466877 -0.02743703...
[ 2018-10-17 17:08:05,259 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,259 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,259 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,259 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,259 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,262 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.59489876 -0.6026037  -0.5493074  -0.7462568  -0.7671857  -0.7266109
 -0.7856172  -0.8324098  ...
[ 2018-10-17 17:08:05,262 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,262 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,262 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,263 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,265 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.59489876 -0.6026037  -0.5493074  -0.7462568  -0.7671857  -0.7266109
 -0.7856172  -0.8324098  ...
[ 2018-10-17 17:08:05,266 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,268 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.59489876 -0.6026037  -0.5493074  -0.7462568  -0.7671857  -0.7266109
 -0.7856172  -0.8324098  ...
[ 2018-10-17 17:08:05,268 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,268 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,269 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,269 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,269 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,270 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.01928474  0.02096531  0.01840412 ... -0.02468713 -0.03121971
     0.0166719 ]
   [-0.00035...
[ 2018-10-17 17:08:05,270 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,270 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,270 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,270 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,271 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1536  256], value = [[[[-0.01928474  0.02096531  0.01840412 ... -0.02468713 -0.03121971
     0.0166719 ]
   [-0.00035...
[ 2018-10-17 17:08:05,271 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,272 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1536  256], value = [[[[-0.01928474  0.02096531  0.01840412 ... -0.02468713 -0.03121971
     0.0166719 ]
   [-0.00035...
[ 2018-10-17 17:08:05,272 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,272 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,272 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,273 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,273 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,276 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [2.4018345e+00 9.3741405e-01 1.3815575e+00 1.6289585e+00 1.2972088e+00
 5.6056714e+00 1.4511838e+...
[ 2018-10-17 17:08:05,276 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,276 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,277 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,277 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,281 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [320], value = [2.4018345e+00 9.3741405e-01 1.3815575e+00 1.6289585e+00 1.2972088e+00
 5.6056714e+00 1.4511838e+...
[ 2018-10-17 17:08:05,281 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,284 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [2.4018345e+00 9.3741405e-01 1.3815575e+00 1.6289585e+00 1.2972088e+00
 5.6056714e+00 1.4511838e+...
[ 2018-10-17 17:08:05,285 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,285 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,285 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,285 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,285 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,288 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [-1.04240274e+00 -8.17991614e-01 -4.97073531e-01 -1.39678633e+00
 -1.14701259e+00 -1.34478629e+00...
[ 2018-10-17 17:08:05,289 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,289 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,289 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,289 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,292 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [320], value = [-1.04240274e+00 -8.17991614e-01 -4.97073531e-01 -1.39678633e+00
 -1.14701259e+00 -1.34478629e+00...
[ 2018-10-17 17:08:05,293 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,296 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [-1.04240274e+00 -8.17991614e-01 -4.97073531e-01 -1.39678633e+00
 -1.14701259e+00 -1.34478629e+00...
[ 2018-10-17 17:08:05,296 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,296 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:05,296 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,296 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,296 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,299 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [-0.7153704  -0.78344226 -0.92339015 -0.88614887 -0.89120644 -0.1203169
 -0.77504927 -0.6668854  ...
[ 2018-10-17 17:08:05,299 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,300 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:05,300 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,300 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,303 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [320], value = [-0.7153704  -0.78344226 -0.92339015 -0.88614887 -0.89120644 -0.1203169
 -0.77504927 -0.6668854  ...
[ 2018-10-17 17:08:05,303 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,306 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [-0.7153704  -0.78344226 -0.92339015 -0.88614887 -0.89120644 -0.1203169
 -0.77504927 -0.6668854  ...
[ 2018-10-17 17:08:05,306 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,307 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:05,307 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,307 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,307 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,311 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 320 320], value = [[[[ 1.08675109e-02 -6.31782343e-04 -4.61652223e-03 ... -8.50849133e-03
    -1.92124269e-03 -1.52...
[ 2018-10-17 17:08:05,311 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,311 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:05,311 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,311 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,315 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   3 320 320], value = [[[[ 1.08675109e-02 -6.31782343e-04 -4.61652223e-03 ... -8.50849133e-03
    -1.92124269e-03 -1.52...
[ 2018-10-17 17:08:05,315 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,319 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 320 320], value = [[[[ 1.08675109e-02 -6.31782343e-04 -4.61652223e-03 ... -8.50849133e-03
    -1.92124269e-03 -1.52...
[ 2018-10-17 17:08:05,319 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,319 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,319 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,319 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,319 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,323 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [0.24022546 0.5632738  0.23996988 0.3981356  0.25706157 0.18874784
 0.21308346 0.2144313  0.42999...
[ 2018-10-17 17:08:05,323 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,323 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,323 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,323 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,326 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [320], value = [0.24022546 0.5632738  0.23996988 0.3981356  0.25706157 0.18874784
 0.21308346 0.2144313  0.42999...
[ 2018-10-17 17:08:05,326 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,330 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [0.24022546 0.5632738  0.23996988 0.3981356  0.25706157 0.18874784
 0.21308346 0.2144313  0.42999...
[ 2018-10-17 17:08:05,330 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,330 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,330 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,330 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,330 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,333 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [ 1.37428910e-01  2.57216662e-01 -1.58675253e-01 -1.49276748e-01
 -2.27839425e-01 -2.50340611e-01...
[ 2018-10-17 17:08:05,333 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,334 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,334 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,334 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,337 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [320], value = [ 1.37428910e-01  2.57216662e-01 -1.58675253e-01 -1.49276748e-01
 -2.27839425e-01 -2.50340611e-01...
[ 2018-10-17 17:08:05,337 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,340 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [ 1.37428910e-01  2.57216662e-01 -1.58675253e-01 -1.49276748e-01
 -2.27839425e-01 -2.50340611e-01...
[ 2018-10-17 17:08:05,340 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,340 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:05,340 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,341 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,341 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,344 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [-0.65795404  1.0588449   0.12464035 -0.6921014   0.09718864 -0.57453436
 -0.63661927 -0.32877168...
[ 2018-10-17 17:08:05,344 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,344 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,344 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,344 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,347 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [320], value = [-0.65795404  1.0588449   0.12464035 -0.6921014   0.09718864 -0.57453436
 -0.63661927 -0.32877168...
[ 2018-10-17 17:08:05,347 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,350 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [320], value = [-0.65795404  1.0588449   0.12464035 -0.6921014   0.09718864 -0.57453436
 -0.63661927 -0.32877168...
[ 2018-10-17 17:08:05,351 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,351 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:05,351 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,351 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,351 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,354 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 256 320], value = [[[[-1.69172771e-02  2.64516100e-02  2.44975165e-02 ...  2.62467433e-02
     2.79086479e-03 -2.39...
[ 2018-10-17 17:08:05,354 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,354 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:05,354 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,354 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,357 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 256 320], value = [[[[-1.69172771e-02  2.64516100e-02  2.44975165e-02 ...  2.62467433e-02
     2.79086479e-03 -2.39...
[ 2018-10-17 17:08:05,357 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,359 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 256 320], value = [[[[-1.69172771e-02  2.64516100e-02  2.44975165e-02 ...  2.62467433e-02
     2.79086479e-03 -2.39...
[ 2018-10-17 17:08:05,360 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,360 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,360 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,360 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,360 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,362 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.06099127 0.09310936 0.4045004  0.09254414 0.15030406 0.11242639
 0.13019395 0.07052135 0.10763...
[ 2018-10-17 17:08:05,363 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,363 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,363 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,363 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,365 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.06099127 0.09310936 0.4045004  0.09254414 0.15030406 0.11242639
 0.13019395 0.07052135 0.10763...
[ 2018-10-17 17:08:05,366 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,368 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.06099127 0.09310936 0.4045004  0.09254414 0.15030406 0.11242639
 0.13019395 0.07052135 0.10763...
[ 2018-10-17 17:08:05,368 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,368 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,369 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,369 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,369 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,371 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.12146627  0.25316194  0.26712412 -0.202439   -0.04943398  0.00350024
 -0.32834277 -0.47915795...
[ 2018-10-17 17:08:05,372 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,372 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,372 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,372 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,375 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.12146627  0.25316194  0.26712412 -0.202439   -0.04943398  0.00350024
 -0.32834277 -0.47915795...
[ 2018-10-17 17:08:05,375 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,377 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.12146627  0.25316194  0.26712412 -0.202439   -0.04943398  0.00350024
 -0.32834277 -0.47915795...
[ 2018-10-17 17:08:05,377 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,377 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:05,377 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,378 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,378 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,380 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.25182128 -1.0888689   0.9085155  -0.34693766 -0.20680326 -0.544956
 -0.08844137 -0.3012457  -...
[ 2018-10-17 17:08:05,380 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,380 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:05,380 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,381 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,383 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.25182128 -1.0888689   0.9085155  -0.34693766 -0.20680326 -0.544956
 -0.08844137 -0.3012457  -...
[ 2018-10-17 17:08:05,383 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,386 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.25182128 -1.0888689   0.9085155  -0.34693766 -0.20680326 -0.544956
 -0.08844137 -0.3012457  -...
[ 2018-10-17 17:08:05,386 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,386 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:05,386 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,386 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,386 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,389 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 256 256], value = [[[[-1.90250892e-02  1.56803057e-03  2.95157009e-03 ...  8.51589793e-05
     8.98655970e-04 -1.75...
[ 2018-10-17 17:08:05,389 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,389 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:05,389 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,389 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,392 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 256 256], value = [[[[-1.90250892e-02  1.56803057e-03  2.95157009e-03 ...  8.51589793e-05
     8.98655970e-04 -1.75...
[ 2018-10-17 17:08:05,392 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,395 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 256 256], value = [[[[-1.90250892e-02  1.56803057e-03  2.95157009e-03 ...  8.51589793e-05
     8.98655970e-04 -1.75...
[ 2018-10-17 17:08:05,395 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,395 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,395 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,395 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,395 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,398 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [3.07863187e-02 2.36497521e-02 2.29183584e-02 2.96878163e-02
 4.68922742e-02 3.05495858e-02 3.098...
[ 2018-10-17 17:08:05,398 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,398 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,399 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,399 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,401 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [3.07863187e-02 2.36497521e-02 2.29183584e-02 2.96878163e-02
 4.68922742e-02 3.05495858e-02 3.098...
[ 2018-10-17 17:08:05,402 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,404 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [3.07863187e-02 2.36497521e-02 2.29183584e-02 2.96878163e-02
 4.68922742e-02 3.05495858e-02 3.098...
[ 2018-10-17 17:08:05,405 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,405 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,405 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,405 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,405 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,408 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [ 9.88768134e-03  1.38466284e-01  1.10783450e-01 -6.83281273e-02
  2.18280867e-01  1.48087218e-01...
[ 2018-10-17 17:08:05,408 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,408 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,408 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,408 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,411 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [ 9.88768134e-03  1.38466284e-01  1.10783450e-01 -6.83281273e-02
  2.18280867e-01  1.48087218e-01...
[ 2018-10-17 17:08:05,411 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,413 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [ 9.88768134e-03  1.38466284e-01  1.10783450e-01 -6.83281273e-02
  2.18280867e-01  1.48087218e-01...
[ 2018-10-17 17:08:05,414 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,414 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,414 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,414 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,414 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,417 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.5561905  -0.69380546 -0.7529646  -0.5613836  -0.32516602 -0.59003955
 -0.5732783  -0.49150106...
[ 2018-10-17 17:08:05,417 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,417 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,417 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,417 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,420 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.5561905  -0.69380546 -0.7529646  -0.5613836  -0.32516602 -0.59003955
 -0.5732783  -0.49150106...
[ 2018-10-17 17:08:05,420 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,422 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.5561905  -0.69380546 -0.7529646  -0.5613836  -0.32516602 -0.59003955
 -0.5732783  -0.49150106...
[ 2018-10-17 17:08:05,423 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,423 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,423 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,423 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,423 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,424 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  256], value = [[[[-0.01590487  0.00689603 -0.0171593  ... -0.014875   -0.01101844
    -0.00435727]
   [ 0.00682...
[ 2018-10-17 17:08:05,424 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,424 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,424 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,424 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,425 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  256], value = [[[[-0.01590487  0.00689603 -0.0171593  ... -0.014875   -0.01101844
    -0.00435727]
   [ 0.00682...
[ 2018-10-17 17:08:05,425 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,426 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  256], value = [[[[-0.01590487  0.00689603 -0.0171593  ... -0.014875   -0.01101844
    -0.00435727]
   [ 0.00682...
[ 2018-10-17 17:08:05,426 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,426 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,426 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,426 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,426 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,428 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.08731899 0.07081667 0.05604791 0.08278736 0.08565908 0.07926466
 0.07303413 0.09008326 0.06547...
[ 2018-10-17 17:08:05,428 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,429 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,429 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,429 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,431 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.08731899 0.07081667 0.05604791 0.08278736 0.08565908 0.07926466
 0.07303413 0.09008326 0.06547...
[ 2018-10-17 17:08:05,431 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,433 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.08731899 0.07081667 0.05604791 0.08278736 0.08565908 0.07926466
 0.07303413 0.09008326 0.06547...
[ 2018-10-17 17:08:05,433 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,433 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,433 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,433 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,434 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,436 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.41709489e-01 -1.20987818e-01 -1.78264137e-02 -3.46913755e-01
 -3.44228625e-01 -3.27365726e-01...
[ 2018-10-17 17:08:05,436 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,436 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,436 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,436 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,438 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-4.41709489e-01 -1.20987818e-01 -1.78264137e-02 -3.46913755e-01
 -3.44228625e-01 -3.27365726e-01...
[ 2018-10-17 17:08:05,438 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,440 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.41709489e-01 -1.20987818e-01 -1.78264137e-02 -3.46913755e-01
 -3.44228625e-01 -3.27365726e-01...
[ 2018-10-17 17:08:05,441 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,441 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:05,441 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,441 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,441 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,443 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.1132393  -0.8160524  -0.9443448  -0.76804453 -0.88616025 -0.86501276
 -1.0226306  -0.9290335 ...
[ 2018-10-17 17:08:05,443 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,444 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:05,444 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,444 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,446 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-1.1132393  -0.8160524  -0.9443448  -0.76804453 -0.88616025 -0.86501276
 -1.0226306  -0.9290335 ...
[ 2018-10-17 17:08:05,446 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,448 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.1132393  -0.8160524  -0.9443448  -0.76804453 -0.88616025 -0.86501276
 -1.0226306  -0.9290335 ...
[ 2018-10-17 17:08:05,449 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,449 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:05,449 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,449 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,449 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,452 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 192 192], value = [[[[-4.02401527e-03 -2.67852414e-02  8.76185484e-03 ...  8.44625849e-03
    -9.01712477e-03  2.34...
[ 2018-10-17 17:08:05,453 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,453 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:05,453 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,453 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,456 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   3 192 192], value = [[[[-4.02401527e-03 -2.67852414e-02  8.76185484e-03 ...  8.44625849e-03
    -9.01712477e-03  2.34...
[ 2018-10-17 17:08:05,456 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,460 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 192 192], value = [[[[-4.02401527e-03 -2.67852414e-02  8.76185484e-03 ...  8.44625849e-03
    -9.01712477e-03  2.34...
[ 2018-10-17 17:08:05,460 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,460 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,460 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,460 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,461 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,463 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.05217551 0.05195262 0.04341384 0.04516232 0.02999455 0.04320522
 0.06352072 0.03496366 0.08470...
[ 2018-10-17 17:08:05,463 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,463 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,463 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,463 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,465 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.05217551 0.05195262 0.04341384 0.04516232 0.02999455 0.04320522
 0.06352072 0.03496366 0.08470...
[ 2018-10-17 17:08:05,465 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,467 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.05217551 0.05195262 0.04341384 0.04516232 0.02999455 0.04320522
 0.06352072 0.03496366 0.08470...
[ 2018-10-17 17:08:05,467 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,468 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,468 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,468 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,468 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,470 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.65526234e-02  7.79395029e-02  8.54931399e-02  6.62926733e-02
  5.01165390e-02 -8.47135857e-02...
[ 2018-10-17 17:08:05,470 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,470 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,470 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,470 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,472 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-1.65526234e-02  7.79395029e-02  8.54931399e-02  6.62926733e-02
  5.01165390e-02 -8.47135857e-02...
[ 2018-10-17 17:08:05,472 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,474 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.65526234e-02  7.79395029e-02  8.54931399e-02  6.62926733e-02
  5.01165390e-02 -8.47135857e-02...
[ 2018-10-17 17:08:05,475 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,475 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,475 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,475 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,475 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,477 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.48126486 -0.74882585 -0.6966696  -0.63650787 -0.8254495  -0.6560278
 -0.385371   -0.6164796  ...
[ 2018-10-17 17:08:05,477 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,477 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,477 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,477 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,479 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.48126486 -0.74882585 -0.6966696  -0.63650787 -0.8254495  -0.6560278
 -0.385371   -0.6164796  ...
[ 2018-10-17 17:08:05,480 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,482 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.48126486 -0.74882585 -0.6966696  -0.63650787 -0.8254495  -0.6560278
 -0.385371   -0.6164796  ...
[ 2018-10-17 17:08:05,482 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,482 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,482 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,482 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,482 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,483 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.00778179 -0.01657824 -0.00760368 ...  0.03238055 -0.03429167
    -0.00997253]
   [ 0.01682...
[ 2018-10-17 17:08:05,483 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,484 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,484 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,484 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,485 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-0.00778179 -0.01657824 -0.00760368 ...  0.03238055 -0.03429167
    -0.00997253]
   [ 0.01682...
[ 2018-10-17 17:08:05,485 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,485 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.00778179 -0.01657824 -0.00760368 ...  0.03238055 -0.03429167
    -0.00997253]
   [ 0.01682...
[ 2018-10-17 17:08:05,486 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,486 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,486 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,486 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,486 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,487 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.1342557  0.08715783 0.16491866 0.3153048  0.09792187 0.16690417
 0.13663109 0.12923731 0.10084...
[ 2018-10-17 17:08:05,488 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,488 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,488 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,488 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,490 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [0.1342557  0.08715783 0.16491866 0.3153048  0.09792187 0.16690417
 0.13663109 0.12923731 0.10084...
[ 2018-10-17 17:08:05,490 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,491 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.1342557  0.08715783 0.16491866 0.3153048  0.09792187 0.16690417
 0.13663109 0.12923731 0.10084...
[ 2018-10-17 17:08:05,491 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,492 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,492 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,492 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,492 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,493 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.6205531  -0.5020528  -0.4899282  -0.10689084 -0.59743935 -0.46008587
 -0.22455701 -0.26017576...
[ 2018-10-17 17:08:05,494 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,494 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,494 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,494 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,495 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.6205531  -0.5020528  -0.4899282  -0.10689084 -0.59743935 -0.46008587
 -0.22455701 -0.26017576...
[ 2018-10-17 17:08:05,495 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,497 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.6205531  -0.5020528  -0.4899282  -0.10689084 -0.59743935 -0.46008587
 -0.22455701 -0.26017576...
[ 2018-10-17 17:08:05,497 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,497 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,497 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,497 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,497 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,499 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-1.5769815  -1.8192927  -1.0438693  -0.7821421  -1.7296158  -1.1009879
 -1.2179294  -1.476412   ...
[ 2018-10-17 17:08:05,499 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,499 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,499 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,499 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,501 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-1.5769815  -1.8192927  -1.0438693  -0.7821421  -1.7296158  -1.1009879
 -1.2179294  -1.476412   ...
[ 2018-10-17 17:08:05,501 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,502 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-1.5769815  -1.8192927  -1.0438693  -0.7821421  -1.7296158  -1.1009879
 -1.2179294  -1.476412   ...
[ 2018-10-17 17:08:05,502 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,502 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:05,502 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,502 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,503 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,503 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.02401791 -0.00711056  0.00464704 ...  0.01978275  0.04714533
    -0.02307655]
   [-0.05461...
[ 2018-10-17 17:08:05,503 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,503 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:05,504 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,504 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,505 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  128], value = [[[[ 0.02401791 -0.00711056  0.00464704 ...  0.01978275  0.04714533
    -0.02307655]
   [-0.05461...
[ 2018-10-17 17:08:05,505 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,505 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.02401791 -0.00711056  0.00464704 ...  0.01978275  0.04714533
    -0.02307655]
   [-0.05461...
[ 2018-10-17 17:08:05,506 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,506 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,506 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,506 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,506 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,509 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.3851969  0.47999537 0.77361006 0.62141    0.5305952  0.8094689
 0.90023357 0.3405612  0.219874...
[ 2018-10-17 17:08:05,509 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,509 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,509 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,509 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,512 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.3851969  0.47999537 0.77361006 0.62141    0.5305952  0.8094689
 0.90023357 0.3405612  0.219874...
[ 2018-10-17 17:08:05,512 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,514 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.3851969  0.47999537 0.77361006 0.62141    0.5305952  0.8094689
 0.90023357 0.3405612  0.219874...
[ 2018-10-17 17:08:05,514 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,514 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,515 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,515 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,515 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,517 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.55841124 -0.93930393 -1.1201864  -0.9198676  -1.3055627  -1.325943
 -0.98597926 -1.0413154  -...
[ 2018-10-17 17:08:05,517 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,518 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,518 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,518 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,521 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.55841124 -0.93930393 -1.1201864  -0.9198676  -1.3055627  -1.325943
 -0.98597926 -1.0413154  -...
[ 2018-10-17 17:08:05,521 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,523 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.55841124 -0.93930393 -1.1201864  -0.9198676  -1.3055627  -1.325943
 -0.98597926 -1.0413154  -...
[ 2018-10-17 17:08:05,524 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,524 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
[ 2018-10-17 17:08:05,524 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,524 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,524 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,526 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.6968179  -1.6883367  -1.3620003  -1.5885872  -1.3982474  -1.1531696
 -1.0335369  -1.6879838  ...
[ 2018-10-17 17:08:05,527 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,527 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:05,527 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,527 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,530 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.6968179  -1.6883367  -1.3620003  -1.5885872  -1.3982474  -1.1531696
 -1.0335369  -1.6879838  ...
[ 2018-10-17 17:08:05,530 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,532 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.6968179  -1.6883367  -1.3620003  -1.5885872  -1.3982474  -1.1531696
 -1.0335369  -1.6879838  ...
[ 2018-10-17 17:08:05,532 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,532 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/weights
[ 2018-10-17 17:08:05,532 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,533 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,533 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,535 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-0.00830247  0.03190922  0.02449294 ...  0.03224218 -0.00714508
     0.02758053]
   [ 0.00685...
[ 2018-10-17 17:08:05,535 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,535 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/weights/read
[ 2018-10-17 17:08:05,536 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,536 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,539 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 224 256], value = [[[[-0.00830247  0.03190922  0.02449294 ...  0.03224218 -0.00714508
     0.02758053]
   [ 0.00685...
[ 2018-10-17 17:08:05,539 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,541 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-0.00830247  0.03190922  0.02449294 ...  0.03224218 -0.00714508
     0.02758053]
   [ 0.00685...
[ 2018-10-17 17:08:05,542 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,542 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,542 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,542 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,542 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,544 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [2.5296223e-01 2.6120782e-01 3.0381837e-01 2.9234564e-01 4.1655600e-01
 3.0571812e-01 2.7469108e-...
[ 2018-10-17 17:08:05,544 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,544 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,544 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,545 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,547 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [2.5296223e-01 2.6120782e-01 3.0381837e-01 2.9234564e-01 4.1655600e-01
 3.0571812e-01 2.7469108e-...
[ 2018-10-17 17:08:05,547 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,549 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [2.5296223e-01 2.6120782e-01 3.0381837e-01 2.9234564e-01 4.1655600e-01
 3.0571812e-01 2.7469108e-...
[ 2018-10-17 17:08:05,549 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,549 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,549 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,549 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,550 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,552 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-4.76295441e-01 -2.41624445e-01 -2.26430357e-01 -2.01723188e-01
 -1.10874228e-01 -2.60133028e-01...
[ 2018-10-17 17:08:05,552 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,552 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,552 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,552 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,555 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-4.76295441e-01 -2.41624445e-01 -2.26430357e-01 -2.01723188e-01
 -1.10874228e-01 -2.60133028e-01...
[ 2018-10-17 17:08:05,555 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,557 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-4.76295441e-01 -2.41624445e-01 -2.26430357e-01 -2.01723188e-01
 -1.10874228e-01 -2.60133028e-01...
[ 2018-10-17 17:08:05,558 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,558 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
[ 2018-10-17 17:08:05,558 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,558 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,558 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,560 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-4.3293560e-01 -8.7422091e-01 -5.5373734e-01 -5.3367734e-01
 -2.2476210e-01 -5.2203476e-01 -6.97...
[ 2018-10-17 17:08:05,561 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,561 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,561 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,561 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,564 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-4.3293560e-01 -8.7422091e-01 -5.5373734e-01 -5.3367734e-01
 -2.2476210e-01 -5.2203476e-01 -6.97...
[ 2018-10-17 17:08:05,564 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,566 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-4.3293560e-01 -8.7422091e-01 -5.5373734e-01 -5.3367734e-01
 -2.2476210e-01 -5.2203476e-01 -6.97...
[ 2018-10-17 17:08:05,566 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,566 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/weights
[ 2018-10-17 17:08:05,566 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,567 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,567 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,569 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-0.01616301 -0.04223457  0.01277434 ... -0.02384336  0.01518165
    -0.02630964]
   [ 0.00415...
[ 2018-10-17 17:08:05,570 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,570 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/weights/read
[ 2018-10-17 17:08:05,570 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,570 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,572 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 224], value = [[[[-0.01616301 -0.04223457  0.01277434 ... -0.02384336  0.01518165
    -0.02630964]
   [ 0.00415...
[ 2018-10-17 17:08:05,572 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,575 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-0.01616301 -0.04223457  0.01277434 ... -0.02384336  0.01518165
    -0.02630964]
   [ 0.00415...
[ 2018-10-17 17:08:05,575 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,575 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,575 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,575 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,575 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,578 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [2.4452586e-01 1.6993347e-01 2.7713969e-01 3.2262242e-01 2.2679162e-01
 3.2264379e-01 3.3682135e-...
[ 2018-10-17 17:08:05,578 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,578 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,578 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,578 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,580 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [2.4452586e-01 1.6993347e-01 2.7713969e-01 3.2262242e-01 2.2679162e-01
 3.2264379e-01 3.3682135e-...
[ 2018-10-17 17:08:05,581 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,583 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [2.4452586e-01 1.6993347e-01 2.7713969e-01 3.2262242e-01 2.2679162e-01
 3.2264379e-01 3.3682135e-...
[ 2018-10-17 17:08:05,583 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,583 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,583 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,583 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,584 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,586 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-5.25547922e-01 -5.27146220e-01 -5.41076660e-01 -2.67449737e-01
 -4.68584329e-01 -2.92275161e-01...
[ 2018-10-17 17:08:05,586 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,586 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,586 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,587 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,589 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-5.25547922e-01 -5.27146220e-01 -5.41076660e-01 -2.67449737e-01
 -4.68584329e-01 -2.92275161e-01...
[ 2018-10-17 17:08:05,589 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,592 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-5.25547922e-01 -5.27146220e-01 -5.41076660e-01 -2.67449737e-01
 -4.68584329e-01 -2.92275161e-01...
[ 2018-10-17 17:08:05,592 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,592 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
[ 2018-10-17 17:08:05,592 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,592 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,592 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,594 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.92406404 -1.1827726  -0.88804907 -0.6795136  -1.0023375  -0.6964673
 -0.8097398  -0.03462777 ...
[ 2018-10-17 17:08:05,595 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,595 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:05,595 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,595 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,598 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.92406404 -1.1827726  -0.88804907 -0.6795136  -1.0023375  -0.6964673
 -0.8097398  -0.03462777 ...
[ 2018-10-17 17:08:05,598 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,600 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.92406404 -1.1827726  -0.88804907 -0.6795136  -1.0023375  -0.6964673
 -0.8097398  -0.03462777 ...
[ 2018-10-17 17:08:05,600 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,600 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/weights
[ 2018-10-17 17:08:05,600 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,601 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,601 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,603 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-0.01100734 -0.01641784 -0.00558425 ... -0.00776519 -0.03945974
    -0.0213102 ]
   [ 0.00092...
[ 2018-10-17 17:08:05,603 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,603 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/weights/read
[ 2018-10-17 17:08:05,603 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,604 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,606 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[-0.01100734 -0.01641784 -0.00558425 ... -0.00776519 -0.03945974
    -0.0213102 ]
   [ 0.00092...
[ 2018-10-17 17:08:05,606 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,609 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-0.01100734 -0.01641784 -0.00558425 ... -0.00776519 -0.03945974
    -0.0213102 ]
   [ 0.00092...
[ 2018-10-17 17:08:05,609 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,609 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,609 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,609 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,609 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,611 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.24764545 0.20266032 0.38565648 0.25137725 0.19452122 0.28159675
 0.30704337 0.18995781 0.34268...
[ 2018-10-17 17:08:05,612 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,612 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,612 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,612 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,614 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.24764545 0.20266032 0.38565648 0.25137725 0.19452122 0.28159675
 0.30704337 0.18995781 0.34268...
[ 2018-10-17 17:08:05,614 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,616 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.24764545 0.20266032 0.38565648 0.25137725 0.19452122 0.28159675
 0.30704337 0.18995781 0.34268...
[ 2018-10-17 17:08:05,616 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,616 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,616 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,616 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,616 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,618 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.23577188 -0.03814242 -0.34298256 -0.28833234 -0.21853122 -0.53545594
  0.1388802  -0.43615684...
[ 2018-10-17 17:08:05,618 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,619 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,619 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,619 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,621 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.23577188 -0.03814242 -0.34298256 -0.28833234 -0.21853122 -0.53545594
  0.1388802  -0.43615684...
[ 2018-10-17 17:08:05,621 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,623 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.23577188 -0.03814242 -0.34298256 -0.28833234 -0.21853122 -0.53545594
  0.1388802  -0.43615684...
[ 2018-10-17 17:08:05,623 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,623 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
[ 2018-10-17 17:08:05,623 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,624 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,624 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,626 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.98450196 -0.6893154  -0.57862675 -0.7116709  -0.89641404 -0.53754944
 -0.7010222  -1.0253448 ...
[ 2018-10-17 17:08:05,626 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,626 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,626 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,626 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,628 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.98450196 -0.6893154  -0.57862675 -0.7116709  -0.89641404 -0.53754944
 -0.7010222  -1.0253448 ...
[ 2018-10-17 17:08:05,628 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,630 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.98450196 -0.6893154  -0.57862675 -0.7116709  -0.89641404 -0.53754944
 -0.7010222  -1.0253448 ...
[ 2018-10-17 17:08:05,631 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,631 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/weights
[ 2018-10-17 17:08:05,631 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,631 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,631 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,634 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-3.32587655e-03 -3.90679874e-02  1.06567256e-02 ... -1.25191864e-02
    -3.73087414e-02 -1.70...
[ 2018-10-17 17:08:05,634 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,634 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/weights/read
[ 2018-10-17 17:08:05,634 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,635 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,637 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 192 192], value = [[[[-3.32587655e-03 -3.90679874e-02  1.06567256e-02 ... -1.25191864e-02
    -3.73087414e-02 -1.70...
[ 2018-10-17 17:08:05,637 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,640 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-3.32587655e-03 -3.90679874e-02  1.06567256e-02 ... -1.25191864e-02
    -3.73087414e-02 -1.70...
[ 2018-10-17 17:08:05,640 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,640 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,640 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,640 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,640 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,642 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.17793187 0.13290861 0.5280629  0.2253069  0.18119778 0.43613917
 0.20248133 0.2371591  0.19835...
[ 2018-10-17 17:08:05,642 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,642 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,643 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,643 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,645 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.17793187 0.13290861 0.5280629  0.2253069  0.18119778 0.43613917
 0.20248133 0.2371591  0.19835...
[ 2018-10-17 17:08:05,645 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,647 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.17793187 0.13290861 0.5280629  0.2253069  0.18119778 0.43613917
 0.20248133 0.2371591  0.19835...
[ 2018-10-17 17:08:05,647 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,647 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,647 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,648 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,648 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,650 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.05973006 -0.19465964 -0.60598034 -0.252691   -0.15616511 -0.40537918
 -0.10301778 -0.16904435...
[ 2018-10-17 17:08:05,650 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,650 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,650 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,650 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,652 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.05973006 -0.19465964 -0.60598034 -0.252691   -0.15616511 -0.40537918
 -0.10301778 -0.16904435...
[ 2018-10-17 17:08:05,652 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,654 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.05973006 -0.19465964 -0.60598034 -0.252691   -0.15616511 -0.40537918
 -0.10301778 -0.16904435...
[ 2018-10-17 17:08:05,654 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,654 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,655 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,655 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,655 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,657 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.8685087  -1.2314339  -0.4399856  -0.7580128  -0.6922757  -0.44802138
 -0.5645473  -0.3318487 ...
[ 2018-10-17 17:08:05,657 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,657 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,657 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,657 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,659 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.8685087  -1.2314339  -0.4399856  -0.7580128  -0.6922757  -0.44802138
 -0.5645473  -0.3318487 ...
[ 2018-10-17 17:08:05,659 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,661 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.8685087  -1.2314339  -0.4399856  -0.7580128  -0.6922757  -0.44802138
 -0.5645473  -0.3318487 ...
[ 2018-10-17 17:08:05,662 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,662 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,662 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,662 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,662 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,663 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.02993792  0.03273425  0.00296539 ...  0.01087513  0.04250566
     0.00236839]
   [-0.01651...
[ 2018-10-17 17:08:05,663 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,663 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,663 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,663 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,664 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[ 0.02993792  0.03273425  0.00296539 ...  0.01087513  0.04250566
     0.00236839]
   [-0.01651...
[ 2018-10-17 17:08:05,664 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,665 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.02993792  0.03273425  0.00296539 ...  0.01087513  0.04250566
     0.00236839]
   [-0.01651...
[ 2018-10-17 17:08:05,665 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,665 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,665 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,665 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,665 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,668 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.42323652 0.45881686 0.5316811  0.2650152  0.32649854 0.33528036
 0.6978301  0.66899663 0.43062...
[ 2018-10-17 17:08:05,668 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,668 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,668 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,669 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,671 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.42323652 0.45881686 0.5316811  0.2650152  0.32649854 0.33528036
 0.6978301  0.66899663 0.43062...
[ 2018-10-17 17:08:05,671 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,674 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.42323652 0.45881686 0.5316811  0.2650152  0.32649854 0.33528036
 0.6978301  0.66899663 0.43062...
[ 2018-10-17 17:08:05,674 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,674 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,674 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,675 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,675 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,677 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7946003  -0.860946   -1.0803946  -0.5384647  -0.91002905 -0.79753286
 -1.0777266  -0.805386  ...
[ 2018-10-17 17:08:05,678 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,678 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,678 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,678 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,681 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.7946003  -0.860946   -1.0803946  -0.5384647  -0.91002905 -0.79753286
 -1.0777266  -0.805386  ...
[ 2018-10-17 17:08:05,681 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,683 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7946003  -0.860946   -1.0803946  -0.5384647  -0.91002905 -0.79753286
 -1.0777266  -0.805386  ...
[ 2018-10-17 17:08:05,683 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,683 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:05,683 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,684 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,684 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,686 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.6646174  -1.499027   -1.4461592  -1.7805058  -1.6750523  -1.7642467
 -0.98639035 -0.9940078  ...
[ 2018-10-17 17:08:05,686 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,686 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,686 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,687 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,689 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.6646174  -1.499027   -1.4461592  -1.7805058  -1.6750523  -1.7642467
 -0.98639035 -0.9940078  ...
[ 2018-10-17 17:08:05,689 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,692 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.6646174  -1.499027   -1.4461592  -1.7805058  -1.6750523  -1.7642467
 -0.98639035 -0.9940078  ...
[ 2018-10-17 17:08:05,692 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,692 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:05,692 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,692 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,693 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,695 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 8.51126574e-03 -2.46777460e-02 -4.41644434e-03 ...  2.33434699e-02
     6.62182039e-03  1.37...
[ 2018-10-17 17:08:05,695 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,695 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:05,696 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,696 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,698 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 256], value = [[[[ 8.51126574e-03 -2.46777460e-02 -4.41644434e-03 ...  2.33434699e-02
     6.62182039e-03  1.37...
[ 2018-10-17 17:08:05,699 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,701 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 8.51126574e-03 -2.46777460e-02 -4.41644434e-03 ...  2.33434699e-02
     6.62182039e-03  1.37...
[ 2018-10-17 17:08:05,701 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,701 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,702 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,702 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,702 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,704 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1.89506054e-01 2.45711640e-01 1.72403470e-01 8.86446079e-16
 1.59962997e-01 1.60075665e-01 2.283...
[ 2018-10-17 17:08:05,704 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,704 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,705 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,705 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,707 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [1.89506054e-01 2.45711640e-01 1.72403470e-01 8.86446079e-16
 1.59962997e-01 1.60075665e-01 2.283...
[ 2018-10-17 17:08:05,707 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,710 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [1.89506054e-01 2.45711640e-01 1.72403470e-01 8.86446079e-16
 1.59962997e-01 1.60075665e-01 2.283...
[ 2018-10-17 17:08:05,710 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,710 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,710 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,710 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,710 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,712 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.73930764e-01 -1.48489922e-01 -3.38346153e-01 -1.25479176e-11
 -2.75044888e-01 -2.23856643e-01...
[ 2018-10-17 17:08:05,713 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,713 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,713 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,713 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,715 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-1.73930764e-01 -1.48489922e-01 -3.38346153e-01 -1.25479176e-11
 -2.75044888e-01 -2.23856643e-01...
[ 2018-10-17 17:08:05,715 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,718 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.73930764e-01 -1.48489922e-01 -3.38346153e-01 -1.25479176e-11
 -2.75044888e-01 -2.23856643e-01...
[ 2018-10-17 17:08:05,718 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,718 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:05,718 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,718 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,718 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,720 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.3768776  -0.2584145  -0.7716239  -1.0470338  -0.43590733 -0.63992655
 -0.20761241 -0.5831369 ...
[ 2018-10-17 17:08:05,721 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,721 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:05,721 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,721 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,724 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.3768776  -0.2584145  -0.7716239  -1.0470338  -0.43590733 -0.63992655
 -0.20761241 -0.5831369 ...
[ 2018-10-17 17:08:05,724 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,726 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.3768776  -0.2584145  -0.7716239  -1.0470338  -0.43590733 -0.63992655
 -0.20761241 -0.5831369 ...
[ 2018-10-17 17:08:05,726 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,726 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:05,726 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,726 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,727 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,729 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-2.2413788e-02 -4.2271361e-02 -2.0937607e-02 ...  3.3162881e-03
    -1.3678294e-02  1.3898193...
[ 2018-10-17 17:08:05,729 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,729 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:05,729 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,730 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,732 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[-2.2413788e-02 -4.2271361e-02 -2.0937607e-02 ...  3.3162881e-03
    -1.3678294e-02  1.3898193...
[ 2018-10-17 17:08:05,732 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,734 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-2.2413788e-02 -4.2271361e-02 -2.0937607e-02 ...  3.3162881e-03
    -1.3678294e-02  1.3898193...
[ 2018-10-17 17:08:05,735 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,735 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,735 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,735 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,735 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,737 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [2.5977859e-01 2.4357565e-01 1.6238865e-01 3.4363419e-01 2.2438529e-01
 2.6951635e-01 4.2631468e-...
[ 2018-10-17 17:08:05,737 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,737 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,737 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,738 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,740 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [2.5977859e-01 2.4357565e-01 1.6238865e-01 3.4363419e-01 2.2438529e-01
 2.6951635e-01 4.2631468e-...
[ 2018-10-17 17:08:05,740 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,742 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [2.5977859e-01 2.4357565e-01 1.6238865e-01 3.4363419e-01 2.2438529e-01
 2.6951635e-01 4.2631468e-...
[ 2018-10-17 17:08:05,742 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,742 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,742 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,742 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,742 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,744 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.80116761e-01 -7.82532152e-03 -1.98019773e-01 -5.05237103e-01
 -2.14623794e-01 -2.77054071e-01...
[ 2018-10-17 17:08:05,744 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,744 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,744 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,745 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,747 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-3.80116761e-01 -7.82532152e-03 -1.98019773e-01 -5.05237103e-01
 -2.14623794e-01 -2.77054071e-01...
[ 2018-10-17 17:08:05,747 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,749 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.80116761e-01 -7.82532152e-03 -1.98019773e-01 -5.05237103e-01
 -2.14623794e-01 -2.77054071e-01...
[ 2018-10-17 17:08:05,749 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,749 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,750 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,750 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,750 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,752 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.924528   -0.854598   -1.4854993  -0.7199396  -1.0290961  -0.91264147
 -0.49606168 -1.1725636 ...
[ 2018-10-17 17:08:05,752 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,752 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,752 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,752 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,755 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.924528   -0.854598   -1.4854993  -0.7199396  -1.0290961  -0.91264147
 -0.49606168 -1.1725636 ...
[ 2018-10-17 17:08:05,755 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,757 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.924528   -0.854598   -1.4854993  -0.7199396  -1.0290961  -0.91264147
 -0.49606168 -1.1725636 ...
[ 2018-10-17 17:08:05,757 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,757 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,757 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,758 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,758 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,758 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.02677794  0.03570939  0.06759617 ...  0.08059346  0.01505423
     0.04548516]
   [-0.04604...
[ 2018-10-17 17:08:05,759 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,759 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,759 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,759 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,760 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[ 0.02677794  0.03570939  0.06759617 ...  0.08059346  0.01505423
     0.04548516]
   [-0.04604...
[ 2018-10-17 17:08:05,760 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,761 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.02677794  0.03570939  0.06759617 ...  0.08059346  0.01505423
     0.04548516]
   [-0.04604...
[ 2018-10-17 17:08:05,761 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,761 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,761 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,761 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,761 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,765 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.3679851  0.26722574 0.21019584 0.31189126 0.31117982 0.27588984
 0.39075112 0.25448564 0.25817...
[ 2018-10-17 17:08:05,765 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,765 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,765 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,766 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,769 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.3679851  0.26722574 0.21019584 0.31189126 0.31117982 0.27588984
 0.39075112 0.25448564 0.25817...
[ 2018-10-17 17:08:05,769 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,773 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.3679851  0.26722574 0.21019584 0.31189126 0.31117982 0.27588984
 0.39075112 0.25448564 0.25817...
[ 2018-10-17 17:08:05,773 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,773 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,773 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,773 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,773 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,777 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.47758934 -0.3624011  -0.44637653 -0.39315155 -0.47752002 -0.6634665
 -0.47854686 -0.59725887 ...
[ 2018-10-17 17:08:05,777 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,778 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,778 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,778 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,782 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.47758934 -0.3624011  -0.44637653 -0.39315155 -0.47752002 -0.6634665
 -0.47854686 -0.59725887 ...
[ 2018-10-17 17:08:05,783 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,787 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.47758934 -0.3624011  -0.44637653 -0.39315155 -0.47752002 -0.6634665
 -0.47854686 -0.59725887 ...
[ 2018-10-17 17:08:05,788 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,788 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,788 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,788 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,788 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,792 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.92900044 -1.1831608  -1.4418552  -1.205589   -1.0794283  -1.3407792
 -0.98518384 -1.0289751  ...
[ 2018-10-17 17:08:05,792 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,792 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,792 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,792 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,797 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.92900044 -1.1831608  -1.4418552  -1.205589   -1.0794283  -1.3407792
 -0.98518384 -1.0289751  ...
[ 2018-10-17 17:08:05,797 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,800 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.92900044 -1.1831608  -1.4418552  -1.205589   -1.0794283  -1.3407792
 -0.98518384 -1.0289751  ...
[ 2018-10-17 17:08:05,800 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,800 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,801 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,801 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,801 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,802 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[ 0.04235459 -0.02898365  0.00303761 ... -0.04338591  0.00951782
    -0.01057562]
   [ 0.03885...
[ 2018-10-17 17:08:05,802 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,802 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,802 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,802 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,803 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  384], value = [[[[ 0.04235459 -0.02898365  0.00303761 ... -0.04338591  0.00951782
    -0.01057562]
   [ 0.03885...
[ 2018-10-17 17:08:05,803 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,804 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[ 0.04235459 -0.02898365  0.00303761 ... -0.04338591  0.00951782
    -0.01057562]
   [ 0.03885...
[ 2018-10-17 17:08:05,804 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,804 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,804 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,804 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,804 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,806 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.21921016 0.17012991 0.21727262 0.16615568 0.17801617 0.22602247
 0.25330707 0.1674807  0.19382...
[ 2018-10-17 17:08:05,806 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,806 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,806 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,806 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,808 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [0.21921016 0.17012991 0.21727262 0.16615568 0.17801617 0.22602247
 0.25330707 0.1674807  0.19382...
[ 2018-10-17 17:08:05,808 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,809 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.21921016 0.17012991 0.21727262 0.16615568 0.17801617 0.22602247
 0.25330707 0.1674807  0.19382...
[ 2018-10-17 17:08:05,810 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,810 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,810 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,810 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,810 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,811 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.26547852 -0.37304515 -0.3055625  -0.3924644  -0.44401187 -0.331241
 -0.3655019  -0.7360713  -...
[ 2018-10-17 17:08:05,812 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,812 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,812 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,812 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,813 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.26547852 -0.37304515 -0.3055625  -0.3924644  -0.44401187 -0.331241
 -0.3655019  -0.7360713  -...
[ 2018-10-17 17:08:05,813 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,815 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.26547852 -0.37304515 -0.3055625  -0.3924644  -0.44401187 -0.331241
 -0.3655019  -0.7360713  -...
[ 2018-10-17 17:08:05,815 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,815 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,815 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,815 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,815 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,817 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.8221307  -1.141342   -0.91724503 -1.0794578  -1.0106285  -0.9125816
 -0.82209957 -0.99944377 ...
[ 2018-10-17 17:08:05,817 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,817 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,817 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,817 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,819 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.8221307  -1.141342   -0.91724503 -1.0794578  -1.0106285  -0.9125816
 -0.82209957 -0.99944377 ...
[ 2018-10-17 17:08:05,819 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,820 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.8221307  -1.141342   -0.91724503 -1.0794578  -1.0106285  -0.9125816
 -0.82209957 -0.99944377 ...
[ 2018-10-17 17:08:05,820 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,820 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:05,820 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,820 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,821 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,821 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.038119    0.00458187  0.02455819 ... -0.04238695  0.01035308
    -0.00291963]
   [-0.04649...
[ 2018-10-17 17:08:05,821 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,822 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:05,822 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,822 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,823 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  128], value = [[[[ 0.038119    0.00458187  0.02455819 ... -0.04238695  0.01035308
    -0.00291963]
   [-0.04649...
[ 2018-10-17 17:08:05,823 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,823 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.038119    0.00458187  0.02455819 ... -0.04238695  0.01035308
    -0.00291963]
   [-0.04649...
[ 2018-10-17 17:08:05,824 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,824 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,824 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,824 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,824 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,827 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.37425607 0.52253973 0.43403745 0.6042582  0.4450199  0.3202091
 0.38482404 0.63416153 0.614516...
[ 2018-10-17 17:08:05,827 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,827 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,827 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,827 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,830 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.37425607 0.52253973 0.43403745 0.6042582  0.4450199  0.3202091
 0.38482404 0.63416153 0.614516...
[ 2018-10-17 17:08:05,830 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,833 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.37425607 0.52253973 0.43403745 0.6042582  0.4450199  0.3202091
 0.38482404 0.63416153 0.614516...
[ 2018-10-17 17:08:05,833 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,833 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,833 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,834 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,834 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,836 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.63126504 -0.7137754  -1.2130759  -0.81068885 -0.3924593  -0.08227394
 -0.7867272  -0.76253086...
[ 2018-10-17 17:08:05,837 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,837 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,837 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,837 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,840 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.63126504 -0.7137754  -1.2130759  -0.81068885 -0.3924593  -0.08227394
 -0.7867272  -0.76253086...
[ 2018-10-17 17:08:05,840 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,842 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.63126504 -0.7137754  -1.2130759  -0.81068885 -0.3924593  -0.08227394
 -0.7867272  -0.76253086...
[ 2018-10-17 17:08:05,842 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,842 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
[ 2018-10-17 17:08:05,843 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,843 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,843 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,845 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.8255678  -0.607562   -1.1344693  -0.3788133  -1.0852089  -0.9405422
 -0.88603383 -0.5279005  ...
[ 2018-10-17 17:08:05,846 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,846 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:05,846 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,846 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,849 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.8255678  -0.607562   -1.1344693  -0.3788133  -1.0852089  -0.9405422
 -0.88603383 -0.5279005  ...
[ 2018-10-17 17:08:05,849 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,851 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.8255678  -0.607562   -1.1344693  -0.3788133  -1.0852089  -0.9405422
 -0.88603383 -0.5279005  ...
[ 2018-10-17 17:08:05,852 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,852 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/weights
[ 2018-10-17 17:08:05,852 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,852 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,852 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,855 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-0.02240791  0.01193094 -0.02449706 ... -0.00340324 -0.03678316
    -0.01976389]
   [ 0.01483...
[ 2018-10-17 17:08:05,855 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,855 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/weights/read
[ 2018-10-17 17:08:05,855 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,855 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,858 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 224 256], value = [[[[-0.02240791  0.01193094 -0.02449706 ... -0.00340324 -0.03678316
    -0.01976389]
   [ 0.01483...
[ 2018-10-17 17:08:05,858 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,860 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-0.02240791  0.01193094 -0.02449706 ... -0.00340324 -0.03678316
    -0.01976389]
   [ 0.01483...
[ 2018-10-17 17:08:05,861 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,861 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,861 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,861 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,861 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,863 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.37202632 0.3767381  0.21184349 0.16967902 0.34617165 0.42959544
 0.15766706 0.2077012  0.30047...
[ 2018-10-17 17:08:05,864 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,864 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,864 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,864 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,866 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.37202632 0.3767381  0.21184349 0.16967902 0.34617165 0.42959544
 0.15766706 0.2077012  0.30047...
[ 2018-10-17 17:08:05,866 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,869 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.37202632 0.3767381  0.21184349 0.16967902 0.34617165 0.42959544
 0.15766706 0.2077012  0.30047...
[ 2018-10-17 17:08:05,869 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,869 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,869 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,869 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,869 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,871 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.4367153  -0.5682845  -0.16426665 -0.38601407 -0.41730118 -0.41516057
 -0.41578186 -0.29841727...
[ 2018-10-17 17:08:05,872 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,872 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,872 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,872 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,874 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.4367153  -0.5682845  -0.16426665 -0.38601407 -0.41730118 -0.41516057
 -0.41578186 -0.29841727...
[ 2018-10-17 17:08:05,874 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,876 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.4367153  -0.5682845  -0.16426665 -0.38601407 -0.41730118 -0.41516057
 -0.41578186 -0.29841727...
[ 2018-10-17 17:08:05,877 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,877 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
[ 2018-10-17 17:08:05,877 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,877 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,877 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,879 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.24038622 -0.35922694 -0.88606256 -0.46349305 -0.31742924 -0.38519657
 -0.5287254  -0.6823969 ...
[ 2018-10-17 17:08:05,879 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,879 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,879 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,880 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,882 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.24038622 -0.35922694 -0.88606256 -0.46349305 -0.31742924 -0.38519657
 -0.5287254  -0.6823969 ...
[ 2018-10-17 17:08:05,882 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,884 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.24038622 -0.35922694 -0.88606256 -0.46349305 -0.31742924 -0.38519657
 -0.5287254  -0.6823969 ...
[ 2018-10-17 17:08:05,885 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,885 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/weights
[ 2018-10-17 17:08:05,885 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,885 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,885 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,888 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[ 0.01740289  0.02876579  0.01884879 ... -0.05111127  0.01085422
     0.01773127]
   [-0.02564...
[ 2018-10-17 17:08:05,888 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,888 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/weights/read
[ 2018-10-17 17:08:05,888 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,888 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,891 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 224], value = [[[[ 0.01740289  0.02876579  0.01884879 ... -0.05111127  0.01085422
     0.01773127]
   [-0.02564...
[ 2018-10-17 17:08:05,891 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,894 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[ 0.01740289  0.02876579  0.01884879 ... -0.05111127  0.01085422
     0.01773127]
   [-0.02564...
[ 2018-10-17 17:08:05,894 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,894 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,894 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,894 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,895 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,897 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.5291116  0.41190398 0.5221031  0.28077474 0.26400107 0.34248412
 0.37654632 0.40660632 0.12592...
[ 2018-10-17 17:08:05,897 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,897 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,897 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,898 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,900 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.5291116  0.41190398 0.5221031  0.28077474 0.26400107 0.34248412
 0.37654632 0.40660632 0.12592...
[ 2018-10-17 17:08:05,900 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,903 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.5291116  0.41190398 0.5221031  0.28077474 0.26400107 0.34248412
 0.37654632 0.40660632 0.12592...
[ 2018-10-17 17:08:05,903 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,903 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,903 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,903 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,903 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,905 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.43765745 -0.36881343 -0.84978265 -0.45906708 -0.32753897 -0.17239779
 -0.39952463 -0.40236944...
[ 2018-10-17 17:08:05,906 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,906 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,906 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,906 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,908 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.43765745 -0.36881343 -0.84978265 -0.45906708 -0.32753897 -0.17239779
 -0.39952463 -0.40236944...
[ 2018-10-17 17:08:05,908 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,910 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.43765745 -0.36881343 -0.84978265 -0.45906708 -0.32753897 -0.17239779
 -0.39952463 -0.40236944...
[ 2018-10-17 17:08:05,911 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,911 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
[ 2018-10-17 17:08:05,911 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,911 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,911 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,913 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.98745227 -0.8201308  -0.89960486 -1.0091894  -0.94462943 -0.96955925
 -0.9715164  -0.8491657 ...
[ 2018-10-17 17:08:05,913 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,913 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:05,914 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,914 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,916 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.98745227 -0.8201308  -0.89960486 -1.0091894  -0.94462943 -0.96955925
 -0.9715164  -0.8491657 ...
[ 2018-10-17 17:08:05,916 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,919 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.98745227 -0.8201308  -0.89960486 -1.0091894  -0.94462943 -0.96955925
 -0.9715164  -0.8491657 ...
[ 2018-10-17 17:08:05,919 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,919 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/weights
[ 2018-10-17 17:08:05,919 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,919 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,919 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,922 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 5.38490489e-02 -1.33818369e-02  1.40646575e-02 ...  4.79956232e-02
    -2.39030384e-02 -2.47...
[ 2018-10-17 17:08:05,922 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,922 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/weights/read
[ 2018-10-17 17:08:05,922 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,922 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,925 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 5.38490489e-02 -1.33818369e-02  1.40646575e-02 ...  4.79956232e-02
    -2.39030384e-02 -2.47...
[ 2018-10-17 17:08:05,925 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,927 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 5.38490489e-02 -1.33818369e-02  1.40646575e-02 ...  4.79956232e-02
    -2.39030384e-02 -2.47...
[ 2018-10-17 17:08:05,928 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,928 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,928 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,928 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,928 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,930 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [2.6088876e-01 6.0917604e-01 4.6608973e-01 8.3944643e-01 2.6376939e-01
 2.4669182e-01 2.5404057e-...
[ 2018-10-17 17:08:05,930 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,930 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,930 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,930 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,932 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [2.6088876e-01 6.0917604e-01 4.6608973e-01 8.3944643e-01 2.6376939e-01
 2.4669182e-01 2.5404057e-...
[ 2018-10-17 17:08:05,933 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,935 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [2.6088876e-01 6.0917604e-01 4.6608973e-01 8.3944643e-01 2.6376939e-01
 2.4669182e-01 2.5404057e-...
[ 2018-10-17 17:08:05,935 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,935 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,935 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,935 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,935 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,937 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-7.19078898e-01 -2.94719160e-01 -5.29200971e-01  1.18344605e-01
 -6.21494949e-01  1.95246145e-01...
[ 2018-10-17 17:08:05,938 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,938 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,938 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,938 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,940 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-7.19078898e-01 -2.94719160e-01 -5.29200971e-01  1.18344605e-01
 -6.21494949e-01  1.95246145e-01...
[ 2018-10-17 17:08:05,940 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,942 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-7.19078898e-01 -2.94719160e-01 -5.29200971e-01  1.18344605e-01
 -6.21494949e-01  1.95246145e-01...
[ 2018-10-17 17:08:05,943 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,943 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
[ 2018-10-17 17:08:05,943 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,943 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,943 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,945 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.86005855 -0.27466562 -0.20651543  0.16607171 -0.79404604 -0.6980742
 -0.5736476  -0.5458944  ...
[ 2018-10-17 17:08:05,945 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,945 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,946 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,946 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,948 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.86005855 -0.27466562 -0.20651543  0.16607171 -0.79404604 -0.6980742
 -0.5736476  -0.5458944  ...
[ 2018-10-17 17:08:05,948 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,950 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.86005855 -0.27466562 -0.20651543  0.16607171 -0.79404604 -0.6980742
 -0.5736476  -0.5458944  ...
[ 2018-10-17 17:08:05,950 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,950 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/weights
[ 2018-10-17 17:08:05,950 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,951 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,951 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,953 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[ 1.12526994e-02  7.12112756e-03  1.59254030e-03 ... -2.84935140e-05
    -9.00635682e-03 -2.85...
[ 2018-10-17 17:08:05,953 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,953 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/weights/read
[ 2018-10-17 17:08:05,954 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,954 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,956 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 192 192], value = [[[[ 1.12526994e-02  7.12112756e-03  1.59254030e-03 ... -2.84935140e-05
    -9.00635682e-03 -2.85...
[ 2018-10-17 17:08:05,956 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,959 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[ 1.12526994e-02  7.12112756e-03  1.59254030e-03 ... -2.84935140e-05
    -9.00635682e-03 -2.85...
[ 2018-10-17 17:08:05,959 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,959 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,959 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,959 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,959 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,961 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.26681134 0.25997618 0.18077144 0.34544423 0.18166897 0.31543976
 0.29610333 0.21100096 0.19551...
[ 2018-10-17 17:08:05,962 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,962 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,962 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,962 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,964 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.26681134 0.25997618 0.18077144 0.34544423 0.18166897 0.31543976
 0.29610333 0.21100096 0.19551...
[ 2018-10-17 17:08:05,964 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,966 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.26681134 0.25997618 0.18077144 0.34544423 0.18166897 0.31543976
 0.29610333 0.21100096 0.19551...
[ 2018-10-17 17:08:05,966 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,967 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,967 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,967 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,967 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,969 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.86182511e-01 -3.59355986e-01 -1.49041429e-01 -2.16462463e-01
 -4.85856384e-01 -1.98573753e-01...
[ 2018-10-17 17:08:05,969 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,969 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,969 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,970 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,972 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-4.86182511e-01 -3.59355986e-01 -1.49041429e-01 -2.16462463e-01
 -4.85856384e-01 -1.98573753e-01...
[ 2018-10-17 17:08:05,972 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,974 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.86182511e-01 -3.59355986e-01 -1.49041429e-01 -2.16462463e-01
 -4.85856384e-01 -1.98573753e-01...
[ 2018-10-17 17:08:05,974 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,974 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:05,974 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,975 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,975 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,977 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.77442026 -0.9045707  -1.2164929  -0.52683914 -1.1730564  -0.8280452
 -0.65653604 -1.1345694  ...
[ 2018-10-17 17:08:05,977 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,977 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:05,977 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,977 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,979 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.77442026 -0.9045707  -1.2164929  -0.52683914 -1.1730564  -0.8280452
 -0.65653604 -1.1345694  ...
[ 2018-10-17 17:08:05,980 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,982 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.77442026 -0.9045707  -1.2164929  -0.52683914 -1.1730564  -0.8280452
 -0.65653604 -1.1345694  ...
[ 2018-10-17 17:08:05,982 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,982 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:05,982 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,982 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,982 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,983 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.01952266 -0.00278416 -0.03156522 ... -0.03651115  0.02736326
    -0.01290906]
   [-0.02028...
[ 2018-10-17 17:08:05,983 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,983 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:05,983 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,983 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,984 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[ 0.01952266 -0.00278416 -0.03156522 ... -0.03651115  0.02736326
    -0.01290906]
   [-0.02028...
[ 2018-10-17 17:08:05,984 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,985 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.01952266 -0.00278416 -0.03156522 ... -0.03651115  0.02736326
    -0.01290906]
   [-0.02028...
[ 2018-10-17 17:08:05,985 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,985 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:05,985 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,985 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,986 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,988 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.2762717  0.19413255 0.2048065  0.2918133  0.30303708 0.32563064
 0.27090508 0.29138505 0.21531...
[ 2018-10-17 17:08:05,988 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,988 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:05,988 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,989 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,991 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.2762717  0.19413255 0.2048065  0.2918133  0.30303708 0.32563064
 0.27090508 0.29138505 0.21531...
[ 2018-10-17 17:08:05,991 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,994 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.2762717  0.19413255 0.2048065  0.2918133  0.30303708 0.32563064
 0.27090508 0.29138505 0.21531...
[ 2018-10-17 17:08:05,994 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,994 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:05,995 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:05,995 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:05,995 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:05,997 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [ 0.8762133  -0.24548708 -0.72340137 -0.5934708  -1.1430765  -0.9071878
 -0.2249607  -0.33712208 ...
[ 2018-10-17 17:08:05,998 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:05,998 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:05,998 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:05,998 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,000 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [ 0.8762133  -0.24548708 -0.72340137 -0.5934708  -1.1430765  -0.9071878
 -0.2249607  -0.33712208 ...
[ 2018-10-17 17:08:06,001 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,003 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [ 0.8762133  -0.24548708 -0.72340137 -0.5934708  -1.1430765  -0.9071878
 -0.2249607  -0.33712208 ...
[ 2018-10-17 17:08:06,003 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,003 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,003 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,003 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,003 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,006 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.3208297  -1.3056511  -1.149575   -0.87550044 -0.8939667  -0.775749
 -0.9894041  -0.8832191  -...
[ 2018-10-17 17:08:06,006 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,009 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,012 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,012 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,015 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-1.3208297  -1.3056511  -1.149575   -0.87550044 -0.8939667  -0.775749
 -0.9894041  -0.8832191  -...
[ 2018-10-17 17:08:06,015 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,018 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-1.3208297  -1.3056511  -1.149575   -0.87550044 -0.8939667  -0.775749
 -0.9894041  -0.8832191  -...
[ 2018-10-17 17:08:06,018 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,018 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:06,018 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,019 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,019 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,023 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 0.00488662  0.03357482  0.02311    ... -0.05605343  0.00124873
     0.0169978 ]
   [ 0.04605...
[ 2018-10-17 17:08:06,023 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,023 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:06,023 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,023 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,026 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 256], value = [[[[ 0.00488662  0.03357482  0.02311    ... -0.05605343  0.00124873
     0.0169978 ]
   [ 0.04605...
[ 2018-10-17 17:08:06,026 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,028 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 0.00488662  0.03357482  0.02311    ... -0.05605343  0.00124873
     0.0169978 ]
   [ 0.04605...
[ 2018-10-17 17:08:06,029 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,029 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,029 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,029 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,029 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,032 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [6.9669533e-01 5.1756668e-01 1.7904495e-01 1.4920805e-01 4.7036338e-01
 4.3761271e-01 2.0518208e-...
[ 2018-10-17 17:08:06,032 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,032 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,032 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,033 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,035 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [6.9669533e-01 5.1756668e-01 1.7904495e-01 1.4920805e-01 4.7036338e-01
 4.3761271e-01 2.0518208e-...
[ 2018-10-17 17:08:06,035 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,037 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [6.9669533e-01 5.1756668e-01 1.7904495e-01 1.4920805e-01 4.7036338e-01
 4.3761271e-01 2.0518208e-...
[ 2018-10-17 17:08:06,038 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,038 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,038 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,038 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,038 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,040 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-7.12191224e-01 -2.30294511e-01 -6.85754642e-02 -1.73497632e-01
 -5.02922339e-03 -9.47835863e-01...
[ 2018-10-17 17:08:06,040 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,041 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,041 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,041 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,043 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-7.12191224e-01 -2.30294511e-01 -6.85754642e-02 -1.73497632e-01
 -5.02922339e-03 -9.47835863e-01...
[ 2018-10-17 17:08:06,044 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,046 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-7.12191224e-01 -2.30294511e-01 -6.85754642e-02 -1.73497632e-01
 -5.02922339e-03 -9.47835863e-01...
[ 2018-10-17 17:08:06,046 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,046 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,046 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,046 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,046 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,049 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.11108212  0.07933892 -0.9410656  -1.0945936  -0.20602106 -0.66517425
 -0.856481   -0.80836666...
[ 2018-10-17 17:08:06,049 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,049 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,049 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,049 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,052 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.11108212  0.07933892 -0.9410656  -1.0945936  -0.20602106 -0.66517425
 -0.856481   -0.80836666...
[ 2018-10-17 17:08:06,052 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,054 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.11108212  0.07933892 -0.9410656  -1.0945936  -0.20602106 -0.66517425
 -0.856481   -0.80836666...
[ 2018-10-17 17:08:06,055 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,055 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:06,055 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,055 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,055 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,058 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 7.99081929e-04  1.23987412e-02 -3.96723710e-02 ...  1.50573933e-02
    -5.70580782e-03 -1.05...
[ 2018-10-17 17:08:06,058 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,059 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:06,059 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,059 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,061 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 7.99081929e-04  1.23987412e-02 -3.96723710e-02 ...  1.50573933e-02
    -5.70580782e-03 -1.05...
[ 2018-10-17 17:08:06,062 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,064 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 7.99081929e-04  1.23987412e-02 -3.96723710e-02 ...  1.50573933e-02
    -5.70580782e-03 -1.05...
[ 2018-10-17 17:08:06,064 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,064 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,064 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,065 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,065 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,066 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [3.8389537e-01 3.8143119e-01 1.9841094e-01 2.8745615e-01 2.5042963e-01
 3.5239995e-01 1.8866827e-...
[ 2018-10-17 17:08:06,067 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,067 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,067 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,067 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,069 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [3.8389537e-01 3.8143119e-01 1.9841094e-01 2.8745615e-01 2.5042963e-01
 3.5239995e-01 1.8866827e-...
[ 2018-10-17 17:08:06,069 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,071 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [3.8389537e-01 3.8143119e-01 1.9841094e-01 2.8745615e-01 2.5042963e-01
 3.5239995e-01 1.8866827e-...
[ 2018-10-17 17:08:06,072 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,072 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,072 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,072 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,072 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,074 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.37709540e-01  1.38952598e-01 -3.67373139e-01  3.69486064e-02
 -2.64839530e-01 -5.21430850e-01...
[ 2018-10-17 17:08:06,074 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,074 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,074 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,075 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,077 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-4.37709540e-01  1.38952598e-01 -3.67373139e-01  3.69486064e-02
 -2.64839530e-01 -5.21430850e-01...
[ 2018-10-17 17:08:06,077 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,079 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.37709540e-01  1.38952598e-01 -3.67373139e-01  3.69486064e-02
 -2.64839530e-01 -5.21430850e-01...
[ 2018-10-17 17:08:06,079 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,079 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,079 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,079 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,079 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,081 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.42934686 -0.7877924  -0.8190442  -0.9526011  -0.86335766 -0.6369908
 -1.0235023  -0.6044428  ...
[ 2018-10-17 17:08:06,081 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,081 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,081 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,082 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,084 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.42934686 -0.7877924  -0.8190442  -0.9526011  -0.86335766 -0.6369908
 -1.0235023  -0.6044428  ...
[ 2018-10-17 17:08:06,084 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,086 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.42934686 -0.7877924  -0.8190442  -0.9526011  -0.86335766 -0.6369908
 -1.0235023  -0.6044428  ...
[ 2018-10-17 17:08:06,086 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,086 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,087 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,087 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,087 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,088 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.03153727  0.00033638  0.02830292 ...  0.012332   -0.03654883
     0.00559943]
   [ 0.00742...
[ 2018-10-17 17:08:06,088 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,088 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,088 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,088 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,089 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-0.03153727  0.00033638  0.02830292 ...  0.012332   -0.03654883
     0.00559943]
   [ 0.00742...
[ 2018-10-17 17:08:06,089 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,090 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.03153727  0.00033638  0.02830292 ...  0.012332   -0.03654883
     0.00559943]
   [ 0.00742...
[ 2018-10-17 17:08:06,090 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,090 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,091 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,091 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,091 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,095 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.43836406 0.7510273  0.43847507 0.33654305 0.39717966 0.44958234
 0.287225   0.3220443  0.48984...
[ 2018-10-17 17:08:06,095 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,095 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,095 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,095 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,099 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.43836406 0.7510273  0.43847507 0.33654305 0.39717966 0.44958234
 0.287225   0.3220443  0.48984...
[ 2018-10-17 17:08:06,099 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,103 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.43836406 0.7510273  0.43847507 0.33654305 0.39717966 0.44958234
 0.287225   0.3220443  0.48984...
[ 2018-10-17 17:08:06,103 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,103 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,103 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,104 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,104 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,107 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.22078983 -0.29728314 -0.57249224 -0.5343742  -0.29404968 -0.5193728
 -0.26537305 -0.5097898  ...
[ 2018-10-17 17:08:06,108 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,108 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,108 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,108 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,112 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.22078983 -0.29728314 -0.57249224 -0.5343742  -0.29404968 -0.5193728
 -0.26537305 -0.5097898  ...
[ 2018-10-17 17:08:06,112 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,116 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.22078983 -0.29728314 -0.57249224 -0.5343742  -0.29404968 -0.5193728
 -0.26537305 -0.5097898  ...
[ 2018-10-17 17:08:06,116 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,116 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,117 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,117 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,117 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,120 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-1.210788   -0.4023575  -0.69046533 -0.6888477  -0.85115373 -0.6558727
 -0.9310955  -0.9572927  ...
[ 2018-10-17 17:08:06,121 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,121 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,121 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,121 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,125 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-1.210788   -0.4023575  -0.69046533 -0.6888477  -0.85115373 -0.6558727
 -0.9310955  -0.9572927  ...
[ 2018-10-17 17:08:06,126 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,130 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-1.210788   -0.4023575  -0.69046533 -0.6888477  -0.85115373 -0.6558727
 -0.9310955  -0.9572927  ...
[ 2018-10-17 17:08:06,130 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,130 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,130 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,131 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,131 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,131 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.00682518 -0.00901801 -0.00243676 ...  0.00085033 -0.05318396
     0.02843587]
   [-0.02029...
[ 2018-10-17 17:08:06,132 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,132 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,132 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,132 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,133 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  384], value = [[[[-0.00682518 -0.00901801 -0.00243676 ...  0.00085033 -0.05318396
     0.02843587]
   [-0.02029...
[ 2018-10-17 17:08:06,133 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,134 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.00682518 -0.00901801 -0.00243676 ...  0.00085033 -0.05318396
     0.02843587]
   [-0.02029...
[ 2018-10-17 17:08:06,134 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,134 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,134 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,134 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,134 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,136 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.40360692 0.20536338 0.32161593 0.82422614 0.22363603 0.15346643
 0.260559   0.254638   0.24997...
[ 2018-10-17 17:08:06,136 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,136 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,136 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,136 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,138 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [0.40360692 0.20536338 0.32161593 0.82422614 0.22363603 0.15346643
 0.260559   0.254638   0.24997...
[ 2018-10-17 17:08:06,138 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,139 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.40360692 0.20536338 0.32161593 0.82422614 0.22363603 0.15346643
 0.260559   0.254638   0.24997...
[ 2018-10-17 17:08:06,140 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,140 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,140 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,140 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,140 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,141 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.38051847 -0.15291698 -0.02161263  0.24699344 -0.37192938 -0.19162251
  0.11017725 -0.93132293...
[ 2018-10-17 17:08:06,142 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,142 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,142 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,142 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,143 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.38051847 -0.15291698 -0.02161263  0.24699344 -0.37192938 -0.19162251
  0.11017725 -0.93132293...
[ 2018-10-17 17:08:06,143 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,145 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.38051847 -0.15291698 -0.02161263  0.24699344 -0.37192938 -0.19162251
  0.11017725 -0.93132293...
[ 2018-10-17 17:08:06,145 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,145 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,145 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,145 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,146 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,147 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.53535247 -0.75470865 -0.7465612  -0.35146818 -0.8138639  -0.77144724
 -0.7940953  -0.73371494...
[ 2018-10-17 17:08:06,147 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,148 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,148 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,148 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,149 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.53535247 -0.75470865 -0.7465612  -0.35146818 -0.8138639  -0.77144724
 -0.7940953  -0.73371494...
[ 2018-10-17 17:08:06,149 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,151 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.53535247 -0.75470865 -0.7465612  -0.35146818 -0.8138639  -0.77144724
 -0.7940953  -0.73371494...
[ 2018-10-17 17:08:06,151 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,151 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:06,151 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,151 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,151 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,152 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.00109166 -0.02799479  0.04870388 ... -0.0274927  -0.04208478
    -0.03546005]
   [-0.00366...
[ 2018-10-17 17:08:06,152 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,152 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:06,152 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,153 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,153 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  128], value = [[[[ 0.00109166 -0.02799479  0.04870388 ... -0.0274927  -0.04208478
    -0.03546005]
   [-0.00366...
[ 2018-10-17 17:08:06,153 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,154 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.00109166 -0.02799479  0.04870388 ... -0.0274927  -0.04208478
    -0.03546005]
   [-0.00366...
[ 2018-10-17 17:08:06,154 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,154 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,154 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,155 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,155 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,158 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.58283556 0.3631334  0.30617744 0.44200858 0.41169265 0.22774494
 0.8551678  0.2252865  0.10188...
[ 2018-10-17 17:08:06,158 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,158 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,158 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,158 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,161 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.58283556 0.3631334  0.30617744 0.44200858 0.41169265 0.22774494
 0.8551678  0.2252865  0.10188...
[ 2018-10-17 17:08:06,161 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,164 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.58283556 0.3631334  0.30617744 0.44200858 0.41169265 0.22774494
 0.8551678  0.2252865  0.10188...
[ 2018-10-17 17:08:06,164 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,165 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,165 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,165 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,165 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,168 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-8.11771691e-01 -7.73234010e-01 -1.98256716e-01 -7.61465192e-01
 -9.32867825e-01 -2.60245502e-01...
[ 2018-10-17 17:08:06,168 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,168 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,168 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,168 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,171 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-8.11771691e-01 -7.73234010e-01 -1.98256716e-01 -7.61465192e-01
 -9.32867825e-01 -2.60245502e-01...
[ 2018-10-17 17:08:06,171 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,174 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-8.11771691e-01 -7.73234010e-01 -1.98256716e-01 -7.61465192e-01
 -9.32867825e-01 -2.60245502e-01...
[ 2018-10-17 17:08:06,175 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,175 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,175 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,175 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,175 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,178 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.9825897  -0.9796995  -0.8744164  -0.8100039  -0.85276365 -0.91512454
 -0.6501972  -1.0782437 ...
[ 2018-10-17 17:08:06,178 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,178 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,178 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,179 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,181 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.9825897  -0.9796995  -0.8744164  -0.8100039  -0.85276365 -0.91512454
 -0.6501972  -1.0782437 ...
[ 2018-10-17 17:08:06,181 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,184 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.9825897  -0.9796995  -0.8744164  -0.8100039  -0.85276365 -0.91512454
 -0.6501972  -1.0782437 ...
[ 2018-10-17 17:08:06,184 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,184 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/weights
[ 2018-10-17 17:08:06,184 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,184 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,184 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,187 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[ 1.98756084e-02 -1.35356728e-02 -1.56460255e-02 ...  4.77785105e-03
    -1.06250215e-02  3.71...
[ 2018-10-17 17:08:06,187 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,187 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/weights/read
[ 2018-10-17 17:08:06,187 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,187 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,190 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 224 256], value = [[[[ 1.98756084e-02 -1.35356728e-02 -1.56460255e-02 ...  4.77785105e-03
    -1.06250215e-02  3.71...
[ 2018-10-17 17:08:06,190 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,193 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[ 1.98756084e-02 -1.35356728e-02 -1.56460255e-02 ...  4.77785105e-03
    -1.06250215e-02  3.71...
[ 2018-10-17 17:08:06,193 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,194 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,194 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,194 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,194 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,196 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [4.5160386e-01 6.8454301e-01 3.1525585e-01 1.7681094e-01 5.1422232e-01
 2.8975767e-01 3.8905692e-...
[ 2018-10-17 17:08:06,196 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,196 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,196 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,197 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,199 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [4.5160386e-01 6.8454301e-01 3.1525585e-01 1.7681094e-01 5.1422232e-01
 2.8975767e-01 3.8905692e-...
[ 2018-10-17 17:08:06,199 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,201 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [4.5160386e-01 6.8454301e-01 3.1525585e-01 1.7681094e-01 5.1422232e-01
 2.8975767e-01 3.8905692e-...
[ 2018-10-17 17:08:06,201 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,201 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,201 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,201 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,202 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,204 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-3.85577649e-01 -5.26338160e-01 -3.53899598e-01 -4.47500020e-01
 -3.20069969e-01 -5.05039155e-01...
[ 2018-10-17 17:08:06,204 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,204 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,204 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,204 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,207 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-3.85577649e-01 -5.26338160e-01 -3.53899598e-01 -4.47500020e-01
 -3.20069969e-01 -5.05039155e-01...
[ 2018-10-17 17:08:06,207 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,209 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-3.85577649e-01 -5.26338160e-01 -3.53899598e-01 -4.47500020e-01
 -3.20069969e-01 -5.05039155e-01...
[ 2018-10-17 17:08:06,210 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,210 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,210 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,210 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,210 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,213 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.04916668 -0.39837527 -0.5576643  -0.726765   -0.6130682  -0.4940165
 -0.4144212  -0.6552233  ...
[ 2018-10-17 17:08:06,213 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,213 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,213 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,214 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,216 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.04916668 -0.39837527 -0.5576643  -0.726765   -0.6130682  -0.4940165
 -0.4144212  -0.6552233  ...
[ 2018-10-17 17:08:06,216 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,219 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.04916668 -0.39837527 -0.5576643  -0.726765   -0.6130682  -0.4940165
 -0.4144212  -0.6552233  ...
[ 2018-10-17 17:08:06,219 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,219 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/weights
[ 2018-10-17 17:08:06,219 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,219 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,219 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,222 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[ 0.01193981  0.00557454  0.03221761 ... -0.00087812  0.00434915
    -0.01362814]
   [-0.00563...
[ 2018-10-17 17:08:06,222 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,222 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/weights/read
[ 2018-10-17 17:08:06,222 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,222 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,225 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 224], value = [[[[ 0.01193981  0.00557454  0.03221761 ... -0.00087812  0.00434915
    -0.01362814]
   [-0.00563...
[ 2018-10-17 17:08:06,225 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,228 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[ 0.01193981  0.00557454  0.03221761 ... -0.00087812  0.00434915
    -0.01362814]
   [-0.00563...
[ 2018-10-17 17:08:06,228 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,228 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,228 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,228 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,228 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,231 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.18356708 0.2880481  0.57985073 0.5206259  0.43587837 0.25155276
 0.50272983 0.38194233 1.12247...
[ 2018-10-17 17:08:06,231 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,231 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,231 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,231 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,233 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.18356708 0.2880481  0.57985073 0.5206259  0.43587837 0.25155276
 0.50272983 0.38194233 1.12247...
[ 2018-10-17 17:08:06,233 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,236 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.18356708 0.2880481  0.57985073 0.5206259  0.43587837 0.25155276
 0.50272983 0.38194233 1.12247...
[ 2018-10-17 17:08:06,236 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,236 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,236 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,236 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,236 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,239 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-7.5738907e-01 -8.5419309e-01 -6.8738741e-01 -4.2503074e-01
 -1.5275498e-01 -1.1046116e+00 -4.35...
[ 2018-10-17 17:08:06,239 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,239 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,239 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,240 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,242 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-7.5738907e-01 -8.5419309e-01 -6.8738741e-01 -4.2503074e-01
 -1.5275498e-01 -1.1046116e+00 -4.35...
[ 2018-10-17 17:08:06,242 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,245 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-7.5738907e-01 -8.5419309e-01 -6.8738741e-01 -4.2503074e-01
 -1.5275498e-01 -1.1046116e+00 -4.35...
[ 2018-10-17 17:08:06,245 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,245 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,246 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,246 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,246 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,248 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.6979488  -0.49238923 -0.36528888 -0.74417824 -0.6149591  -0.6499399
 -0.07144434 -0.5367925  ...
[ 2018-10-17 17:08:06,248 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,249 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,249 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,249 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,251 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.6979488  -0.49238923 -0.36528888 -0.74417824 -0.6149591  -0.6499399
 -0.07144434 -0.5367925  ...
[ 2018-10-17 17:08:06,251 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,254 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.6979488  -0.49238923 -0.36528888 -0.74417824 -0.6149591  -0.6499399
 -0.07144434 -0.5367925  ...
[ 2018-10-17 17:08:06,254 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,254 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/weights
[ 2018-10-17 17:08:06,254 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,254 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,254 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,257 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 3.05963145e-03  3.16167227e-03  2.34009349e-03 ... -2.47824024e-02
    -4.55685072e-02 -1.65...
[ 2018-10-17 17:08:06,257 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,257 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/weights/read
[ 2018-10-17 17:08:06,258 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,258 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,261 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 3.05963145e-03  3.16167227e-03  2.34009349e-03 ... -2.47824024e-02
    -4.55685072e-02 -1.65...
[ 2018-10-17 17:08:06,261 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,263 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 3.05963145e-03  3.16167227e-03  2.34009349e-03 ... -2.47824024e-02
    -4.55685072e-02 -1.65...
[ 2018-10-17 17:08:06,264 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,264 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,264 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,264 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,264 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,266 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.5885897  0.8353226  0.19556725 0.24970883 0.27366439 0.34226263
 0.3475823  0.29246292 0.24134...
[ 2018-10-17 17:08:06,266 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,266 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,266 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,267 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,269 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.5885897  0.8353226  0.19556725 0.24970883 0.27366439 0.34226263
 0.3475823  0.29246292 0.24134...
[ 2018-10-17 17:08:06,269 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,271 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.5885897  0.8353226  0.19556725 0.24970883 0.27366439 0.34226263
 0.3475823  0.29246292 0.24134...
[ 2018-10-17 17:08:06,271 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,271 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,272 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,272 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,272 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,274 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5551416   0.7032608  -0.44519368 -0.07272501  0.06014137 -0.8248033
 -0.4864548  -0.12006804 ...
[ 2018-10-17 17:08:06,274 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,275 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,275 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,275 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,277 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.5551416   0.7032608  -0.44519368 -0.07272501  0.06014137 -0.8248033
 -0.4864548  -0.12006804 ...
[ 2018-10-17 17:08:06,277 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,279 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5551416   0.7032608  -0.44519368 -0.07272501  0.06014137 -0.8248033
 -0.4864548  -0.12006804 ...
[ 2018-10-17 17:08:06,279 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,280 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,280 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,280 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,280 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,282 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.08330446  0.07482103 -0.6766875  -0.5837047  -0.43543518 -0.20745604
 -0.72925246 -0.32484534...
[ 2018-10-17 17:08:06,282 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,282 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,282 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,283 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,285 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.08330446  0.07482103 -0.6766875  -0.5837047  -0.43543518 -0.20745604
 -0.72925246 -0.32484534...
[ 2018-10-17 17:08:06,285 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,287 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.08330446  0.07482103 -0.6766875  -0.5837047  -0.43543518 -0.20745604
 -0.72925246 -0.32484534...
[ 2018-10-17 17:08:06,287 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,287 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/weights
[ 2018-10-17 17:08:06,287 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,288 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,288 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,291 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-1.18311187e-02 -8.75449460e-03 -2.76896474e-03 ... -9.79020074e-03
    -1.40090147e-02 -1.14...
[ 2018-10-17 17:08:06,291 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,291 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/weights/read
[ 2018-10-17 17:08:06,291 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,291 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,294 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 192 192], value = [[[[-1.18311187e-02 -8.75449460e-03 -2.76896474e-03 ... -9.79020074e-03
    -1.40090147e-02 -1.14...
[ 2018-10-17 17:08:06,294 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,296 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-1.18311187e-02 -8.75449460e-03 -2.76896474e-03 ... -9.79020074e-03
    -1.40090147e-02 -1.14...
[ 2018-10-17 17:08:06,296 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,296 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,297 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,297 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,297 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,299 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.18958348 0.2819335  0.45372832 0.25205496 0.23003691 0.23164357
 0.14417903 0.26234937 0.07853...
[ 2018-10-17 17:08:06,299 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,299 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,299 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,299 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,301 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.18958348 0.2819335  0.45372832 0.25205496 0.23003691 0.23164357
 0.14417903 0.26234937 0.07853...
[ 2018-10-17 17:08:06,301 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,303 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.18958348 0.2819335  0.45372832 0.25205496 0.23003691 0.23164357
 0.14417903 0.26234937 0.07853...
[ 2018-10-17 17:08:06,304 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,304 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,304 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,304 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,304 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,306 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 0.70956564 -0.6692426  -0.19843203 -0.12395231 -0.10440236  0.07925034
 -0.1896841  -0.08054046...
[ 2018-10-17 17:08:06,307 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,307 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,307 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,307 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,309 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [ 0.70956564 -0.6692426  -0.19843203 -0.12395231 -0.10440236  0.07925034
 -0.1896841  -0.08054046...
[ 2018-10-17 17:08:06,309 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,311 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 0.70956564 -0.6692426  -0.19843203 -0.12395231 -0.10440236  0.07925034
 -0.1896841  -0.08054046...
[ 2018-10-17 17:08:06,311 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,311 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,311 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,311 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,311 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,313 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.68672013 -0.63596064 -0.11285617 -0.41420528 -0.5305775  -0.15549557
 -0.5688233  -0.6184241 ...
[ 2018-10-17 17:08:06,313 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,314 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,314 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,314 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,316 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.68672013 -0.63596064 -0.11285617 -0.41420528 -0.5305775  -0.15549557
 -0.5688233  -0.6184241 ...
[ 2018-10-17 17:08:06,316 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,318 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.68672013 -0.63596064 -0.11285617 -0.41420528 -0.5305775  -0.15549557
 -0.5688233  -0.6184241 ...
[ 2018-10-17 17:08:06,318 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,318 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,318 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,318 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,318 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,319 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.01117759 -0.00547974  0.00931785 ... -0.01464449  0.00450203
    -0.01769217]
   [ 0.03634...
[ 2018-10-17 17:08:06,319 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,319 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,320 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,320 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,320 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[ 0.01117759 -0.00547974  0.00931785 ... -0.01464449  0.00450203
    -0.01769217]
   [ 0.03634...
[ 2018-10-17 17:08:06,321 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,321 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.01117759 -0.00547974  0.00931785 ... -0.01464449  0.00450203
    -0.01769217]
   [ 0.03634...
[ 2018-10-17 17:08:06,322 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,322 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,322 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,322 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,322 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,325 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.22064315 0.34567168 0.31572852 0.31489328 0.27581182 0.2661688
 0.28485975 0.3372713  0.389584...
[ 2018-10-17 17:08:06,325 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,325 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,325 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,325 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,328 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.22064315 0.34567168 0.31572852 0.31489328 0.27581182 0.2661688
 0.28485975 0.3372713  0.389584...
[ 2018-10-17 17:08:06,328 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,331 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.22064315 0.34567168 0.31572852 0.31489328 0.27581182 0.2661688
 0.28485975 0.3372713  0.389584...
[ 2018-10-17 17:08:06,331 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,331 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,331 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,332 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,332 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,334 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-8.35969567e-01 -2.54135787e-01 -6.00558743e-02 -6.16472840e-01
 -5.32597423e-01 -2.79049158e-01...
[ 2018-10-17 17:08:06,334 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,334 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,335 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,335 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,337 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-8.35969567e-01 -2.54135787e-01 -6.00558743e-02 -6.16472840e-01
 -5.32597423e-01 -2.79049158e-01...
[ 2018-10-17 17:08:06,337 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,340 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-8.35969567e-01 -2.54135787e-01 -6.00558743e-02 -6.16472840e-01
 -5.32597423e-01 -2.79049158e-01...
[ 2018-10-17 17:08:06,340 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,340 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,340 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,340 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,340 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,343 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7266054  -0.8332614  -0.61451834 -0.6965172  -0.61309326 -1.1326439
 -0.7410933  -0.7080532  ...
[ 2018-10-17 17:08:06,343 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,343 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,343 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,343 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,346 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.7266054  -0.8332614  -0.61451834 -0.6965172  -0.61309326 -1.1326439
 -0.7410933  -0.7080532  ...
[ 2018-10-17 17:08:06,346 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,349 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7266054  -0.8332614  -0.61451834 -0.6965172  -0.61309326 -1.1326439
 -0.7410933  -0.7080532  ...
[ 2018-10-17 17:08:06,349 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,349 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:06,349 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,349 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,350 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,352 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 5.39263850e-03  2.99869850e-03 -3.36828583e-04 ...  1.60159562e-02
    -4.52516787e-03 -2.67...
[ 2018-10-17 17:08:06,352 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,352 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:06,352 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,353 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,355 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 256], value = [[[[ 5.39263850e-03  2.99869850e-03 -3.36828583e-04 ...  1.60159562e-02
    -4.52516787e-03 -2.67...
[ 2018-10-17 17:08:06,355 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,358 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 5.39263850e-03  2.99869850e-03 -3.36828583e-04 ...  1.60159562e-02
    -4.52516787e-03 -2.67...
[ 2018-10-17 17:08:06,358 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,358 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,358 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,359 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,359 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,361 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [5.7817096e-01 2.4896133e-01 2.6355955e-01 2.4119149e-01 2.6239809e-01
 3.3498704e-01 3.8188943e-...
[ 2018-10-17 17:08:06,361 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,361 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,361 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,361 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,364 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [5.7817096e-01 2.4896133e-01 2.6355955e-01 2.4119149e-01 2.6239809e-01
 3.3498704e-01 3.8188943e-...
[ 2018-10-17 17:08:06,364 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,366 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [5.7817096e-01 2.4896133e-01 2.6355955e-01 2.4119149e-01 2.6239809e-01
 3.3498704e-01 3.8188943e-...
[ 2018-10-17 17:08:06,366 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,366 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,366 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,366 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,366 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,369 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-4.65792954e-01 -5.10231793e-01  1.96520407e-02 -4.71956849e-01
 -9.31070685e-01  4.36899215e-01...
[ 2018-10-17 17:08:06,369 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,369 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,369 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,370 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,372 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-4.65792954e-01 -5.10231793e-01  1.96520407e-02 -4.71956849e-01
 -9.31070685e-01  4.36899215e-01...
[ 2018-10-17 17:08:06,372 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,374 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-4.65792954e-01 -5.10231793e-01  1.96520407e-02 -4.71956849e-01
 -9.31070685e-01  4.36899215e-01...
[ 2018-10-17 17:08:06,375 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,375 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,375 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,375 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,375 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,377 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.06028938 -0.75635767 -0.8599872  -0.70362955 -0.7449689  -0.6298335
 -0.44867265 -0.1721379  ...
[ 2018-10-17 17:08:06,377 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,377 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,377 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,378 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,380 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.06028938 -0.75635767 -0.8599872  -0.70362955 -0.7449689  -0.6298335
 -0.44867265 -0.1721379  ...
[ 2018-10-17 17:08:06,380 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,382 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.06028938 -0.75635767 -0.8599872  -0.70362955 -0.7449689  -0.6298335
 -0.44867265 -0.1721379  ...
[ 2018-10-17 17:08:06,382 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,382 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:06,382 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,382 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,383 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,385 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-8.57112370e-03  2.01246724e-03 -2.43519992e-02 ...  1.32912938e-02
    -3.38864364e-02 -2.48...
[ 2018-10-17 17:08:06,386 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,386 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:06,386 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,386 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,389 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[-8.57112370e-03  2.01246724e-03 -2.43519992e-02 ...  1.32912938e-02
    -3.38864364e-02 -2.48...
[ 2018-10-17 17:08:06,389 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,392 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-8.57112370e-03  2.01246724e-03 -2.43519992e-02 ...  1.32912938e-02
    -3.38864364e-02 -2.48...
[ 2018-10-17 17:08:06,392 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,392 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,392 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,392 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,393 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,395 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.27675483 0.34434444 0.40184557 0.42596957 0.2774336  0.325822
 0.3067766  0.42175773 0.4164346...
[ 2018-10-17 17:08:06,395 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,395 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,395 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,395 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,397 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.27675483 0.34434444 0.40184557 0.42596957 0.2774336  0.325822
 0.3067766  0.42175773 0.4164346...
[ 2018-10-17 17:08:06,398 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,400 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.27675483 0.34434444 0.40184557 0.42596957 0.2774336  0.325822
 0.3067766  0.42175773 0.4164346...
[ 2018-10-17 17:08:06,400 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,400 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,400 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,401 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,401 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,405 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.24726829 -0.689924   -0.4422387  -0.4623296  -0.5228235  -0.02624821
 -0.02020057 -0.20898953...
[ 2018-10-17 17:08:06,405 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,405 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,405 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,405 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,408 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.24726829 -0.689924   -0.4422387  -0.4623296  -0.5228235  -0.02624821
 -0.02020057 -0.20898953...
[ 2018-10-17 17:08:06,408 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,410 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.24726829 -0.689924   -0.4422387  -0.4623296  -0.5228235  -0.02624821
 -0.02020057 -0.20898953...
[ 2018-10-17 17:08:06,410 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,410 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,410 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,410 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,410 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,412 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.776784   -0.62435883 -0.6575866  -0.82252824 -0.6713411  -0.6809943
 -0.9121155  -0.6369574  ...
[ 2018-10-17 17:08:06,413 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,413 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,413 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,413 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,415 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.776784   -0.62435883 -0.6575866  -0.82252824 -0.6713411  -0.6809943
 -0.9121155  -0.6369574  ...
[ 2018-10-17 17:08:06,415 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,418 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.776784   -0.62435883 -0.6575866  -0.82252824 -0.6713411  -0.6809943
 -0.9121155  -0.6369574  ...
[ 2018-10-17 17:08:06,418 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,418 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,418 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,418 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,418 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,419 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.00034187  0.0092688  -0.00207975 ...  0.00069697 -0.00258254
    -0.03196683]
   [ 0.01322...
[ 2018-10-17 17:08:06,419 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,419 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,419 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,420 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,420 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[ 0.00034187  0.0092688  -0.00207975 ...  0.00069697 -0.00258254
    -0.03196683]
   [ 0.01322...
[ 2018-10-17 17:08:06,420 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,421 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.00034187  0.0092688  -0.00207975 ...  0.00069697 -0.00258254
    -0.03196683]
   [ 0.01322...
[ 2018-10-17 17:08:06,421 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,421 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,421 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,422 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,422 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,425 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.71233815 1.1680067  0.59851885 0.7256577  0.5636147  0.6195731
 0.73655975 0.53425056 0.465477...
[ 2018-10-17 17:08:06,426 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,426 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,426 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,426 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,430 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.71233815 1.1680067  0.59851885 0.7256577  0.5636147  0.6195731
 0.73655975 0.53425056 0.465477...
[ 2018-10-17 17:08:06,430 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,434 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.71233815 1.1680067  0.59851885 0.7256577  0.5636147  0.6195731
 0.73655975 0.53425056 0.465477...
[ 2018-10-17 17:08:06,434 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,434 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,434 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,434 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,434 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,438 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-5.95443010e-01 -5.91662765e-01  5.12685597e-01 -5.63668847e-01
 -8.72433186e-01  5.33381961e-02...
[ 2018-10-17 17:08:06,438 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,438 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,439 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,439 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,443 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-5.95443010e-01 -5.91662765e-01  5.12685597e-01 -5.63668847e-01
 -8.72433186e-01  5.33381961e-02...
[ 2018-10-17 17:08:06,443 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,447 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-5.95443010e-01 -5.91662765e-01  5.12685597e-01 -5.63668847e-01
 -8.72433186e-01  5.33381961e-02...
[ 2018-10-17 17:08:06,448 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,449 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,449 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,449 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,449 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,453 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.45429754 -0.35244352 -0.42269015 -0.48359942 -0.56976324 -0.24033165
 -0.33401442 -0.39098516...
[ 2018-10-17 17:08:06,453 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,453 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,454 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,454 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,458 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.45429754 -0.35244352 -0.42269015 -0.48359942 -0.56976324 -0.24033165
 -0.33401442 -0.39098516...
[ 2018-10-17 17:08:06,458 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,462 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.45429754 -0.35244352 -0.42269015 -0.48359942 -0.56976324 -0.24033165
 -0.33401442 -0.39098516...
[ 2018-10-17 17:08:06,462 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,462 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,462 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,462 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,463 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,463 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.00610038 -0.0305419  -0.04175493 ...  0.01637043 -0.05027714
     0.01777735]
   [ 0.00047...
[ 2018-10-17 17:08:06,464 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,464 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,464 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,464 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,465 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  384], value = [[[[-0.00610038 -0.0305419  -0.04175493 ...  0.01637043 -0.05027714
     0.01777735]
   [ 0.00047...
[ 2018-10-17 17:08:06,465 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,465 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.00610038 -0.0305419  -0.04175493 ...  0.01637043 -0.05027714
     0.01777735]
   [ 0.00047...
[ 2018-10-17 17:08:06,466 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,466 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,466 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,466 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,466 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,467 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.22034627 0.16224587 0.16442336 0.14579207 0.14312321 0.33587947
 0.18786792 0.24321151 0.23323...
[ 2018-10-17 17:08:06,468 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,468 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,468 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,468 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,469 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [0.22034627 0.16224587 0.16442336 0.14579207 0.14312321 0.33587947
 0.18786792 0.24321151 0.23323...
[ 2018-10-17 17:08:06,469 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,471 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.22034627 0.16224587 0.16442336 0.14579207 0.14312321 0.33587947
 0.18786792 0.24321151 0.23323...
[ 2018-10-17 17:08:06,471 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,471 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,471 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,471 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,471 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,473 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.14939396 -0.18255179  0.12322496 -0.29494208  0.23760694 -0.4645966
 -0.5960076   0.14741638 ...
[ 2018-10-17 17:08:06,473 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,473 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,473 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,473 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,475 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.14939396 -0.18255179  0.12322496 -0.29494208  0.23760694 -0.4645966
 -0.5960076   0.14741638 ...
[ 2018-10-17 17:08:06,475 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,476 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.14939396 -0.18255179  0.12322496 -0.29494208  0.23760694 -0.4645966
 -0.5960076   0.14741638 ...
[ 2018-10-17 17:08:06,477 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,477 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,477 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,477 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,477 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,479 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.438631   -0.27095065 -0.53192955 -0.5282774  -0.56163263  0.02851919
 -0.39916465 -0.39295954...
[ 2018-10-17 17:08:06,479 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,479 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,479 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,480 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,481 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.438631   -0.27095065 -0.53192955 -0.5282774  -0.56163263  0.02851919
 -0.39916465 -0.39295954...
[ 2018-10-17 17:08:06,481 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,484 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.438631   -0.27095065 -0.53192955 -0.5282774  -0.56163263  0.02851919
 -0.39916465 -0.39295954...
[ 2018-10-17 17:08:06,484 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,485 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:06,485 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,485 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,485 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,486 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.02277843 -0.02701094 -0.00692881 ... -0.04573208  0.0032959
     0.07063334]
   [ 0.053055...
[ 2018-10-17 17:08:06,486 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,486 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:06,486 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,486 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,487 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  128], value = [[[[ 0.02277843 -0.02701094 -0.00692881 ... -0.04573208  0.0032959
     0.07063334]
   [ 0.053055...
[ 2018-10-17 17:08:06,487 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,488 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.02277843 -0.02701094 -0.00692881 ... -0.04573208  0.0032959
     0.07063334]
   [ 0.053055...
[ 2018-10-17 17:08:06,488 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,488 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,488 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,488 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,489 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,491 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [2.0167718  0.9202282  0.33452937 0.7338307  0.8267781  4.0667586
 0.8437784  1.188633   4.268137...
[ 2018-10-17 17:08:06,491 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,492 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,492 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,492 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,494 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [2.0167718  0.9202282  0.33452937 0.7338307  0.8267781  4.0667586
 0.8437784  1.188633   4.268137...
[ 2018-10-17 17:08:06,494 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,497 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [2.0167718  0.9202282  0.33452937 0.7338307  0.8267781  4.0667586
 0.8437784  1.188633   4.268137...
[ 2018-10-17 17:08:06,498 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,498 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,498 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,498 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,498 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,501 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-9.93201494e-01 -5.05294621e-01 -2.54260093e-01 -5.49939454e-01
  5.32976687e-02 -8.76435459e-01...
[ 2018-10-17 17:08:06,501 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,501 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,501 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,501 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,504 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-9.93201494e-01 -5.05294621e-01 -2.54260093e-01 -5.49939454e-01
  5.32976687e-02 -8.76435459e-01...
[ 2018-10-17 17:08:06,504 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,507 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-9.93201494e-01 -5.05294621e-01 -2.54260093e-01 -5.49939454e-01
  5.32976687e-02 -8.76435459e-01...
[ 2018-10-17 17:08:06,507 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,507 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,507 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,507 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,507 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,510 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.4506661  -0.4062155  -0.6300238  -0.39250985 -0.53839314  0.0556464
 -0.74702054 -0.43635604 ...
[ 2018-10-17 17:08:06,510 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,510 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,510 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,510 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,513 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.4506661  -0.4062155  -0.6300238  -0.39250985 -0.53839314  0.0556464
 -0.74702054 -0.43635604 ...
[ 2018-10-17 17:08:06,513 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,515 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.4506661  -0.4062155  -0.6300238  -0.39250985 -0.53839314  0.0556464
 -0.74702054 -0.43635604 ...
[ 2018-10-17 17:08:06,516 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,516 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/weights
[ 2018-10-17 17:08:06,516 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,516 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,516 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,519 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-6.36861147e-03 -1.06504774e-02 -4.61574318e-03 ...  1.00710173e-03
    -3.81715992e-03  9.35...
[ 2018-10-17 17:08:06,519 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,519 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/weights/read
[ 2018-10-17 17:08:06,519 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,519 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,522 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 224 256], value = [[[[-6.36861147e-03 -1.06504774e-02 -4.61574318e-03 ...  1.00710173e-03
    -3.81715992e-03  9.35...
[ 2018-10-17 17:08:06,522 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,524 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-6.36861147e-03 -1.06504774e-02 -4.61574318e-03 ...  1.00710173e-03
    -3.81715992e-03  9.35...
[ 2018-10-17 17:08:06,525 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,525 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,525 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,525 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,525 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,527 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.55577826 0.13074934 0.21495537 0.35952327 0.34693992 0.24472721
 0.37770277 0.5081718  0.27491...
[ 2018-10-17 17:08:06,527 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,528 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,528 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,528 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,530 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.55577826 0.13074934 0.21495537 0.35952327 0.34693992 0.24472721
 0.37770277 0.5081718  0.27491...
[ 2018-10-17 17:08:06,530 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,533 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.55577826 0.13074934 0.21495537 0.35952327 0.34693992 0.24472721
 0.37770277 0.5081718  0.27491...
[ 2018-10-17 17:08:06,533 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,533 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,533 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,533 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,533 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,536 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 3.00406199e-03  6.80884346e-02  2.26409510e-01 -2.85778437e-02
 -1.79301351e-01  1.65078893e-01...
[ 2018-10-17 17:08:06,536 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,536 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,536 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,536 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,538 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [ 3.00406199e-03  6.80884346e-02  2.26409510e-01 -2.85778437e-02
 -1.79301351e-01  1.65078893e-01...
[ 2018-10-17 17:08:06,538 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,541 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 3.00406199e-03  6.80884346e-02  2.26409510e-01 -2.85778437e-02
 -1.79301351e-01  1.65078893e-01...
[ 2018-10-17 17:08:06,541 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,541 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,541 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,541 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,542 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,544 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.65294498e-01 -4.47740942e-01 -4.11671758e-01 -4.35081214e-01
  5.58430701e-02 -5.11174738e-01...
[ 2018-10-17 17:08:06,544 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,544 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,544 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,545 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,547 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-1.65294498e-01 -4.47740942e-01 -4.11671758e-01 -4.35081214e-01
  5.58430701e-02 -5.11174738e-01...
[ 2018-10-17 17:08:06,547 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,550 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.65294498e-01 -4.47740942e-01 -4.11671758e-01 -4.35081214e-01
  5.58430701e-02 -5.11174738e-01...
[ 2018-10-17 17:08:06,550 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,550 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/weights
[ 2018-10-17 17:08:06,550 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,550 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,550 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,553 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-8.06949008e-03 -1.42318255e-03  9.83863021e-04 ...  3.76987853e-03
    -8.89374467e-04  1.64...
[ 2018-10-17 17:08:06,553 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,553 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/weights/read
[ 2018-10-17 17:08:06,553 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,553 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,556 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 224], value = [[[[-8.06949008e-03 -1.42318255e-03  9.83863021e-04 ...  3.76987853e-03
    -8.89374467e-04  1.64...
[ 2018-10-17 17:08:06,556 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,559 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-8.06949008e-03 -1.42318255e-03  9.83863021e-04 ...  3.76987853e-03
    -8.89374467e-04  1.64...
[ 2018-10-17 17:08:06,559 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,559 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,559 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,559 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,559 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,562 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.15611894 0.22068435 0.29460636 0.2735256  0.15926681 0.20724623
 0.32718292 0.14155352 0.57632...
[ 2018-10-17 17:08:06,562 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,562 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,562 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,562 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,564 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.15611894 0.22068435 0.29460636 0.2735256  0.15926681 0.20724623
 0.32718292 0.14155352 0.57632...
[ 2018-10-17 17:08:06,564 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,567 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.15611894 0.22068435 0.29460636 0.2735256  0.15926681 0.20724623
 0.32718292 0.14155352 0.57632...
[ 2018-10-17 17:08:06,567 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,567 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,567 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,567 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,567 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,570 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.21443045 -0.14651954 -0.6190677  -0.42696515 -0.49205688 -0.05506479
  0.12280675 -0.36274296...
[ 2018-10-17 17:08:06,570 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,570 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,570 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,571 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,573 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.21443045 -0.14651954 -0.6190677  -0.42696515 -0.49205688 -0.05506479
  0.12280675 -0.36274296...
[ 2018-10-17 17:08:06,573 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,575 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.21443045 -0.14651954 -0.6190677  -0.42696515 -0.49205688 -0.05506479
  0.12280675 -0.36274296...
[ 2018-10-17 17:08:06,575 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,575 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,575 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,576 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,576 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,578 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.3419923  -0.24627581 -0.1033037  -0.00600467 -0.45196185 -0.27540225
 -0.09984641 -0.47190133...
[ 2018-10-17 17:08:06,578 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,578 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,578 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,578 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,580 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.3419923  -0.24627581 -0.1033037  -0.00600467 -0.45196185 -0.27540225
 -0.09984641 -0.47190133...
[ 2018-10-17 17:08:06,581 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,583 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.3419923  -0.24627581 -0.1033037  -0.00600467 -0.45196185 -0.27540225
 -0.09984641 -0.47190133...
[ 2018-10-17 17:08:06,583 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,583 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/weights
[ 2018-10-17 17:08:06,583 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,583 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,584 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,586 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-4.74377722e-03  3.48722236e-03 -1.44028687e-04 ...  4.42882115e-03
     2.77093588e-03  4.69...
[ 2018-10-17 17:08:06,586 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,586 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/weights/read
[ 2018-10-17 17:08:06,586 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,587 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,589 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[-4.74377722e-03  3.48722236e-03 -1.44028687e-04 ...  4.42882115e-03
     2.77093588e-03  4.69...
[ 2018-10-17 17:08:06,589 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,592 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-4.74377722e-03  3.48722236e-03 -1.44028687e-04 ...  4.42882115e-03
     2.77093588e-03  4.69...
[ 2018-10-17 17:08:06,592 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,592 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,592 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,592 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,592 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,594 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.08196471 0.16707252 0.11170118 0.21155512 0.23481515 0.17674014
 0.10259512 0.34816796 0.12666...
[ 2018-10-17 17:08:06,594 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,594 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,594 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,594 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,596 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.08196471 0.16707252 0.11170118 0.21155512 0.23481515 0.17674014
 0.10259512 0.34816796 0.12666...
[ 2018-10-17 17:08:06,596 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,598 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.08196471 0.16707252 0.11170118 0.21155512 0.23481515 0.17674014
 0.10259512 0.34816796 0.12666...
[ 2018-10-17 17:08:06,599 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,599 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,599 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,599 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,599 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,601 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-9.23379511e-02 -2.87267566e-01 -1.82680503e-01 -1.83886737e-02
  9.87148657e-02  2.49306142e-01...
[ 2018-10-17 17:08:06,601 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,601 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,602 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,602 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,604 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-9.23379511e-02 -2.87267566e-01 -1.82680503e-01 -1.83886737e-02
  9.87148657e-02  2.49306142e-01...
[ 2018-10-17 17:08:06,604 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,606 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-9.23379511e-02 -2.87267566e-01 -1.82680503e-01 -1.83886737e-02
  9.87148657e-02  2.49306142e-01...
[ 2018-10-17 17:08:06,606 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,606 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,606 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,606 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,606 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,608 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-5.06911755e-01 -5.18919766e-01 -3.53855491e-01  8.90781637e-04
 -8.31747130e-02 -3.81505519e-01...
[ 2018-10-17 17:08:06,609 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,609 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,609 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,609 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,611 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-5.06911755e-01 -5.18919766e-01 -3.53855491e-01  8.90781637e-04
 -8.31747130e-02 -3.81505519e-01...
[ 2018-10-17 17:08:06,611 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,613 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-5.06911755e-01 -5.18919766e-01 -3.53855491e-01  8.90781637e-04
 -8.31747130e-02 -3.81505519e-01...
[ 2018-10-17 17:08:06,613 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,613 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/weights
[ 2018-10-17 17:08:06,614 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,614 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,614 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,616 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[ 2.79011969e-02 -1.89370774e-02 -5.60028804e-03 ...  9.68454499e-03
    -9.92451888e-03  6.48...
[ 2018-10-17 17:08:06,616 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,617 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/weights/read
[ 2018-10-17 17:08:06,617 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,617 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,619 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 192 192], value = [[[[ 2.79011969e-02 -1.89370774e-02 -5.60028804e-03 ...  9.68454499e-03
    -9.92451888e-03  6.48...
[ 2018-10-17 17:08:06,619 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,622 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[ 2.79011969e-02 -1.89370774e-02 -5.60028804e-03 ...  9.68454499e-03
    -9.92451888e-03  6.48...
[ 2018-10-17 17:08:06,622 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,622 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,622 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,622 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,622 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,624 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.25019053 0.1631661  0.13488823 0.1571014  0.16814935 0.15713547
 0.11936798 0.21649894 0.24013...
[ 2018-10-17 17:08:06,624 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,625 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,625 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,625 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,627 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.25019053 0.1631661  0.13488823 0.1571014  0.16814935 0.15713547
 0.11936798 0.21649894 0.24013...
[ 2018-10-17 17:08:06,627 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,629 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.25019053 0.1631661  0.13488823 0.1571014  0.16814935 0.15713547
 0.11936798 0.21649894 0.24013...
[ 2018-10-17 17:08:06,629 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,629 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,629 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,629 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,629 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,631 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5490318   0.04191403  0.54198617  0.16907461 -0.12344714 -0.11773208
 -0.28858542 -0.06726713...
[ 2018-10-17 17:08:06,632 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,632 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,632 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,632 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,634 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.5490318   0.04191403  0.54198617  0.16907461 -0.12344714 -0.11773208
 -0.28858542 -0.06726713...
[ 2018-10-17 17:08:06,634 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,636 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5490318   0.04191403  0.54198617  0.16907461 -0.12344714 -0.11773208
 -0.28858542 -0.06726713...
[ 2018-10-17 17:08:06,636 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,636 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,636 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,636 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,636 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,638 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.59233546 -0.8234305  -0.4840087  -0.6627017  -0.9931921  -0.588819
 -0.25448084 -0.5701173  -...
[ 2018-10-17 17:08:06,639 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,639 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,639 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,639 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,641 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.59233546 -0.8234305  -0.4840087  -0.6627017  -0.9931921  -0.588819
 -0.25448084 -0.5701173  -...
[ 2018-10-17 17:08:06,641 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,643 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.59233546 -0.8234305  -0.4840087  -0.6627017  -0.9931921  -0.588819
 -0.25448084 -0.5701173  -...
[ 2018-10-17 17:08:06,643 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,643 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,643 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,643 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,644 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,644 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.04628062  0.01151617 -0.00569083 ...  0.00792942  0.01297216
    -0.01071028]
   [ 0.01027...
[ 2018-10-17 17:08:06,644 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,644 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,645 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,645 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,645 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-0.04628062  0.01151617 -0.00569083 ...  0.00792942  0.01297216
    -0.01071028]
   [ 0.01027...
[ 2018-10-17 17:08:06,645 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,646 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.04628062  0.01151617 -0.00569083 ...  0.00792942  0.01297216
    -0.01071028]
   [ 0.01027...
[ 2018-10-17 17:08:06,646 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,646 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,646 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,647 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,647 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,649 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.14759065 0.17075376 0.21142453 0.20858285 0.19332348 0.39819387
 0.31820762 0.25900066 0.21577...
[ 2018-10-17 17:08:06,650 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,650 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,650 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,650 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,653 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.14759065 0.17075376 0.21142453 0.20858285 0.19332348 0.39819387
 0.31820762 0.25900066 0.21577...
[ 2018-10-17 17:08:06,653 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,656 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.14759065 0.17075376 0.21142453 0.20858285 0.19332348 0.39819387
 0.31820762 0.25900066 0.21577...
[ 2018-10-17 17:08:06,656 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,656 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,656 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,656 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,656 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,659 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.55573606 -0.10035605 -0.22846569  0.01924689 -0.5424683   0.52165157
 -0.16660237 -0.20374638...
[ 2018-10-17 17:08:06,659 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,659 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,659 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,659 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,662 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.55573606 -0.10035605 -0.22846569  0.01924689 -0.5424683   0.52165157
 -0.16660237 -0.20374638...
[ 2018-10-17 17:08:06,662 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,665 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.55573606 -0.10035605 -0.22846569  0.01924689 -0.5424683   0.52165157
 -0.16660237 -0.20374638...
[ 2018-10-17 17:08:06,665 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,665 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,665 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,666 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,666 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,668 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.9086873  -0.76418126 -0.5958969  -0.49699673 -0.5890364  -0.7683607
 -0.5763356  -0.69163555 ...
[ 2018-10-17 17:08:06,668 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,668 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,668 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,669 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,671 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.9086873  -0.76418126 -0.5958969  -0.49699673 -0.5890364  -0.7683607
 -0.5763356  -0.69163555 ...
[ 2018-10-17 17:08:06,671 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,674 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.9086873  -0.76418126 -0.5958969  -0.49699673 -0.5890364  -0.7683607
 -0.5763356  -0.69163555 ...
[ 2018-10-17 17:08:06,674 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,674 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:06,674 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,674 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,675 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,677 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 0.00802506  0.00903801 -0.01870893 ... -0.0221083   0.00771186
    -0.00547646]
   [ 0.00735...
[ 2018-10-17 17:08:06,677 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,677 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:06,678 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,678 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,680 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 256], value = [[[[ 0.00802506  0.00903801 -0.01870893 ... -0.0221083   0.00771186
    -0.00547646]
   [ 0.00735...
[ 2018-10-17 17:08:06,680 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,683 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 0.00802506  0.00903801 -0.01870893 ... -0.0221083   0.00771186
    -0.00547646]
   [ 0.00735...
[ 2018-10-17 17:08:06,683 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,683 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,684 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,684 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,684 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,687 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.3810417  0.26333278 0.13405673 0.40383723 0.35823584 0.31701383
 0.19138066 0.18793194 0.30921...
[ 2018-10-17 17:08:06,687 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,687 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,687 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,687 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,690 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.3810417  0.26333278 0.13405673 0.40383723 0.35823584 0.31701383
 0.19138066 0.18793194 0.30921...
[ 2018-10-17 17:08:06,690 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,692 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.3810417  0.26333278 0.13405673 0.40383723 0.35823584 0.31701383
 0.19138066 0.18793194 0.30921...
[ 2018-10-17 17:08:06,692 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,692 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,693 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,693 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,693 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,695 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.1807654  -0.3814124  -0.05208661 -0.67145234 -0.37074935 -0.4334501
 -0.39569443 -0.15281747 ...
[ 2018-10-17 17:08:06,695 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,696 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,696 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,696 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,698 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.1807654  -0.3814124  -0.05208661 -0.67145234 -0.37074935 -0.4334501
 -0.39569443 -0.15281747 ...
[ 2018-10-17 17:08:06,698 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,701 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.1807654  -0.3814124  -0.05208661 -0.67145234 -0.37074935 -0.4334501
 -0.39569443 -0.15281747 ...
[ 2018-10-17 17:08:06,701 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,701 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,702 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,702 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,702 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,704 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.14736144 -0.93735236 -0.8476434  -0.47241154 -0.2337879  -0.5821542
 -0.6726019  -0.7738604  ...
[ 2018-10-17 17:08:06,704 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,705 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,705 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,705 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,707 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.14736144 -0.93735236 -0.8476434  -0.47241154 -0.2337879  -0.5821542
 -0.6726019  -0.7738604  ...
[ 2018-10-17 17:08:06,707 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,709 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.14736144 -0.93735236 -0.8476434  -0.47241154 -0.2337879  -0.5821542
 -0.6726019  -0.7738604  ...
[ 2018-10-17 17:08:06,710 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,710 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:06,710 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,710 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,710 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,713 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 1.80505626e-02 -1.58871301e-02  4.90345806e-03 ... -2.72129625e-02
    -4.89084097e-03  4.05...
[ 2018-10-17 17:08:06,713 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,713 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:06,713 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,713 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,716 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 1.80505626e-02 -1.58871301e-02  4.90345806e-03 ... -2.72129625e-02
    -4.89084097e-03  4.05...
[ 2018-10-17 17:08:06,716 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,719 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 1.80505626e-02 -1.58871301e-02  4.90345806e-03 ... -2.72129625e-02
    -4.89084097e-03  4.05...
[ 2018-10-17 17:08:06,719 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,719 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,719 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,719 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,720 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,721 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.5834496  0.28410938 0.3094954  0.37696058 0.9814522  0.35612512
 0.3246333  0.30020794 0.29445...
[ 2018-10-17 17:08:06,722 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,722 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,722 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,722 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,724 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.5834496  0.28410938 0.3094954  0.37696058 0.9814522  0.35612512
 0.3246333  0.30020794 0.29445...
[ 2018-10-17 17:08:06,724 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,727 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.5834496  0.28410938 0.3094954  0.37696058 0.9814522  0.35612512
 0.3246333  0.30020794 0.29445...
[ 2018-10-17 17:08:06,727 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,727 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,727 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,727 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,727 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,730 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 5.20539284e-01 -1.42105549e-04 -4.68038097e-02  2.41811618e-01
 -1.13277650e+00 -3.97876590e-01...
[ 2018-10-17 17:08:06,730 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,730 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,730 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,730 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,733 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [ 5.20539284e-01 -1.42105549e-04 -4.68038097e-02  2.41811618e-01
 -1.13277650e+00 -3.97876590e-01...
[ 2018-10-17 17:08:06,733 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,735 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 5.20539284e-01 -1.42105549e-04 -4.68038097e-02  2.41811618e-01
 -1.13277650e+00 -3.97876590e-01...
[ 2018-10-17 17:08:06,735 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,735 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,735 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,735 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,736 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,738 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.6076803  -0.7941382  -0.74228376 -0.80043364  0.00182516 -0.7739205
 -0.64233375 -0.68693215 ...
[ 2018-10-17 17:08:06,738 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,738 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,738 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,738 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,740 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.6076803  -0.7941382  -0.74228376 -0.80043364  0.00182516 -0.7739205
 -0.64233375 -0.68693215 ...
[ 2018-10-17 17:08:06,740 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,742 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.6076803  -0.7941382  -0.74228376 -0.80043364  0.00182516 -0.7739205
 -0.64233375 -0.68693215 ...
[ 2018-10-17 17:08:06,742 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,742 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,742 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,742 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,743 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,743 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.01285967  0.03421178 -0.00995497 ... -0.00200539 -0.02805926
    -0.02353239]
   [ 0.06730...
[ 2018-10-17 17:08:06,743 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,744 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,744 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,744 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,745 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[ 0.01285967  0.03421178 -0.00995497 ... -0.00200539 -0.02805926
    -0.02353239]
   [ 0.06730...
[ 2018-10-17 17:08:06,745 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,745 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[ 0.01285967  0.03421178 -0.00995497 ... -0.00200539 -0.02805926
    -0.02353239]
   [ 0.06730...
[ 2018-10-17 17:08:06,746 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,746 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,746 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,746 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,746 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,750 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.71845704 0.43583143 1.0197895  0.4747959  0.32107446 0.35244015
 0.35178393 1.3370937  1.38767...
[ 2018-10-17 17:08:06,750 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,750 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,750 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,750 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,754 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.71845704 0.43583143 1.0197895  0.4747959  0.32107446 0.35244015
 0.35178393 1.3370937  1.38767...
[ 2018-10-17 17:08:06,754 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,757 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.71845704 0.43583143 1.0197895  0.4747959  0.32107446 0.35244015
 0.35178393 1.3370937  1.38767...
[ 2018-10-17 17:08:06,758 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,758 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,758 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,758 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,758 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,762 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 3.05040121e-01 -9.58130229e-03 -8.50445569e-01 -1.04290284e-01
 -3.79857033e-01 -5.96072972e-01...
[ 2018-10-17 17:08:06,762 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,762 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,762 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,763 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,767 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [ 3.05040121e-01 -9.58130229e-03 -8.50445569e-01 -1.04290284e-01
 -3.79857033e-01 -5.96072972e-01...
[ 2018-10-17 17:08:06,767 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,771 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 3.05040121e-01 -9.58130229e-03 -8.50445569e-01 -1.04290284e-01
 -3.79857033e-01 -5.96072972e-01...
[ 2018-10-17 17:08:06,771 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,771 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,771 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,771 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,771 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,775 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-3.53104115e-01 -4.79400426e-01  1.71293795e-01 -7.64859989e-02
 -3.55632186e-01 -3.49242300e-01...
[ 2018-10-17 17:08:06,775 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,775 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,775 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,776 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,779 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-3.53104115e-01 -4.79400426e-01  1.71293795e-01 -7.64859989e-02
 -3.55632186e-01 -3.49242300e-01...
[ 2018-10-17 17:08:06,779 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,783 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-3.53104115e-01 -4.79400426e-01  1.71293795e-01 -7.64859989e-02
 -3.55632186e-01 -3.49242300e-01...
[ 2018-10-17 17:08:06,783 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,784 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,784 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,784 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,784 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,785 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.05062675  0.02636558  0.02029037 ... -0.02556105 -0.01683097
    -0.06306476]
   [ 0.04804...
[ 2018-10-17 17:08:06,785 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,785 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,785 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,785 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,786 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  384], value = [[[[-0.05062675  0.02636558  0.02029037 ... -0.02556105 -0.01683097
    -0.06306476]
   [ 0.04804...
[ 2018-10-17 17:08:06,786 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,787 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.05062675  0.02636558  0.02029037 ... -0.02556105 -0.01683097
    -0.06306476]
   [ 0.04804...
[ 2018-10-17 17:08:06,787 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,787 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,787 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,787 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,787 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,789 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.1129746  0.12910555 0.11639821 0.3547483  0.13115954 0.18626176
 0.16456504 0.10257756 0.18230...
[ 2018-10-17 17:08:06,789 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,789 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,789 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,789 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,790 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [0.1129746  0.12910555 0.11639821 0.3547483  0.13115954 0.18626176
 0.16456504 0.10257756 0.18230...
[ 2018-10-17 17:08:06,791 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,792 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.1129746  0.12910555 0.11639821 0.3547483  0.13115954 0.18626176
 0.16456504 0.10257756 0.18230...
[ 2018-10-17 17:08:06,792 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,792 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,792 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,792 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,792 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,794 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.3232488  -0.09229293 -0.3800448  -0.2927804  -0.62771744 -0.12688217
 -0.03451735 -0.49696907...
[ 2018-10-17 17:08:06,794 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,794 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,794 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,794 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,796 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.3232488  -0.09229293 -0.3800448  -0.2927804  -0.62771744 -0.12688217
 -0.03451735 -0.49696907...
[ 2018-10-17 17:08:06,796 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,797 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.3232488  -0.09229293 -0.3800448  -0.2927804  -0.62771744 -0.12688217
 -0.03451735 -0.49696907...
[ 2018-10-17 17:08:06,798 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,798 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,798 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,798 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,798 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,799 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.6324212  -0.6235583  -0.7125679  -0.125428   -0.6542412  -0.43786862
 -0.40908507 -0.6080726 ...
[ 2018-10-17 17:08:06,800 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,800 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,800 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,800 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,801 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.6324212  -0.6235583  -0.7125679  -0.125428   -0.6542412  -0.43786862
 -0.40908507 -0.6080726 ...
[ 2018-10-17 17:08:06,801 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,803 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.6324212  -0.6235583  -0.7125679  -0.125428   -0.6542412  -0.43786862
 -0.40908507 -0.6080726 ...
[ 2018-10-17 17:08:06,803 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,803 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:06,803 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,804 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,804 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,805 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.00539506 -0.04006429  0.00313758 ...  0.01822556  0.00478344
     0.02076883]
   [ 0.04003...
[ 2018-10-17 17:08:06,805 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,805 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:06,805 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,805 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,806 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  128], value = [[[[ 0.00539506 -0.04006429  0.00313758 ...  0.01822556  0.00478344
     0.02076883]
   [ 0.04003...
[ 2018-10-17 17:08:06,806 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,807 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[ 0.00539506 -0.04006429  0.00313758 ...  0.01822556  0.00478344
     0.02076883]
   [ 0.04003...
[ 2018-10-17 17:08:06,807 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,807 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,807 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,807 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,807 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,810 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [6.15629196e-01 2.55225122e-01 2.22797251e+00 8.18976879e-01
 7.15498924e-01 4.20110971e-01 4.574...
[ 2018-10-17 17:08:06,810 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,811 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,811 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,811 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,813 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [6.15629196e-01 2.55225122e-01 2.22797251e+00 8.18976879e-01
 7.15498924e-01 4.20110971e-01 4.574...
[ 2018-10-17 17:08:06,814 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,816 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [6.15629196e-01 2.55225122e-01 2.22797251e+00 8.18976879e-01
 7.15498924e-01 4.20110971e-01 4.574...
[ 2018-10-17 17:08:06,816 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,817 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,817 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,817 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,817 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,819 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-2.31243894e-01 -8.73562470e-02 -4.29716796e-01 -9.07822669e-01
 -1.60437226e+00  1.60261974e-01...
[ 2018-10-17 17:08:06,820 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,820 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,820 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,820 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,822 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-2.31243894e-01 -8.73562470e-02 -4.29716796e-01 -9.07822669e-01
 -1.60437226e+00  1.60261974e-01...
[ 2018-10-17 17:08:06,822 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,825 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-2.31243894e-01 -8.73562470e-02 -4.29716796e-01 -9.07822669e-01
 -1.60437226e+00  1.60261974e-01...
[ 2018-10-17 17:08:06,825 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,825 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,826 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,826 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,826 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,828 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.39668426 -0.31108215 -0.3341729  -0.34017318 -0.62443846 -0.83115846
 -0.42683735 -0.30715576...
[ 2018-10-17 17:08:06,829 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,829 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,829 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,829 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,831 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.39668426 -0.31108215 -0.3341729  -0.34017318 -0.62443846 -0.83115846
 -0.42683735 -0.30715576...
[ 2018-10-17 17:08:06,831 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,834 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.39668426 -0.31108215 -0.3341729  -0.34017318 -0.62443846 -0.83115846
 -0.42683735 -0.30715576...
[ 2018-10-17 17:08:06,834 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,834 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/weights
[ 2018-10-17 17:08:06,834 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,834 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,835 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,837 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-6.14501128e-04  2.05901428e-03 -5.81582217e-03 ...  4.89071710e-03
    -1.12054441e-02  1.67...
[ 2018-10-17 17:08:06,837 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,837 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/weights/read
[ 2018-10-17 17:08:06,837 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,838 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,840 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 224 256], value = [[[[-6.14501128e-04  2.05901428e-03 -5.81582217e-03 ...  4.89071710e-03
    -1.12054441e-02  1.67...
[ 2018-10-17 17:08:06,840 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,843 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-6.14501128e-04  2.05901428e-03 -5.81582217e-03 ...  4.89071710e-03
    -1.12054441e-02  1.67...
[ 2018-10-17 17:08:06,843 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,843 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,843 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,844 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,844 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,846 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.15157539 0.16390681 0.27534515 0.17791553 0.29602972 0.9670122
 0.2047333  0.19180998 0.386606...
[ 2018-10-17 17:08:06,847 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,847 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,847 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,847 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,849 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.15157539 0.16390681 0.27534515 0.17791553 0.29602972 0.9670122
 0.2047333  0.19180998 0.386606...
[ 2018-10-17 17:08:06,849 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,851 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.15157539 0.16390681 0.27534515 0.17791553 0.29602972 0.9670122
 0.2047333  0.19180998 0.386606...
[ 2018-10-17 17:08:06,852 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,852 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,852 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,852 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,852 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,854 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-3.10859224e-03  9.56899002e-02 -3.01950365e-01  3.79903354e-02
  6.29050210e-02  1.82747081e-01...
[ 2018-10-17 17:08:06,854 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,854 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,854 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,855 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,857 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-3.10859224e-03  9.56899002e-02 -3.01950365e-01  3.79903354e-02
  6.29050210e-02  1.82747081e-01...
[ 2018-10-17 17:08:06,857 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,859 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-3.10859224e-03  9.56899002e-02 -3.01950365e-01  3.79903354e-02
  6.29050210e-02  1.82747081e-01...
[ 2018-10-17 17:08:06,860 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,860 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,860 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,860 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,860 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,862 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.48295155 -0.70380014 -0.42087153 -0.5823057  -0.30778196  0.10577822
 -0.5591413  -0.04472668...
[ 2018-10-17 17:08:06,862 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,862 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,863 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,863 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,865 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.48295155 -0.70380014 -0.42087153 -0.5823057  -0.30778196  0.10577822
 -0.5591413  -0.04472668...
[ 2018-10-17 17:08:06,865 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,867 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.48295155 -0.70380014 -0.42087153 -0.5823057  -0.30778196  0.10577822
 -0.5591413  -0.04472668...
[ 2018-10-17 17:08:06,867 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,868 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/weights
[ 2018-10-17 17:08:06,868 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,868 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,868 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,870 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[ 2.49685580e-03  3.53289615e-05 -9.69992299e-03 ... -4.53027524e-03
    -1.60931088e-02  3.12...
[ 2018-10-17 17:08:06,871 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,871 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/weights/read
[ 2018-10-17 17:08:06,871 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,871 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,873 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 224], value = [[[[ 2.49685580e-03  3.53289615e-05 -9.69992299e-03 ... -4.53027524e-03
    -1.60931088e-02  3.12...
[ 2018-10-17 17:08:06,874 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,876 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[ 2.49685580e-03  3.53289615e-05 -9.69992299e-03 ... -4.53027524e-03
    -1.60931088e-02  3.12...
[ 2018-10-17 17:08:06,877 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,877 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,877 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,877 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,877 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,879 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.30107096 0.23939711 0.30330676 0.43677202 0.2078279  0.1708432
 0.25460386 0.11691872 0.310447...
[ 2018-10-17 17:08:06,879 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,879 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,879 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,880 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,882 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.30107096 0.23939711 0.30330676 0.43677202 0.2078279  0.1708432
 0.25460386 0.11691872 0.310447...
[ 2018-10-17 17:08:06,882 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,884 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.30107096 0.23939711 0.30330676 0.43677202 0.2078279  0.1708432
 0.25460386 0.11691872 0.310447...
[ 2018-10-17 17:08:06,884 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,885 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,885 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,885 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,885 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,887 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.7845064  -0.1219607  -0.5498478  -0.6128471  -0.11702512 -0.39795342
 -0.53889173 -0.23963164...
[ 2018-10-17 17:08:06,887 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,887 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,887 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,888 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,890 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.7845064  -0.1219607  -0.5498478  -0.6128471  -0.11702512 -0.39795342
 -0.53889173 -0.23963164...
[ 2018-10-17 17:08:06,890 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,892 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.7845064  -0.1219607  -0.5498478  -0.6128471  -0.11702512 -0.39795342
 -0.53889173 -0.23963164...
[ 2018-10-17 17:08:06,892 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,892 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
[ 2018-10-17 17:08:06,892 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,893 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,893 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,895 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-3.7455049e-01 -4.2887846e-01 -1.7684738e-01 -1.6516252e-01
 -4.3369848e-01 -3.1038842e-01 -3.67...
[ 2018-10-17 17:08:06,895 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,895 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:06,895 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,896 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,898 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-3.7455049e-01 -4.2887846e-01 -1.7684738e-01 -1.6516252e-01
 -4.3369848e-01 -3.1038842e-01 -3.67...
[ 2018-10-17 17:08:06,898 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,900 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-3.7455049e-01 -4.2887846e-01 -1.7684738e-01 -1.6516252e-01
 -4.3369848e-01 -3.1038842e-01 -3.67...
[ 2018-10-17 17:08:06,900 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,900 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/weights
[ 2018-10-17 17:08:06,900 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,900 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,900 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,903 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 1.22934934e-02  4.63763718e-03 -6.74492260e-03 ... -8.84242076e-03
    -5.75387198e-03  3.89...
[ 2018-10-17 17:08:06,903 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,903 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/weights/read
[ 2018-10-17 17:08:06,903 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,903 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,906 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 1.22934934e-02  4.63763718e-03 -6.74492260e-03 ... -8.84242076e-03
    -5.75387198e-03  3.89...
[ 2018-10-17 17:08:06,906 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,909 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 1.22934934e-02  4.63763718e-03 -6.74492260e-03 ... -8.84242076e-03
    -5.75387198e-03  3.89...
[ 2018-10-17 17:08:06,909 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,909 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,909 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,909 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,909 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,911 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.13095641 0.3824778  0.14238876 0.5458322  0.2521582  0.169518
 0.17080675 0.2260334  0.2793105...
[ 2018-10-17 17:08:06,911 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,911 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,911 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,912 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,913 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.13095641 0.3824778  0.14238876 0.5458322  0.2521582  0.169518
 0.17080675 0.2260334  0.2793105...
[ 2018-10-17 17:08:06,914 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,916 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.13095641 0.3824778  0.14238876 0.5458322  0.2521582  0.169518
 0.17080675 0.2260334  0.2793105...
[ 2018-10-17 17:08:06,916 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,916 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,916 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,916 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,916 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,918 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 0.09076505 -0.43529055 -0.1794004   0.05693766 -0.00404197 -0.37185138
 -0.06151101 -0.32479194...
[ 2018-10-17 17:08:06,919 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,919 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,919 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,919 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,921 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [ 0.09076505 -0.43529055 -0.1794004   0.05693766 -0.00404197 -0.37185138
 -0.06151101 -0.32479194...
[ 2018-10-17 17:08:06,921 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,923 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 0.09076505 -0.43529055 -0.1794004   0.05693766 -0.00404197 -0.37185138
 -0.06151101 -0.32479194...
[ 2018-10-17 17:08:06,923 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,923 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,923 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,923 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,923 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,926 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.23153526e-01 -6.15415648e-02 -4.20450389e-01 -4.45615053e-02
 -7.49695003e-02 -2.84147978e-01...
[ 2018-10-17 17:08:06,926 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,926 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,926 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,926 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,928 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-3.23153526e-01 -6.15415648e-02 -4.20450389e-01 -4.45615053e-02
 -7.49695003e-02 -2.84147978e-01...
[ 2018-10-17 17:08:06,928 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,930 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.23153526e-01 -6.15415648e-02 -4.20450389e-01 -4.45615053e-02
 -7.49695003e-02 -2.84147978e-01...
[ 2018-10-17 17:08:06,930 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,930 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/weights
[ 2018-10-17 17:08:06,930 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,931 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,931 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,933 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-0.02222011  0.00262306 -0.00362434 ...  0.00440325 -0.0074002
     0.01585664]
   [-0.002268...
[ 2018-10-17 17:08:06,933 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,933 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/weights/read
[ 2018-10-17 17:08:06,933 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,934 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,936 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 192 192], value = [[[[-0.02222011  0.00262306 -0.00362434 ...  0.00440325 -0.0074002
     0.01585664]
   [-0.002268...
[ 2018-10-17 17:08:06,936 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,939 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-0.02222011  0.00262306 -0.00362434 ...  0.00440325 -0.0074002
     0.01585664]
   [-0.002268...
[ 2018-10-17 17:08:06,939 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,939 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,939 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,939 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,939 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,941 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.2237976  0.46320778 0.14621568 0.32336363 0.30436835 0.17962287
 0.14866126 0.17032588 0.30702...
[ 2018-10-17 17:08:06,941 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,941 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,942 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,942 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,944 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.2237976  0.46320778 0.14621568 0.32336363 0.30436835 0.17962287
 0.14866126 0.17032588 0.30702...
[ 2018-10-17 17:08:06,944 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,946 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.2237976  0.46320778 0.14621568 0.32336363 0.30436835 0.17962287
 0.14866126 0.17032588 0.30702...
[ 2018-10-17 17:08:06,946 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,946 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,946 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,946 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,946 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,948 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 4.85883914e-02 -5.87954462e-01  2.79951125e-01 -3.23447645e-01
  9.71529260e-02 -8.53171870e-02...
[ 2018-10-17 17:08:06,948 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,948 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,949 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,949 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,951 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [ 4.85883914e-02 -5.87954462e-01  2.79951125e-01 -3.23447645e-01
  9.71529260e-02 -8.53171870e-02...
[ 2018-10-17 17:08:06,951 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,953 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 4.85883914e-02 -5.87954462e-01  2.79951125e-01 -3.23447645e-01
  9.71529260e-02 -8.53171870e-02...
[ 2018-10-17 17:08:06,953 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,953 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:06,953 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,953 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,954 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,956 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.4925172  -0.46077168 -0.70395905 -0.46149448 -1.2255404  -0.71021056
 -0.7391314  -0.9011577 ...
[ 2018-10-17 17:08:06,956 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,956 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,956 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,956 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,958 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.4925172  -0.46077168 -0.70395905 -0.46149448 -1.2255404  -0.71021056
 -0.7391314  -0.9011577 ...
[ 2018-10-17 17:08:06,958 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,960 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.4925172  -0.46077168 -0.70395905 -0.46149448 -1.2255404  -0.71021056
 -0.7391314  -0.9011577 ...
[ 2018-10-17 17:08:06,961 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,961 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:06,961 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,961 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,961 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,962 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-1.7064746e-03 -2.4750017e-02  1.8178025e-02 ... -7.9325614e-03
    -8.9283109e-05  4.8462108...
[ 2018-10-17 17:08:06,962 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,962 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:06,962 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,962 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,963 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-1.7064746e-03 -2.4750017e-02  1.8178025e-02 ... -7.9325614e-03
    -8.9283109e-05  4.8462108...
[ 2018-10-17 17:08:06,963 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,964 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-1.7064746e-03 -2.4750017e-02  1.8178025e-02 ... -7.9325614e-03
    -8.9283109e-05  4.8462108...
[ 2018-10-17 17:08:06,964 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,964 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:06,964 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,964 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,964 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,967 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.26293197 0.26639304 0.17826371 0.16281652 0.19165976 0.2445136
 0.22662045 0.254774   0.275814...
[ 2018-10-17 17:08:06,967 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,967 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:06,967 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,967 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,970 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.26293197 0.26639304 0.17826371 0.16281652 0.19165976 0.2445136
 0.22662045 0.254774   0.275814...
[ 2018-10-17 17:08:06,970 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,972 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.26293197 0.26639304 0.17826371 0.16281652 0.19165976 0.2445136
 0.22662045 0.254774   0.275814...
[ 2018-10-17 17:08:06,972 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,972 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:06,972 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,973 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,973 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,975 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-5.07948399e-01 -1.90455526e-01 -2.83774555e-01 -3.23496044e-01
 -6.87908053e-01 -4.46687996e-01...
[ 2018-10-17 17:08:06,975 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,976 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:06,976 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,976 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,978 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-5.07948399e-01 -1.90455526e-01 -2.83774555e-01 -3.23496044e-01
 -6.87908053e-01 -4.46687996e-01...
[ 2018-10-17 17:08:06,978 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,981 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-5.07948399e-01 -1.90455526e-01 -2.83774555e-01 -3.23496044e-01
 -6.87908053e-01 -4.46687996e-01...
[ 2018-10-17 17:08:06,981 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,981 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:06,981 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,981 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,981 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,984 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.58411473 -0.58540386 -0.67863417 -0.8882381  -0.7387601  -0.7442636
 -0.62570524 -0.7254246  ...
[ 2018-10-17 17:08:06,984 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,984 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:06,984 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,985 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,987 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.58411473 -0.58540386 -0.67863417 -0.8882381  -0.7387601  -0.7442636
 -0.62570524 -0.7254246  ...
[ 2018-10-17 17:08:06,987 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,990 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.58411473 -0.58540386 -0.67863417 -0.8882381  -0.7387601  -0.7442636
 -0.62570524 -0.7254246  ...
[ 2018-10-17 17:08:06,990 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,990 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:06,990 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:06,991 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,991 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,993 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[-1.43894339e-02  1.01706404e-02 -2.00348832e-02 ... -1.52722858e-02
    -3.55815078e-04  1.72...
[ 2018-10-17 17:08:06,993 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,994 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:06,994 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:06,994 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:06,996 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 256], value = [[[[-1.43894339e-02  1.01706404e-02 -2.00348832e-02 ... -1.52722858e-02
    -3.55815078e-04  1.72...
[ 2018-10-17 17:08:06,996 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:06,999 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[-1.43894339e-02  1.01706404e-02 -2.00348832e-02 ... -1.52722858e-02
    -3.55815078e-04  1.72...
[ 2018-10-17 17:08:06,999 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:06,999 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,000 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,000 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,000 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,002 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.21743768 0.21399288 0.36687344 0.18278046 0.3795784  0.19963172
 0.17741233 0.32456863 0.21676...
[ 2018-10-17 17:08:07,002 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,002 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,002 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,003 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,005 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.21743768 0.21399288 0.36687344 0.18278046 0.3795784  0.19963172
 0.17741233 0.32456863 0.21676...
[ 2018-10-17 17:08:07,005 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,007 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.21743768 0.21399288 0.36687344 0.18278046 0.3795784  0.19963172
 0.17741233 0.32456863 0.21676...
[ 2018-10-17 17:08:07,008 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,008 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,008 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,008 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,008 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,010 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.463291   -0.09112385 -0.0810896  -0.1495407  -0.6320044  -0.19255638
 -0.36047512 -0.12185496...
[ 2018-10-17 17:08:07,010 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,010 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,010 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,011 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,013 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.463291   -0.09112385 -0.0810896  -0.1495407  -0.6320044  -0.19255638
 -0.36047512 -0.12185496...
[ 2018-10-17 17:08:07,013 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,015 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.463291   -0.09112385 -0.0810896  -0.1495407  -0.6320044  -0.19255638
 -0.36047512 -0.12185496...
[ 2018-10-17 17:08:07,015 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,015 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:07,015 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,016 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,016 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,018 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.760716   -0.9293555  -0.5931443  -0.9430776  -0.38851038 -0.68357664
 -0.86253446 -0.5841237 ...
[ 2018-10-17 17:08:07,018 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,018 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:07,018 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,019 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,021 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.760716   -0.9293555  -0.5931443  -0.9430776  -0.38851038 -0.68357664
 -0.86253446 -0.5841237 ...
[ 2018-10-17 17:08:07,021 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,023 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.760716   -0.9293555  -0.5931443  -0.9430776  -0.38851038 -0.68357664
 -0.86253446 -0.5841237 ...
[ 2018-10-17 17:08:07,024 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,024 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:07,024 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,024 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,024 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,027 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 1.37520963e-02 -1.34608010e-02  2.83578038e-03 ...  1.75334569e-02
    -8.68322421e-03 -5.37...
[ 2018-10-17 17:08:07,027 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,027 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:07,027 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,027 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,030 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 1.37520963e-02 -1.34608010e-02  2.83578038e-03 ...  1.75334569e-02
    -8.68322421e-03 -5.37...
[ 2018-10-17 17:08:07,030 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,033 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 1.37520963e-02 -1.34608010e-02  2.83578038e-03 ...  1.75334569e-02
    -8.68322421e-03 -5.37...
[ 2018-10-17 17:08:07,033 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,033 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,033 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,034 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,034 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,036 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [2.6491237e-01 3.0468714e-01 2.8631058e-01 2.5925717e-01 5.0763446e-01
 1.8710704e-01 7.2819382e-...
[ 2018-10-17 17:08:07,036 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,036 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,036 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,036 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,038 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [2.6491237e-01 3.0468714e-01 2.8631058e-01 2.5925717e-01 5.0763446e-01
 1.8710704e-01 7.2819382e-...
[ 2018-10-17 17:08:07,038 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,040 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [2.6491237e-01 3.0468714e-01 2.8631058e-01 2.5925717e-01 5.0763446e-01
 1.8710704e-01 7.2819382e-...
[ 2018-10-17 17:08:07,040 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,041 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,041 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,041 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,041 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,043 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.20015043e-01 -4.27214831e-01 -2.72074528e-02  1.57212108e-01
 -7.20088422e-01 -2.09577456e-01...
[ 2018-10-17 17:08:07,043 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,043 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,043 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,043 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,045 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-3.20015043e-01 -4.27214831e-01 -2.72074528e-02  1.57212108e-01
 -7.20088422e-01 -2.09577456e-01...
[ 2018-10-17 17:08:07,045 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,047 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.20015043e-01 -4.27214831e-01 -2.72074528e-02  1.57212108e-01
 -7.20088422e-01 -2.09577456e-01...
[ 2018-10-17 17:08:07,047 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,048 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,048 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,048 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,048 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,050 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5794089  -0.592914   -1.148328   -0.7782367  -0.32577506 -0.77477914
 -0.05993682 -0.6044674 ...
[ 2018-10-17 17:08:07,050 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,050 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,050 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,051 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,053 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.5794089  -0.592914   -1.148328   -0.7782367  -0.32577506 -0.77477914
 -0.05993682 -0.6044674 ...
[ 2018-10-17 17:08:07,053 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,055 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5794089  -0.592914   -1.148328   -0.7782367  -0.32577506 -0.77477914
 -0.05993682 -0.6044674 ...
[ 2018-10-17 17:08:07,055 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,055 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,055 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,056 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,056 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,056 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-8.9709638e-03 -2.9910732e-02 -1.6808555e-02 ...  4.8308648e-02
     3.7554167e-02 -2.3114813...
[ 2018-10-17 17:08:07,057 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,057 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,057 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,057 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,058 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-8.9709638e-03 -2.9910732e-02 -1.6808555e-02 ...  4.8308648e-02
     3.7554167e-02 -2.3114813...
[ 2018-10-17 17:08:07,058 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,058 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-8.9709638e-03 -2.9910732e-02 -1.6808555e-02 ...  4.8308648e-02
     3.7554167e-02 -2.3114813...
[ 2018-10-17 17:08:07,059 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,059 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,059 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,059 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,059 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,063 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.44746375 0.54859835 0.22884957 0.2897884  0.2566671  0.22847372
 1.3618497  0.3141559  0.33954...
[ 2018-10-17 17:08:07,063 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,063 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,063 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,064 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,068 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.44746375 0.54859835 0.22884957 0.2897884  0.2566671  0.22847372
 1.3618497  0.3141559  0.33954...
[ 2018-10-17 17:08:07,068 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,071 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.44746375 0.54859835 0.22884957 0.2897884  0.2566671  0.22847372
 1.3618497  0.3141559  0.33954...
[ 2018-10-17 17:08:07,071 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,071 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,072 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,072 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,072 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,075 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-1.03355795e-01 -5.11502028e-01  2.23606694e-02 -3.57939661e-01
 -5.42873144e-02 -3.23316634e-01...
[ 2018-10-17 17:08:07,076 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,076 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,076 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,076 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,080 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-1.03355795e-01 -5.11502028e-01  2.23606694e-02 -3.57939661e-01
 -5.42873144e-02 -3.23316634e-01...
[ 2018-10-17 17:08:07,080 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,084 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-1.03355795e-01 -5.11502028e-01  2.23606694e-02 -3.57939661e-01
 -5.42873144e-02 -3.23316634e-01...
[ 2018-10-17 17:08:07,084 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,084 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,084 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,084 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,085 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,088 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 5.16422801e-02  1.11168370e-01 -3.61201763e-01 -3.90212327e-01
 -3.98814201e-01 -7.17645705e-01...
[ 2018-10-17 17:08:07,088 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,088 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,088 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,089 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,092 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [ 5.16422801e-02  1.11168370e-01 -3.61201763e-01 -3.90212327e-01
 -3.98814201e-01 -7.17645705e-01...
[ 2018-10-17 17:08:07,093 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,096 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 5.16422801e-02  1.11168370e-01 -3.61201763e-01 -3.90212327e-01
 -3.98814201e-01 -7.17645705e-01...
[ 2018-10-17 17:08:07,097 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,097 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,097 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,097 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,097 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,098 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.02950469  0.03133866 -0.01205825 ... -0.00315501  0.03184851
    -0.0367863 ]
   [-0.03194...
[ 2018-10-17 17:08:07,098 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,098 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,098 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,098 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,099 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  384], value = [[[[-0.02950469  0.03133866 -0.01205825 ... -0.00315501  0.03184851
    -0.0367863 ]
   [-0.03194...
[ 2018-10-17 17:08:07,099 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,100 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[-0.02950469  0.03133866 -0.01205825 ... -0.00315501  0.03184851
    -0.0367863 ]
   [-0.03194...
[ 2018-10-17 17:08:07,100 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,100 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,100 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,101 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,101 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,102 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.1540736  0.2141493  0.15281773 0.13596962 0.21285175 0.13447185
 0.29384288 0.27303723 0.10846...
[ 2018-10-17 17:08:07,102 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,102 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,102 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,103 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,104 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [0.1540736  0.2141493  0.15281773 0.13596962 0.21285175 0.13447185
 0.29384288 0.27303723 0.10846...
[ 2018-10-17 17:08:07,104 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,106 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.1540736  0.2141493  0.15281773 0.13596962 0.21285175 0.13447185
 0.29384288 0.27303723 0.10846...
[ 2018-10-17 17:08:07,106 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,106 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,106 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,106 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,106 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,108 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.11088524 -0.2163332  -0.01096808 -0.3360739  -0.7769051  -0.5362632
  0.14852437 -0.48483476 ...
[ 2018-10-17 17:08:07,108 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,108 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,108 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,108 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,110 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.11088524 -0.2163332  -0.01096808 -0.3360739  -0.7769051  -0.5362632
  0.14852437 -0.48483476 ...
[ 2018-10-17 17:08:07,110 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,112 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.11088524 -0.2163332  -0.01096808 -0.3360739  -0.7769051  -0.5362632
  0.14852437 -0.48483476 ...
[ 2018-10-17 17:08:07,112 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,112 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,112 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,113 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,113 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,114 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.6499467  -0.58752656 -0.7578564  -0.8108787  -0.71582514 -0.6866292
 -0.6172447  -0.6330692  ...
[ 2018-10-17 17:08:07,114 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,115 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,115 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,115 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,116 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.6499467  -0.58752656 -0.7578564  -0.8108787  -0.71582514 -0.6866292
 -0.6172447  -0.6330692  ...
[ 2018-10-17 17:08:07,116 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,118 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.6499467  -0.58752656 -0.7578564  -0.8108787  -0.71582514 -0.6866292
 -0.6172447  -0.6330692  ...
[ 2018-10-17 17:08:07,118 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,118 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:07,118 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,119 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,119 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,119 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[-0.0452814  -0.02323938  0.00425241 ...  0.01141422 -0.00916894
     0.03808452]
   [ 0.00784...
[ 2018-10-17 17:08:07,120 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,120 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:07,120 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,120 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,121 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  128], value = [[[[-0.0452814  -0.02323938  0.00425241 ...  0.01141422 -0.00916894
     0.03808452]
   [ 0.00784...
[ 2018-10-17 17:08:07,121 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,121 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[-0.0452814  -0.02323938  0.00425241 ...  0.01141422 -0.00916894
     0.03808452]
   [ 0.00784...
[ 2018-10-17 17:08:07,122 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,122 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,122 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,122 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,122 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,125 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [3.8041916e-01 4.6984369e-01 3.9589241e-01 9.3280727e-01 4.4700471e-01
 4.4857019e-01 2.5928241e-...
[ 2018-10-17 17:08:07,125 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,126 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,126 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,126 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,129 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [3.8041916e-01 4.6984369e-01 3.9589241e-01 9.3280727e-01 4.4700471e-01
 4.4857019e-01 2.5928241e-...
[ 2018-10-17 17:08:07,129 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,131 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [3.8041916e-01 4.6984369e-01 3.9589241e-01 9.3280727e-01 4.4700471e-01
 4.4857019e-01 2.5928241e-...
[ 2018-10-17 17:08:07,131 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,131 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,132 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,132 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,132 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,134 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-5.4398900e-01 -5.2745473e-01 -1.1410666e+00 -1.0748258e+00
 -7.4355513e-01 -3.7667590e-01 -7.43...
[ 2018-10-17 17:08:07,134 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,135 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,135 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,135 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,137 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-5.4398900e-01 -5.2745473e-01 -1.1410666e+00 -1.0748258e+00
 -7.4355513e-01 -3.7667590e-01 -7.43...
[ 2018-10-17 17:08:07,137 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,140 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-5.4398900e-01 -5.2745473e-01 -1.1410666e+00 -1.0748258e+00
 -7.4355513e-01 -3.7667590e-01 -7.43...
[ 2018-10-17 17:08:07,140 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,140 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
[ 2018-10-17 17:08:07,140 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,140 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,140 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,143 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.5936837  -1.0244188  -0.6690517  -0.34087178 -0.43151978 -0.9737632
 -0.5082169  -0.6365459  ...
[ 2018-10-17 17:08:07,143 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,144 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:07,144 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,144 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,147 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.5936837  -1.0244188  -0.6690517  -0.34087178 -0.43151978 -0.9737632
 -0.5082169  -0.6365459  ...
[ 2018-10-17 17:08:07,147 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,149 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.5936837  -1.0244188  -0.6690517  -0.34087178 -0.43151978 -0.9737632
 -0.5082169  -0.6365459  ...
[ 2018-10-17 17:08:07,150 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,150 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/weights
[ 2018-10-17 17:08:07,150 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,150 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,150 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,153 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-5.04731713e-03  6.12781532e-02 -6.15602033e-03 ... -2.32026912e-02
    -6.87713502e-04 -6.00...
[ 2018-10-17 17:08:07,153 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,153 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/weights/read
[ 2018-10-17 17:08:07,153 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,153 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,156 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 224 256], value = [[[[-5.04731713e-03  6.12781532e-02 -6.15602033e-03 ... -2.32026912e-02
    -6.87713502e-04 -6.00...
[ 2018-10-17 17:08:07,156 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,158 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-5.04731713e-03  6.12781532e-02 -6.15602033e-03 ... -2.32026912e-02
    -6.87713502e-04 -6.00...
[ 2018-10-17 17:08:07,159 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,159 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,159 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,159 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,159 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,161 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.52339286 0.19932617 0.40620148 0.5774406  0.40622398 0.42675626
 0.2447701  0.24874146 0.26610...
[ 2018-10-17 17:08:07,162 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,162 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,162 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,162 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,164 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.52339286 0.19932617 0.40620148 0.5774406  0.40622398 0.42675626
 0.2447701  0.24874146 0.26610...
[ 2018-10-17 17:08:07,164 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,166 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.52339286 0.19932617 0.40620148 0.5774406  0.40622398 0.42675626
 0.2447701  0.24874146 0.26610...
[ 2018-10-17 17:08:07,167 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,167 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,167 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,167 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,167 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,169 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.51141953 -0.37047017 -0.12558722 -0.40544567 -0.24287114 -0.39493173
 -0.39096385 -0.27028382...
[ 2018-10-17 17:08:07,169 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,169 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,169 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,170 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,172 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.51141953 -0.37047017 -0.12558722 -0.40544567 -0.24287114 -0.39493173
 -0.39096385 -0.27028382...
[ 2018-10-17 17:08:07,172 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,174 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.51141953 -0.37047017 -0.12558722 -0.40544567 -0.24287114 -0.39493173
 -0.39096385 -0.27028382...
[ 2018-10-17 17:08:07,175 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,175 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
[ 2018-10-17 17:08:07,175 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,175 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,175 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,177 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.43812042 -0.8699977  -0.55537885  0.00315851 -0.2945329  -0.56921655
 -0.83955526 -0.6814741 ...
[ 2018-10-17 17:08:07,178 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,178 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,178 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,178 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,180 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [ 0.43812042 -0.8699977  -0.55537885  0.00315851 -0.2945329  -0.56921655
 -0.83955526 -0.6814741 ...
[ 2018-10-17 17:08:07,180 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,182 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.43812042 -0.8699977  -0.55537885  0.00315851 -0.2945329  -0.56921655
 -0.83955526 -0.6814741 ...
[ 2018-10-17 17:08:07,183 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,183 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/weights
[ 2018-10-17 17:08:07,183 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,183 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,183 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,186 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-8.18150863e-03  2.95199663e-03 -1.26209874e-02 ... -2.53142812e-03
     4.98718256e-03  3.82...
[ 2018-10-17 17:08:07,186 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,186 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/weights/read
[ 2018-10-17 17:08:07,186 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,187 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,189 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 224], value = [[[[-8.18150863e-03  2.95199663e-03 -1.26209874e-02 ... -2.53142812e-03
     4.98718256e-03  3.82...
[ 2018-10-17 17:08:07,190 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,192 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-8.18150863e-03  2.95199663e-03 -1.26209874e-02 ... -2.53142812e-03
     4.98718256e-03  3.82...
[ 2018-10-17 17:08:07,192 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,192 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,192 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,193 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,193 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,195 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.24420348 0.22466321 0.33941594 0.25211236 0.4413081  0.3078778
 0.21520825 0.18006207 0.253390...
[ 2018-10-17 17:08:07,195 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,195 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,195 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,195 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,198 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.24420348 0.22466321 0.33941594 0.25211236 0.4413081  0.3078778
 0.21520825 0.18006207 0.253390...
[ 2018-10-17 17:08:07,198 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,200 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.24420348 0.22466321 0.33941594 0.25211236 0.4413081  0.3078778
 0.21520825 0.18006207 0.253390...
[ 2018-10-17 17:08:07,200 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,200 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,200 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,200 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,200 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,203 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.88059062e-01 -4.83233541e-01  3.93084764e-01  3.44289094e-02
  2.88647175e-01 -5.00048995e-01...
[ 2018-10-17 17:08:07,203 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,203 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,203 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,203 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,206 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-1.88059062e-01 -4.83233541e-01  3.93084764e-01  3.44289094e-02
  2.88647175e-01 -5.00048995e-01...
[ 2018-10-17 17:08:07,206 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,208 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.88059062e-01 -4.83233541e-01  3.93084764e-01  3.44289094e-02
  2.88647175e-01 -5.00048995e-01...
[ 2018-10-17 17:08:07,209 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,209 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
[ 2018-10-17 17:08:07,209 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,209 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,209 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,211 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-6.14721119e-01 -4.83924747e-01 -3.33409935e-01 -6.00036085e-01
 -8.97234976e-02 -2.61188656e-01...
[ 2018-10-17 17:08:07,211 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,211 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:07,211 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,212 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,214 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-6.14721119e-01 -4.83924747e-01 -3.33409935e-01 -6.00036085e-01
 -8.97234976e-02 -2.61188656e-01...
[ 2018-10-17 17:08:07,214 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,216 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-6.14721119e-01 -4.83924747e-01 -3.33409935e-01 -6.00036085e-01
 -8.97234976e-02 -2.61188656e-01...
[ 2018-10-17 17:08:07,216 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,217 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/weights
[ 2018-10-17 17:08:07,217 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,217 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,219 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,222 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-1.28000295e-02 -1.09110503e-02  3.39840688e-02 ...  1.56250596e-02
     3.80981923e-03 -4.19...
[ 2018-10-17 17:08:07,223 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,223 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/weights/read
[ 2018-10-17 17:08:07,223 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,223 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,226 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[-1.28000295e-02 -1.09110503e-02  3.39840688e-02 ...  1.56250596e-02
     3.80981923e-03 -4.19...
[ 2018-10-17 17:08:07,226 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,228 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-1.28000295e-02 -1.09110503e-02  3.39840688e-02 ...  1.56250596e-02
     3.80981923e-03 -4.19...
[ 2018-10-17 17:08:07,229 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,229 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,229 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,229 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,229 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,231 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.6657288  0.2753766  0.5113683  0.50164807 0.30098537 0.60274386
 0.30434412 0.63755065 0.32328...
[ 2018-10-17 17:08:07,232 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,232 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,232 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,232 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,234 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.6657288  0.2753766  0.5113683  0.50164807 0.30098537 0.60274386
 0.30434412 0.63755065 0.32328...
[ 2018-10-17 17:08:07,234 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,236 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.6657288  0.2753766  0.5113683  0.50164807 0.30098537 0.60274386
 0.30434412 0.63755065 0.32328...
[ 2018-10-17 17:08:07,236 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,236 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,237 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,237 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,237 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,239 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 3.91182780e-01 -1.92256942e-01 -4.83509719e-01 -1.77802593e-01
 -2.58713156e-01  2.52947748e-01...
[ 2018-10-17 17:08:07,239 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,239 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,239 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,239 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,241 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [ 3.91182780e-01 -1.92256942e-01 -4.83509719e-01 -1.77802593e-01
 -2.58713156e-01  2.52947748e-01...
[ 2018-10-17 17:08:07,241 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,243 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 3.91182780e-01 -1.92256942e-01 -4.83509719e-01 -1.77802593e-01
 -2.58713156e-01  2.52947748e-01...
[ 2018-10-17 17:08:07,243 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,244 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
[ 2018-10-17 17:08:07,244 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,244 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,244 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,246 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.5002180e-01 -9.5995253e-01 -2.9191637e-01 -5.3095472e-01
 -8.4302849e-01 -3.8889351e-01 -6.94...
[ 2018-10-17 17:08:07,246 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,246 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,246 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,246 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,248 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-4.5002180e-01 -9.5995253e-01 -2.9191637e-01 -5.3095472e-01
 -8.4302849e-01 -3.8889351e-01 -6.94...
[ 2018-10-17 17:08:07,248 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,250 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-4.5002180e-01 -9.5995253e-01 -2.9191637e-01 -5.3095472e-01
 -8.4302849e-01 -3.8889351e-01 -6.94...
[ 2018-10-17 17:08:07,250 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,250 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/weights
[ 2018-10-17 17:08:07,250 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,251 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,251 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,253 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[ 1.60010625e-02 -4.49499069e-03  3.22529837e-03 ... -2.78994571e-02
    -1.20813679e-02  6.61...
[ 2018-10-17 17:08:07,254 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,254 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/weights/read
[ 2018-10-17 17:08:07,254 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,254 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,257 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 192 192], value = [[[[ 1.60010625e-02 -4.49499069e-03  3.22529837e-03 ... -2.78994571e-02
    -1.20813679e-02  6.61...
[ 2018-10-17 17:08:07,257 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,259 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[ 1.60010625e-02 -4.49499069e-03  3.22529837e-03 ... -2.78994571e-02
    -1.20813679e-02  6.61...
[ 2018-10-17 17:08:07,259 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,260 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,260 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,260 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,260 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,262 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.28596836 0.1176138  0.19462374 0.24296694 0.388498   0.2937937
 0.2583098  0.19835635 0.244146...
[ 2018-10-17 17:08:07,262 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,263 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,263 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,263 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,265 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.28596836 0.1176138  0.19462374 0.24296694 0.388498   0.2937937
 0.2583098  0.19835635 0.244146...
[ 2018-10-17 17:08:07,265 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,267 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.28596836 0.1176138  0.19462374 0.24296694 0.388498   0.2937937
 0.2583098  0.19835635 0.244146...
[ 2018-10-17 17:08:07,268 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,268 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,268 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,268 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,268 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,270 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.36041921e-03 -3.41656543e-02 -1.25642478e-01 -2.15561926e-01
  9.50177789e-01  4.04185921e-01...
[ 2018-10-17 17:08:07,270 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,270 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,271 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,271 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,273 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-1.36041921e-03 -3.41656543e-02 -1.25642478e-01 -2.15561926e-01
  9.50177789e-01  4.04185921e-01...
[ 2018-10-17 17:08:07,273 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,275 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.36041921e-03 -3.41656543e-02 -1.25642478e-01 -2.15561926e-01
  9.50177789e-01  4.04185921e-01...
[ 2018-10-17 17:08:07,275 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,275 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,275 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,275 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,275 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,277 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.26120615e-01 -1.13761735e+00 -6.06539607e-01 -5.38183391e-01
 -3.03639412e-01 -1.59142315e-01...
[ 2018-10-17 17:08:07,278 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,278 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,278 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,278 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,280 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-3.26120615e-01 -1.13761735e+00 -6.06539607e-01 -5.38183391e-01
 -3.03639412e-01 -1.59142315e-01...
[ 2018-10-17 17:08:07,280 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,282 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.26120615e-01 -1.13761735e+00 -6.06539607e-01 -5.38183391e-01
 -3.03639412e-01 -1.59142315e-01...
[ 2018-10-17 17:08:07,282 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,282 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,283 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,283 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,283 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,284 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-1.87705848e-02 -2.00556219e-03 -4.28938586e-03 ... -6.85071433e-03
     7.02062203e-03 -8.33...
[ 2018-10-17 17:08:07,284 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,284 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,284 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,284 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,285 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-1.87705848e-02 -2.00556219e-03 -4.28938586e-03 ... -6.85071433e-03
     7.02062203e-03 -8.33...
[ 2018-10-17 17:08:07,285 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,286 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-1.87705848e-02 -2.00556219e-03 -4.28938586e-03 ... -6.85071433e-03
     7.02062203e-03 -8.33...
[ 2018-10-17 17:08:07,286 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,286 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,286 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,286 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,286 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,289 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.37157044 0.5043529  3.3268847  0.32918656 3.6413434  0.5832643
 0.5052324  0.38112396 0.469944...
[ 2018-10-17 17:08:07,289 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,289 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,289 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,289 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,292 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.37157044 0.5043529  3.3268847  0.32918656 3.6413434  0.5832643
 0.5052324  0.38112396 0.469944...
[ 2018-10-17 17:08:07,292 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,294 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.37157044 0.5043529  3.3268847  0.32918656 3.6413434  0.5832643
 0.5052324  0.38112396 0.469944...
[ 2018-10-17 17:08:07,295 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,295 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,295 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,295 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,295 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,297 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7300821  -0.14588441 -0.03160847 -0.2805917  -0.01226924 -0.65834725
 -0.0500084   0.073048  ...
[ 2018-10-17 17:08:07,298 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,298 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,298 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,298 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,300 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.7300821  -0.14588441 -0.03160847 -0.2805917  -0.01226924 -0.65834725
 -0.0500084   0.073048  ...
[ 2018-10-17 17:08:07,301 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,303 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7300821  -0.14588441 -0.03160847 -0.2805917  -0.01226924 -0.65834725
 -0.0500084   0.073048  ...
[ 2018-10-17 17:08:07,303 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,303 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:07,303 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,304 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,304 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,306 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-5.88495135e-01 -5.04763544e-01 -3.26454155e-02 -4.14251119e-01
  4.17806983e-01 -7.89636970e-01...
[ 2018-10-17 17:08:07,307 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,307 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,307 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,307 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,310 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-5.88495135e-01 -5.04763544e-01 -3.26454155e-02 -4.14251119e-01
  4.17806983e-01 -7.89636970e-01...
[ 2018-10-17 17:08:07,310 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,313 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-5.88495135e-01 -5.04763544e-01 -3.26454155e-02 -4.14251119e-01
  4.17806983e-01 -7.89636970e-01...
[ 2018-10-17 17:08:07,313 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,313 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:07,313 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,313 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,313 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,316 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 3.31458868e-03  6.49274606e-03 -6.62965421e-03 ...  9.46268067e-03
    -5.12726512e-03 -4.63...
[ 2018-10-17 17:08:07,316 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,316 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:07,316 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,316 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,319 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 256], value = [[[[ 3.31458868e-03  6.49274606e-03 -6.62965421e-03 ...  9.46268067e-03
    -5.12726512e-03 -4.63...
[ 2018-10-17 17:08:07,319 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,321 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 3.31458868e-03  6.49274606e-03 -6.62965421e-03 ...  9.46268067e-03
    -5.12726512e-03 -4.63...
[ 2018-10-17 17:08:07,322 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,322 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,322 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,322 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,322 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,324 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.18984097 0.22900118 0.28351137 0.2703015  0.08088855 0.11779885
 0.23530875 0.11601057 0.15127...
[ 2018-10-17 17:08:07,325 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,325 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,325 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,325 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,327 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.18984097 0.22900118 0.28351137 0.2703015  0.08088855 0.11779885
 0.23530875 0.11601057 0.15127...
[ 2018-10-17 17:08:07,327 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,329 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.18984097 0.22900118 0.28351137 0.2703015  0.08088855 0.11779885
 0.23530875 0.11601057 0.15127...
[ 2018-10-17 17:08:07,329 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,330 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,330 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,330 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,330 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,332 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.0751691  -0.1727946   0.07812444 -0.09881052 -0.10299469 -0.1492048
 -0.23235738 -0.44782877 ...
[ 2018-10-17 17:08:07,332 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,332 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,332 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,333 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,335 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [ 0.0751691  -0.1727946   0.07812444 -0.09881052 -0.10299469 -0.1492048
 -0.23235738 -0.44782877 ...
[ 2018-10-17 17:08:07,335 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,337 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.0751691  -0.1727946   0.07812444 -0.09881052 -0.10299469 -0.1492048
 -0.23235738 -0.44782877 ...
[ 2018-10-17 17:08:07,337 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,338 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:07,338 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,338 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,338 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,340 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.22989166 -0.80805796 -0.31320235 -0.56205124 -0.7951046  -0.5049579
 -0.48488808 -0.44273835 ...
[ 2018-10-17 17:08:07,340 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,341 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:07,341 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,341 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,343 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [ 0.22989166 -0.80805796 -0.31320235 -0.56205124 -0.7951046  -0.5049579
 -0.48488808 -0.44273835 ...
[ 2018-10-17 17:08:07,343 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,345 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.22989166 -0.80805796 -0.31320235 -0.56205124 -0.7951046  -0.5049579
 -0.48488808 -0.44273835 ...
[ 2018-10-17 17:08:07,345 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,346 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:07,346 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,346 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,346 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,349 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 9.00458172e-03  3.83178936e-03 -1.36887208e-02 ... -4.10429668e-03
     8.86141043e-03  4.51...
[ 2018-10-17 17:08:07,349 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,349 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:07,349 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,349 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,352 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 9.00458172e-03  3.83178936e-03 -1.36887208e-02 ... -4.10429668e-03
     8.86141043e-03  4.51...
[ 2018-10-17 17:08:07,352 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,355 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 9.00458172e-03  3.83178936e-03 -1.36887208e-02 ... -4.10429668e-03
     8.86141043e-03  4.51...
[ 2018-10-17 17:08:07,355 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,355 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,355 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,356 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,356 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,358 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.588376   0.21184239 0.30141094 0.21732578 0.28738683 0.22958899
 0.23824549 0.23498116 0.26638...
[ 2018-10-17 17:08:07,358 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,358 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,358 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,358 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,360 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.588376   0.21184239 0.30141094 0.21732578 0.28738683 0.22958899
 0.23824549 0.23498116 0.26638...
[ 2018-10-17 17:08:07,360 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,362 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.588376   0.21184239 0.30141094 0.21732578 0.28738683 0.22958899
 0.23824549 0.23498116 0.26638...
[ 2018-10-17 17:08:07,362 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,362 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,362 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,363 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,363 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,365 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 0.29858804 -0.01069703 -0.31949845 -0.16935246  0.00154271 -0.25726938
 -0.44345275  0.9646654 ...
[ 2018-10-17 17:08:07,365 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,365 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,365 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,366 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,367 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [ 0.29858804 -0.01069703 -0.31949845 -0.16935246  0.00154271 -0.25726938
 -0.44345275  0.9646654 ...
[ 2018-10-17 17:08:07,368 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,370 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 0.29858804 -0.01069703 -0.31949845 -0.16935246  0.00154271 -0.25726938
 -0.44345275  0.9646654 ...
[ 2018-10-17 17:08:07,370 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,370 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,370 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,370 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,370 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,372 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-2.15646580e-01 -9.00047779e-01 -6.07264698e-01 -8.93098414e-01
 -8.21107388e-01 -8.96440327e-01...
[ 2018-10-17 17:08:07,372 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,372 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,372 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,373 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,375 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-2.15646580e-01 -9.00047779e-01 -6.07264698e-01 -8.93098414e-01
 -8.21107388e-01 -8.96440327e-01...
[ 2018-10-17 17:08:07,375 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,377 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-2.15646580e-01 -9.00047779e-01 -6.07264698e-01 -8.93098414e-01
 -8.21107388e-01 -8.96440327e-01...
[ 2018-10-17 17:08:07,377 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,377 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,377 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,377 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,377 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,378 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.00586138 -0.01270149  0.00148267 ... -0.0051339   0.01737739
     0.00676687]
   [-0.00612...
[ 2018-10-17 17:08:07,378 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,378 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,378 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,378 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,379 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-0.00586138 -0.01270149  0.00148267 ... -0.0051339   0.01737739
     0.00676687]
   [-0.00612...
[ 2018-10-17 17:08:07,379 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,380 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.00586138 -0.01270149  0.00148267 ... -0.0051339   0.01737739
     0.00676687]
   [-0.00612...
[ 2018-10-17 17:08:07,380 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,380 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,380 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,380 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,381 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,384 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.24038766 0.35107592 0.4057397  0.8279359  0.4153215  0.38522586
 0.5726017  0.3538075  0.37103...
[ 2018-10-17 17:08:07,384 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,385 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,385 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,385 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,389 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.24038766 0.35107592 0.4057397  0.8279359  0.4153215  0.38522586
 0.5726017  0.3538075  0.37103...
[ 2018-10-17 17:08:07,389 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,393 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.24038766 0.35107592 0.4057397  0.8279359  0.4153215  0.38522586
 0.5726017  0.3538075  0.37103...
[ 2018-10-17 17:08:07,393 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,393 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,393 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,394 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,394 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,397 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 1.66485906e-01  1.06071448e-02 -1.05831516e+00 -2.87573367e-01
 -4.85226125e-01  9.81084779e-02...
[ 2018-10-17 17:08:07,398 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,398 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,398 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,398 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,402 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [ 1.66485906e-01  1.06071448e-02 -1.05831516e+00 -2.87573367e-01
 -4.85226125e-01  9.81084779e-02...
[ 2018-10-17 17:08:07,402 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,405 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 1.66485906e-01  1.06071448e-02 -1.05831516e+00 -2.87573367e-01
 -4.85226125e-01  9.81084779e-02...
[ 2018-10-17 17:08:07,406 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,406 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,406 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,406 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,406 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,410 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-5.43867171e-01 -4.30171311e-01 -7.50703216e-01 -2.13963270e-01
 -4.06335860e-01 -5.00188828e-01...
[ 2018-10-17 17:08:07,410 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,410 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,410 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,410 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,414 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-5.43867171e-01 -4.30171311e-01 -7.50703216e-01 -2.13963270e-01
 -4.06335860e-01 -5.00188828e-01...
[ 2018-10-17 17:08:07,414 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,418 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-5.43867171e-01 -4.30171311e-01 -7.50703216e-01 -2.13963270e-01
 -4.06335860e-01 -5.00188828e-01...
[ 2018-10-17 17:08:07,418 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,418 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,418 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,418 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,418 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,419 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[ 0.00718516  0.00336887  0.02206648 ...  0.00261192 -0.03113639
     0.00820288]
   [ 0.00821...
[ 2018-10-17 17:08:07,419 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,419 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,419 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,420 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,421 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  384], value = [[[[ 0.00718516  0.00336887  0.02206648 ...  0.00261192 -0.03113639
     0.00820288]
   [ 0.00821...
[ 2018-10-17 17:08:07,421 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,421 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[ 0.00718516  0.00336887  0.02206648 ...  0.00261192 -0.03113639
     0.00820288]
   [ 0.00821...
[ 2018-10-17 17:08:07,422 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,422 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,422 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,422 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,422 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,423 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.30147907 0.29898784 0.33466208 0.2294001  0.2879955  0.5966791
 0.28546843 0.33852264 0.289397...
[ 2018-10-17 17:08:07,424 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,424 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,424 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,424 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,426 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [0.30147907 0.29898784 0.33466208 0.2294001  0.2879955  0.5966791
 0.28546843 0.33852264 0.289397...
[ 2018-10-17 17:08:07,426 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,427 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [0.30147907 0.29898784 0.33466208 0.2294001  0.2879955  0.5966791
 0.28546843 0.33852264 0.289397...
[ 2018-10-17 17:08:07,428 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,428 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,428 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,428 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,428 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,429 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-1.40688396e+00 -5.14528871e-01 -5.54126084e-01 -3.94533008e-01
 -1.59976617e-01  3.90107781e-01...
[ 2018-10-17 17:08:07,430 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,430 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,430 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,430 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,431 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-1.40688396e+00 -5.14528871e-01 -5.54126084e-01 -3.94533008e-01
 -1.59976617e-01  3.90107781e-01...
[ 2018-10-17 17:08:07,431 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,433 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-1.40688396e+00 -5.14528871e-01 -5.54126084e-01 -3.94533008e-01
 -1.59976617e-01  3.90107781e-01...
[ 2018-10-17 17:08:07,433 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,433 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,433 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,434 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,434 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,435 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.71753573 -0.72080874 -0.59457046 -0.76273507 -0.6971414  -0.5146064
 -0.47561648 -0.50613505 ...
[ 2018-10-17 17:08:07,435 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,435 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,435 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,436 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,437 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [128], value = [-0.71753573 -0.72080874 -0.59457046 -0.76273507 -0.6971414  -0.5146064
 -0.47561648 -0.50613505 ...
[ 2018-10-17 17:08:07,437 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,439 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [128], value = [-0.71753573 -0.72080874 -0.59457046 -0.76273507 -0.6971414  -0.5146064
 -0.47561648 -0.50613505 ...
[ 2018-10-17 17:08:07,439 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,439 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:07,439 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,439 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,440 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,440 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[-0.03462129  0.05851246  0.01253952 ...  0.00503928  0.00875339
     0.01298004]
   [ 0.00275...
[ 2018-10-17 17:08:07,440 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,441 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:07,441 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,441 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,441 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  128], value = [[[[-0.03462129  0.05851246  0.01253952 ...  0.00503928  0.00875339
     0.01298004]
   [ 0.00275...
[ 2018-10-17 17:08:07,442 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,442 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  128], value = [[[[-0.03462129  0.05851246  0.01253952 ...  0.00503928  0.00875339
     0.01298004]
   [ 0.00275...
[ 2018-10-17 17:08:07,442 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,443 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,443 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,443 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,443 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,445 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.42924026 0.3207846  0.9112227  0.5390023  0.31441718 3.9300752
 0.40293843 0.20773233 1.012007...
[ 2018-10-17 17:08:07,446 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,446 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,446 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,446 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,448 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.42924026 0.3207846  0.9112227  0.5390023  0.31441718 3.9300752
 0.40293843 0.20773233 1.012007...
[ 2018-10-17 17:08:07,448 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,451 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.42924026 0.3207846  0.9112227  0.5390023  0.31441718 3.9300752
 0.40293843 0.20773233 1.012007...
[ 2018-10-17 17:08:07,451 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,451 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,451 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,451 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,451 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,454 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.83397245 -0.8386765  -1.0340625  -0.34724605 -0.5241763  -0.46909124
 -0.19815461 -0.60340625...
[ 2018-10-17 17:08:07,454 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,454 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,455 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,455 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,457 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.83397245 -0.8386765  -1.0340625  -0.34724605 -0.5241763  -0.46909124
 -0.19815461 -0.60340625...
[ 2018-10-17 17:08:07,457 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,460 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.83397245 -0.8386765  -1.0340625  -0.34724605 -0.5241763  -0.46909124
 -0.19815461 -0.60340625...
[ 2018-10-17 17:08:07,460 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,460 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
[ 2018-10-17 17:08:07,460 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,461 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,461 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,463 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.6945845  -1.2185707  -0.4008262  -0.8767155  -0.87556714  0.3916416
 -0.9117763  -0.9829368  ...
[ 2018-10-17 17:08:07,464 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,464 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:07,464 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,464 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,467 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.6945845  -1.2185707  -0.4008262  -0.8767155  -0.87556714  0.3916416
 -0.9117763  -0.9829368  ...
[ 2018-10-17 17:08:07,467 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,470 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.6945845  -1.2185707  -0.4008262  -0.8767155  -0.87556714  0.3916416
 -0.9117763  -0.9829368  ...
[ 2018-10-17 17:08:07,470 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,470 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/weights
[ 2018-10-17 17:08:07,470 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,470 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,470 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,473 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-0.01089026 -0.015551    0.00181807 ... -0.01908748 -0.01087412
    -0.02051688]
   [-0.04029...
[ 2018-10-17 17:08:07,473 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,473 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/weights/read
[ 2018-10-17 17:08:07,473 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,473 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,476 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 224 256], value = [[[[-0.01089026 -0.015551    0.00181807 ... -0.01908748 -0.01087412
    -0.02051688]
   [-0.04029...
[ 2018-10-17 17:08:07,476 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,478 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 224 256], value = [[[[-0.01089026 -0.015551    0.00181807 ... -0.01908748 -0.01087412
    -0.02051688]
   [-0.04029...
[ 2018-10-17 17:08:07,479 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,479 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,479 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,479 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,479 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,481 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.1329571  0.37745294 0.15888688 0.15861069 0.14949979 0.1382487
 0.13022266 0.19871691 0.319689...
[ 2018-10-17 17:08:07,481 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,481 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,482 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,482 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,484 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.1329571  0.37745294 0.15888688 0.15861069 0.14949979 0.1382487
 0.13022266 0.19871691 0.319689...
[ 2018-10-17 17:08:07,484 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,486 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.1329571  0.37745294 0.15888688 0.15861069 0.14949979 0.1382487
 0.13022266 0.19871691 0.319689...
[ 2018-10-17 17:08:07,487 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,487 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,487 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,487 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,487 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,489 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.19766107 -0.40407756 -0.14763516 -0.26064923  0.22768293 -0.33479053
 -0.34830618  0.00801639...
[ 2018-10-17 17:08:07,489 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,489 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,490 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,490 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,492 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [ 0.19766107 -0.40407756 -0.14763516 -0.26064923  0.22768293 -0.33479053
 -0.34830618  0.00801639...
[ 2018-10-17 17:08:07,492 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,494 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [ 0.19766107 -0.40407756 -0.14763516 -0.26064923  0.22768293 -0.33479053
 -0.34830618  0.00801639...
[ 2018-10-17 17:08:07,494 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,495 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
[ 2018-10-17 17:08:07,495 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,495 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,495 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,497 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.9132813   0.03499109 -0.5277126  -0.41252097 -1.624132   -0.63813496
 -0.9270529  -1.4885293 ...
[ 2018-10-17 17:08:07,497 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,497 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,498 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,498 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,500 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.9132813   0.03499109 -0.5277126  -0.41252097 -1.624132   -0.63813496
 -0.9270529  -1.4885293 ...
[ 2018-10-17 17:08:07,500 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,503 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.9132813   0.03499109 -0.5277126  -0.41252097 -1.624132   -0.63813496
 -0.9270529  -1.4885293 ...
[ 2018-10-17 17:08:07,503 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,503 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/weights
[ 2018-10-17 17:08:07,503 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,503 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,503 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,506 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-2.67532021e-02  1.48060464e-03  9.45358828e-04 ... -3.31771374e-02
     1.01390490e-02 -1.59...
[ 2018-10-17 17:08:07,506 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,507 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/weights/read
[ 2018-10-17 17:08:07,507 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,507 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,510 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 224], value = [[[[-2.67532021e-02  1.48060464e-03  9.45358828e-04 ... -3.31771374e-02
     1.01390490e-02 -1.59...
[ 2018-10-17 17:08:07,510 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,512 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 224], value = [[[[-2.67532021e-02  1.48060464e-03  9.45358828e-04 ... -3.31771374e-02
     1.01390490e-02 -1.59...
[ 2018-10-17 17:08:07,512 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,512 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,513 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,513 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,513 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,515 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.23190153 0.3005409  0.14851755 0.18599044 0.20452696 0.11279035
 0.2897376  0.19271365 0.14248...
[ 2018-10-17 17:08:07,515 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,515 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,515 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,515 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,518 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.23190153 0.3005409  0.14851755 0.18599044 0.20452696 0.11279035
 0.2897376  0.19271365 0.14248...
[ 2018-10-17 17:08:07,518 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,520 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.23190153 0.3005409  0.14851755 0.18599044 0.20452696 0.11279035
 0.2897376  0.19271365 0.14248...
[ 2018-10-17 17:08:07,520 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,520 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,520 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,520 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,520 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,523 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.51381844 -0.66540045 -0.24188894 -0.4247735  -0.480528   -0.02346819
 -0.15750371 -0.611802  ...
[ 2018-10-17 17:08:07,523 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,523 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,523 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,523 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,526 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.51381844 -0.66540045 -0.24188894 -0.4247735  -0.480528   -0.02346819
 -0.15750371 -0.611802  ...
[ 2018-10-17 17:08:07,526 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,528 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.51381844 -0.66540045 -0.24188894 -0.4247735  -0.480528   -0.02346819
 -0.15750371 -0.611802  ...
[ 2018-10-17 17:08:07,528 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,528 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
[ 2018-10-17 17:08:07,528 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,528 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,528 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,531 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.6767866  -0.40824947 -0.9750391  -0.72862464 -0.9440759  -1.2038217
 -0.3960384  -0.7255677  ...
[ 2018-10-17 17:08:07,531 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,531 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:07,531 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,531 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,534 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.6767866  -0.40824947 -0.9750391  -0.72862464 -0.9440759  -1.2038217
 -0.3960384  -0.7255677  ...
[ 2018-10-17 17:08:07,534 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,536 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.6767866  -0.40824947 -0.9750391  -0.72862464 -0.9440759  -1.2038217
 -0.3960384  -0.7255677  ...
[ 2018-10-17 17:08:07,536 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,536 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/weights
[ 2018-10-17 17:08:07,537 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,537 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,537 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,539 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 0.0201811   0.00983356 -0.01874843 ...  0.02174833 -0.02026645
     0.00334722]
   [-0.01323...
[ 2018-10-17 17:08:07,539 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,539 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/weights/read
[ 2018-10-17 17:08:07,540 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,540 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,542 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[ 0.0201811   0.00983356 -0.01874843 ...  0.02174833 -0.02026645
     0.00334722]
   [-0.01323...
[ 2018-10-17 17:08:07,542 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,545 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[ 0.0201811   0.00983356 -0.01874843 ...  0.02174833 -0.02026645
     0.00334722]
   [-0.01323...
[ 2018-10-17 17:08:07,545 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,545 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,545 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,545 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,545 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,548 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1.1045517  0.12226272 0.18427956 0.14069961 0.8563685  0.22696547
 0.22044192 0.17012203 0.14058...
[ 2018-10-17 17:08:07,548 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,548 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,548 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,548 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,550 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [1.1045517  0.12226272 0.18427956 0.14069961 0.8563685  0.22696547
 0.22044192 0.17012203 0.14058...
[ 2018-10-17 17:08:07,550 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,552 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1.1045517  0.12226272 0.18427956 0.14069961 0.8563685  0.22696547
 0.22044192 0.17012203 0.14058...
[ 2018-10-17 17:08:07,553 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,553 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,553 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,553 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,553 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,555 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.46127272 -0.1562078  -0.46337295 -0.50323856  0.5580553  -0.24649815
 -0.18627    -0.2515804 ...
[ 2018-10-17 17:08:07,555 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,555 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,556 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,556 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,558 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.46127272 -0.1562078  -0.46337295 -0.50323856  0.5580553  -0.24649815
 -0.18627    -0.2515804 ...
[ 2018-10-17 17:08:07,558 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,560 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.46127272 -0.1562078  -0.46337295 -0.50323856  0.5580553  -0.24649815
 -0.18627    -0.2515804 ...
[ 2018-10-17 17:08:07,560 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,560 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
[ 2018-10-17 17:08:07,560 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,561 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,561 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,563 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.06125842 -1.1244353  -0.8476108  -0.95589197  0.03616021 -0.5012645
 -0.4434472  -0.7821077  ...
[ 2018-10-17 17:08:07,563 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,563 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,563 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,563 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,565 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.06125842 -1.1244353  -0.8476108  -0.95589197  0.03616021 -0.5012645
 -0.4434472  -0.7821077  ...
[ 2018-10-17 17:08:07,565 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,567 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.06125842 -1.1244353  -0.8476108  -0.95589197  0.03616021 -0.5012645
 -0.4434472  -0.7821077  ...
[ 2018-10-17 17:08:07,567 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,567 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/weights
[ 2018-10-17 17:08:07,567 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,567 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,567 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,570 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-2.60050613e-02 -1.87908101e-03  1.01976264e-02 ...  3.72061599e-03
    -1.02433085e-03  1.14...
[ 2018-10-17 17:08:07,570 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,570 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/weights/read
[ 2018-10-17 17:08:07,570 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,571 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,573 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 192 192], value = [[[[-2.60050613e-02 -1.87908101e-03  1.01976264e-02 ...  3.72061599e-03
    -1.02433085e-03  1.14...
[ 2018-10-17 17:08:07,573 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,576 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 192 192], value = [[[[-2.60050613e-02 -1.87908101e-03  1.01976264e-02 ...  3.72061599e-03
    -1.02433085e-03  1.14...
[ 2018-10-17 17:08:07,576 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,576 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,576 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,576 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,576 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,578 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.5621151  0.36465988 0.5458695  0.5744584  0.6266331  0.42509753
 0.33821672 0.57677835 0.34537...
[ 2018-10-17 17:08:07,578 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,578 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,579 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,579 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,581 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.5621151  0.36465988 0.5458695  0.5744584  0.6266331  0.42509753
 0.33821672 0.57677835 0.34537...
[ 2018-10-17 17:08:07,581 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,583 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.5621151  0.36465988 0.5458695  0.5744584  0.6266331  0.42509753
 0.33821672 0.57677835 0.34537...
[ 2018-10-17 17:08:07,583 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,583 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,583 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,583 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,584 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,586 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.47457632  0.9478483   0.25716043  0.04668796 -1.2929474   0.01281809
  0.52050316  0.62455976...
[ 2018-10-17 17:08:07,586 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,586 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,586 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,586 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,588 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.47457632  0.9478483   0.25716043  0.04668796 -1.2929474   0.01281809
  0.52050316  0.62455976...
[ 2018-10-17 17:08:07,589 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,591 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.47457632  0.9478483   0.25716043  0.04668796 -1.2929474   0.01281809
  0.52050316  0.62455976...
[ 2018-10-17 17:08:07,591 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,591 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,591 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,591 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,591 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,593 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5557474  -0.8361396  -0.8661841  -0.7460155  -0.5919895  -1.0906842
 -0.9441059  -0.7481331  ...
[ 2018-10-17 17:08:07,593 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,593 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,593 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,594 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,596 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.5557474  -0.8361396  -0.8661841  -0.7460155  -0.5919895  -1.0906842
 -0.9441059  -0.7481331  ...
[ 2018-10-17 17:08:07,596 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,598 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.5557474  -0.8361396  -0.8661841  -0.7460155  -0.5919895  -1.0906842
 -0.9441059  -0.7481331  ...
[ 2018-10-17 17:08:07,598 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,598 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,598 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,598 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,598 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,599 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-1.16573367e-02 -1.19965784e-02 -1.36457253e-02 ... -7.49039510e-03
    -1.69516597e-02 -9.37...
[ 2018-10-17 17:08:07,599 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,599 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,599 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,600 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,600 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-1.16573367e-02 -1.19965784e-02 -1.36457253e-02 ... -7.49039510e-03
    -1.69516597e-02 -9.37...
[ 2018-10-17 17:08:07,601 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,601 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-1.16573367e-02 -1.19965784e-02 -1.36457253e-02 ... -7.49039510e-03
    -1.69516597e-02 -9.37...
[ 2018-10-17 17:08:07,602 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,602 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,602 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,602 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,602 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,605 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.344225   0.3365919  0.29981077 0.3065516  0.31927264 0.348406
 0.43982705 0.25740945 0.5747469...
[ 2018-10-17 17:08:07,605 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,605 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,605 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,605 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,608 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [0.344225   0.3365919  0.29981077 0.3065516  0.31927264 0.348406
 0.43982705 0.25740945 0.5747469...
[ 2018-10-17 17:08:07,608 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,610 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [0.344225   0.3365919  0.29981077 0.3065516  0.31927264 0.348406
 0.43982705 0.25740945 0.5747469...
[ 2018-10-17 17:08:07,610 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,610 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,610 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,611 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,611 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,613 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-3.41541052e-01 -5.27691066e-01 -2.81257123e-01 -2.15036254e-02
 -9.64195967e-01 -2.79152721e-01...
[ 2018-10-17 17:08:07,613 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,614 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,614 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,614 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,618 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-3.41541052e-01 -5.27691066e-01 -2.81257123e-01 -2.15036254e-02
 -9.64195967e-01 -2.79152721e-01...
[ 2018-10-17 17:08:07,619 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,621 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-3.41541052e-01 -5.27691066e-01 -2.81257123e-01 -2.15036254e-02
 -9.64195967e-01 -2.79152721e-01...
[ 2018-10-17 17:08:07,621 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,621 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:07,622 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,622 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,622 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,624 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7433277  -0.64611393 -1.2248404  -1.3911371  -0.6613942  -0.8105399
 -0.43708116 -0.72216296 ...
[ 2018-10-17 17:08:07,625 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,625 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,625 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,625 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,628 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.7433277  -0.64611393 -1.2248404  -1.3911371  -0.6613942  -0.8105399
 -0.43708116 -0.72216296 ...
[ 2018-10-17 17:08:07,628 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,631 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.7433277  -0.64611393 -1.2248404  -1.3911371  -0.6613942  -0.8105399
 -0.43708116 -0.72216296 ...
[ 2018-10-17 17:08:07,631 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,631 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:07,631 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,631 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,631 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,634 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 4.9105375e-03 -6.0925991e-03  3.3005483e-02 ... -4.7515486e-03
     6.6237431e-03 -1.1662933...
[ 2018-10-17 17:08:07,634 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,634 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:07,634 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,635 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,637 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  7   1 224 256], value = [[[[ 4.9105375e-03 -6.0925991e-03  3.3005483e-02 ... -4.7515486e-03
     6.6237431e-03 -1.1662933...
[ 2018-10-17 17:08:07,637 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,639 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  7   1 224 256], value = [[[[ 4.9105375e-03 -6.0925991e-03  3.3005483e-02 ... -4.7515486e-03
     6.6237431e-03 -1.1662933...
[ 2018-10-17 17:08:07,640 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,640 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,640 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,640 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,640 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,642 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.41721272 0.19071758 0.50255823 0.34416872 0.41871986 0.3328601
 0.16677898 0.2307307  0.250397...
[ 2018-10-17 17:08:07,642 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,642 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,643 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,643 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,645 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.41721272 0.19071758 0.50255823 0.34416872 0.41871986 0.3328601
 0.16677898 0.2307307  0.250397...
[ 2018-10-17 17:08:07,645 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,648 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.41721272 0.19071758 0.50255823 0.34416872 0.41871986 0.3328601
 0.16677898 0.2307307  0.250397...
[ 2018-10-17 17:08:07,648 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,648 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,648 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,648 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,648 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,650 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.53363484 -0.17437752 -0.259609   -0.22448944 -0.7127811  -0.04593135
 -0.07131137 -0.293512  ...
[ 2018-10-17 17:08:07,651 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,651 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,651 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,651 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,653 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.53363484 -0.17437752 -0.259609   -0.22448944 -0.7127811  -0.04593135
 -0.07131137 -0.293512  ...
[ 2018-10-17 17:08:07,653 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,655 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.53363484 -0.17437752 -0.259609   -0.22448944 -0.7127811  -0.04593135
 -0.07131137 -0.293512  ...
[ 2018-10-17 17:08:07,656 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,656 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:07,656 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,656 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,656 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,658 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.58433205 -0.91391325 -0.60100734 -0.68665785 -0.41939726 -0.58790565
 -1.1988322  -0.85044223...
[ 2018-10-17 17:08:07,659 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,659 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:07,659 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,659 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,661 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.58433205 -0.91391325 -0.60100734 -0.68665785 -0.41939726 -0.58790565
 -1.1988322  -0.85044223...
[ 2018-10-17 17:08:07,661 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,664 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.58433205 -0.91391325 -0.60100734 -0.68665785 -0.41939726 -0.58790565
 -1.1988322  -0.85044223...
[ 2018-10-17 17:08:07,664 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,664 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:07,664 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,664 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,664 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,667 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-6.81114662e-03 -1.16402248e-03  7.38417124e-03 ...  6.13406010e-04
    -6.90103834e-03 -1.09...
[ 2018-10-17 17:08:07,667 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,667 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:07,668 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,668 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,670 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   7 192 224], value = [[[[-6.81114662e-03 -1.16402248e-03  7.38417124e-03 ...  6.13406010e-04
    -6.90103834e-03 -1.09...
[ 2018-10-17 17:08:07,670 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,673 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   7 192 224], value = [[[[-6.81114662e-03 -1.16402248e-03  7.38417124e-03 ...  6.13406010e-04
    -6.90103834e-03 -1.09...
[ 2018-10-17 17:08:07,673 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,673 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,674 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,674 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,674 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,676 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.43772203 1.2833278  0.6708505  0.8476264  0.44512814 0.42315298
 0.6074486  0.62942827 0.38681...
[ 2018-10-17 17:08:07,676 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,676 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,676 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,676 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,678 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.43772203 1.2833278  0.6708505  0.8476264  0.44512814 0.42315298
 0.6074486  0.62942827 0.38681...
[ 2018-10-17 17:08:07,678 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,680 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.43772203 1.2833278  0.6708505  0.8476264  0.44512814 0.42315298
 0.6074486  0.62942827 0.38681...
[ 2018-10-17 17:08:07,680 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,680 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,680 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,681 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,681 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,683 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 7.42094040e-01 -3.57164860e-01  3.99725288e-01  4.82729554e-01
  7.63808787e-01 -3.69024813e-01...
[ 2018-10-17 17:08:07,683 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,683 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,683 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,683 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,685 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [ 7.42094040e-01 -3.57164860e-01  3.99725288e-01  4.82729554e-01
  7.63808787e-01 -3.69024813e-01...
[ 2018-10-17 17:08:07,685 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,687 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [ 7.42094040e-01 -3.57164860e-01  3.99725288e-01  4.82729554e-01
  7.63808787e-01 -3.69024813e-01...
[ 2018-10-17 17:08:07,688 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,688 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,688 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,688 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,688 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,690 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.1789259  -0.36010778 -0.78101623 -0.45400426 -0.92916155 -0.8316858
 -0.8499692  -0.7307328  ...
[ 2018-10-17 17:08:07,690 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,691 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,691 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,691 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,693 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-1.1789259  -0.36010778 -0.78101623 -0.45400426 -0.92916155 -0.8316858
 -0.8499692  -0.7307328  ...
[ 2018-10-17 17:08:07,693 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,695 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-1.1789259  -0.36010778 -0.78101623 -0.45400426 -0.92916155 -0.8316858
 -0.8499692  -0.7307328  ...
[ 2018-10-17 17:08:07,695 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,695 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,695 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,695 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,696 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,696 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.0113747  -0.02273878 -0.01140064 ...  0.00124242 -0.03813182
    -0.03230025]
   [-0.01004...
[ 2018-10-17 17:08:07,696 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,697 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,697 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,697 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,697 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  192], value = [[[[-0.0113747  -0.02273878 -0.01140064 ...  0.00124242 -0.03813182
    -0.03230025]
   [-0.01004...
[ 2018-10-17 17:08:07,698 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,698 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  192], value = [[[[-0.0113747  -0.02273878 -0.01140064 ...  0.00124242 -0.03813182
    -0.03230025]
   [-0.01004...
[ 2018-10-17 17:08:07,698 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,699 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,699 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,699 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,699 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,703 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 0.5066511   0.67766845  0.95557624  1.0313374   0.77503234  0.74766755
  0.79179895  0.5671148 ...
[ 2018-10-17 17:08:07,703 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,703 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,703 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,703 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,707 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [ 0.5066511   0.67766845  0.95557624  1.0313374   0.77503234  0.74766755
  0.79179895  0.5671148 ...
[ 2018-10-17 17:08:07,708 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,711 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 0.5066511   0.67766845  0.95557624  1.0313374   0.77503234  0.74766755
  0.79179895  0.5671148 ...
[ 2018-10-17 17:08:07,711 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,711 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,712 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,712 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,712 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,715 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.50620025  0.288675   -0.2399776  -1.0957668  -0.83058256 -0.01562694
 -0.32910895 -0.3634491 ...
[ 2018-10-17 17:08:07,715 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,716 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,716 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,716 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,720 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.50620025  0.288675   -0.2399776  -1.0957668  -0.83058256 -0.01562694
 -0.32910895 -0.3634491 ...
[ 2018-10-17 17:08:07,720 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,723 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.50620025  0.288675   -0.2399776  -1.0957668  -0.83058256 -0.01562694
 -0.32910895 -0.3634491 ...
[ 2018-10-17 17:08:07,724 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,724 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,724 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,724 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,724 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,728 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.60031575 -0.24976102 -0.5354664  -0.3430819  -0.399645   -0.48231012
 -0.35918123 -0.37903517...
[ 2018-10-17 17:08:07,728 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,728 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,728 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,728 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,732 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.60031575 -0.24976102 -0.5354664  -0.3430819  -0.399645   -0.48231012
 -0.35918123 -0.37903517...
[ 2018-10-17 17:08:07,732 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,736 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.60031575 -0.24976102 -0.5354664  -0.3430819  -0.399645   -0.48231012
 -0.35918123 -0.37903517...
[ 2018-10-17 17:08:07,736 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,736 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,736 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,736 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,736 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,737 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[ 0.00595044 -0.03195796 -0.01744903 ...  0.01814583 -0.0069019
    -0.00769262]
   [ 0.000786...
[ 2018-10-17 17:08:07,737 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,737 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,738 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,738 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,738 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1 1024  384], value = [[[[ 0.00595044 -0.03195796 -0.01744903 ...  0.01814583 -0.0069019
    -0.00769262]
   [ 0.000786...
[ 2018-10-17 17:08:07,739 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,739 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1 1024  384], value = [[[[ 0.00595044 -0.03195796 -0.01744903 ...  0.01814583 -0.0069019
    -0.00769262]
   [ 0.000786...
[ 2018-10-17 17:08:07,739 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,740 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,740 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,740 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,740 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,742 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [2.67449260e-01 1.43866554e-01 2.03840256e-01 1.61490589e-01
 1.97171926e-01 8.69284645e-02 9.962...
[ 2018-10-17 17:08:07,742 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,743 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,743 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,743 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,746 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [2.67449260e-01 1.43866554e-01 2.03840256e-01 1.61490589e-01
 1.97171926e-01 8.69284645e-02 9.962...
[ 2018-10-17 17:08:07,746 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,749 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [2.67449260e-01 1.43866554e-01 2.03840256e-01 1.61490589e-01
 1.97171926e-01 8.69284645e-02 9.962...
[ 2018-10-17 17:08:07,749 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,749 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,749 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,749 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,749 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,752 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-2.5169131e-01 -1.5614426e-01 -1.4060308e-01 -2.2348739e-01
  2.5413714e-03 -2.6706749e-01 -2.17...
[ 2018-10-17 17:08:07,752 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,752 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,752 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,753 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,755 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-2.5169131e-01 -1.5614426e-01 -1.4060308e-01 -2.2348739e-01
  2.5413714e-03 -2.6706749e-01 -2.17...
[ 2018-10-17 17:08:07,755 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,758 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-2.5169131e-01 -1.5614426e-01 -1.4060308e-01 -2.2348739e-01
  2.5413714e-03 -2.6706749e-01 -2.17...
[ 2018-10-17 17:08:07,758 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,758 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:07,758 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,758 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,758 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,761 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.35851258 -0.46249107 -0.04899985 -0.4026215   0.08290846 -0.5528497
 -0.51388747 -0.4726909  ...
[ 2018-10-17 17:08:07,761 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,761 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:07,761 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,761 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,764 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [256], value = [-0.35851258 -0.46249107 -0.04899985 -0.4026215   0.08290846 -0.5528497
 -0.51388747 -0.4726909  ...
[ 2018-10-17 17:08:07,764 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,767 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [256], value = [-0.35851258 -0.46249107 -0.04899985 -0.4026215   0.08290846 -0.5528497
 -0.51388747 -0.4726909  ...
[ 2018-10-17 17:08:07,767 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,767 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:07,767 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,767 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,767 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,771 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 224 256], value = [[[[-5.04021998e-03 -5.33674425e-03 -2.70070555e-03 ...  2.09495388e-02
     1.47061801e-30 -1.10...
[ 2018-10-17 17:08:07,771 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,771 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:07,771 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,772 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,775 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   3 224 256], value = [[[[-5.04021998e-03 -5.33674425e-03 -2.70070555e-03 ...  2.09495388e-02
     1.47061801e-30 -1.10...
[ 2018-10-17 17:08:07,775 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,779 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 224 256], value = [[[[-5.04021998e-03 -5.33674425e-03 -2.70070555e-03 ...  2.09495388e-02
     1.47061801e-30 -1.10...
[ 2018-10-17 17:08:07,779 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,779 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,779 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,780 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,780 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,782 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.38532537 0.567096   0.4917387  0.48449335 0.70866    0.46690887
 0.80380076 0.71927273 0.33822...
[ 2018-10-17 17:08:07,782 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,782 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,783 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,783 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,785 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [0.38532537 0.567096   0.4917387  0.48449335 0.70866    0.46690887
 0.80380076 0.71927273 0.33822...
[ 2018-10-17 17:08:07,785 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,788 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [0.38532537 0.567096   0.4917387  0.48449335 0.70866    0.46690887
 0.80380076 0.71927273 0.33822...
[ 2018-10-17 17:08:07,788 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,788 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,788 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,788 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,788 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,791 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.05429674  0.47636372 -0.2550164  -0.4023324   0.12346926 -0.6404748
  0.94586474 -0.48592803 ...
[ 2018-10-17 17:08:07,791 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,791 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,791 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,791 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,794 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-0.05429674  0.47636372 -0.2550164  -0.4023324   0.12346926 -0.6404748
  0.94586474 -0.48592803 ...
[ 2018-10-17 17:08:07,794 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,796 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-0.05429674  0.47636372 -0.2550164  -0.4023324   0.12346926 -0.6404748
  0.94586474 -0.48592803 ...
[ 2018-10-17 17:08:07,796 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,796 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:07,797 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,797 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,797 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,799 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.1574774  -1.2282861  -0.6522882  -0.93913895 -1.495598   -0.72854227
 -1.6084855  -0.7775988 ...
[ 2018-10-17 17:08:07,799 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,799 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:07,799 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,800 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,802 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [224], value = [-1.1574774  -1.2282861  -0.6522882  -0.93913895 -1.495598   -0.72854227
 -1.6084855  -0.7775988 ...
[ 2018-10-17 17:08:07,802 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,804 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [224], value = [-1.1574774  -1.2282861  -0.6522882  -0.93913895 -1.495598   -0.72854227
 -1.6084855  -0.7775988 ...
[ 2018-10-17 17:08:07,804 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,804 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:07,804 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,805 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,805 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,808 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 192 224], value = [[[[ 1.77725200e-02 -1.86163082e-03 -2.53969934e-02 ...  5.27624227e-03
    -1.77430687e-03 -2.41...
[ 2018-10-17 17:08:07,808 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,809 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:07,809 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,809 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,812 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   3 192 224], value = [[[[ 1.77725200e-02 -1.86163082e-03 -2.53969934e-02 ...  5.27624227e-03
    -1.77430687e-03 -2.41...
[ 2018-10-17 17:08:07,813 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,816 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 192 224], value = [[[[ 1.77725200e-02 -1.86163082e-03 -2.53969934e-02 ...  5.27624227e-03
    -1.77430687e-03 -2.41...
[ 2018-10-17 17:08:07,816 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,816 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,817 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,817 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,817 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,819 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.11614819 0.11171143 0.11942653 0.10535567 0.18267737 0.13630271
 0.6672445  0.15976281 0.26470...
[ 2018-10-17 17:08:07,819 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,819 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,819 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,819 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,821 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [0.11614819 0.11171143 0.11942653 0.10535567 0.18267737 0.13630271
 0.6672445  0.15976281 0.26470...
[ 2018-10-17 17:08:07,821 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,823 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [0.11614819 0.11171143 0.11942653 0.10535567 0.18267737 0.13630271
 0.6672445  0.15976281 0.26470...
[ 2018-10-17 17:08:07,824 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,824 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,824 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,824 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,824 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,826 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.94155681e-02 -1.61736444e-01  2.07786292e-01 -1.39470361e-02
 -8.75874162e-02 -5.85722104e-02...
[ 2018-10-17 17:08:07,826 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,826 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,827 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,827 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,829 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-3.94155681e-02 -1.61736444e-01  2.07786292e-01 -1.39470361e-02
 -8.75874162e-02 -5.85722104e-02...
[ 2018-10-17 17:08:07,829 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,831 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-3.94155681e-02 -1.61736444e-01  2.07786292e-01 -1.39470361e-02
 -8.75874162e-02 -5.85722104e-02...
[ 2018-10-17 17:08:07,831 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,831 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,831 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,831 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,831 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,833 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.6022188  -0.9973158  -0.80637705 -1.0093179  -0.665061   -0.6622014
  0.37721714 -0.6845607  ...
[ 2018-10-17 17:08:07,834 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,834 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,834 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,834 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,836 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.6022188  -0.9973158  -0.80637705 -1.0093179  -0.665061   -0.6622014
  0.37721714 -0.6845607  ...
[ 2018-10-17 17:08:07,836 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,838 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.6022188  -0.9973158  -0.80637705 -1.0093179  -0.665061   -0.6622014
  0.37721714 -0.6845607  ...
[ 2018-10-17 17:08:07,838 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,838 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,838 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,838 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,838 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,839 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384 192], value = [[[[-0.01004866 -0.01183991 -0.01674514 ...  0.00342835  0.03709083
    -0.03012016]
   [ 0.02389...
[ 2018-10-17 17:08:07,840 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,840 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,840 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,840 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,841 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384 192], value = [[[[-0.01004866 -0.01183991 -0.01674514 ...  0.00342835  0.03709083
    -0.03012016]
   [ 0.02389...
[ 2018-10-17 17:08:07,841 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,841 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384 192], value = [[[[-0.01004866 -0.01183991 -0.01674514 ...  0.00342835  0.03709083
    -0.03012016]
   [ 0.02389...
[ 2018-10-17 17:08:07,842 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,842 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,842 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,842 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,842 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,846 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.9981787  0.507364   0.7863635  0.78405815 1.0544733  0.6949982
 0.5431797  0.6414181  1.023544...
[ 2018-10-17 17:08:07,846 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,846 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,846 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,846 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,850 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [0.9981787  0.507364   0.7863635  0.78405815 1.0544733  0.6949982
 0.5431797  0.6414181  1.023544...
[ 2018-10-17 17:08:07,850 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,853 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [0.9981787  0.507364   0.7863635  0.78405815 1.0544733  0.6949982
 0.5431797  0.6414181  1.023544...
[ 2018-10-17 17:08:07,854 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,854 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,854 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,854 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,854 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,858 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 6.29635453e-01  3.56593490e-01 -6.13724738e-02 -4.42611091e-02
  9.95658431e-03 -5.05619407e-01...
[ 2018-10-17 17:08:07,859 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,859 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,859 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,859 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,863 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [ 6.29635453e-01  3.56593490e-01 -6.13724738e-02 -4.42611091e-02
  9.95658431e-03 -5.05619407e-01...
[ 2018-10-17 17:08:07,863 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,867 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [ 6.29635453e-01  3.56593490e-01 -6.13724738e-02 -4.42611091e-02
  9.95658431e-03 -5.05619407e-01...
[ 2018-10-17 17:08:07,867 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,867 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:07,867 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,868 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,868 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,871 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.5990812  -0.9597587  -0.71110773 -0.7008654  -0.7313785  -0.817401
 -1.2363361  -0.9567621  -...
[ 2018-10-17 17:08:07,871 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,871 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:07,872 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,872 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,875 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [384], value = [-0.5990812  -0.9597587  -0.71110773 -0.7008654  -0.7313785  -0.817401
 -1.2363361  -0.9567621  -...
[ 2018-10-17 17:08:07,875 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,879 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [384], value = [-0.5990812  -0.9597587  -0.71110773 -0.7008654  -0.7313785  -0.817401
 -1.2363361  -0.9567621  -...
[ 2018-10-17 17:08:07,879 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,879 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:07,879 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,880 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,880 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,883 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 384 384], value = [[[[-4.51063784e-03 -5.39984647e-03 -7.63219222e-03 ... -1.06404093e-03
     3.96083063e-03 -7.95...
[ 2018-10-17 17:08:07,884 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,884 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:07,884 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,884 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,887 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   3 384 384], value = [[[[-4.51063784e-03 -5.39984647e-03 -7.63219222e-03 ... -1.06404093e-03
     3.96083063e-03 -7.95...
[ 2018-10-17 17:08:07,888 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,891 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 384 384], value = [[[[-4.51063784e-03 -5.39984647e-03 -7.63219222e-03 ... -1.06404093e-03
     3.96083063e-03 -7.95...
[ 2018-10-17 17:08:07,891 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,891 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,891 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,891 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,892 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,893 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.32014215 0.20930511 0.4332419  0.673403   0.33880475 0.17728618
 0.21831252 0.20471208 0.24378...
[ 2018-10-17 17:08:07,893 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,893 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,893 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,893 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,894 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.32014215 0.20930511 0.4332419  0.673403   0.33880475 0.17728618
 0.21831252 0.20471208 0.24378...
[ 2018-10-17 17:08:07,894 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,895 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.32014215 0.20930511 0.4332419  0.673403   0.33880475 0.17728618
 0.21831252 0.20471208 0.24378...
[ 2018-10-17 17:08:07,896 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,896 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,896 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,896 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,896 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,897 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 1.3574711   0.27758297  0.58201385  0.07829336  0.3899469   0.5589131
 -0.15014005 -1.0978769  ...
[ 2018-10-17 17:08:07,897 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,897 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,898 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,898 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,899 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 1.3574711   0.27758297  0.58201385  0.07829336  0.3899469   0.5589131
 -0.15014005 -1.0978769  ...
[ 2018-10-17 17:08:07,899 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,900 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 1.3574711   0.27758297  0.58201385  0.07829336  0.3899469   0.5589131
 -0.15014005 -1.0978769  ...
[ 2018-10-17 17:08:07,900 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,900 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,901 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,901 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,901 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,902 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-2.2047968e-01 -5.5838126e-01 -2.9341975e-01  1.1307344e-01
 -4.0123305e-01 -8.3031666e-01 -3.90...
[ 2018-10-17 17:08:07,902 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,902 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,902 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,902 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,904 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-2.2047968e-01 -5.5838126e-01 -2.9341975e-01  1.1307344e-01
 -4.0123305e-01 -8.3031666e-01 -3.90...
[ 2018-10-17 17:08:07,904 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,905 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-2.2047968e-01 -5.5838126e-01 -2.9341975e-01  1.1307344e-01
 -4.0123305e-01 -8.3031666e-01 -3.90...
[ 2018-10-17 17:08:07,905 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,905 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:07,905 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,905 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,905 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,906 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.04417241 -0.01030706  0.0381327  ... -0.03109932 -0.10333559
     0.03294974]
   [-0.11800...
[ 2018-10-17 17:08:07,906 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,906 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:07,906 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,907 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,908 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[-0.04417241 -0.01030706  0.0381327  ... -0.03109932 -0.10333559
     0.03294974]
   [-0.11800...
[ 2018-10-17 17:08:07,908 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,908 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.04417241 -0.01030706  0.0381327  ... -0.03109932 -0.10333559
     0.03294974]
   [-0.11800...
[ 2018-10-17 17:08:07,909 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,909 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,909 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,909 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,909 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,910 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.17347424 0.3619338  0.2781078  0.2433709  0.39260966 0.20937173
 0.9714614  0.1972668  0.56940...
[ 2018-10-17 17:08:07,910 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,911 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,911 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,911 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,912 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.17347424 0.3619338  0.2781078  0.2433709  0.39260966 0.20937173
 0.9714614  0.1972668  0.56940...
[ 2018-10-17 17:08:07,912 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,914 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.17347424 0.3619338  0.2781078  0.2433709  0.39260966 0.20937173
 0.9714614  0.1972668  0.56940...
[ 2018-10-17 17:08:07,914 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,914 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,914 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,914 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,914 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,915 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.24326493 -0.3190768  -0.38580644 -0.3911067  -0.62287736 -0.10228328
 -0.46684927 -0.02365118...
[ 2018-10-17 17:08:07,916 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,916 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,916 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,916 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,917 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.24326493 -0.3190768  -0.38580644 -0.3911067  -0.62287736 -0.10228328
 -0.46684927 -0.02365118...
[ 2018-10-17 17:08:07,917 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,918 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.24326493 -0.3190768  -0.38580644 -0.3911067  -0.62287736 -0.10228328
 -0.46684927 -0.02365118...
[ 2018-10-17 17:08:07,918 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,918 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
[ 2018-10-17 17:08:07,919 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,919 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,919 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,920 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.3065202  -0.6236493  -0.71438366 -1.158933   -0.06446566 -1.4229472
  1.5034333  -1.7910751  ...
[ 2018-10-17 17:08:07,920 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,920 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:07,920 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,921 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,922 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-1.3065202  -0.6236493  -0.71438366 -1.158933   -0.06446566 -1.4229472
  1.5034333  -1.7910751  ...
[ 2018-10-17 17:08:07,922 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,923 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.3065202  -0.6236493  -0.71438366 -1.158933   -0.06446566 -1.4229472
  1.5034333  -1.7910751  ...
[ 2018-10-17 17:08:07,923 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,923 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/weights
[ 2018-10-17 17:08:07,923 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,923 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,923 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,927 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[-0.02119419 -0.02425681  0.00665618 ... -0.08750667 -0.01677695
    -0.02258169]
   [-0.01257...
[ 2018-10-17 17:08:07,928 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,928 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/weights/read
[ 2018-10-17 17:08:07,928 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,928 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,931 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 96 96], value = [[[[-0.02119419 -0.02425681  0.00665618 ... -0.08750667 -0.01677695
    -0.02258169]
   [-0.01257...
[ 2018-10-17 17:08:07,931 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,935 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[-0.02119419 -0.02425681  0.00665618 ... -0.08750667 -0.01677695
    -0.02258169]
   [-0.01257...
[ 2018-10-17 17:08:07,935 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,935 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,935 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,935 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,935 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,936 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.6216303  0.8296454  0.81726784 1.1160861  1.2999666  1.0348874
 0.31105658 1.0436388  1.458006...
[ 2018-10-17 17:08:07,937 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,937 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,937 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,937 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,938 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.6216303  0.8296454  0.81726784 1.1160861  1.2999666  1.0348874
 0.31105658 1.0436388  1.458006...
[ 2018-10-17 17:08:07,938 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,939 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.6216303  0.8296454  0.81726784 1.1160861  1.2999666  1.0348874
 0.31105658 1.0436388  1.458006...
[ 2018-10-17 17:08:07,940 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,940 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,940 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,940 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,940 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,941 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.85716265 -0.81294745 -0.23125404 -0.62470776 -0.7641539  -0.9476474
 -1.0869406  -0.6402482  ...
[ 2018-10-17 17:08:07,941 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,941 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,942 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,942 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,943 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.85716265 -0.81294745 -0.23125404 -0.62470776 -0.7641539  -0.9476474
 -1.0869406  -0.6402482  ...
[ 2018-10-17 17:08:07,943 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,944 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.85716265 -0.81294745 -0.23125404 -0.62470776 -0.7641539  -0.9476474
 -1.0869406  -0.6402482  ...
[ 2018-10-17 17:08:07,945 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,945 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:07,945 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,945 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,945 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,946 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.53600204 -0.5362967  -0.33360273 -1.2402275  -0.5474663  -0.3101402
 -1.0762938  -0.78521246 ...
[ 2018-10-17 17:08:07,946 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,946 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:07,947 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,947 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,948 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.53600204 -0.5362967  -0.33360273 -1.2402275  -0.5474663  -0.3101402
 -1.0762938  -0.78521246 ...
[ 2018-10-17 17:08:07,948 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,949 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.53600204 -0.5362967  -0.33360273 -1.2402275  -0.5474663  -0.3101402
 -1.0762938  -0.78521246 ...
[ 2018-10-17 17:08:07,950 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,950 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:07,950 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,950 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,950 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,954 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-9.91002657e-03  8.49605910e-03  1.41813383e-02 ... -4.88943830e-02
     4.80153225e-02  1.49...
[ 2018-10-17 17:08:07,954 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,954 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:07,954 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,954 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,958 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[-9.91002657e-03  8.49605910e-03  1.41813383e-02 ... -4.88943830e-02
     4.80153225e-02  1.49...
[ 2018-10-17 17:08:07,958 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,962 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-9.91002657e-03  8.49605910e-03  1.41813383e-02 ... -4.88943830e-02
     4.80153225e-02  1.49...
[ 2018-10-17 17:08:07,962 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,962 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,962 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,962 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,962 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,963 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [3.1467962e-01 3.6714935e-01 1.1174028e+00 1.0896274e+00 9.7172424e-02
 8.7272123e-02 1.2905486e+...
[ 2018-10-17 17:08:07,963 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,963 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,963 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,964 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,964 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [3.1467962e-01 3.6714935e-01 1.1174028e+00 1.0896274e+00 9.7172424e-02
 8.7272123e-02 1.2905486e+...
[ 2018-10-17 17:08:07,964 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,965 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [3.1467962e-01 3.6714935e-01 1.1174028e+00 1.0896274e+00 9.7172424e-02
 8.7272123e-02 1.2905486e+...
[ 2018-10-17 17:08:07,966 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,966 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,966 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,966 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,966 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,967 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 2.82498181e-01 -6.14298701e-01 -2.54184693e-01 -2.43604565e+00
 -1.37987435e-01 -3.15256007e-02...
[ 2018-10-17 17:08:07,967 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,967 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,967 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,968 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,968 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 2.82498181e-01 -6.14298701e-01 -2.54184693e-01 -2.43604565e+00
 -1.37987435e-01 -3.15256007e-02...
[ 2018-10-17 17:08:07,969 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,969 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 2.82498181e-01 -6.14298701e-01 -2.54184693e-01 -2.43604565e+00
 -1.37987435e-01 -3.15256007e-02...
[ 2018-10-17 17:08:07,970 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,970 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:07,970 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,970 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,970 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,971 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-8.08228433e-01 -5.66593707e-01 -3.67793664e-02  6.47166491e-01
 -1.31448352e+00 -1.82502782e+00...
[ 2018-10-17 17:08:07,971 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,971 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:07,971 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,971 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,972 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-8.08228433e-01 -5.66593707e-01 -3.67793664e-02  6.47166491e-01
 -1.31448352e+00 -1.82502782e+00...
[ 2018-10-17 17:08:07,972 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,973 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-8.08228433e-01 -5.66593707e-01 -3.67793664e-02  6.47166491e-01
 -1.31448352e+00 -1.82502782e+00...
[ 2018-10-17 17:08:07,973 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,974 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:07,974 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,974 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,974 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,975 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.01182153 -0.02592092 -0.02315427 ...  0.00498641 -0.05087205
     0.09126671]
   [-0.00907...
[ 2018-10-17 17:08:07,975 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,975 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:07,975 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,975 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,976 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[ 0.01182153 -0.02592092 -0.02315427 ...  0.00498641 -0.05087205
     0.09126671]
   [-0.00907...
[ 2018-10-17 17:08:07,976 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,977 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.01182153 -0.02592092 -0.02315427 ...  0.00498641 -0.05087205
     0.09126671]
   [-0.00907...
[ 2018-10-17 17:08:07,977 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,977 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:07,977 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,977 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,977 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,978 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.24085362 0.27277404 0.37071446 0.3676675  0.32860637 0.4215524
 0.22302856 0.2886585  0.258346...
[ 2018-10-17 17:08:07,978 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,978 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:07,978 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,979 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,980 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.24085362 0.27277404 0.37071446 0.3676675  0.32860637 0.4215524
 0.22302856 0.2886585  0.258346...
[ 2018-10-17 17:08:07,980 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,981 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.24085362 0.27277404 0.37071446 0.3676675  0.32860637 0.4215524
 0.22302856 0.2886585  0.258346...
[ 2018-10-17 17:08:07,981 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,981 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:07,982 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,982 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,982 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,983 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.12113596  0.01326872 -0.13186592 -0.5515647  -0.45049843 -0.53183025
 -0.5619965  -0.5467203 ...
[ 2018-10-17 17:08:07,983 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,983 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:07,984 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,984 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,985 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.12113596  0.01326872 -0.13186592 -0.5515647  -0.45049843 -0.53183025
 -0.5619965  -0.5467203 ...
[ 2018-10-17 17:08:07,985 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,986 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.12113596  0.01326872 -0.13186592 -0.5515647  -0.45049843 -0.53183025
 -0.5619965  -0.5467203 ...
[ 2018-10-17 17:08:07,987 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,987 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:07,987 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,987 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,987 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,988 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-8.4613991e-01 -1.3396583e+00 -3.2120964e-01 -3.3495682e-01
 -6.6718155e-01  4.8073989e-01 -1.20...
[ 2018-10-17 17:08:07,988 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,988 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:07,989 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,989 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,990 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-8.4613991e-01 -1.3396583e+00 -3.2120964e-01 -3.3495682e-01
 -6.6718155e-01  4.8073989e-01 -1.20...
[ 2018-10-17 17:08:07,990 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,991 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-8.4613991e-01 -1.3396583e+00 -3.2120964e-01 -3.3495682e-01
 -6.6718155e-01  4.8073989e-01 -1.20...
[ 2018-10-17 17:08:07,991 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,991 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:07,991 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:07,992 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,992 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:07,995 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 1.88112061e-03 -1.85109954e-02 -3.70594226e-02 ... -9.26362537e-03
     9.83940437e-03  9.67...
[ 2018-10-17 17:08:07,995 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:07,995 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:07,996 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:07,996 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:07,999 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[ 1.88112061e-03 -1.85109954e-02 -3.70594226e-02 ... -9.26362537e-03
     9.83940437e-03  9.67...
[ 2018-10-17 17:08:08,000 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,003 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 1.88112061e-03 -1.85109954e-02 -3.70594226e-02 ... -9.26362537e-03
     9.83940437e-03  9.67...
[ 2018-10-17 17:08:08,003 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,004 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,004 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,004 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,004 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,005 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.34944803 0.543231   0.9881029  1.2844085  0.61877275 0.35674414
 0.4764486  0.5396011  0.43245...
[ 2018-10-17 17:08:08,005 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,005 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,005 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,005 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,006 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [0.34944803 0.543231   0.9881029  1.2844085  0.61877275 0.35674414
 0.4764486  0.5396011  0.43245...
[ 2018-10-17 17:08:08,006 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,007 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.34944803 0.543231   0.9881029  1.2844085  0.61877275 0.35674414
 0.4764486  0.5396011  0.43245...
[ 2018-10-17 17:08:08,007 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,007 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,007 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,007 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,007 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,008 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.57407665  0.04199237  0.09187341 -0.15151569  0.09727654  0.329101
 -0.45222032 -0.881089    ...
[ 2018-10-17 17:08:08,008 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,009 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,009 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,009 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,010 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.57407665  0.04199237  0.09187341 -0.15151569  0.09727654  0.329101
 -0.45222032 -0.881089    ...
[ 2018-10-17 17:08:08,010 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,011 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.57407665  0.04199237  0.09187341 -0.15151569  0.09727654  0.329101
 -0.45222032 -0.881089    ...
[ 2018-10-17 17:08:08,011 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,011 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,011 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,011 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,011 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,012 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-1.0985903  -0.47769406 -0.19942874  0.8866294  -0.71957076 -0.73140687
 -0.60597557 -0.77688396...
[ 2018-10-17 17:08:08,012 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,012 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,012 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,012 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,013 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-1.0985903  -0.47769406 -0.19942874  0.8866294  -0.71957076 -0.73140687
 -0.60597557 -0.77688396...
[ 2018-10-17 17:08:08,013 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,014 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-1.0985903  -0.47769406 -0.19942874  0.8866294  -0.71957076 -0.73140687
 -0.60597557 -0.77688396...
[ 2018-10-17 17:08:08,014 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,014 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,015 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,015 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,015 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,015 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.01650644 -0.02801348 -0.01993045 ... -0.00489055 -0.03586129
     0.00218299]
   [-0.02087...
[ 2018-10-17 17:08:08,016 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,016 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,016 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,016 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,017 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[ 0.01650644 -0.02801348 -0.01993045 ... -0.00489055 -0.03586129
     0.00218299]
   [-0.02087...
[ 2018-10-17 17:08:08,017 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,018 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.01650644 -0.02801348 -0.01993045 ... -0.00489055 -0.03586129
     0.00218299]
   [-0.02087...
[ 2018-10-17 17:08:08,018 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,018 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,018 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,018 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,019 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,020 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.7698976  1.0496591  0.8696505  1.2201381  1.192966   0.9138266
 0.51802933 0.91879505 0.866969...
[ 2018-10-17 17:08:08,020 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,020 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,020 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,020 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,021 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [1.7698976  1.0496591  0.8696505  1.2201381  1.192966   0.9138266
 0.51802933 0.91879505 0.866969...
[ 2018-10-17 17:08:08,021 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,023 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.7698976  1.0496591  0.8696505  1.2201381  1.192966   0.9138266
 0.51802933 0.91879505 0.866969...
[ 2018-10-17 17:08:08,023 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,023 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,023 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,023 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,023 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,025 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.7154513   0.44392604  0.48523006  0.862921   -0.01305647 -0.3589078
 -0.14687818  2.4215727  ...
[ 2018-10-17 17:08:08,025 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,025 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,025 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,025 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,026 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.7154513   0.44392604  0.48523006  0.862921   -0.01305647 -0.3589078
 -0.14687818  2.4215727  ...
[ 2018-10-17 17:08:08,027 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,028 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.7154513   0.44392604  0.48523006  0.862921   -0.01305647 -0.3589078
 -0.14687818  2.4215727  ...
[ 2018-10-17 17:08:08,028 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,028 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,028 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,028 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,028 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,029 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.30211815 -0.04636602 -0.37852874 -0.19813918 -0.13176803 -0.2601847
 -1.1529008   0.01335048 ...
[ 2018-10-17 17:08:08,030 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,030 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,030 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,030 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,031 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.30211815 -0.04636602 -0.37852874 -0.19813918 -0.13176803 -0.2601847
 -1.1529008   0.01335048 ...
[ 2018-10-17 17:08:08,031 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,033 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.30211815 -0.04636602 -0.37852874 -0.19813918 -0.13176803 -0.2601847
 -1.1529008   0.01335048 ...
[ 2018-10-17 17:08:08,033 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,033 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,033 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,033 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,033 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,034 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.04280804 -0.01238076 -0.00570597 ...  0.03383728 -0.11772638
     0.0863217 ]
   [ 0.07687...
[ 2018-10-17 17:08:08,034 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,034 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,034 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,034 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,035 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[-0.04280804 -0.01238076 -0.00570597 ...  0.03383728 -0.11772638
     0.0863217 ]
   [ 0.07687...
[ 2018-10-17 17:08:08,035 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,036 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.04280804 -0.01238076 -0.00570597 ...  0.03383728 -0.11772638
     0.0863217 ]
   [ 0.07687...
[ 2018-10-17 17:08:08,036 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,036 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,036 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,036 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,036 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,037 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.1316547  0.31167132 0.23087904 0.12987012 0.19518316 0.34748763
 0.11392599 0.12339956 0.12993...
[ 2018-10-17 17:08:08,038 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,038 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,038 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,038 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,039 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.1316547  0.31167132 0.23087904 0.12987012 0.19518316 0.34748763
 0.11392599 0.12339956 0.12993...
[ 2018-10-17 17:08:08,039 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,040 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.1316547  0.31167132 0.23087904 0.12987012 0.19518316 0.34748763
 0.11392599 0.12339956 0.12993...
[ 2018-10-17 17:08:08,040 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,041 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,041 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,041 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,041 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,042 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.69613725  0.30353117 -0.02037581 -0.43590462  0.29653227  0.48244396
  0.18374147 -0.25691184...
[ 2018-10-17 17:08:08,042 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,042 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,042 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,042 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,044 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.69613725  0.30353117 -0.02037581 -0.43590462  0.29653227  0.48244396
  0.18374147 -0.25691184...
[ 2018-10-17 17:08:08,044 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,045 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.69613725  0.30353117 -0.02037581 -0.43590462  0.29653227  0.48244396
  0.18374147 -0.25691184...
[ 2018-10-17 17:08:08,045 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,045 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,045 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,045 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,045 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,046 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-8.4640294e-01  1.9226414e-01 -3.7711218e-01 -8.1168127e-01
 -6.6378182e-01 -3.2862145e-01 -5.20...
[ 2018-10-17 17:08:08,047 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,047 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,047 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,047 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,048 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-8.4640294e-01  1.9226414e-01 -3.7711218e-01 -8.1168127e-01
 -6.6378182e-01 -3.2862145e-01 -5.20...
[ 2018-10-17 17:08:08,048 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,049 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-8.4640294e-01  1.9226414e-01 -3.7711218e-01 -8.1168127e-01
 -6.6378182e-01 -3.2862145e-01 -5.20...
[ 2018-10-17 17:08:08,050 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,050 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:08,050 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,050 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,050 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,051 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.05284194 -0.00091625 -0.17715909 ... -0.0250096   0.13015227
    -0.02583087]
   [-0.00837...
[ 2018-10-17 17:08:08,051 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,051 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:08,051 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,051 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,052 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[-0.05284194 -0.00091625 -0.17715909 ... -0.0250096   0.13015227
    -0.02583087]
   [-0.00837...
[ 2018-10-17 17:08:08,052 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,053 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.05284194 -0.00091625 -0.17715909 ... -0.0250096   0.13015227
    -0.02583087]
   [-0.00837...
[ 2018-10-17 17:08:08,053 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,053 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,053 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,054 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,054 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,055 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.28632608 0.16928382 0.26078656 0.2621003  0.3977712  0.6888214
 0.20796256 0.206316   0.639174...
[ 2018-10-17 17:08:08,055 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,055 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,055 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,055 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,056 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.28632608 0.16928382 0.26078656 0.2621003  0.3977712  0.6888214
 0.20796256 0.206316   0.639174...
[ 2018-10-17 17:08:08,057 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,058 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.28632608 0.16928382 0.26078656 0.2621003  0.3977712  0.6888214
 0.20796256 0.206316   0.639174...
[ 2018-10-17 17:08:08,058 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,058 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,058 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,058 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,058 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,060 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.31459758  0.04495644 -0.33362556  0.08181032 -0.50794184  0.06375388
 -0.72228307  1.0185901 ...
[ 2018-10-17 17:08:08,060 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,060 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,060 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,060 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,062 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.31459758  0.04495644 -0.33362556  0.08181032 -0.50794184  0.06375388
 -0.72228307  1.0185901 ...
[ 2018-10-17 17:08:08,062 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,063 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.31459758  0.04495644 -0.33362556  0.08181032 -0.50794184  0.06375388
 -0.72228307  1.0185901 ...
[ 2018-10-17 17:08:08,063 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,063 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,063 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,063 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,064 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,065 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.24779333 -1.8734411  -0.8725473  -0.72378176 -0.56097263 -0.39095247
 -0.7713354  -1.0407336 ...
[ 2018-10-17 17:08:08,065 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,065 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,065 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,066 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,067 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.24779333 -1.8734411  -0.8725473  -0.72378176 -0.56097263 -0.39095247
 -0.7713354  -1.0407336 ...
[ 2018-10-17 17:08:08,067 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,068 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.24779333 -1.8734411  -0.8725473  -0.72378176 -0.56097263 -0.39095247
 -0.7713354  -1.0407336 ...
[ 2018-10-17 17:08:08,068 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,068 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/weights
[ 2018-10-17 17:08:08,068 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,068 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,068 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,072 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[ 9.58710257e-03  3.17857438e-03 -1.57055538e-03 ...  2.93189916e-03
     2.66085267e-02  8.37...
[ 2018-10-17 17:08:08,072 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,072 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/weights/read
[ 2018-10-17 17:08:08,072 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,073 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,076 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 96 96], value = [[[[ 9.58710257e-03  3.17857438e-03 -1.57055538e-03 ...  2.93189916e-03
     2.66085267e-02  8.37...
[ 2018-10-17 17:08:08,076 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,080 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[ 9.58710257e-03  3.17857438e-03 -1.57055538e-03 ...  2.93189916e-03
     2.66085267e-02  8.37...
[ 2018-10-17 17:08:08,080 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,080 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,080 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,080 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,081 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,082 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.5906923e-01 1.8218409e-01 2.5446281e-01 2.5318280e-01 2.5130805e-01
 2.9935941e-01 7.4583918e-...
[ 2018-10-17 17:08:08,082 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,082 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,082 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,082 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,083 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [1.5906923e-01 1.8218409e-01 2.5446281e-01 2.5318280e-01 2.5130805e-01
 2.9935941e-01 7.4583918e-...
[ 2018-10-17 17:08:08,083 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,084 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.5906923e-01 1.8218409e-01 2.5446281e-01 2.5318280e-01 2.5130805e-01
 2.9935941e-01 7.4583918e-...
[ 2018-10-17 17:08:08,085 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,085 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,085 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,085 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,085 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,086 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.7944016e-01 -2.6730791e-01 -1.4708467e-01 -9.2286713e-02
 -6.7905277e-01 -3.8319397e-01  2.32...
[ 2018-10-17 17:08:08,086 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,086 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,086 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,087 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,088 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-1.7944016e-01 -2.6730791e-01 -1.4708467e-01 -9.2286713e-02
 -6.7905277e-01 -3.8319397e-01  2.32...
[ 2018-10-17 17:08:08,088 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,089 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.7944016e-01 -2.6730791e-01 -1.4708467e-01 -9.2286713e-02
 -6.7905277e-01 -3.8319397e-01  2.32...
[ 2018-10-17 17:08:08,089 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,089 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,089 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,089 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,089 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,091 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.3125399  -1.2959067  -0.9011224  -0.7777801  -0.81864816 -0.77163404
 -0.69051635 -1.1853181 ...
[ 2018-10-17 17:08:08,091 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,091 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,091 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,091 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,092 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-1.3125399  -1.2959067  -0.9011224  -0.7777801  -0.81864816 -0.77163404
 -0.69051635 -1.1853181 ...
[ 2018-10-17 17:08:08,092 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,094 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.3125399  -1.2959067  -0.9011224  -0.7777801  -0.81864816 -0.77163404
 -0.69051635 -1.1853181 ...
[ 2018-10-17 17:08:08,094 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,094 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:08,094 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,094 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,094 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,098 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 6.16874499e-03  1.65617815e-03 -1.86451022e-02 ... -2.10212525e-02
    -3.20760310e-02  1.63...
[ 2018-10-17 17:08:08,098 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,098 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:08,098 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,099 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,102 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[ 6.16874499e-03  1.65617815e-03 -1.86451022e-02 ... -2.10212525e-02
    -3.20760310e-02  1.63...
[ 2018-10-17 17:08:08,102 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,106 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 6.16874499e-03  1.65617815e-03 -1.86451022e-02 ... -2.10212525e-02
    -3.20760310e-02  1.63...
[ 2018-10-17 17:08:08,106 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,107 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,107 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,107 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,107 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,108 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.31023246 0.19721678 0.25631484 0.33119634 0.33181474 1.0173404
 0.22520296 0.76483744 0.39232 ...
[ 2018-10-17 17:08:08,108 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,108 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,108 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,108 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,109 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [0.31023246 0.19721678 0.25631484 0.33119634 0.33181474 1.0173404
 0.22520296 0.76483744 0.39232 ...
[ 2018-10-17 17:08:08,109 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,110 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.31023246 0.19721678 0.25631484 0.33119634 0.33181474 1.0173404
 0.22520296 0.76483744 0.39232 ...
[ 2018-10-17 17:08:08,110 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,111 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,111 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,111 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,111 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,112 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.20426114 -0.41412184  0.11418397  1.1075366  -0.21309482 -0.12001644
 -0.04103825  1.7475803 ...
[ 2018-10-17 17:08:08,112 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,112 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,112 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,112 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,113 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 0.20426114 -0.41412184  0.11418397  1.1075366  -0.21309482 -0.12001644
 -0.04103825  1.7475803 ...
[ 2018-10-17 17:08:08,113 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,114 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.20426114 -0.41412184  0.11418397  1.1075366  -0.21309482 -0.12001644
 -0.04103825  1.7475803 ...
[ 2018-10-17 17:08:08,114 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,114 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,114 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,114 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,114 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,115 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.69298303 -0.8922035  -0.734021   -3.3764489  -0.85141075  0.01604089
 -0.7056046   0.16486356...
[ 2018-10-17 17:08:08,115 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,115 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,116 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,116 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,117 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.69298303 -0.8922035  -0.734021   -3.3764489  -0.85141075  0.01604089
 -0.7056046   0.16486356...
[ 2018-10-17 17:08:08,117 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,117 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.69298303 -0.8922035  -0.734021   -3.3764489  -0.85141075  0.01604089
 -0.7056046   0.16486356...
[ 2018-10-17 17:08:08,118 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,118 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,118 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,118 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,118 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,119 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.00994084 -0.00857073 -0.05388539 ... -0.08188815 -0.00388918
     0.00358891]
   [ 0.01536...
[ 2018-10-17 17:08:08,119 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,119 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,119 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,119 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,120 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[ 0.00994084 -0.00857073 -0.05388539 ... -0.08188815 -0.00388918
     0.00358891]
   [ 0.01536...
[ 2018-10-17 17:08:08,120 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,121 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.00994084 -0.00857073 -0.05388539 ... -0.08188815 -0.00388918
     0.00358891]
   [ 0.01536...
[ 2018-10-17 17:08:08,121 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,121 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,121 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,121 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,121 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,122 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.09958249 0.10393815 0.12842143 0.12324525 0.09783774 0.06028556
 0.12276162 0.13412477 0.13218...
[ 2018-10-17 17:08:08,122 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,123 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,123 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,123 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,124 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.09958249 0.10393815 0.12842143 0.12324525 0.09783774 0.06028556
 0.12276162 0.13412477 0.13218...
[ 2018-10-17 17:08:08,124 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,125 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.09958249 0.10393815 0.12842143 0.12324525 0.09783774 0.06028556
 0.12276162 0.13412477 0.13218...
[ 2018-10-17 17:08:08,125 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,126 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,126 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,126 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,126 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,127 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.19273886 -0.10452286  0.08217189  0.04391234 -0.32607117 -0.22520505
  0.17789236 -0.28350422...
[ 2018-10-17 17:08:08,127 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,128 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,128 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,128 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,129 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.19273886 -0.10452286  0.08217189  0.04391234 -0.32607117 -0.22520505
  0.17789236 -0.28350422...
[ 2018-10-17 17:08:08,129 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,130 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.19273886 -0.10452286  0.08217189  0.04391234 -0.32607117 -0.22520505
  0.17789236 -0.28350422...
[ 2018-10-17 17:08:08,130 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,130 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,130 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,131 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,131 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,132 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.1511861  -0.8698117  -0.91454476 -0.6173765  -1.8229364  -1.3763386
 -0.98483574 -0.6901863  ...
[ 2018-10-17 17:08:08,132 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,132 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,132 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,132 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,133 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-1.1511861  -0.8698117  -0.91454476 -0.6173765  -1.8229364  -1.3763386
 -0.98483574 -0.6901863  ...
[ 2018-10-17 17:08:08,134 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,135 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.1511861  -0.8698117  -0.91454476 -0.6173765  -1.8229364  -1.3763386
 -0.98483574 -0.6901863  ...
[ 2018-10-17 17:08:08,135 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,135 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:08,135 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,135 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,135 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,139 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-2.32821051e-02 -6.51620096e-03  1.16436956e-02 ... -2.64663808e-02
     1.00934021e-02 -1.42...
[ 2018-10-17 17:08:08,140 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,140 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:08,140 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,140 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,144 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[-2.32821051e-02 -6.51620096e-03  1.16436956e-02 ... -2.64663808e-02
     1.00934021e-02 -1.42...
[ 2018-10-17 17:08:08,144 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,148 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-2.32821051e-02 -6.51620096e-03  1.16436956e-02 ... -2.64663808e-02
     1.00934021e-02 -1.42...
[ 2018-10-17 17:08:08,148 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,148 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,148 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,148 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,148 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,149 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.3974223  0.57503825 0.6608019  0.39069143 0.20671543 0.26772052
 0.5562969  0.79898506 0.40825...
[ 2018-10-17 17:08:08,149 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,149 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,150 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,150 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,151 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [0.3974223  0.57503825 0.6608019  0.39069143 0.20671543 0.26772052
 0.5562969  0.79898506 0.40825...
[ 2018-10-17 17:08:08,151 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,151 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.3974223  0.57503825 0.6608019  0.39069143 0.20671543 0.26772052
 0.5562969  0.79898506 0.40825...
[ 2018-10-17 17:08:08,152 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,152 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,152 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,152 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,152 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,153 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.14436652 -0.2917158  -0.52817494 -0.40795776  0.47278643  0.0581812
  0.01161344 -0.4310304  ...
[ 2018-10-17 17:08:08,153 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,153 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,153 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,154 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,154 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 0.14436652 -0.2917158  -0.52817494 -0.40795776  0.47278643  0.0581812
  0.01161344 -0.4310304  ...
[ 2018-10-17 17:08:08,154 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,155 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.14436652 -0.2917158  -0.52817494 -0.40795776  0.47278643  0.0581812
  0.01161344 -0.4310304  ...
[ 2018-10-17 17:08:08,156 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,156 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,156 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,156 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,156 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,157 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.61891043 -0.45696598 -0.48479775 -0.90715873 -1.0824573  -0.76636374
 -0.5982499  -0.24866684...
[ 2018-10-17 17:08:08,157 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,157 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,157 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,158 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,159 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.61891043 -0.45696598 -0.48479775 -0.90715873 -1.0824573  -0.76636374
 -0.5982499  -0.24866684...
[ 2018-10-17 17:08:08,159 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,160 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.61891043 -0.45696598 -0.48479775 -0.90715873 -1.0824573  -0.76636374
 -0.5982499  -0.24866684...
[ 2018-10-17 17:08:08,160 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,160 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,160 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,160 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,160 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,161 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.07297519  0.05786341 -0.01149403 ...  0.01362949 -0.01860267
     0.01797176]
   [ 0.01172...
[ 2018-10-17 17:08:08,161 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,161 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,161 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,161 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,162 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[ 0.07297519  0.05786341 -0.01149403 ...  0.01362949 -0.01860267
     0.01797176]
   [ 0.01172...
[ 2018-10-17 17:08:08,162 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,163 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.07297519  0.05786341 -0.01149403 ...  0.01362949 -0.01860267
     0.01797176]
   [ 0.01172...
[ 2018-10-17 17:08:08,163 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,163 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,163 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,163 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,164 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,165 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.2242885  2.0628207  1.4118068  1.0575347  1.331285   2.7867427
 1.7870785  0.70294404 0.900916...
[ 2018-10-17 17:08:08,165 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,165 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,165 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,165 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,166 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [1.2242885  2.0628207  1.4118068  1.0575347  1.331285   2.7867427
 1.7870785  0.70294404 0.900916...
[ 2018-10-17 17:08:08,166 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,167 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.2242885  2.0628207  1.4118068  1.0575347  1.331285   2.7867427
 1.7870785  0.70294404 0.900916...
[ 2018-10-17 17:08:08,168 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,168 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,168 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,168 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,168 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,169 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.3024669   2.1370165  -0.3845666   0.35270312  1.2671059   2.0926712
  0.23760971  0.28210378 ...
[ 2018-10-17 17:08:08,169 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,169 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,170 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,170 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,171 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.3024669   2.1370165  -0.3845666   0.35270312  1.2671059   2.0926712
  0.23760971  0.28210378 ...
[ 2018-10-17 17:08:08,171 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,172 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.3024669   2.1370165  -0.3845666   0.35270312  1.2671059   2.0926712
  0.23760971  0.28210378 ...
[ 2018-10-17 17:08:08,172 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,172 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,172 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,173 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,173 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,174 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.14443931  0.5135066   0.14571416  0.34068066  1.7503756   0.41361734
  0.5626589  -0.24124093...
[ 2018-10-17 17:08:08,174 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,174 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,174 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,174 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,175 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.14443931  0.5135066   0.14571416  0.34068066  1.7503756   0.41361734
  0.5626589  -0.24124093...
[ 2018-10-17 17:08:08,176 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,177 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.14443931  0.5135066   0.14571416  0.34068066  1.7503756   0.41361734
  0.5626589  -0.24124093...
[ 2018-10-17 17:08:08,177 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,177 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,177 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,177 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,177 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,178 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.11961181 -0.08568108 -0.09615966 ... -0.0212266   0.00558652
    -0.05943183]
   [ 0.13681...
[ 2018-10-17 17:08:08,178 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,178 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,179 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,179 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,180 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[ 0.11961181 -0.08568108 -0.09615966 ... -0.0212266   0.00558652
    -0.05943183]
   [ 0.13681...
[ 2018-10-17 17:08:08,180 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,180 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.11961181 -0.08568108 -0.09615966 ... -0.0212266   0.00558652
    -0.05943183]
   [ 0.13681...
[ 2018-10-17 17:08:08,181 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,181 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,181 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,181 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,181 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,182 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.16097614 0.20051591 0.34814227 0.17356393 0.16831376 0.26238498
 0.11690933 0.08893158 0.15928...
[ 2018-10-17 17:08:08,182 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,182 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,183 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,183 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,184 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.16097614 0.20051591 0.34814227 0.17356393 0.16831376 0.26238498
 0.11690933 0.08893158 0.15928...
[ 2018-10-17 17:08:08,184 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,185 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.16097614 0.20051591 0.34814227 0.17356393 0.16831376 0.26238498
 0.11690933 0.08893158 0.15928...
[ 2018-10-17 17:08:08,186 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,186 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,186 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,186 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,186 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,187 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.6762261   0.02593147 -0.19738646  1.3305037  -0.05057981  0.0337436
 -1.1091086  -0.2673179  ...
[ 2018-10-17 17:08:08,187 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,187 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,187 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,188 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,189 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.6762261   0.02593147 -0.19738646  1.3305037  -0.05057981  0.0337436
 -1.1091086  -0.2673179  ...
[ 2018-10-17 17:08:08,189 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,190 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.6762261   0.02593147 -0.19738646  1.3305037  -0.05057981  0.0337436
 -1.1091086  -0.2673179  ...
[ 2018-10-17 17:08:08,190 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,190 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,190 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,191 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,191 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,192 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.7692333  -0.5133769  -0.3266861  -0.43371254 -0.5283531  -0.64839685
 -0.5383842  -1.1589656 ...
[ 2018-10-17 17:08:08,192 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,192 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,192 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,192 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,194 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.7692333  -0.5133769  -0.3266861  -0.43371254 -0.5283531  -0.64839685
 -0.5383842  -1.1589656 ...
[ 2018-10-17 17:08:08,194 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,195 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.7692333  -0.5133769  -0.3266861  -0.43371254 -0.5283531  -0.64839685
 -0.5383842  -1.1589656 ...
[ 2018-10-17 17:08:08,195 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,195 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:08,195 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,195 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,196 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,196 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.06179877 -0.10934906 -0.09363806 ... -0.13762473  0.03048905
    -0.18615286]
   [-0.03334...
[ 2018-10-17 17:08:08,197 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,197 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:08,197 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,197 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,198 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[ 0.06179877 -0.10934906 -0.09363806 ... -0.13762473  0.03048905
    -0.18615286]
   [-0.03334...
[ 2018-10-17 17:08:08,198 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,198 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.06179877 -0.10934906 -0.09363806 ... -0.13762473  0.03048905
    -0.18615286]
   [-0.03334...
[ 2018-10-17 17:08:08,199 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,199 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,199 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,199 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,199 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,200 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.32860684 0.61347246 0.35556045 0.34002417 0.29058453 0.1935073
 0.33333632 0.48074624 0.398282...
[ 2018-10-17 17:08:08,200 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,200 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,200 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,201 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,202 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.32860684 0.61347246 0.35556045 0.34002417 0.29058453 0.1935073
 0.33333632 0.48074624 0.398282...
[ 2018-10-17 17:08:08,202 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,203 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.32860684 0.61347246 0.35556045 0.34002417 0.29058453 0.1935073
 0.33333632 0.48074624 0.398282...
[ 2018-10-17 17:08:08,203 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,203 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,203 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,203 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,204 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,205 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.24524824  0.13568568 -0.2850714  -0.4161457  -0.37322134  0.06265596
 -0.28166285 -0.12620461...
[ 2018-10-17 17:08:08,205 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,205 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,205 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,205 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,206 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.24524824  0.13568568 -0.2850714  -0.4161457  -0.37322134  0.06265596
 -0.28166285 -0.12620461...
[ 2018-10-17 17:08:08,206 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,208 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.24524824  0.13568568 -0.2850714  -0.4161457  -0.37322134  0.06265596
 -0.28166285 -0.12620461...
[ 2018-10-17 17:08:08,208 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,208 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,208 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,208 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,208 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,209 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.6993439  -0.49539405 -0.51320034 -0.408331   -0.3318981  -0.96957785
 -0.67230684 -0.3161226 ...
[ 2018-10-17 17:08:08,210 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,210 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,210 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,210 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,211 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.6993439  -0.49539405 -0.51320034 -0.408331   -0.3318981  -0.96957785
 -0.67230684 -0.3161226 ...
[ 2018-10-17 17:08:08,211 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,212 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.6993439  -0.49539405 -0.51320034 -0.408331   -0.3318981  -0.96957785
 -0.67230684 -0.3161226 ...
[ 2018-10-17 17:08:08,212 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,213 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights
[ 2018-10-17 17:08:08,213 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,213 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,213 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,217 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[ 0.03296205  0.01924147  0.0254582  ... -0.01798866 -0.00208126
     0.00821365]
   [ 0.02367...
[ 2018-10-17 17:08:08,217 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,217 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights/read
[ 2018-10-17 17:08:08,217 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,218 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,221 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 96 96], value = [[[[ 0.03296205  0.01924147  0.0254582  ... -0.01798866 -0.00208126
     0.00821365]
   [ 0.02367...
[ 2018-10-17 17:08:08,221 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,225 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[ 0.03296205  0.01924147  0.0254582  ... -0.01798866 -0.00208126
     0.00821365]
   [ 0.02367...
[ 2018-10-17 17:08:08,225 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,225 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,226 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,226 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,226 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,227 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.644464   0.64066494 0.5050727  0.751506   1.0569104  1.6615076
 0.6050346  1.3702453  0.339573...
[ 2018-10-17 17:08:08,227 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,227 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,227 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,228 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,229 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.644464   0.64066494 0.5050727  0.751506   1.0569104  1.6615076
 0.6050346  1.3702453  0.339573...
[ 2018-10-17 17:08:08,229 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,230 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.644464   0.64066494 0.5050727  0.751506   1.0569104  1.6615076
 0.6050346  1.3702453  0.339573...
[ 2018-10-17 17:08:08,230 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,230 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,230 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,231 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,231 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,232 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.53614414 -1.1081015  -0.45661303 -0.42138454 -1.1974326  -0.26486263
 -0.26305896 -0.5506592 ...
[ 2018-10-17 17:08:08,232 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,232 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,232 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,232 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,234 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.53614414 -1.1081015  -0.45661303 -0.42138454 -1.1974326  -0.26486263
 -0.26305896 -0.5506592 ...
[ 2018-10-17 17:08:08,234 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,235 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.53614414 -1.1081015  -0.45661303 -0.42138454 -1.1974326  -0.26486263
 -0.26305896 -0.5506592 ...
[ 2018-10-17 17:08:08,235 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,236 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,236 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,236 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,236 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,237 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.79405296 -0.93437374 -0.71763134  0.17533484 -0.34844032  0.23181461
 -0.79556096  0.27426884...
[ 2018-10-17 17:08:08,237 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,237 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,237 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,237 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,239 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.79405296 -0.93437374 -0.71763134  0.17533484 -0.34844032  0.23181461
 -0.79556096  0.27426884...
[ 2018-10-17 17:08:08,239 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,240 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.79405296 -0.93437374 -0.71763134  0.17533484 -0.34844032  0.23181461
 -0.79556096  0.27426884...
[ 2018-10-17 17:08:08,240 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,240 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:08,240 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,240 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,240 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,244 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-9.04034264e-03 -3.07899155e-02 -2.52029672e-03 ...  9.24110413e-03
     6.58363700e-02 -4.38...
[ 2018-10-17 17:08:08,244 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,244 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:08,244 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,245 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,248 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[-9.04034264e-03 -3.07899155e-02 -2.52029672e-03 ...  9.24110413e-03
     6.58363700e-02 -4.38...
[ 2018-10-17 17:08:08,250 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,254 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-9.04034264e-03 -3.07899155e-02 -2.52029672e-03 ...  9.24110413e-03
     6.58363700e-02 -4.38...
[ 2018-10-17 17:08:08,254 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,254 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,255 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,255 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,255 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,256 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.23313223 1.2221967  0.8655737  0.51058596 0.2736793  0.7266138
 0.5508381  0.5571541  0.648448...
[ 2018-10-17 17:08:08,257 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,257 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,257 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,257 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,258 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [0.23313223 1.2221967  0.8655737  0.51058596 0.2736793  0.7266138
 0.5508381  0.5571541  0.648448...
[ 2018-10-17 17:08:08,258 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,259 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.23313223 1.2221967  0.8655737  0.51058596 0.2736793  0.7266138
 0.5508381  0.5571541  0.648448...
[ 2018-10-17 17:08:08,259 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,259 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,259 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,259 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,259 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,260 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.18107943  0.03227634 -0.7725015  -0.48320732  0.01500765 -0.55984765
 -0.913075   -0.15609509...
[ 2018-10-17 17:08:08,261 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,261 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,261 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,261 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,262 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.18107943  0.03227634 -0.7725015  -0.48320732  0.01500765 -0.55984765
 -0.913075   -0.15609509...
[ 2018-10-17 17:08:08,262 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,263 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.18107943  0.03227634 -0.7725015  -0.48320732  0.01500765 -0.55984765
 -0.913075   -0.15609509...
[ 2018-10-17 17:08:08,264 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,264 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,264 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,264 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,264 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,265 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.6167737   0.5404839   0.32210478 -0.22618367 -0.5376655   0.3041352
  0.11086848 -0.02193919 ...
[ 2018-10-17 17:08:08,265 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,265 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,265 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,265 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,266 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.6167737   0.5404839   0.32210478 -0.22618367 -0.5376655   0.3041352
  0.11086848 -0.02193919 ...
[ 2018-10-17 17:08:08,266 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,267 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.6167737   0.5404839   0.32210478 -0.22618367 -0.5376655   0.3041352
  0.11086848 -0.02193919 ...
[ 2018-10-17 17:08:08,267 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,268 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,268 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,268 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,268 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,268 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.03509423 -0.07481578 -0.00901889 ... -0.03051326 -0.0488905
     0.0727115 ]
   [-0.059306...
[ 2018-10-17 17:08:08,269 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,269 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,269 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,269 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,270 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[-0.03509423 -0.07481578 -0.00901889 ... -0.03051326 -0.0488905
     0.0727115 ]
   [-0.059306...
[ 2018-10-17 17:08:08,270 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,270 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.03509423 -0.07481578 -0.00901889 ... -0.03051326 -0.0488905
     0.0727115 ]
   [-0.059306...
[ 2018-10-17 17:08:08,271 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,271 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,271 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,271 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,271 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,272 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.1054614  0.12562765 0.26452228 0.19137694 0.13919184 0.1413232
 0.22599794 0.09937502 0.230743...
[ 2018-10-17 17:08:08,272 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,272 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,273 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,273 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,274 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.1054614  0.12562765 0.26452228 0.19137694 0.13919184 0.1413232
 0.22599794 0.09937502 0.230743...
[ 2018-10-17 17:08:08,274 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,275 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.1054614  0.12562765 0.26452228 0.19137694 0.13919184 0.1413232
 0.22599794 0.09937502 0.230743...
[ 2018-10-17 17:08:08,275 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,275 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,275 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,275 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,276 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,277 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.26670614 -0.23589408 -0.78086185 -0.4736979  -0.6349392  -0.25305036
 -0.7349737  -0.21130429...
[ 2018-10-17 17:08:08,277 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,277 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,277 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,277 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,279 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.26670614 -0.23589408 -0.78086185 -0.4736979  -0.6349392  -0.25305036
 -0.7349737  -0.21130429...
[ 2018-10-17 17:08:08,279 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,280 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.26670614 -0.23589408 -0.78086185 -0.4736979  -0.6349392  -0.25305036
 -0.7349737  -0.21130429...
[ 2018-10-17 17:08:08,280 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,280 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,280 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,280 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,280 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,282 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.1461401  -1.2402899  -0.26299623 -0.7648438  -0.97693294 -0.63144314
 -0.562176   -1.0274663 ...
[ 2018-10-17 17:08:08,282 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,282 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,282 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,282 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,283 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-1.1461401  -1.2402899  -0.26299623 -0.7648438  -0.97693294 -0.63144314
 -0.562176   -1.0274663 ...
[ 2018-10-17 17:08:08,284 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,285 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.1461401  -1.2402899  -0.26299623 -0.7648438  -0.97693294 -0.63144314
 -0.562176   -1.0274663 ...
[ 2018-10-17 17:08:08,285 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,285 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:08,285 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,285 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,285 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,289 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 2.05451506e-04 -8.44363775e-03 -1.34615256e-02 ...  7.58273806e-03
    -2.42352635e-02  5.55...
[ 2018-10-17 17:08:08,289 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,289 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:08,289 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,289 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,293 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[ 2.05451506e-04 -8.44363775e-03 -1.34615256e-02 ...  7.58273806e-03
    -2.42352635e-02  5.55...
[ 2018-10-17 17:08:08,293 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,297 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 2.05451506e-04 -8.44363775e-03 -1.34615256e-02 ...  7.58273806e-03
    -2.42352635e-02  5.55...
[ 2018-10-17 17:08:08,297 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,298 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,298 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,298 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,298 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,299 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.41814524 0.38908213 0.8030382  0.58558327 0.20129454 0.8641793
 1.2567782  0.623096   0.670439...
[ 2018-10-17 17:08:08,299 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,299 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,299 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,299 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,300 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [0.41814524 0.38908213 0.8030382  0.58558327 0.20129454 0.8641793
 1.2567782  0.623096   0.670439...
[ 2018-10-17 17:08:08,300 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,302 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [0.41814524 0.38908213 0.8030382  0.58558327 0.20129454 0.8641793
 1.2567782  0.623096   0.670439...
[ 2018-10-17 17:08:08,302 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,302 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,302 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,302 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,302 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,303 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.5708547  -0.7824553  -0.2746966  -0.43642983 -0.6163871  -0.65088737
  0.06134596  0.6195327 ...
[ 2018-10-17 17:08:08,303 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,303 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,303 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,304 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,304 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.5708547  -0.7824553  -0.2746966  -0.43642983 -0.6163871  -0.65088737
  0.06134596  0.6195327 ...
[ 2018-10-17 17:08:08,304 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,305 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.5708547  -0.7824553  -0.2746966  -0.43642983 -0.6163871  -0.65088737
  0.06134596  0.6195327 ...
[ 2018-10-17 17:08:08,306 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,306 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,306 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,306 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,306 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,307 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.5291292  -0.643531    0.08968202 -0.31059277 -1.5480309   0.09502382
 -0.3539853  -0.2933525 ...
[ 2018-10-17 17:08:08,307 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,307 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,307 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,307 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,308 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.5291292  -0.643531    0.08968202 -0.31059277 -1.5480309   0.09502382
 -0.3539853  -0.2933525 ...
[ 2018-10-17 17:08:08,308 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,309 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.5291292  -0.643531    0.08968202 -0.31059277 -1.5480309   0.09502382
 -0.3539853  -0.2933525 ...
[ 2018-10-17 17:08:08,309 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,309 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,309 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,310 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,310 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,310 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.0435547   0.00878171  0.01010045 ... -0.01984509  0.04691645
    -0.01920909]
   [-0.06662...
[ 2018-10-17 17:08:08,311 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,311 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,311 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,311 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,312 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[-0.0435547   0.00878171  0.01010045 ... -0.01984509  0.04691645
    -0.01920909]
   [-0.06662...
[ 2018-10-17 17:08:08,312 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,313 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.0435547   0.00878171  0.01010045 ... -0.01984509  0.04691645
    -0.01920909]
   [-0.06662...
[ 2018-10-17 17:08:08,313 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,313 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,313 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,313 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,313 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,314 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.5838503  0.8638357  0.861818   0.6480548  0.90750325 0.7871055
 1.1418918  0.8403891  1.420220...
[ 2018-10-17 17:08:08,315 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,315 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,315 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,315 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,316 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.5838503  0.8638357  0.861818   0.6480548  0.90750325 0.7871055
 1.1418918  0.8403891  1.420220...
[ 2018-10-17 17:08:08,316 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,317 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.5838503  0.8638357  0.861818   0.6480548  0.90750325 0.7871055
 1.1418918  0.8403891  1.420220...
[ 2018-10-17 17:08:08,318 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,318 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,318 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,318 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,318 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,319 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.21033125 -0.11824264 -1.1787364  -0.05145423  0.75052184 -1.0533671
  0.9425897   1.4581188  ...
[ 2018-10-17 17:08:08,319 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,319 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,319 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,320 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,321 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.21033125 -0.11824264 -1.1787364  -0.05145423  0.75052184 -1.0533671
  0.9425897   1.4581188  ...
[ 2018-10-17 17:08:08,321 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,322 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.21033125 -0.11824264 -1.1787364  -0.05145423  0.75052184 -1.0533671
  0.9425897   1.4581188  ...
[ 2018-10-17 17:08:08,322 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,322 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,322 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,322 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,323 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,324 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-2.88441088e-02  1.26355648e-01  1.15652049e+00 -5.11456072e-01
  7.51786947e-01  3.99514675e-01...
[ 2018-10-17 17:08:08,324 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,324 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,324 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,324 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,325 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-2.88441088e-02  1.26355648e-01  1.15652049e+00 -5.11456072e-01
  7.51786947e-01  3.99514675e-01...
[ 2018-10-17 17:08:08,325 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,326 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-2.88441088e-02  1.26355648e-01  1.15652049e+00 -5.11456072e-01
  7.51786947e-01  3.99514675e-01...
[ 2018-10-17 17:08:08,327 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,327 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,327 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,327 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,327 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,328 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.03751764 -0.04804767 -0.05372642 ...  0.00815662  0.0473995
     0.02825137]
   [ 0.111930...
[ 2018-10-17 17:08:08,328 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,328 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,328 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,328 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,329 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[ 0.03751764 -0.04804767 -0.05372642 ...  0.00815662  0.0473995
     0.02825137]
   [ 0.111930...
[ 2018-10-17 17:08:08,329 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,330 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.03751764 -0.04804767 -0.05372642 ...  0.00815662  0.0473995
     0.02825137]
   [ 0.111930...
[ 2018-10-17 17:08:08,330 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,330 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,330 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,330 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,331 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,332 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.15840034 0.5504912  0.20442662 0.28629842 0.458667   0.22442423
 0.26246572 0.27418888 0.18908...
[ 2018-10-17 17:08:08,332 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,332 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,332 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,332 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,333 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [0.15840034 0.5504912  0.20442662 0.28629842 0.458667   0.22442423
 0.26246572 0.27418888 0.18908...
[ 2018-10-17 17:08:08,334 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,335 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [0.15840034 0.5504912  0.20442662 0.28629842 0.458667   0.22442423
 0.26246572 0.27418888 0.18908...
[ 2018-10-17 17:08:08,335 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,335 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,335 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,335 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,335 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,337 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 2.72824836e+00  7.31376469e-01 -6.93996251e-01 -4.91210595e-02
 -5.30114293e-01 -7.80787468e-01...
[ 2018-10-17 17:08:08,337 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,337 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,337 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,337 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,338 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 2.72824836e+00  7.31376469e-01 -6.93996251e-01 -4.91210595e-02
 -5.30114293e-01 -7.80787468e-01...
[ 2018-10-17 17:08:08,338 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,340 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 2.72824836e+00  7.31376469e-01 -6.93996251e-01 -4.91210595e-02
 -5.30114293e-01 -7.80787468e-01...
[ 2018-10-17 17:08:08,340 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,340 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,340 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,340 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,340 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,342 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.78624296 -0.22543992 -1.5095009  -0.8839682  -0.7455455  -0.6840279
 -0.9665877  -0.81768996 ...
[ 2018-10-17 17:08:08,342 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,342 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,342 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,342 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,343 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.78624296 -0.22543992 -1.5095009  -0.8839682  -0.7455455  -0.6840279
 -0.9665877  -0.81768996 ...
[ 2018-10-17 17:08:08,344 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,345 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.78624296 -0.22543992 -1.5095009  -0.8839682  -0.7455455  -0.6840279
 -0.9665877  -0.81768996 ...
[ 2018-10-17 17:08:08,345 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,345 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights
[ 2018-10-17 17:08:08,345 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,345 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,345 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,346 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.00662147 -0.06943642  0.01788515 ... -0.00487741  0.02116161
     0.0117077 ]
   [ 0.00057...
[ 2018-10-17 17:08:08,346 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,346 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights/read
[ 2018-10-17 17:08:08,346 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,347 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,347 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[-0.00662147 -0.06943642  0.01788515 ... -0.00487741  0.02116161
     0.0117077 ]
   [ 0.00057...
[ 2018-10-17 17:08:08,347 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,348 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[-0.00662147 -0.06943642  0.01788515 ... -0.00487741  0.02116161
     0.0117077 ]
   [ 0.00057...
[ 2018-10-17 17:08:08,348 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,348 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,348 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,349 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,349 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,350 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.4004177  0.47649524 0.5777852  0.6952787  0.37514725 0.6735198
 0.8220029  0.41278586 0.559907...
[ 2018-10-17 17:08:08,350 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,350 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,350 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,350 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,351 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [1.4004177  0.47649524 0.5777852  0.6952787  0.37514725 0.6735198
 0.8220029  0.41278586 0.559907...
[ 2018-10-17 17:08:08,352 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,353 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.4004177  0.47649524 0.5777852  0.6952787  0.37514725 0.6735198
 0.8220029  0.41278586 0.559907...
[ 2018-10-17 17:08:08,353 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,353 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,353 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,353 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,353 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,354 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.3345195  -0.21619348 -0.7265166  -0.3813854  -0.34658954 -0.2082804
 -0.20254001 -0.23169181 ...
[ 2018-10-17 17:08:08,355 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,355 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,355 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,355 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,356 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.3345195  -0.21619348 -0.7265166  -0.3813854  -0.34658954 -0.2082804
 -0.20254001 -0.23169181 ...
[ 2018-10-17 17:08:08,356 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,357 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.3345195  -0.21619348 -0.7265166  -0.3813854  -0.34658954 -0.2082804
 -0.20254001 -0.23169181 ...
[ 2018-10-17 17:08:08,357 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,357 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,357 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,358 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,358 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,359 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 2.238775   -0.4636217  -0.5318979  -0.06796356 -0.45894518 -0.40017962
 -0.3009413  -0.40603632...
[ 2018-10-17 17:08:08,359 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,359 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,359 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,359 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,361 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 2.238775   -0.4636217  -0.5318979  -0.06796356 -0.45894518 -0.40017962
 -0.3009413  -0.40603632...
[ 2018-10-17 17:08:08,361 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,362 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 2.238775   -0.4636217  -0.5318979  -0.06796356 -0.45894518 -0.40017962
 -0.3009413  -0.40603632...
[ 2018-10-17 17:08:08,362 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,362 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights
[ 2018-10-17 17:08:08,362 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,362 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,362 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,366 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[ 9.27254856e-02 -3.64370667e-03  2.13751607e-02 ... -1.91560537e-02
    -5.00724930e-03  2.15...
[ 2018-10-17 17:08:08,366 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,366 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights/read
[ 2018-10-17 17:08:08,366 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,367 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,370 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 96 96], value = [[[[ 9.27254856e-02 -3.64370667e-03  2.13751607e-02 ... -1.91560537e-02
    -5.00724930e-03  2.15...
[ 2018-10-17 17:08:08,371 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,374 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 96 96], value = [[[[ 9.27254856e-02 -3.64370667e-03  2.13751607e-02 ... -1.91560537e-02
    -5.00724930e-03  2.15...
[ 2018-10-17 17:08:08,375 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,375 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,375 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,375 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,375 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,377 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.0625997  0.9154162  0.835279   1.2297642  0.66277343 1.5263284
 0.7841831  1.1930102  1.009626...
[ 2018-10-17 17:08:08,377 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,377 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,377 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,377 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,379 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [1.0625997  0.9154162  0.835279   1.2297642  0.66277343 1.5263284
 0.7841831  1.1930102  1.009626...
[ 2018-10-17 17:08:08,379 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,380 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.0625997  0.9154162  0.835279   1.2297642  0.66277343 1.5263284
 0.7841831  1.1930102  1.009626...
[ 2018-10-17 17:08:08,380 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,380 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,380 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,381 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,381 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,382 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.74775267 -0.14865315 -0.377458   -0.3102422  -0.46975493 -0.59860396
 -0.541132   -0.6043984 ...
[ 2018-10-17 17:08:08,382 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,382 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,382 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,383 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,384 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.74775267 -0.14865315 -0.377458   -0.3102422  -0.46975493 -0.59860396
 -0.541132   -0.6043984 ...
[ 2018-10-17 17:08:08,384 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,385 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.74775267 -0.14865315 -0.377458   -0.3102422  -0.46975493 -0.59860396
 -0.541132   -0.6043984 ...
[ 2018-10-17 17:08:08,386 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,386 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,386 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,386 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,386 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,387 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.06756487 -0.02289394 -0.7216043  -0.43155694 -0.6308205  -0.24577181
 -0.6800768  -0.4924377 ...
[ 2018-10-17 17:08:08,388 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,388 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,388 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,388 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,389 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.06756487 -0.02289394 -0.7216043  -0.43155694 -0.6308205  -0.24577181
 -0.6800768  -0.4924377 ...
[ 2018-10-17 17:08:08,390 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,391 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.06756487 -0.02289394 -0.7216043  -0.43155694 -0.6308205  -0.24577181
 -0.6800768  -0.4924377 ...
[ 2018-10-17 17:08:08,391 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,391 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:08,391 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,392 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,392 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,396 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-3.80444229e-02 -1.10981995e-02 -1.14857079e-03 ... -5.17832078e-02
     4.34773713e-02  7.52...
[ 2018-10-17 17:08:08,396 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,396 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:08,396 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,396 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,400 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[-3.80444229e-02 -1.10981995e-02 -1.14857079e-03 ... -5.17832078e-02
     4.34773713e-02  7.52...
[ 2018-10-17 17:08:08,402 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,405 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-3.80444229e-02 -1.10981995e-02 -1.14857079e-03 ... -5.17832078e-02
     4.34773713e-02  7.52...
[ 2018-10-17 17:08:08,406 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,406 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,406 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,406 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,406 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,407 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.6452323  1.3192345  1.3539612  0.57462114 1.5102613  1.1730864
 2.456178   3.3678286  0.768016...
[ 2018-10-17 17:08:08,408 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,408 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,408 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,408 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,409 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [1.6452323  1.3192345  1.3539612  0.57462114 1.5102613  1.1730864
 2.456178   3.3678286  0.768016...
[ 2018-10-17 17:08:08,409 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,410 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.6452323  1.3192345  1.3539612  0.57462114 1.5102613  1.1730864
 2.456178   3.3678286  0.768016...
[ 2018-10-17 17:08:08,410 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,410 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,410 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,410 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,410 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,411 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-1.3757157  -0.04709681 -1.0250845   0.7305794  -0.10343996  3.016716
 -2.2849376   3.6163955  -...
[ 2018-10-17 17:08:08,412 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,412 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,412 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,412 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,413 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-1.3757157  -0.04709681 -1.0250845   0.7305794  -0.10343996  3.016716
 -2.2849376   3.6163955  -...
[ 2018-10-17 17:08:08,413 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,414 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-1.3757157  -0.04709681 -1.0250845   0.7305794  -0.10343996  3.016716
 -2.2849376   3.6163955  -...
[ 2018-10-17 17:08:08,414 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,414 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,415 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,415 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,415 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,416 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 2.0856139e-01  9.7811799e-03 -1.9715285e-01 -6.0278589e-01
  3.7598664e-01 -5.1300917e-02  4.39...
[ 2018-10-17 17:08:08,416 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,416 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,416 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,416 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,417 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 2.0856139e-01  9.7811799e-03 -1.9715285e-01 -6.0278589e-01
  3.7598664e-01 -5.1300917e-02  4.39...
[ 2018-10-17 17:08:08,417 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,418 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 2.0856139e-01  9.7811799e-03 -1.9715285e-01 -6.0278589e-01
  3.7598664e-01 -5.1300917e-02  4.39...
[ 2018-10-17 17:08:08,419 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,419 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,419 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,419 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,419 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,420 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.05199982 -0.00085611  0.00489652 ... -0.02741268  0.01597182
    -0.0321612 ]
   [-0.06725...
[ 2018-10-17 17:08:08,420 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,420 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,420 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,421 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,421 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[-0.05199982 -0.00085611  0.00489652 ... -0.02741268  0.01597182
    -0.0321612 ]
   [-0.06725...
[ 2018-10-17 17:08:08,421 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,422 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.05199982 -0.00085611  0.00489652 ... -0.02741268  0.01597182
    -0.0321612 ]
   [-0.06725...
[ 2018-10-17 17:08:08,422 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,422 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,422 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,423 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,423 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,424 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.2536626  2.0795991  1.1475     1.5266687  0.66926336 0.4303571
 2.4543948  0.9822183  1.700615...
[ 2018-10-17 17:08:08,432 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,432 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,432 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,433 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,434 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [1.2536626  2.0795991  1.1475     1.5266687  0.66926336 0.4303571
 2.4543948  0.9822183  1.700615...
[ 2018-10-17 17:08:08,434 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,439 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.2536626  2.0795991  1.1475     1.5266687  0.66926336 0.4303571
 2.4543948  0.9822183  1.700615...
[ 2018-10-17 17:08:08,439 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,439 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,439 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,439 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,439 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,441 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.6235018  -0.29635298 -0.8697986  -0.23938277 -0.49844405 -0.98649794
 -1.1423411  -0.86887115...
[ 2018-10-17 17:08:08,441 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,441 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,441 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,441 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,443 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.6235018  -0.29635298 -0.8697986  -0.23938277 -0.49844405 -0.98649794
 -1.1423411  -0.86887115...
[ 2018-10-17 17:08:08,443 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,445 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.6235018  -0.29635298 -0.8697986  -0.23938277 -0.49844405 -0.98649794
 -1.1423411  -0.86887115...
[ 2018-10-17 17:08:08,445 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,445 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,445 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,445 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,445 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,446 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.6110974  -0.11219188 -0.46179706 -0.08526525 -0.40728647 -1.0401384
  0.42584845  0.15058683 ...
[ 2018-10-17 17:08:08,447 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,447 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,447 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,447 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,449 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.6110974  -0.11219188 -0.46179706 -0.08526525 -0.40728647 -1.0401384
  0.42584845  0.15058683 ...
[ 2018-10-17 17:08:08,449 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,451 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.6110974  -0.11219188 -0.46179706 -0.08526525 -0.40728647 -1.0401384
  0.42584845  0.15058683 ...
[ 2018-10-17 17:08:08,451 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,451 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/weights
[ 2018-10-17 17:08:08,451 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,451 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,452 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,457 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 3.18484381e-02  3.24018002e-02 -3.06813084e-02 ...  2.53462456e-02
     2.35756319e-02 -9.15...
[ 2018-10-17 17:08:08,457 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,457 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/weights/read
[ 2018-10-17 17:08:08,457 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,457 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,461 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[ 3.18484381e-02  3.24018002e-02 -3.06813084e-02 ...  2.53462456e-02
     2.35756319e-02 -9.15...
[ 2018-10-17 17:08:08,461 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,464 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 3.18484381e-02  3.24018002e-02 -3.06813084e-02 ...  2.53462456e-02
     2.35756319e-02 -9.15...
[ 2018-10-17 17:08:08,465 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,465 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,465 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,465 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,465 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,466 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [2.2400618  0.8626182  0.74528503 0.6660026  0.6770034  0.64697766
 0.93273956 2.1183858  2.04117...
[ 2018-10-17 17:08:08,466 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,466 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,466 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,466 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,471 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [2.2400618  0.8626182  0.74528503 0.6660026  0.6770034  0.64697766
 0.93273956 2.1183858  2.04117...
[ 2018-10-17 17:08:08,471 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,472 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [2.2400618  0.8626182  0.74528503 0.6660026  0.6770034  0.64697766
 0.93273956 2.1183858  2.04117...
[ 2018-10-17 17:08:08,472 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,472 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,472 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,472 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,472 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,473 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.738143    0.590696   -0.04387323 -0.39730036  0.36834395 -0.69210315
 -0.4513901  -0.9488442 ...
[ 2018-10-17 17:08:08,473 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,473 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,473 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,473 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,474 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.738143    0.590696   -0.04387323 -0.39730036  0.36834395 -0.69210315
 -0.4513901  -0.9488442 ...
[ 2018-10-17 17:08:08,474 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,475 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.738143    0.590696   -0.04387323 -0.39730036  0.36834395 -0.69210315
 -0.4513901  -0.9488442 ...
[ 2018-10-17 17:08:08,475 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,476 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,476 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,476 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,476 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,477 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.44067618 -0.30185205 -0.5711381  -0.00773187 -0.3368959  -0.44117853
  0.4495793   0.4203132 ...
[ 2018-10-17 17:08:08,477 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,477 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,477 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,478 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,478 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 0.44067618 -0.30185205 -0.5711381  -0.00773187 -0.3368959  -0.44117853
  0.4495793   0.4203132 ...
[ 2018-10-17 17:08:08,479 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,479 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.44067618 -0.30185205 -0.5711381  -0.00773187 -0.3368959  -0.44117853
  0.4495793   0.4203132 ...
[ 2018-10-17 17:08:08,480 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,480 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,480 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,480 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,480 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,481 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.01742802 -0.00666482  0.00475444 ... -0.00867669  0.02741515
    -0.03037171]
   [ 0.01669...
[ 2018-10-17 17:08:08,481 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,482 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,482 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,482 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,483 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  64], value = [[[[ 0.01742802 -0.00666482  0.00475444 ... -0.00867669  0.02741515
    -0.03037171]
   [ 0.01669...
[ 2018-10-17 17:08:08,483 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,483 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  64], value = [[[[ 0.01742802 -0.00666482  0.00475444 ... -0.00867669  0.02741515
    -0.03037171]
   [ 0.01669...
[ 2018-10-17 17:08:08,484 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,484 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,484 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,484 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,484 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,485 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 3.317942    0.69645643  1.1195341   2.9485166   1.1022736   1.0148042
  1.0698539   0.7078995  ...
[ 2018-10-17 17:08:08,485 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,485 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,485 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,486 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,487 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 3.317942    0.69645643  1.1195341   2.9485166   1.1022736   1.0148042
  1.0698539   0.7078995  ...
[ 2018-10-17 17:08:08,488 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,489 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 3.317942    0.69645643  1.1195341   2.9485166   1.1022736   1.0148042
  1.0698539   0.7078995  ...
[ 2018-10-17 17:08:08,489 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,489 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,489 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,489 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,490 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,491 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.2714266  -0.59736     1.505872    2.7756348  -3.2226508  -0.45257953
 -0.6736186  -1.8618573 ...
[ 2018-10-17 17:08:08,491 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,491 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,491 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,491 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,493 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-1.2714266  -0.59736     1.505872    2.7756348  -3.2226508  -0.45257953
 -0.6736186  -1.8618573 ...
[ 2018-10-17 17:08:08,493 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,494 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-1.2714266  -0.59736     1.505872    2.7756348  -3.2226508  -0.45257953
 -0.6736186  -1.8618573 ...
[ 2018-10-17 17:08:08,494 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,494 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,495 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,495 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,495 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,496 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.12437105 -0.31976703 -0.138841    0.3847948   0.11147065  0.79308593
  0.07920215 -0.44520217...
[ 2018-10-17 17:08:08,496 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,496 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,496 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,497 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,498 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.12437105 -0.31976703 -0.138841    0.3847948   0.11147065  0.79308593
  0.07920215 -0.44520217...
[ 2018-10-17 17:08:08,498 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,499 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.12437105 -0.31976703 -0.138841    0.3847948   0.11147065  0.79308593
  0.07920215 -0.44520217...
[ 2018-10-17 17:08:08,500 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,500 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,500 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,500 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,500 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,501 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.00555559 -0.01474024 -0.01286502 ...  0.04392688  0.06713531
    -0.09808106]
   [ 0.15913...
[ 2018-10-17 17:08:08,501 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,501 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,501 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,502 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,502 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 384  96], value = [[[[ 0.00555559 -0.01474024 -0.01286502 ...  0.04392688  0.06713531
    -0.09808106]
   [ 0.15913...
[ 2018-10-17 17:08:08,502 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,503 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 384  96], value = [[[[ 0.00555559 -0.01474024 -0.01286502 ...  0.04392688  0.06713531
    -0.09808106]
   [ 0.15913...
[ 2018-10-17 17:08:08,503 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,503 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,504 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,504 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,504 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,506 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1.2157586  1.8887165  1.8772006  1.6355499  0.9663425  1.6023705
 1.3408221  1.1308659  0.736332...
[ 2018-10-17 17:08:08,506 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,506 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,506 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,506 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,508 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [1.2157586  1.8887165  1.8772006  1.6355499  0.9663425  1.6023705
 1.3408221  1.1308659  0.736332...
[ 2018-10-17 17:08:08,508 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,510 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [1.2157586  1.8887165  1.8772006  1.6355499  0.9663425  1.6023705
 1.3408221  1.1308659  0.736332...
[ 2018-10-17 17:08:08,510 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,510 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,511 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,511 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,511 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,513 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [  1.6963758   -1.5382496    1.2077291    0.57000786  -2.9478276
  -2.2447135   -1.5247219    2.0...
[ 2018-10-17 17:08:08,513 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,513 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,514 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,514 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,516 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [  1.6963758   -1.5382496    1.2077291    0.57000786  -2.9478276
  -2.2447135   -1.5247219    2.0...
[ 2018-10-17 17:08:08,516 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,518 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [  1.6963758   -1.5382496    1.2077291    0.57000786  -2.9478276
  -2.2447135   -1.5247219    2.0...
[ 2018-10-17 17:08:08,518 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,518 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,518 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,518 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,518 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,521 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.4207688  -0.17931266 -0.18875776 -0.27420688 -0.7045004  -0.16770175
 -0.29936868 -0.6380015 ...
[ 2018-10-17 17:08:08,521 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,521 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,521 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,522 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,524 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [192], value = [-0.4207688  -0.17931266 -0.18875776 -0.27420688 -0.7045004  -0.16770175
 -0.29936868 -0.6380015 ...
[ 2018-10-17 17:08:08,524 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,526 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [192], value = [-0.4207688  -0.17931266 -0.18875776 -0.27420688 -0.7045004  -0.16770175
 -0.29936868 -0.6380015 ...
[ 2018-10-17 17:08:08,526 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,526 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:08,526 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,526 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,526 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,530 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 192 192], value = [[[[-7.98591692e-03 -8.93157050e-02 -2.32669022e-02 ...  2.07524956e-03
     1.63134262e-02 -3.44...
[ 2018-10-17 17:08:08,530 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,531 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:08,531 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,531 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,534 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  3   3 192 192], value = [[[[-7.98591692e-03 -8.93157050e-02 -2.32669022e-02 ...  2.07524956e-03
     1.63134262e-02 -3.44...
[ 2018-10-17 17:08:08,534 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,538 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  3   3 192 192], value = [[[[-7.98591692e-03 -8.93157050e-02 -2.32669022e-02 ...  2.07524956e-03
     1.63134262e-02 -3.44...
[ 2018-10-17 17:08:08,538 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,538 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,538 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,538 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,539 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,540 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.2514561  1.7643623  1.9205613  1.5071427  2.6693532  1.7305756
 1.1079463  1.3373923  1.123197...
[ 2018-10-17 17:08:08,540 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,540 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,540 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,540 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,543 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [1.2514561  1.7643623  1.9205613  1.5071427  2.6693532  1.7305756
 1.1079463  1.3373923  1.123197...
[ 2018-10-17 17:08:08,543 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,545 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [1.2514561  1.7643623  1.9205613  1.5071427  2.6693532  1.7305756
 1.1079463  1.3373923  1.123197...
[ 2018-10-17 17:08:08,545 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,545 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,545 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,545 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,545 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,547 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.8832702  -0.2562185  -0.25810122 -0.08612569  0.4858364   0.57002914
 -1.1595672  -1.0447329 ...
[ 2018-10-17 17:08:08,547 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,547 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,547 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,547 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,548 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.8832702  -0.2562185  -0.25810122 -0.08612569  0.4858364   0.57002914
 -1.1595672  -1.0447329 ...
[ 2018-10-17 17:08:08,548 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,549 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.8832702  -0.2562185  -0.25810122 -0.08612569  0.4858364   0.57002914
 -1.1595672  -1.0447329 ...
[ 2018-10-17 17:08:08,550 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,550 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,550 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,550 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,550 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,551 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.582003   -0.38377994  1.0535879  -0.14143859 -0.2497971   0.8630785
  1.421352   -0.4617118  ...
[ 2018-10-17 17:08:08,551 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,551 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,552 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,552 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,553 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.582003   -0.38377994  1.0535879  -0.14143859 -0.2497971   0.8630785
  1.421352   -0.4617118  ...
[ 2018-10-17 17:08:08,553 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,554 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.582003   -0.38377994  1.0535879  -0.14143859 -0.2497971   0.8630785
  1.421352   -0.4617118  ...
[ 2018-10-17 17:08:08,554 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,554 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:08,554 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,555 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,555 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,559 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 1.49138784e-02  2.75469124e-02 -2.04582904e-02 ...  1.90981794e-02
     1.50698982e-02 -3.04...
[ 2018-10-17 17:08:08,559 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,559 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:08,559 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,559 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,563 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[ 1.49138784e-02  2.75469124e-02 -2.04582904e-02 ...  1.90981794e-02
     1.50698982e-02 -3.04...
[ 2018-10-17 17:08:08,563 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,567 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 1.49138784e-02  2.75469124e-02 -2.04582904e-02 ...  1.90981794e-02
     1.50698982e-02 -3.04...
[ 2018-10-17 17:08:08,567 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,567 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,567 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,567 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,567 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,568 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.3716825e+00 3.5474842e+00 5.7492676e+00 2.4637461e+00 8.1277788e-01
 1.4795500e+00 1.0466847e+...
[ 2018-10-17 17:08:08,568 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,568 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,568 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,569 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,569 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [1.3716825e+00 3.5474842e+00 5.7492676e+00 2.4637461e+00 8.1277788e-01
 1.4795500e+00 1.0466847e+...
[ 2018-10-17 17:08:08,569 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,570 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.3716825e+00 3.5474842e+00 5.7492676e+00 2.4637461e+00 8.1277788e-01
 1.4795500e+00 1.0466847e+...
[ 2018-10-17 17:08:08,570 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,571 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,571 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,571 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,571 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,572 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-5.5714720e-01 -2.7856667e+00 -2.0080912e+00 -3.0409808e+00
  8.1952488e-01 -2.0519669e+00  2.55...
[ 2018-10-17 17:08:08,572 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,572 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,572 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,572 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,573 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-5.5714720e-01 -2.7856667e+00 -2.0080912e+00 -3.0409808e+00
  8.1952488e-01 -2.0519669e+00  2.55...
[ 2018-10-17 17:08:08,573 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,574 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-5.5714720e-01 -2.7856667e+00 -2.0080912e+00 -3.0409808e+00
  8.1952488e-01 -2.0519669e+00  2.55...
[ 2018-10-17 17:08:08,575 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,575 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
[ 2018-10-17 17:08:08,575 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,575 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,575 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,576 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.1142961   0.2876419   0.45412287 -0.14535733 -0.70032835 -0.37285328
 -0.5372889  -0.50581944...
[ 2018-10-17 17:08:08,576 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,576 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,576 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,577 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,577 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.1142961   0.2876419   0.45412287 -0.14535733 -0.70032835 -0.37285328
 -0.5372889  -0.50581944...
[ 2018-10-17 17:08:08,578 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,578 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.1142961   0.2876419   0.45412287 -0.14535733 -0.70032835 -0.37285328
 -0.5372889  -0.50581944...
[ 2018-10-17 17:08:08,579 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,579 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/weights
[ 2018-10-17 17:08:08,579 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,579 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,579 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,581 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 7  1 64 64], value = [[[[-9.5568206e-03  3.9661296e-02 -8.3766459e-03 ... -3.1427395e-02
    -7.7088714e-02  1.0232638...
[ 2018-10-17 17:08:08,582 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,582 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/weights/read
[ 2018-10-17 17:08:08,582 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,582 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,584 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 7  1 64 64], value = [[[[-9.5568206e-03  3.9661296e-02 -8.3766459e-03 ... -3.1427395e-02
    -7.7088714e-02  1.0232638...
[ 2018-10-17 17:08:08,585 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,587 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 7  1 64 64], value = [[[[-9.5568206e-03  3.9661296e-02 -8.3766459e-03 ... -3.1427395e-02
    -7.7088714e-02  1.0232638...
[ 2018-10-17 17:08:08,587 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,588 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,588 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,588 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,588 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,591 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.6571695e+00 1.3090222e+00 1.1576233e+00 5.5553943e-01 4.6711281e-01
 2.4223428e+00 4.4409424e-...
[ 2018-10-17 17:08:08,591 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,591 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,591 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,591 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,592 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [1.6571695e+00 1.3090222e+00 1.1576233e+00 5.5553943e-01 4.6711281e-01
 2.4223428e+00 4.4409424e-...
[ 2018-10-17 17:08:08,592 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,593 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.6571695e+00 1.3090222e+00 1.1576233e+00 5.5553943e-01 4.6711281e-01
 2.4223428e+00 4.4409424e-...
[ 2018-10-17 17:08:08,593 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,593 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,593 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,594 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,594 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,594 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-8.40791881e-01 -1.07560992e+00 -9.33814347e-01 -7.31530666e-01
 -1.10636985e+00 -7.95669615e-01...
[ 2018-10-17 17:08:08,595 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,595 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,595 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,595 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,596 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-8.40791881e-01 -1.07560992e+00 -9.33814347e-01 -7.31530666e-01
 -1.10636985e+00 -7.95669615e-01...
[ 2018-10-17 17:08:08,596 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,597 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-8.40791881e-01 -1.07560992e+00 -9.33814347e-01 -7.31530666e-01
 -1.10636985e+00 -7.95669615e-01...
[ 2018-10-17 17:08:08,597 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,597 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
[ 2018-10-17 17:08:08,597 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,597 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,597 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,598 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.03069998  0.6414185  -0.3188793  -0.8771362  -0.45524246  0.89681226
 -0.9016986   0.04344049...
[ 2018-10-17 17:08:08,598 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,599 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
[ 2018-10-17 17:08:08,599 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,599 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,600 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.03069998  0.6414185  -0.3188793  -0.8771362  -0.45524246  0.89681226
 -0.9016986   0.04344049...
[ 2018-10-17 17:08:08,600 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,601 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.03069998  0.6414185  -0.3188793  -0.8771362  -0.45524246  0.89681226
 -0.9016986   0.04344049...
[ 2018-10-17 17:08:08,601 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,601 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/weights
[ 2018-10-17 17:08:08,601 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,601 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,601 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,604 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1  7 64 64], value = [[[[-2.96094231e-02  2.61964779e-02 -2.28182599e-03 ... -3.11616932e-30
    -4.18953151e-02  8.87...
[ 2018-10-17 17:08:08,604 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,604 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/weights/read
[ 2018-10-17 17:08:08,605 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,605 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,608 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1  7 64 64], value = [[[[-2.96094231e-02  2.61964779e-02 -2.28182599e-03 ... -3.11616932e-30
    -4.18953151e-02  8.87...
[ 2018-10-17 17:08:08,608 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,610 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1  7 64 64], value = [[[[-2.96094231e-02  2.61964779e-02 -2.28182599e-03 ... -3.11616932e-30
    -4.18953151e-02  8.87...
[ 2018-10-17 17:08:08,610 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,610 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,611 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,611 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,611 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,612 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.2060472e+00 1.3084146e+00 8.3453912e-01 8.1708229e-15 1.1607956e+00
 1.0242374e+00 2.8920476e-...
[ 2018-10-17 17:08:08,612 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,612 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,612 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,612 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,613 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [1.2060472e+00 1.3084146e+00 8.3453912e-01 8.1708229e-15 1.1607956e+00
 1.0242374e+00 2.8920476e-...
[ 2018-10-17 17:08:08,613 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,614 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.2060472e+00 1.3084146e+00 8.3453912e-01 8.1708229e-15 1.1607956e+00
 1.0242374e+00 2.8920476e-...
[ 2018-10-17 17:08:08,614 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,614 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,614 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,615 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,615 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,616 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-9.4465464e-01 -1.7975423e+00 -2.9839211e+00 -2.8075103e-10
 -1.6084106e+00 -2.6474907e+00 -4.95...
[ 2018-10-17 17:08:08,616 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,616 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,616 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,616 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,617 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-9.4465464e-01 -1.7975423e+00 -2.9839211e+00 -2.8075103e-10
 -1.6084106e+00 -2.6474907e+00 -4.95...
[ 2018-10-17 17:08:08,617 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,618 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-9.4465464e-01 -1.7975423e+00 -2.9839211e+00 -2.8075103e-10
 -1.6084106e+00 -2.6474907e+00 -4.95...
[ 2018-10-17 17:08:08,618 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,618 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,618 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,619 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,619 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,620 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.14087906 -0.3249946  -0.5197204  -1.9661967  -0.19258387 -0.59386194
 -1.8443042  -0.46402624...
[ 2018-10-17 17:08:08,620 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,620 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,620 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,620 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,621 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-0.14087906 -0.3249946  -0.5197204  -1.9661967  -0.19258387 -0.59386194
 -1.8443042  -0.46402624...
[ 2018-10-17 17:08:08,621 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,622 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-0.14087906 -0.3249946  -0.5197204  -1.9661967  -0.19258387 -0.59386194
 -1.8443042  -0.46402624...
[ 2018-10-17 17:08:08,622 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,622 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,622 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,622 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,622 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,623 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 160  64], value = [[[[-3.7890539e-02  5.3839497e-02 -4.4275086e-02 ... -6.0040719e-30
     8.6566605e-02  9.2232130...
[ 2018-10-17 17:08:08,623 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,623 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,623 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,624 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,624 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 160  64], value = [[[[-3.7890539e-02  5.3839497e-02 -4.4275086e-02 ... -6.0040719e-30
     8.6566605e-02  9.2232130...
[ 2018-10-17 17:08:08,624 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,625 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 160  64], value = [[[[-3.7890539e-02  5.3839497e-02 -4.4275086e-02 ... -6.0040719e-30
     8.6566605e-02  9.2232130...
[ 2018-10-17 17:08:08,625 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,626 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,626 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,626 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,626 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,627 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [4.24457    4.6186028  0.6311832  1.7840383  1.3168339  3.273008
 1.3563839  1.1060789  2.2650197...
[ 2018-10-17 17:08:08,627 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,627 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,627 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,627 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,629 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [4.24457    4.6186028  0.6311832  1.7840383  1.3168339  3.273008
 1.3563839  1.1060789  2.2650197...
[ 2018-10-17 17:08:08,629 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,630 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [4.24457    4.6186028  0.6311832  1.7840383  1.3168339  3.273008
 1.3563839  1.1060789  2.2650197...
[ 2018-10-17 17:08:08,630 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,630 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,630 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,630 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,630 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,632 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.18623418  0.31889036 -0.8712035  -1.3376154  -0.8896569   2.2346172
 -1.6639665  -0.24627687 ...
[ 2018-10-17 17:08:08,632 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,632 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,632 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,632 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,634 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [-0.18623418  0.31889036 -0.8712035  -1.3376154  -0.8896569   2.2346172
 -1.6639665  -0.24627687 ...
[ 2018-10-17 17:08:08,634 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,635 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [-0.18623418  0.31889036 -0.8712035  -1.3376154  -0.8896569   2.2346172
 -1.6639665  -0.24627687 ...
[ 2018-10-17 17:08:08,635 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,635 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,635 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,636 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,636 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,637 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.03876312 -0.09877153 -1.1912216  -0.6431531  -0.63334185 -0.26766294
 -0.73037195 -0.2938849 ...
[ 2018-10-17 17:08:08,637 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,638 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,638 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,638 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,639 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.03876312 -0.09877153 -1.1912216  -0.6431531  -0.63334185 -0.26766294
 -0.73037195 -0.2938849 ...
[ 2018-10-17 17:08:08,639 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,641 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.03876312 -0.09877153 -1.1912216  -0.6431531  -0.63334185 -0.26766294
 -0.73037195 -0.2938849 ...
[ 2018-10-17 17:08:08,641 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,641 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:08,641 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,641 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,641 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,645 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 9.81072616e-03  1.02077434e-02  2.39873752e-02 ...  3.26463673e-03
     2.92229955e-03  3.75...
[ 2018-10-17 17:08:08,645 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,645 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:08,645 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,645 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,649 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[ 9.81072616e-03  1.02077434e-02  2.39873752e-02 ...  3.26463673e-03
     2.92229955e-03  3.75...
[ 2018-10-17 17:08:08,650 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,653 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[ 9.81072616e-03  1.02077434e-02  2.39873752e-02 ...  3.26463673e-03
     2.92229955e-03  3.75...
[ 2018-10-17 17:08:08,653 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,653 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,654 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,654 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,654 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,655 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.3998922e+00 1.3557999e+00 5.3972888e-01 8.8323337e-01 1.3437166e+00
 1.4419191e+00 8.7128609e-...
[ 2018-10-17 17:08:08,655 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,655 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,655 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,655 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,656 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [1.3998922e+00 1.3557999e+00 5.3972888e-01 8.8323337e-01 1.3437166e+00
 1.4419191e+00 8.7128609e-...
[ 2018-10-17 17:08:08,657 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,657 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.3998922e+00 1.3557999e+00 5.3972888e-01 8.8323337e-01 1.3437166e+00
 1.4419191e+00 8.7128609e-...
[ 2018-10-17 17:08:08,658 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,658 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,658 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,658 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,658 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,659 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 5.8247083e-01  9.9593413e-01  6.9844919e-01  3.2342884e-01
 -5.6027949e-01 -3.2321048e+00  9.42...
[ 2018-10-17 17:08:08,659 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,659 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,659 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,660 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,660 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 5.8247083e-01  9.9593413e-01  6.9844919e-01  3.2342884e-01
 -5.6027949e-01 -3.2321048e+00  9.42...
[ 2018-10-17 17:08:08,660 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,661 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 5.8247083e-01  9.9593413e-01  6.9844919e-01  3.2342884e-01
 -5.6027949e-01 -3.2321048e+00  9.42...
[ 2018-10-17 17:08:08,662 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,662 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
[ 2018-10-17 17:08:08,662 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,662 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,662 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,663 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.50087166  0.09275931 -0.8956261  -0.19984064  0.00299497 -0.07617711
  0.70111424 -0.23360924...
[ 2018-10-17 17:08:08,663 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,663 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
[ 2018-10-17 17:08:08,663 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,663 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,664 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 0.50087166  0.09275931 -0.8956261  -0.19984064  0.00299497 -0.07617711
  0.70111424 -0.23360924...
[ 2018-10-17 17:08:08,664 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,665 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 0.50087166  0.09275931 -0.8956261  -0.19984064  0.00299497 -0.07617711
  0.70111424 -0.23360924...
[ 2018-10-17 17:08:08,665 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,665 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/weights
[ 2018-10-17 17:08:08,665 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,666 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,666 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,666 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 160  64], value = [[[[ 0.4406951   0.291433   -0.0523239  ...  0.00572513  0.02800594
    -0.09324916]
   [-0.14902...
[ 2018-10-17 17:08:08,667 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,667 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/weights/read
[ 2018-10-17 17:08:08,667 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,667 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,668 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   1 160  64], value = [[[[ 0.4406951   0.291433   -0.0523239  ...  0.00572513  0.02800594
    -0.09324916]
   [-0.14902...
[ 2018-10-17 17:08:08,668 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,669 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   1 160  64], value = [[[[ 0.4406951   0.291433   -0.0523239  ...  0.00572513  0.02800594
    -0.09324916]
   [-0.14902...
[ 2018-10-17 17:08:08,671 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,671 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,671 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,671 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,673 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,674 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [2.577245   2.9017217  4.279119   2.6262789  2.182457   2.1891224
 2.7995627  4.471802   3.037260...
[ 2018-10-17 17:08:08,675 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,675 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,675 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,675 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,676 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [2.577245   2.9017217  4.279119   2.6262789  2.182457   2.1891224
 2.7995627  4.471802   3.037260...
[ 2018-10-17 17:08:08,676 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,677 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [2.577245   2.9017217  4.279119   2.6262789  2.182457   2.1891224
 2.7995627  4.471802   3.037260...
[ 2018-10-17 17:08:08,678 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,678 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,678 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,678 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,678 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,679 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 8.9183974e-01 -1.4684252e-02 -6.3455451e-01  2.0912313e+00
 -1.0282679e+00  2.0310576e+00 -2.43...
[ 2018-10-17 17:08:08,680 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,680 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,680 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,680 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,681 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 8.9183974e-01 -1.4684252e-02 -6.3455451e-01  2.0912313e+00
 -1.0282679e+00  2.0310576e+00 -2.43...
[ 2018-10-17 17:08:08,681 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,683 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 8.9183974e-01 -1.4684252e-02 -6.3455451e-01  2.0912313e+00
 -1.0282679e+00  2.0310576e+00 -2.43...
[ 2018-10-17 17:08:08,683 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,683 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,683 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,683 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,683 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,684 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.2356589  -0.02200777  0.21037172  0.03402857 -0.03370059  0.0058843
 -0.03954069  0.14068419 ...
[ 2018-10-17 17:08:08,685 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,685 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,685 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,685 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,686 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [96], value = [ 0.2356589  -0.02200777  0.21037172  0.03402857 -0.03370059  0.0058843
 -0.03954069  0.14068419 ...
[ 2018-10-17 17:08:08,686 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,688 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [96], value = [ 0.2356589  -0.02200777  0.21037172  0.03402857 -0.03370059  0.0058843
 -0.03954069  0.14068419 ...
[ 2018-10-17 17:08:08,688 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,688 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/weights
[ 2018-10-17 17:08:08,688 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,688 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,688 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,692 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-0.0390878   0.01677715  0.03130201 ... -0.00151311  0.00837181
     0.01782045]
   [ 0.01531...
[ 2018-10-17 17:08:08,692 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,692 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/weights/read
[ 2018-10-17 17:08:08,692 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,693 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,696 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 64 96], value = [[[[-0.0390878   0.01677715  0.03130201 ... -0.00151311  0.00837181
     0.01782045]
   [ 0.01531...
[ 2018-10-17 17:08:08,696 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,700 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 64 96], value = [[[[-0.0390878   0.01677715  0.03130201 ... -0.00151311  0.00837181
     0.01782045]
   [ 0.01531...
[ 2018-10-17 17:08:08,700 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,700 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,700 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,700 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,700 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,701 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.2204360e+00 1.9891740e+00 1.1658784e+00 5.0624233e-01 3.2071357e+00
 6.6591907e-14 9.6818978e-...
[ 2018-10-17 17:08:08,701 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,702 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,702 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,702 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,703 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [1.2204360e+00 1.9891740e+00 1.1658784e+00 5.0624233e-01 3.2071357e+00
 6.6591907e-14 9.6818978e-...
[ 2018-10-17 17:08:08,703 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,704 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [1.2204360e+00 1.9891740e+00 1.1658784e+00 5.0624233e-01 3.2071357e+00
 6.6591907e-14 9.6818978e-...
[ 2018-10-17 17:08:08,704 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,704 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,704 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,705 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,705 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,706 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-8.3248252e-01 -9.6681392e-01 -4.2529756e-01 -1.8084666e-02
 -7.1732537e-03 -3.7634817e-10 -1.79...
[ 2018-10-17 17:08:08,706 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,706 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,706 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,706 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,707 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [-8.3248252e-01 -9.6681392e-01 -4.2529756e-01 -1.8084666e-02
 -7.1732537e-03 -3.7634817e-10 -1.79...
[ 2018-10-17 17:08:08,707 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,708 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [-8.3248252e-01 -9.6681392e-01 -4.2529756e-01 -1.8084666e-02
 -7.1732537e-03 -3.7634817e-10 -1.79...
[ 2018-10-17 17:08:08,708 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,709 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,709 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,709 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,709 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,710 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 2.3684132   0.36045727 -1.6555169  -0.7282206  -0.39897743 -2.252079
 -0.86530805  0.771836    ...
[ 2018-10-17 17:08:08,710 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,710 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,710 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,710 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,711 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [64], value = [ 2.3684132   0.36045727 -1.6555169  -0.7282206  -0.39897743 -2.252079
 -0.86530805  0.771836    ...
[ 2018-10-17 17:08:08,711 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,713 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [64], value = [ 2.3684132   0.36045727 -1.6555169  -0.7282206  -0.39897743 -2.252079
 -0.86530805  0.771836    ...
[ 2018-10-17 17:08:08,713 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,713 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/weights
[ 2018-10-17 17:08:08,713 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,713 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,713 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,717 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 32 64], value = [[[[ 3.93148372e-03  3.43474522e-02  5.14027588e-02 ... -3.96391898e-01
     3.29083055e-02 -3.11...
[ 2018-10-17 17:08:08,718 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,718 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2b_3x3/weights/read
[ 2018-10-17 17:08:08,718 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,718 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,722 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 32 64], value = [[[[ 3.93148372e-03  3.43474522e-02  5.14027588e-02 ... -3.96391898e-01
     3.29083055e-02 -3.11...
[ 2018-10-17 17:08:08,722 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,726 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 32 64], value = [[[[ 3.93148372e-03  3.43474522e-02  5.14027588e-02 ... -3.96391898e-01
     3.29083055e-02 -3.11...
[ 2018-10-17 17:08:08,726 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,726 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,726 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,726 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,726 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,727 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [2.6882980e+00 8.2606244e-14 3.9277236e+00 4.7018238e-13 4.3943701e-13
 5.6674500e+00 8.2549901e-...
[ 2018-10-17 17:08:08,727 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,727 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,728 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,728 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,728 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [32], value = [2.6882980e+00 8.2606244e-14 3.9277236e+00 4.7018238e-13 4.3943701e-13
 5.6674500e+00 8.2549901e-...
[ 2018-10-17 17:08:08,729 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,729 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [2.6882980e+00 8.2606244e-14 3.9277236e+00 4.7018238e-13 4.3943701e-13
 5.6674500e+00 8.2549901e-...
[ 2018-10-17 17:08:08,729 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,729 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,730 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,730 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,730 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,730 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [ 3.9630607e-01 -3.7993592e-10 -3.8970120e+00  3.6253356e-09
  1.4505778e-09  2.1576060e-01  3.11...
[ 2018-10-17 17:08:08,731 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,731 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,731 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,731 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,732 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [32], value = [ 3.9630607e-01 -3.7993592e-10 -3.8970120e+00  3.6253356e-09
  1.4505778e-09  2.1576060e-01  3.11...
[ 2018-10-17 17:08:08,732 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,732 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [ 3.9630607e-01 -3.7993592e-10 -3.8970120e+00  3.6253356e-09
  1.4505778e-09  2.1576060e-01  3.11...
[ 2018-10-17 17:08:08,732 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,732 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,733 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,733 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,733 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,733 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [-0.38075876 -3.5872521   0.2686261  -3.1788197  -2.6716597   1.3343259
 -2.466193    2.5904872  ...
[ 2018-10-17 17:08:08,734 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,734 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,734 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,734 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,735 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [32], value = [-0.38075876 -3.5872521   0.2686261  -3.1788197  -2.6716597   1.3343259
 -2.466193    2.5904872  ...
[ 2018-10-17 17:08:08,735 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,735 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [-0.38075876 -3.5872521   0.2686261  -3.1788197  -2.6716597   1.3343259
 -2.466193    2.5904872  ...
[ 2018-10-17 17:08:08,736 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,736 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/weights
[ 2018-10-17 17:08:08,736 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,736 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,736 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,740 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 32 32], value = [[[[ 2.00799036e-30  2.50298294e-30  6.77325788e-30 ...  1.46828366e-31
     6.08717618e-30 -5.03...
[ 2018-10-17 17:08:08,740 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,740 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_2a_3x3/weights/read
[ 2018-10-17 17:08:08,740 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,740 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,744 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3 32 32], value = [[[[ 2.00799036e-30  2.50298294e-30  6.77325788e-30 ...  1.46828366e-31
     6.08717618e-30 -5.03...
[ 2018-10-17 17:08:08,744 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,748 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3 32 32], value = [[[[ 2.00799036e-30  2.50298294e-30  6.77325788e-30 ...  1.46828366e-31
     6.08717618e-30 -5.03...
[ 2018-10-17 17:08:08,748 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,748 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_variance
[ 2018-10-17 17:08:08,748 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,748 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,748 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,749 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [8.55087299e-15 2.26314540e-15 1.40211928e+00 2.37766042e-01
 6.57584906e-01 1.00464928e+00 3.386...
[ 2018-10-17 17:08:08,749 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,749 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_variance/read
[ 2018-10-17 17:08:08,750 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,750 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,750 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [32], value = [8.55087299e-15 2.26314540e-15 1.40211928e+00 2.37766042e-01
 6.57584906e-01 1.00464928e+00 3.386...
[ 2018-10-17 17:08:08,752 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,753 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [8.55087299e-15 2.26314540e-15 1.40211928e+00 2.37766042e-01
 6.57584906e-01 1.00464928e+00 3.386...
[ 2018-10-17 17:08:08,753 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,753 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_mean
[ 2018-10-17 17:08:08,753 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,753 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,753 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,754 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [-1.95632243e-11  4.29381444e-12 -4.46318686e-01  1.50849391e-02
  1.69547729e-03  4.45443541e-01...
[ 2018-10-17 17:08:08,754 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,754 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_mean/read
[ 2018-10-17 17:08:08,754 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,754 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,755 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [32], value = [-1.95632243e-11  4.29381444e-12 -4.46318686e-01  1.50849391e-02
  1.69547729e-03  4.45443541e-01...
[ 2018-10-17 17:08:08,755 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,756 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [-1.95632243e-11  4.29381444e-12 -4.46318686e-01  1.50849391e-02
  1.69547729e-03  4.45443541e-01...
[ 2018-10-17 17:08:08,756 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,756 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/BatchNorm/beta
[ 2018-10-17 17:08:08,756 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,756 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,756 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,757 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [-2.9492395  -3.1181448   0.38152084  0.8155477   0.63990116  3.690746
 -2.1584558  -2.9022763   ...
[ 2018-10-17 17:08:08,757 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,757 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/BatchNorm/beta/read
[ 2018-10-17 17:08:08,757 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,757 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,758 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [32], value = [-2.9492395  -3.1181448   0.38152084  0.8155477   0.63990116  3.690746
 -2.1584558  -2.9022763   ...
[ 2018-10-17 17:08:08,758 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,758 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [32], value = [-2.9492395  -3.1181448   0.38152084  0.8155477   0.63990116  3.690746
 -2.1584558  -2.9022763   ...
[ 2018-10-17 17:08:08,759 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,759 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/weights
[ 2018-10-17 17:08:08,759 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,759 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,759 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,768 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3  3 32], value = [[[[-2.18461243e-30  6.36876445e-30 -2.82524198e-01  6.28830433e-01
    -8.69321823e-01  7.855480...
[ 2018-10-17 17:08:08,768 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,768 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4/Conv2d_1a_3x3/weights/read
[ 2018-10-17 17:08:08,768 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:08,768 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,776 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 3  3  3 32], value = [[[[-2.18461243e-30  6.36876445e-30 -2.82524198e-01  6.28830433e-01
    -8.69321823e-01  7.855480...
[ 2018-10-17 17:08:08,777 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,785 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 3  3  3 32], value = [[[[-2.18461243e-30  6.36876445e-30 -2.82524198e-01  6.28830433e-01
    -8.69321823e-01  7.855480...
[ 2018-10-17 17:08:08,785 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,785 ] [ DEBUG ] [ infer:124 ]  Partial infer for strided_slice/stack_2
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [1]
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:124 ]  Partial infer for strided_slice/stack_1
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,786 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [48]
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:124 ]  Partial infer for strided_slice/stack
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:125 ]  Op: Const
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,787 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [0]
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:124 ]  Partial infer for Placeholder_X
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:125 ]  Op: Placeholder
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 299 299   3], value = <UNKNOWN>
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:124 ]  Partial infer for strided_slice
[ 2018-10-17 17:08:08,788 ] [ DEBUG ] [ infer:125 ]  Op: StridedSlice
[ 2018-10-17 17:08:08,789 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,789 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 299 299   3], value = <UNKNOWN>
[ 2018-10-17 17:08:08,789 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [1], value = [0]
[ 2018-10-17 17:08:08,789 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [1], value = [48]
[ 2018-10-17 17:08:08,790 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [1], value = [1]
[ 2018-10-17 17:08:08,790 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,790 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 299 299   3], value = <UNKNOWN>
[ 2018-10-17 17:08:08,790 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,790 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:08,790 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,791 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,791 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 299 299   3], value = <UNKNOWN>
[ 2018-10-17 17:08:08,799 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3  3 32], value = [[[[-2.18461243e-30  6.36876445e-30 -2.82524198e-01  6.28830433e-01
    -8.69321823e-01  7.855480...
[ 2018-10-17 17:08:08,800 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,800 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 149 149  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,800 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,800 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,800 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,800 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,801 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [32], value = [-2.9492395  -3.1181448   0.38152084  0.8155477   0.63990116  3.690746
 -2.1584558  -2.9022763   ...
[ 2018-10-17 17:08:08,802 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [32], value = [-1.95632243e-11  4.29381444e-12 -4.46318686e-01  1.50849391e-02
  1.69547729e-03  4.45443541e-01...
[ 2018-10-17 17:08:08,802 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [32], value = [8.55087299e-15 2.26314540e-15 1.40211928e+00 2.37766042e-01
 6.57584906e-01 1.00464928e+00 3.386...
[ 2018-10-17 17:08:08,802 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 149 149  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,803 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1.]
[ 2018-10-17 17:08:08,803 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,803 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 149 149  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,803 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,803 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:08,803 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,804 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,804 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 149 149  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,804 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,804 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 149 149  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,804 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,804 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Conv2D
[ 2018-10-17 17:08:08,804 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,805 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,809 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 32 32], value = [[[[ 2.00799036e-30  2.50298294e-30  6.77325788e-30 ...  1.46828366e-31
     6.08717618e-30 -5.03...
[ 2018-10-17 17:08:08,809 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 149 149  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,809 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,809 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 147 147  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,810 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,810 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,810 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,810 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,810 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [32], value = [-0.38075876 -3.5872521   0.2686261  -3.1788197  -2.6716597   1.3343259
 -2.466193    2.5904872  ...
[ 2018-10-17 17:08:08,811 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [32], value = [ 3.9630607e-01 -3.7993592e-10 -3.8970120e+00  3.6253356e-09
  1.4505778e-09  2.1576060e-01  3.11...
[ 2018-10-17 17:08:08,812 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [32], value = [2.6882980e+00 8.2606244e-14 3.9277236e+00 4.7018238e-13 4.3943701e-13
 5.6674500e+00 8.2549901e-...
[ 2018-10-17 17:08:08,812 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 147 147  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,812 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1.]
[ 2018-10-17 17:08:08,812 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 147 147  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Relu
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 147 147  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,813 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 147 147  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,814 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,814 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Conv2D
[ 2018-10-17 17:08:08,814 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,814 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,818 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 32 64], value = [[[[ 3.93148372e-03  3.43474522e-02  5.14027588e-02 ... -3.96391898e-01
     3.29083055e-02 -3.11...
[ 2018-10-17 17:08:08,818 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 147 147  32], value = <UNKNOWN>
[ 2018-10-17 17:08:08,818 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,818 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 147 147  64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,819 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,819 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,819 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,819 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,820 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [ 2.3684132   0.36045727 -1.6555169  -0.7282206  -0.39897743 -2.252079
 -0.86530805  0.771836    ...
[ 2018-10-17 17:08:08,821 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-8.3248252e-01 -9.6681392e-01 -4.2529756e-01 -1.8084666e-02
 -7.1732537e-03 -3.7634817e-10 -1.79...
[ 2018-10-17 17:08:08,821 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [1.2204360e+00 1.9891740e+00 1.1658784e+00 5.0624233e-01 3.2071357e+00
 6.6591907e-14 9.6818978e-...
[ 2018-10-17 17:08:08,822 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 147 147  64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,822 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,823 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,823 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 147 147  64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,823 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,823 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Relu
[ 2018-10-17 17:08:08,823 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,823 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,824 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 147 147  64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,824 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,824 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1 147 147  64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,824 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,824 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D
[ 2018-10-17 17:08:08,824 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,825 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,828 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[-0.0390878   0.01677715  0.03130201 ... -0.00151311  0.00837181
     0.01782045]
   [ 0.01531...
[ 2018-10-17 17:08:08,829 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 147 147  64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,829 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,829 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,829 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,829 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,829 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,829 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,831 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [ 0.2356589  -0.02200777  0.21037172  0.03402857 -0.03370059  0.0058843
 -0.03954069  0.14068419 ...
[ 2018-10-17 17:08:08,832 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 8.9183974e-01 -1.4684252e-02 -6.3455451e-01  2.0912313e+00
 -1.0282679e+00  2.0310576e+00 -2.43...
[ 2018-10-17 17:08:08,833 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [2.577245   2.9017217  4.279119   2.6262789  2.182457   2.1891224
 2.7995627  4.471802   3.037260...
[ 2018-10-17 17:08:08,833 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,834 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,835 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,835 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,835 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,835 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Relu
[ 2018-10-17 17:08:08,835 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,835 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,836 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,836 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,836 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,836 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,836 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_3a/Branch_0/MaxPool_0a_3x3/MaxPool
[ 2018-10-17 17:08:08,836 ] [ DEBUG ] [ infer:125 ]  Op: MaxPool
[ 2018-10-17 17:08:08,836 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,837 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1 147 147  64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,837 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,837 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,837 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,837 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_3a/concat
[ 2018-10-17 17:08:08,837 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:08,837 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,838 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,838 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 1 73 73 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,838 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,838 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  73  73 160], value = <UNKNOWN>
[ 2018-10-17 17:08:08,838 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,838 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:08,838 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,839 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,840 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 160  64], value = [[[[-3.7890539e-02  5.3839497e-02 -4.4275086e-02 ... -6.0040719e-30
     8.6566605e-02  9.2232130...
[ 2018-10-17 17:08:08,840 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  73  73 160], value = <UNKNOWN>
[ 2018-10-17 17:08:08,840 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,840 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,840 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,840 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,840 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,841 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,841 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-0.14087906 -0.3249946  -0.5197204  -1.9661967  -0.19258387 -0.59386194
 -1.8443042  -0.46402624...
[ 2018-10-17 17:08:08,842 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-9.4465464e-01 -1.7975423e+00 -2.9839211e+00 -2.8075103e-10
 -1.6084106e+00 -2.6474907e+00 -4.95...
[ 2018-10-17 17:08:08,843 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [1.2060472e+00 1.3084146e+00 8.3453912e-01 8.1708229e-15 1.1607956e+00
 1.0242374e+00 2.8920476e-...
[ 2018-10-17 17:08:08,843 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,844 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,844 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,844 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,844 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,845 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:08,845 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,845 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,845 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,845 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,845 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,845 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,846 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:08,846 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,846 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,849 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 1  7 64 64], value = [[[[-2.96094231e-02  2.61964779e-02 -2.28182599e-03 ... -3.11616932e-30
    -4.18953151e-02  8.87...
[ 2018-10-17 17:08:08,849 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,849 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,849 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,849 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,849 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,849 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,850 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,851 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-0.03069998  0.6414185  -0.3188793  -0.8771362  -0.45524246  0.89681226
 -0.9016986   0.04344049...
[ 2018-10-17 17:08:08,851 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-8.40791881e-01 -1.07560992e+00 -9.33814347e-01 -7.31530666e-01
 -1.10636985e+00 -7.95669615e-01...
[ 2018-10-17 17:08:08,852 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [1.6571695e+00 1.3090222e+00 1.1576233e+00 5.5553943e-01 4.6711281e-01
 2.4223428e+00 4.4409424e-...
[ 2018-10-17 17:08:08,852 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,853 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,853 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,853 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,854 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,854 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:08,854 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,854 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,854 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,854 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,854 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,855 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,855 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:08,855 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,855 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,858 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 7  1 64 64], value = [[[[-9.5568206e-03  3.9661296e-02 -8.3766459e-03 ... -3.1427395e-02
    -7.7088714e-02  1.0232638...
[ 2018-10-17 17:08:08,858 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,858 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,859 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,859 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,859 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,859 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,859 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,860 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-0.1142961   0.2876419   0.45412287 -0.14535733 -0.70032835 -0.37285328
 -0.5372889  -0.50581944...
[ 2018-10-17 17:08:08,861 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-5.5714720e-01 -2.7856667e+00 -2.0080912e+00 -3.0409808e+00
  8.1952488e-01 -2.0519669e+00  2.55...
[ 2018-10-17 17:08:08,862 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [1.3716825e+00 3.5474842e+00 5.7492676e+00 2.4637461e+00 8.1277788e-01
 1.4795500e+00 1.0466847e+...
[ 2018-10-17 17:08:08,862 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,863 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,863 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,863 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,863 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,863 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:08,863 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,864 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,864 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,864 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,864 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,864 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,864 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:08,864 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,865 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,869 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[ 1.49138784e-02  2.75469124e-02 -2.04582904e-02 ...  1.90981794e-02
     1.50698982e-02 -3.04...
[ 2018-10-17 17:08:08,869 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,869 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,869 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,869 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,870 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,870 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,870 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,871 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.582003   -0.38377994  1.0535879  -0.14143859 -0.2497971   0.8630785
  1.421352   -0.4617118  ...
[ 2018-10-17 17:08:08,872 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.8832702  -0.2562185  -0.25810122 -0.08612569  0.4858364   0.57002914
 -1.1595672  -1.0447329 ...
[ 2018-10-17 17:08:08,874 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [1.2514561  1.7643623  1.9205613  1.5071427  2.6693532  1.7305756
 1.1079463  1.3373923  1.123197...
[ 2018-10-17 17:08:08,874 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,875 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,875 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,875 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,875 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,876 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:08,876 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,876 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,876 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,876 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,876 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,876 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,877 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:08,877 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,877 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,878 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 160  64], value = [[[[ 0.4406951   0.291433   -0.0523239  ...  0.00572513  0.02800594
    -0.09324916]
   [-0.14902...
[ 2018-10-17 17:08:08,878 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  73  73 160], value = <UNKNOWN>
[ 2018-10-17 17:08:08,878 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,878 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,878 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,879 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,879 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,879 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,880 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [ 0.50087166  0.09275931 -0.8956261  -0.19984064  0.00299497 -0.07617711
  0.70111424 -0.23360924...
[ 2018-10-17 17:08:08,881 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [ 5.8247083e-01  9.9593413e-01  6.9844919e-01  3.2342884e-01
 -5.6027949e-01 -3.2321048e+00  9.42...
[ 2018-10-17 17:08:08,881 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [1.3998922e+00 1.3557999e+00 5.3972888e-01 8.8323337e-01 1.3437166e+00
 1.4419191e+00 8.7128609e-...
[ 2018-10-17 17:08:08,882 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,882 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,882 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,883 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,883 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,883 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:08,883 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,883 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,883 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,883 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,884 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,884 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,884 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:08,884 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,884 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,888 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[ 9.81072616e-03  1.02077434e-02  2.39873752e-02 ...  3.26463673e-03
     2.92229955e-03  3.75...
[ 2018-10-17 17:08:08,888 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 73 73 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,888 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,888 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,889 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,889 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,889 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,889 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,890 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [ 0.03876312 -0.09877153 -1.1912216  -0.6431531  -0.63334185 -0.26766294
 -0.73037195 -0.2938849 ...
[ 2018-10-17 17:08:08,891 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.18623418  0.31889036 -0.8712035  -1.3376154  -0.8896569   2.2346172
 -1.6639665  -0.24627687 ...
[ 2018-10-17 17:08:08,892 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [4.24457    4.6186028  0.6311832  1.7840383  1.3168339  3.273008
 1.3563839  1.1060789  2.2650197...
[ 2018-10-17 17:08:08,892 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,894 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,894 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,894 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,894 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,894 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:08,894 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,895 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,895 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,895 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,895 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,895 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,895 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_4a/concat
[ 2018-10-17 17:08:08,895 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:08,896 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,896 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,896 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 1 71 71 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,896 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,896 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  71  71 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,896 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,897 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5a/Branch_1/MaxPool_1a_3x3/MaxPool
[ 2018-10-17 17:08:08,897 ] [ DEBUG ] [ infer:125 ]  Op: MaxPool
[ 2018-10-17 17:08:08,897 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,897 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  71  71 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,897 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,897 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,897 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,898 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:08,898 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,898 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,902 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   3 192 192], value = [[[[-7.98591692e-03 -8.93157050e-02 -2.32669022e-02 ...  2.07524956e-03
     1.63134262e-02 -3.44...
[ 2018-10-17 17:08:08,902 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  71  71 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,902 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,903 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,903 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,903 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,903 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,903 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,905 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.4207688  -0.17931266 -0.18875776 -0.27420688 -0.7045004  -0.16770175
 -0.29936868 -0.6380015 ...
[ 2018-10-17 17:08:08,907 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [  1.6963758   -1.5382496    1.2077291    0.57000786  -2.9478276
  -2.2447135   -1.5247219    2.0...
[ 2018-10-17 17:08:08,909 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [1.2157586  1.8887165  1.8772006  1.6355499  0.9663425  1.6023705
 1.3408221  1.1308659  0.736332...
[ 2018-10-17 17:08:08,909 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,911 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,911 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,911 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,912 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,912 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:08,912 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,912 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,912 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,912 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,912 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,913 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,913 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5a/concat
[ 2018-10-17 17:08:08,913 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:08,913 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,913 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,914 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:08,914 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,914 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,914 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,914 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:08,914 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:08,915 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,915 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,915 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,915 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,915 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,915 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:08,915 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,916 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,916 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[-0.00662147 -0.06943642  0.01788515 ... -0.00487741  0.02116161
     0.0117077 ]
   [ 0.00057...
[ 2018-10-17 17:08:08,917 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,917 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,917 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,917 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,917 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,917 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,917 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,919 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.78624296 -0.22543992 -1.5095009  -0.8839682  -0.7455455  -0.6840279
 -0.9665877  -0.81768996 ...
[ 2018-10-17 17:08:08,920 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 2.72824836e+00  7.31376469e-01 -6.93996251e-01 -4.91210595e-02
 -5.30114293e-01 -7.80787468e-01...
[ 2018-10-17 17:08:08,921 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.15840034 0.5504912  0.20442662 0.28629842 0.458667   0.22442423
 0.26246572 0.27418888 0.18908...
[ 2018-10-17 17:08:08,921 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,922 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,922 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,923 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,923 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,923 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:08,923 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,923 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,923 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,923 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,924 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,924 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,924 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:08,924 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,924 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,925 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[-0.05199982 -0.00085611  0.00489652 ... -0.02741268  0.01597182
    -0.0321612 ]
   [-0.06725...
[ 2018-10-17 17:08:08,925 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,925 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,925 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,926 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,926 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,926 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,926 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,927 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [ 2.0856139e-01  9.7811799e-03 -1.9715285e-01 -6.0278589e-01
  3.7598664e-01 -5.1300917e-02  4.39...
[ 2018-10-17 17:08:08,928 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-1.3757157  -0.04709681 -1.0250845   0.7305794  -0.10343996  3.016716
 -2.2849376   3.6163955  -...
[ 2018-10-17 17:08:08,928 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [1.6452323  1.3192345  1.3539612  0.57462114 1.5102613  1.1730864
 2.456178   3.3678286  0.768016...
[ 2018-10-17 17:08:08,929 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,929 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,930 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,930 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,930 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,930 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:08,930 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,931 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,931 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,931 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,931 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,931 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,931 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:08,931 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,932 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,936 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[-3.80444229e-02 -1.10981995e-02 -1.14857079e-03 ... -5.17832078e-02
     4.34773713e-02  7.52...
[ 2018-10-17 17:08:08,936 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,936 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,937 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,937 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,937 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,937 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,937 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,938 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [ 0.06756487 -0.02289394 -0.7216043  -0.43155694 -0.6308205  -0.24577181
 -0.6800768  -0.4924377 ...
[ 2018-10-17 17:08:08,939 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.74775267 -0.14865315 -0.377458   -0.3102422  -0.46975493 -0.59860396
 -0.541132   -0.6043984 ...
[ 2018-10-17 17:08:08,941 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [1.0625997  0.9154162  0.835279   1.2297642  0.66277343 1.5263284
 0.7841831  1.1930102  1.009626...
[ 2018-10-17 17:08:08,941 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,942 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,942 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,942 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,942 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,943 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:08,943 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,943 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,943 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,943 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,943 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,943 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,944 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:08,944 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,944 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,948 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 96 96], value = [[[[ 9.27254856e-02 -3.64370667e-03  2.13751607e-02 ... -1.91560537e-02
    -5.00724930e-03  2.15...
[ 2018-10-17 17:08:08,948 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,948 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,948 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,949 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,949 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,949 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,949 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,950 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [ 2.238775   -0.4636217  -0.5318979  -0.06796356 -0.45894518 -0.40017962
 -0.3009413  -0.40603632...
[ 2018-10-17 17:08:08,952 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 0.3345195  -0.21619348 -0.7265166  -0.3813854  -0.34658954 -0.2082804
 -0.20254001 -0.23169181 ...
[ 2018-10-17 17:08:08,953 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [1.4004177  0.47649524 0.5777852  0.6952787  0.37514725 0.6735198
 0.8220029  0.41278586 0.559907...
[ 2018-10-17 17:08:08,953 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,954 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,954 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,954 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,954 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,954 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:08,955 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,955 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,955 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,955 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,955 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,955 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,956 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:08,956 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,956 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,957 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[ 0.01742802 -0.00666482  0.00475444 ... -0.00867669  0.02741515
    -0.03037171]
   [ 0.01669...
[ 2018-10-17 17:08:08,957 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,957 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,957 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,957 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,958 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,958 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,958 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,959 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [ 0.44067618 -0.30185205 -0.5711381  -0.00773187 -0.3368959  -0.44117853
  0.4495793   0.4203132 ...
[ 2018-10-17 17:08:08,959 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-0.738143    0.590696   -0.04387323 -0.39730036  0.36834395 -0.69210315
 -0.4513901  -0.9488442 ...
[ 2018-10-17 17:08:08,960 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [2.2400618  0.8626182  0.74528503 0.6660026  0.6770034  0.64697766
 0.93273956 2.1183858  2.04117...
[ 2018-10-17 17:08:08,960 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,961 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,961 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,961 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,962 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,962 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:08,962 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,962 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,962 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,962 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,962 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,963 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,963 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:08,963 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,963 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,967 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[ 3.18484381e-02  3.24018002e-02 -3.06813084e-02 ...  2.53462456e-02
     2.35756319e-02 -9.15...
[ 2018-10-17 17:08:08,967 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,967 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,967 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,968 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,968 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,968 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,968 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,969 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.6110974  -0.11219188 -0.46179706 -0.08526525 -0.40728647 -1.0401384
  0.42584845  0.15058683 ...
[ 2018-10-17 17:08:08,970 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.6235018  -0.29635298 -0.8697986  -0.23938277 -0.49844405 -0.98649794
 -1.1423411  -0.86887115...
[ 2018-10-17 17:08:08,971 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [1.2536626  2.0795991  1.1475     1.5266687  0.66926336 0.4303571
 2.4543948  0.9822183  1.700615...
[ 2018-10-17 17:08:08,971 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,972 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,972 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,973 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,974 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,974 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:08,974 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,974 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,975 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[ 0.00555559 -0.01474024 -0.01286502 ...  0.04392688  0.06713531
    -0.09808106]
   [ 0.15913...
[ 2018-10-17 17:08:08,975 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,975 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,975 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,975 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,975 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,976 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,976 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,977 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.12437105 -0.31976703 -0.138841    0.3847948   0.11147065  0.79308593
  0.07920215 -0.44520217...
[ 2018-10-17 17:08:08,978 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-1.2714266  -0.59736     1.505872    2.7756348  -3.2226508  -0.45257953
 -0.6736186  -1.8618573 ...
[ 2018-10-17 17:08:08,979 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [ 3.317942    0.69645643  1.1195341   2.9485166   1.1022736   1.0148042
  1.0698539   0.7078995  ...
[ 2018-10-17 17:08:08,979 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,980 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,981 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,981 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,981 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,981 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:08,981 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,981 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,981 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,982 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,982 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,982 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,982 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5b/concat
[ 2018-10-17 17:08:08,982 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:08,983 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,983 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,983 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,983 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,983 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,983 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,984 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,984 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,984 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:08,984 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:08,984 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,984 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,984 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,985 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,985 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,985 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:08,985 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,985 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,986 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[ 0.06179877 -0.10934906 -0.09363806 ... -0.13762473  0.03048905
    -0.18615286]
   [-0.03334...
[ 2018-10-17 17:08:08,986 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,986 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,986 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,987 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,987 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,987 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,987 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,988 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.7692333  -0.5133769  -0.3266861  -0.43371254 -0.5283531  -0.64839685
 -0.5383842  -1.1589656 ...
[ 2018-10-17 17:08:08,989 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 0.6762261   0.02593147 -0.19738646  1.3305037  -0.05057981  0.0337436
 -1.1091086  -0.2673179  ...
[ 2018-10-17 17:08:08,990 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.16097614 0.20051591 0.34814227 0.17356393 0.16831376 0.26238498
 0.11690933 0.08893158 0.15928...
[ 2018-10-17 17:08:08,991 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,992 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,992 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,992 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,992 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,992 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:08,992 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:08,992 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,993 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,993 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,993 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:08,993 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,993 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:08,993 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:08,994 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,994 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[-0.03509423 -0.07481578 -0.00901889 ... -0.03051326 -0.0488905
     0.0727115 ]
   [-0.059306...
[ 2018-10-17 17:08:08,995 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:08,995 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,995 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,995 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,995 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:08,995 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:08,995 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:08,996 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-0.6167737   0.5404839   0.32210478 -0.22618367 -0.5376655   0.3041352
  0.11086848 -0.02193919 ...
[ 2018-10-17 17:08:08,997 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-0.18107943  0.03227634 -0.7725015  -0.48320732  0.01500765 -0.55984765
 -0.913075   -0.15609509...
[ 2018-10-17 17:08:08,998 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [0.23313223 1.2221967  0.8655737  0.51058596 0.2736793  0.7266138
 0.5508381  0.5571541  0.648448...
[ 2018-10-17 17:08:08,998 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,999 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:08,999 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:08,999 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:08,999 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:08,999 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,000 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,000 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,000 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,000 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,000 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,000 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,000 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:09,001 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,001 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,005 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[-9.04034264e-03 -3.07899155e-02 -2.52029672e-03 ...  9.24110413e-03
     6.58363700e-02 -4.38...
[ 2018-10-17 17:08:09,005 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,005 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,005 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,005 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,005 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,005 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,006 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,007 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.79405296 -0.93437374 -0.71763134  0.17533484 -0.34844032  0.23181461
 -0.79556096  0.27426884...
[ 2018-10-17 17:08:09,008 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.53614414 -1.1081015  -0.45661303 -0.42138454 -1.1974326  -0.26486263
 -0.26305896 -0.5506592 ...
[ 2018-10-17 17:08:09,009 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.644464   0.64066494 0.5050727  0.751506   1.0569104  1.6615076
 0.6050346  1.3702453  0.339573...
[ 2018-10-17 17:08:09,010 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,011 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,011 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,011 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,011 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,012 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:09,012 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,012 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,012 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,012 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,012 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,013 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,013 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:09,013 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,013 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,017 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 96 96], value = [[[[ 0.03296205  0.01924147  0.0254582  ... -0.01798866 -0.00208126
     0.00821365]
   [ 0.02367...
[ 2018-10-17 17:08:09,017 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,017 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,017 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,017 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,018 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,018 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,018 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,019 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.6993439  -0.49539405 -0.51320034 -0.408331   -0.3318981  -0.96957785
 -0.67230684 -0.3161226 ...
[ 2018-10-17 17:08:09,020 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.24524824  0.13568568 -0.2850714  -0.4161457  -0.37322134  0.06265596
 -0.28166285 -0.12620461...
[ 2018-10-17 17:08:09,021 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.32860684 0.61347246 0.35556045 0.34002417 0.29058453 0.1935073
 0.33333632 0.48074624 0.398282...
[ 2018-10-17 17:08:09,021 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,022 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,022 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,022 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,023 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,024 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,024 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,024 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,025 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[-0.0435547   0.00878171  0.01010045 ... -0.01984509  0.04691645
    -0.01920909]
   [-0.06662...
[ 2018-10-17 17:08:09,025 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,025 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,025 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,025 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,025 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,025 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,026 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,026 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-0.5291292  -0.643531    0.08968202 -0.31059277 -1.5480309   0.09502382
 -0.3539853  -0.2933525 ...
[ 2018-10-17 17:08:09,027 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-0.5708547  -0.7824553  -0.2746966  -0.43642983 -0.6163871  -0.65088737
  0.06134596  0.6195327 ...
[ 2018-10-17 17:08:09,028 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [0.41814524 0.38908213 0.8030382  0.58558327 0.20129454 0.8641793
 1.2567782  0.623096   0.670439...
[ 2018-10-17 17:08:09,028 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,029 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,029 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,029 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,030 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,030 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,030 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,030 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,030 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,030 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,030 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,031 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,031 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:09,031 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,031 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,035 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[ 2.05451506e-04 -8.44363775e-03 -1.34615256e-02 ...  7.58273806e-03
    -2.42352635e-02  5.55...
[ 2018-10-17 17:08:09,035 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,035 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,036 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,036 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,036 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,036 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,036 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,037 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-1.1461401  -1.2402899  -0.26299623 -0.7648438  -0.97693294 -0.63144314
 -0.562176   -1.0274663 ...
[ 2018-10-17 17:08:09,038 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.26670614 -0.23589408 -0.78086185 -0.4736979  -0.6349392  -0.25305036
 -0.7349737  -0.21130429...
[ 2018-10-17 17:08:09,039 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.1054614  0.12562765 0.26452228 0.19137694 0.13919184 0.1413232
 0.22599794 0.09937502 0.230743...
[ 2018-10-17 17:08:09,040 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,041 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,041 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,041 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,041 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,041 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:09,041 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,041 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,042 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,042 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,042 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,042 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,042 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,042 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,043 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,043 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[ 0.03751764 -0.04804767 -0.05372642 ...  0.00815662  0.0473995
     0.02825137]
   [ 0.111930...
[ 2018-10-17 17:08:09,044 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,044 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,044 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,044 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,044 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,044 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,044 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,045 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-2.88441088e-02  1.26355648e-01  1.15652049e+00 -5.11456072e-01
  7.51786947e-01  3.99514675e-01...
[ 2018-10-17 17:08:09,047 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 0.21033125 -0.11824264 -1.1787364  -0.05145423  0.75052184 -1.0533671
  0.9425897   1.4581188  ...
[ 2018-10-17 17:08:09,048 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.5838503  0.8638357  0.861818   0.6480548  0.90750325 0.7871055
 1.1418918  0.8403891  1.420220...
[ 2018-10-17 17:08:09,048 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,049 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,049 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,049 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,049 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,049 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,049 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,049 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,050 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,050 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,050 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,050 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,050 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5c/concat
[ 2018-10-17 17:08:09,050 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,051 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,051 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,051 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,051 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,051 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,051 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,051 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,052 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,052 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,052 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,052 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,052 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,052 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,052 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,053 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,053 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,053 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,053 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,054 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[-0.05284194 -0.00091625 -0.17715909 ... -0.0250096   0.13015227
    -0.02583087]
   [-0.00837...
[ 2018-10-17 17:08:09,054 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,054 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,054 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,055 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,055 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,055 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,055 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,056 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-8.4640294e-01  1.9226414e-01 -3.7711218e-01 -8.1168127e-01
 -6.6378182e-01 -3.2862145e-01 -5.20...
[ 2018-10-17 17:08:09,057 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.69613725  0.30353117 -0.02037581 -0.43590462  0.29653227  0.48244396
  0.18374147 -0.25691184...
[ 2018-10-17 17:08:09,059 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.1316547  0.31167132 0.23087904 0.12987012 0.19518316 0.34748763
 0.11392599 0.12339956 0.12993...
[ 2018-10-17 17:08:09,059 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,060 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,060 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,060 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,060 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,060 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:09,060 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,061 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,061 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,061 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,061 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,061 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,061 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,061 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,062 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[ 0.00994084 -0.00857073 -0.05388539 ... -0.08188815 -0.00388918
     0.00358891]
   [ 0.01536...
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,063 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,064 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-0.69298303 -0.8922035  -0.734021   -3.3764489  -0.85141075  0.01604089
 -0.7056046   0.16486356...
[ 2018-10-17 17:08:09,065 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [ 0.20426114 -0.41412184  0.11418397  1.1075366  -0.21309482 -0.12001644
 -0.04103825  1.7475803 ...
[ 2018-10-17 17:08:09,066 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [0.31023246 0.19721678 0.25631484 0.33119634 0.33181474 1.0173404
 0.22520296 0.76483744 0.39232 ...
[ 2018-10-17 17:08:09,066 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,067 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,067 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,067 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,068 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:09,069 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,069 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,073 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[ 6.16874499e-03  1.65617815e-03 -1.86451022e-02 ... -2.10212525e-02
    -3.20760310e-02  1.63...
[ 2018-10-17 17:08:09,073 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,073 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,073 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,073 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,074 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,074 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,074 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,075 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-1.3125399  -1.2959067  -0.9011224  -0.7777801  -0.81864816 -0.77163404
 -0.69051635 -1.1853181 ...
[ 2018-10-17 17:08:09,076 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-1.7944016e-01 -2.6730791e-01 -1.4708467e-01 -9.2286713e-02
 -6.7905277e-01 -3.8319397e-01  2.32...
[ 2018-10-17 17:08:09,078 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [1.5906923e-01 1.8218409e-01 2.5446281e-01 2.5318280e-01 2.5130805e-01
 2.9935941e-01 7.4583918e-...
[ 2018-10-17 17:08:09,078 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,079 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,079 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,079 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,079 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,079 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:09,079 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,080 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,080 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,080 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,080 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,080 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,080 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:09,080 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,081 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,084 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 96 96], value = [[[[ 9.58710257e-03  3.17857438e-03 -1.57055538e-03 ...  2.93189916e-03
     2.66085267e-02  8.37...
[ 2018-10-17 17:08:09,084 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,085 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,085 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,085 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,085 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,085 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,085 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,086 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.24779333 -1.8734411  -0.8725473  -0.72378176 -0.56097263 -0.39095247
 -0.7713354  -1.0407336 ...
[ 2018-10-17 17:08:09,088 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 0.31459758  0.04495644 -0.33362556  0.08181032 -0.50794184  0.06375388
 -0.72228307  1.0185901 ...
[ 2018-10-17 17:08:09,089 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.28632608 0.16928382 0.26078656 0.2621003  0.3977712  0.6888214
 0.20796256 0.206316   0.639174...
[ 2018-10-17 17:08:09,089 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,090 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,090 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,091 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,091 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,091 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:09,091 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,091 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,091 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,092 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,092 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,092 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,092 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,092 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,093 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,094 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[ 0.07297519  0.05786341 -0.01149403 ...  0.01362949 -0.01860267
     0.01797176]
   [ 0.01172...
[ 2018-10-17 17:08:09,094 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,094 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,094 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,094 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,094 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,094 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,095 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,096 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-0.61891043 -0.45696598 -0.48479775 -0.90715873 -1.0824573  -0.76636374
 -0.5982499  -0.24866684...
[ 2018-10-17 17:08:09,096 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [ 0.14436652 -0.2917158  -0.52817494 -0.40795776  0.47278643  0.0581812
  0.01161344 -0.4310304  ...
[ 2018-10-17 17:08:09,097 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [0.3974223  0.57503825 0.6608019  0.39069143 0.20671543 0.26772052
 0.5562969  0.79898506 0.40825...
[ 2018-10-17 17:08:09,097 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,098 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,098 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,098 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,099 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,099 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,099 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,099 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,099 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,099 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,099 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,100 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,100 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:09,100 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,100 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,104 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[-2.32821051e-02 -6.51620096e-03  1.16436956e-02 ... -2.64663808e-02
     1.00934021e-02 -1.42...
[ 2018-10-17 17:08:09,104 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,104 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,104 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,105 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,105 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,105 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,105 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,106 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-1.1511861  -0.8698117  -0.91454476 -0.6173765  -1.8229364  -1.3763386
 -0.98483574 -0.6901863  ...
[ 2018-10-17 17:08:09,107 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.19273886 -0.10452286  0.08217189  0.04391234 -0.32607117 -0.22520505
  0.17789236 -0.28350422...
[ 2018-10-17 17:08:09,108 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.09958249 0.10393815 0.12842143 0.12324525 0.09783774 0.06028556
 0.12276162 0.13412477 0.13218...
[ 2018-10-17 17:08:09,108 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,110 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,110 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,110 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,110 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,110 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:09,110 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,110 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,111 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,111 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,111 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,111 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,111 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,111 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,112 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,112 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[ 0.11961181 -0.08568108 -0.09615966 ... -0.0212266   0.00558652
    -0.05943183]
   [ 0.13681...
[ 2018-10-17 17:08:09,113 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,113 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,113 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,113 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,113 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,113 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,113 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,114 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [ 0.14443931  0.5135066   0.14571416  0.34068066  1.7503756   0.41361734
  0.5626589  -0.24124093...
[ 2018-10-17 17:08:09,115 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 0.3024669   2.1370165  -0.3845666   0.35270312  1.2671059   2.0926712
  0.23760971  0.28210378 ...
[ 2018-10-17 17:08:09,116 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [1.2242885  2.0628207  1.4118068  1.0575347  1.331285   2.7867427
 1.7870785  0.70294404 0.900916...
[ 2018-10-17 17:08:09,117 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,118 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,118 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,118 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,118 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,118 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5d/concat
[ 2018-10-17 17:08:09,119 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,120 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,120 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,120 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,120 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,121 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,121 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,121 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,121 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,121 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,121 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,121 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,122 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,122 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,122 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,122 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,122 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,122 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,123 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,123 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[-0.04417241 -0.01030706  0.0381327  ... -0.03109932 -0.10333559
     0.03294974]
   [-0.11800...
[ 2018-10-17 17:08:09,123 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,124 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,124 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,124 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,124 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,124 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,124 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,125 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-2.2047968e-01 -5.5838126e-01 -2.9341975e-01  1.1307344e-01
 -4.0123305e-01 -8.3031666e-01 -3.90...
[ 2018-10-17 17:08:09,126 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 1.3574711   0.27758297  0.58201385  0.07829336  0.3899469   0.5589131
 -0.15014005 -1.0978769  ...
[ 2018-10-17 17:08:09,127 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.32014215 0.20930511 0.4332419  0.673403   0.33880475 0.17728618
 0.21831252 0.20471208 0.24378...
[ 2018-10-17 17:08:09,128 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,129 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,129 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,129 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,129 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,129 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:09,129 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,129 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,130 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,130 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,130 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,130 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,130 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,130 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,131 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,131 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[ 0.01182153 -0.02592092 -0.02315427 ...  0.00498641 -0.05087205
     0.09126671]
   [-0.00907...
[ 2018-10-17 17:08:09,131 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,131 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,132 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,132 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,132 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,132 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,132 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,133 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-8.08228433e-01 -5.66593707e-01 -3.67793664e-02  6.47166491e-01
 -1.31448352e+00 -1.82502782e+00...
[ 2018-10-17 17:08:09,134 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [ 2.82498181e-01 -6.14298701e-01 -2.54184693e-01 -2.43604565e+00
 -1.37987435e-01 -3.15256007e-02...
[ 2018-10-17 17:08:09,135 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [3.1467962e-01 3.6714935e-01 1.1174028e+00 1.0896274e+00 9.7172424e-02
 8.7272123e-02 1.2905486e+...
[ 2018-10-17 17:08:09,135 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,136 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,136 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,136 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,136 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,136 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,136 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,136 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,137 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,137 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,137 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,137 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,137 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:09,137 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,138 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,141 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[-9.91002657e-03  8.49605910e-03  1.41813383e-02 ... -4.88943830e-02
     4.80153225e-02  1.49...
[ 2018-10-17 17:08:09,142 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,142 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,142 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,142 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,142 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,142 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,142 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,143 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-0.53600204 -0.5362967  -0.33360273 -1.2402275  -0.5474663  -0.3101402
 -1.0762938  -0.78521246 ...
[ 2018-10-17 17:08:09,145 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.85716265 -0.81294745 -0.23125404 -0.62470776 -0.7641539  -0.9476474
 -1.0869406  -0.6402482  ...
[ 2018-10-17 17:08:09,146 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.6216303  0.8296454  0.81726784 1.1160861  1.2999666  1.0348874
 0.31105658 1.0436388  1.458006...
[ 2018-10-17 17:08:09,146 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,147 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,147 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,147 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,147 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,147 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:09,148 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,148 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,148 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,148 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,148 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,148 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,149 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:09,149 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,149 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,153 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 96 96], value = [[[[-0.02119419 -0.02425681  0.00665618 ... -0.08750667 -0.01677695
    -0.02258169]
   [-0.01257...
[ 2018-10-17 17:08:09,153 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,153 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,153 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,154 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,154 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,154 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,154 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,155 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-1.3065202  -0.6236493  -0.71438366 -1.158933   -0.06446566 -1.4229472
  1.5034333  -1.7910751  ...
[ 2018-10-17 17:08:09,156 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.24326493 -0.3190768  -0.38580644 -0.3911067  -0.62287736 -0.10228328
 -0.46684927 -0.02365118...
[ 2018-10-17 17:08:09,157 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.17347424 0.3619338  0.2781078  0.2433709  0.39260966 0.20937173
 0.9714614  0.1972668  0.56940...
[ 2018-10-17 17:08:09,157 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,158 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,158 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,159 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,159 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,159 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:09,159 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,159 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,159 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,159 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,160 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,160 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,160 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,160 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,160 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,161 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  64], value = [[[[ 0.01650644 -0.02801348 -0.01993045 ... -0.00489055 -0.03586129
     0.00218299]
   [-0.02087...
[ 2018-10-17 17:08:09,161 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,161 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,161 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,162 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,162 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,162 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,162 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,163 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [64], value = [-1.0985903  -0.47769406 -0.19942874  0.8866294  -0.71957076 -0.73140687
 -0.60597557 -0.77688396...
[ 2018-10-17 17:08:09,164 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [64], value = [-0.57407665  0.04199237  0.09187341 -0.15151569  0.09727654  0.329101
 -0.45222032 -0.881089    ...
[ 2018-10-17 17:08:09,164 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [64], value = [0.34944803 0.543231   0.9881029  1.2844085  0.61877275 0.35674414
 0.4764486  0.5396011  0.43245...
[ 2018-10-17 17:08:09,165 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,166 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,166 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,166 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,166 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,166 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,166 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,166 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,167 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,167 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,167 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,167 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,167 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:09,167 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,168 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,171 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 3  3 64 96], value = [[[[ 1.88112061e-03 -1.85109954e-02 -3.70594226e-02 ... -9.26362537e-03
     9.83940437e-03  9.67...
[ 2018-10-17 17:08:09,172 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 64], value = <UNKNOWN>
[ 2018-10-17 17:08:09,172 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,172 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,172 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,172 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,172 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,172 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,173 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [-8.4613991e-01 -1.3396583e+00 -3.2120964e-01 -3.3495682e-01
 -6.6718155e-01  4.8073989e-01 -1.20...
[ 2018-10-17 17:08:09,175 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [-0.12113596  0.01326872 -0.13186592 -0.5515647  -0.45049843 -0.53183025
 -0.5619965  -0.5467203 ...
[ 2018-10-17 17:08:09,176 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [0.24085362 0.27277404 0.37071446 0.3676675  0.32860637 0.4215524
 0.22302856 0.2886585  0.258346...
[ 2018-10-17 17:08:09,176 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,177 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,177 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,177 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,177 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,178 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,179 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,179 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,180 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384  96], value = [[[[-0.04280804 -0.01238076 -0.00570597 ...  0.03383728 -0.11772638
     0.0863217 ]
   [ 0.07687...
[ 2018-10-17 17:08:09,180 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,180 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,180 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,180 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,180 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,181 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,181 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,182 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [96], value = [ 0.30211815 -0.04636602 -0.37852874 -0.19813918 -0.13176803 -0.2601847
 -1.1529008   0.01335048 ...
[ 2018-10-17 17:08:09,183 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [96], value = [ 0.7154513   0.44392604  0.48523006  0.862921   -0.01305647 -0.3589078
 -0.14687818  2.4215727  ...
[ 2018-10-17 17:08:09,184 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [96], value = [1.7698976  1.0496591  0.8696505  1.2201381  1.192966   0.9138266
 0.51802933 0.91879505 0.866969...
[ 2018-10-17 17:08:09,184 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,185 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,186 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,186 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,186 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,186 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,186 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,186 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,187 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,187 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,187 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,187 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,187 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_5e/concat
[ 2018-10-17 17:08:09,187 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,188 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,188 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,188 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,188 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,189 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [ 1 35 35 96], value = <UNKNOWN>
[ 2018-10-17 17:08:09,189 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,189 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,189 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,189 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_2/MaxPool_1a_3x3/MaxPool
[ 2018-10-17 17:08:09,189 ] [ DEBUG ] [ infer:125 ]  Op: MaxPool
[ 2018-10-17 17:08:09,189 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,190 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,190 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,190 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,190 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,190 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,190 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,191 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,191 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   1 384 192], value = [[[[-0.01004866 -0.01183991 -0.01674514 ...  0.00342835  0.03709083
    -0.03012016]
   [ 0.02389...
[ 2018-10-17 17:08:09,192 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,192 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,192 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,192 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,192 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,192 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,192 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,195 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.6022188  -0.9973158  -0.80637705 -1.0093179  -0.665061   -0.6622014
  0.37721714 -0.6845607  ...
[ 2018-10-17 17:08:09,197 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-3.94155681e-02 -1.61736444e-01  2.07786292e-01 -1.39470361e-02
 -8.75874162e-02 -5.85722104e-02...
[ 2018-10-17 17:08:09,199 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.11614819 0.11171143 0.11942653 0.10535567 0.18267737 0.13630271
 0.6672445  0.15976281 0.26470...
[ 2018-10-17 17:08:09,199 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,201 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,201 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,201 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,201 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,201 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,201 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,202 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,202 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,202 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,202 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,202 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,202 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:09,202 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,203 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,206 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   3 192 224], value = [[[[ 1.77725200e-02 -1.86163082e-03 -2.53969934e-02 ...  5.27624227e-03
    -1.77430687e-03 -2.41...
[ 2018-10-17 17:08:09,207 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,207 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,207 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,207 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,207 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,207 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,207 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,210 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-1.1574774  -1.2282861  -0.6522882  -0.93913895 -1.495598   -0.72854227
 -1.6084855  -0.7775988 ...
[ 2018-10-17 17:08:09,212 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.05429674  0.47636372 -0.2550164  -0.4023324   0.12346926 -0.6404748
  0.94586474 -0.48592803 ...
[ 2018-10-17 17:08:09,214 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.38532537 0.567096   0.4917387  0.48449335 0.70866    0.46690887
 0.80380076 0.71927273 0.33822...
[ 2018-10-17 17:08:09,215 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,217 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,217 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,217 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,217 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,217 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:09,217 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,218 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,218 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,218 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,218 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  35  35 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,218 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,218 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:09,218 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,219 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,222 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   3 224 256], value = [[[[-5.04021998e-03 -5.33674425e-03 -2.70070555e-03 ...  2.09495388e-02
     1.47061801e-30 -1.10...
[ 2018-10-17 17:08:09,223 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,223 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,223 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,223 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,223 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,223 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,224 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,226 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.35851258 -0.46249107 -0.04899985 -0.4026215   0.08290846 -0.5528497
 -0.51388747 -0.4726909  ...
[ 2018-10-17 17:08:09,229 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-2.5169131e-01 -1.5614426e-01 -1.4060308e-01 -2.2348739e-01
  2.5413714e-03 -2.6706749e-01 -2.17...
[ 2018-10-17 17:08:09,231 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [2.67449260e-01 1.43866554e-01 2.03840256e-01 1.61490589e-01
 1.97171926e-01 8.69284645e-02 9.962...
[ 2018-10-17 17:08:09,232 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,234 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,234 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,234 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,234 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,234 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:09,234 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,234 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,235 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,235 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,235 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,235 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,235 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:09,235 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,236 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,239 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   3 384 384], value = [[[[-4.51063784e-03 -5.39984647e-03 -7.63219222e-03 ... -1.06404093e-03
     3.96083063e-03 -7.95...
[ 2018-10-17 17:08:09,239 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  35  35 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,239 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,240 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,240 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,240 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,240 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,240 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,244 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.5990812  -0.9597587  -0.71110773 -0.7008654  -0.7313785  -0.817401
 -1.2363361  -0.9567621  -...
[ 2018-10-17 17:08:09,248 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [ 6.29635453e-01  3.56593490e-01 -6.13724738e-02 -4.42611091e-02
  9.95658431e-03 -5.05619407e-01...
[ 2018-10-17 17:08:09,252 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.9981787  0.507364   0.7863635  0.78405815 1.0544733  0.6949982
 0.5431797  0.6414181  1.023544...
[ 2018-10-17 17:08:09,252 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,255 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,255 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,255 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,256 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,257 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6a/concat
[ 2018-10-17 17:08:09,257 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,257 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,257 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,257 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,257 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,258 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,258 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,258 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,258 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,258 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,258 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,258 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,259 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,259 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,259 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,259 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,259 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,260 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,260 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  128], value = [[[[-0.03462129  0.05851246  0.01253952 ...  0.00503928  0.00875339
     0.01298004]
   [ 0.00275...
[ 2018-10-17 17:08:09,260 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,261 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,261 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,261 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,261 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,261 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,261 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,263 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [128], value = [-0.71753573 -0.72080874 -0.59457046 -0.76273507 -0.6971414  -0.5146064
 -0.47561648 -0.50613505 ...
[ 2018-10-17 17:08:09,264 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [128], value = [-1.40688396e+00 -5.14528871e-01 -5.54126084e-01 -3.94533008e-01
 -1.59976617e-01  3.90107781e-01...
[ 2018-10-17 17:08:09,266 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [128], value = [0.30147907 0.29898784 0.33466208 0.2294001  0.2879955  0.5966791
 0.28546843 0.33852264 0.289397...
[ 2018-10-17 17:08:09,266 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,267 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,267 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,268 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,268 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,268 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:09,268 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,268 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,268 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,268 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,269 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,269 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,269 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,269 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,269 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,270 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-1.16573367e-02 -1.19965784e-02 -1.36457253e-02 ... -7.49039510e-03
    -1.69516597e-02 -9.37...
[ 2018-10-17 17:08:09,270 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,270 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,271 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,271 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,271 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,271 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,271 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,273 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.5557474  -0.8361396  -0.8661841  -0.7460155  -0.5919895  -1.0906842
 -0.9441059  -0.7481331  ...
[ 2018-10-17 17:08:09,275 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-0.47457632  0.9478483   0.25716043  0.04668796 -1.2929474   0.01281809
  0.52050316  0.62455976...
[ 2018-10-17 17:08:09,277 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.5621151  0.36465988 0.5458695  0.5744584  0.6266331  0.42509753
 0.33821672 0.57677835 0.34537...
[ 2018-10-17 17:08:09,278 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,279 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,279 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,280 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,280 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,280 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,280 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,280 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,280 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,280 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,281 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,281 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,281 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:09,281 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,281 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,284 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 192 192], value = [[[[-2.60050613e-02 -1.87908101e-03  1.01976264e-02 ...  3.72061599e-03
    -1.02433085e-03  1.14...
[ 2018-10-17 17:08:09,284 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,284 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,284 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,284 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,285 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,285 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,285 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,287 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.06125842 -1.1244353  -0.8476108  -0.95589197  0.03616021 -0.5012645
 -0.4434472  -0.7821077  ...
[ 2018-10-17 17:08:09,289 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-0.46127272 -0.1562078  -0.46337295 -0.50323856  0.5580553  -0.24649815
 -0.18627    -0.2515804 ...
[ 2018-10-17 17:08:09,291 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [1.1045517  0.12226272 0.18427956 0.14069961 0.8563685  0.22696547
 0.22044192 0.17012203 0.14058...
[ 2018-10-17 17:08:09,291 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,293 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,293 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,293 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,293 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,293 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:09,293 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,293 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,294 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,294 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,294 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,294 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,294 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:09,294 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,295 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,297 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 0.0201811   0.00983356 -0.01874843 ...  0.02174833 -0.02026645
     0.00334722]
   [-0.01323...
[ 2018-10-17 17:08:09,297 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,297 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,298 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,298 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,298 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,298 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,298 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,301 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.6767866  -0.40824947 -0.9750391  -0.72862464 -0.9440759  -1.2038217
 -0.3960384  -0.7255677  ...
[ 2018-10-17 17:08:09,303 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.51381844 -0.66540045 -0.24188894 -0.4247735  -0.480528   -0.02346819
 -0.15750371 -0.611802  ...
[ 2018-10-17 17:08:09,305 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.23190153 0.3005409  0.14851755 0.18599044 0.20452696 0.11279035
 0.2897376  0.19271365 0.14248...
[ 2018-10-17 17:08:09,306 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,308 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,308 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,308 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,308 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,308 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:09,308 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,309 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,309 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,309 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,309 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,309 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,309 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:09,309 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,310 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,313 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 224], value = [[[[-2.67532021e-02  1.48060464e-03  9.45358828e-04 ... -3.31771374e-02
     1.01390490e-02 -1.59...
[ 2018-10-17 17:08:09,313 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,313 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,313 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,313 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,313 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,313 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,314 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,316 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.9132813   0.03499109 -0.5277126  -0.41252097 -1.624132   -0.63813496
 -0.9270529  -1.4885293 ...
[ 2018-10-17 17:08:09,318 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [ 0.19766107 -0.40407756 -0.14763516 -0.26064923  0.22768293 -0.33479053
 -0.34830618  0.00801639...
[ 2018-10-17 17:08:09,320 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.1329571  0.37745294 0.15888688 0.15861069 0.14949979 0.1382487
 0.13022266 0.19871691 0.319689...
[ 2018-10-17 17:08:09,320 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,322 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,322 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,322 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,323 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:09,324 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,324 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,327 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 224 256], value = [[[[-0.01089026 -0.015551    0.00181807 ... -0.01908748 -0.01087412
    -0.02051688]
   [-0.04029...
[ 2018-10-17 17:08:09,327 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,327 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,327 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,327 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,327 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,328 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,328 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,330 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.6945845  -1.2185707  -0.4008262  -0.8767155  -0.87556714  0.3916416
 -0.9117763  -0.9829368  ...
[ 2018-10-17 17:08:09,333 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.83397245 -0.8386765  -1.0340625  -0.34724605 -0.5241763  -0.46909124
 -0.19815461 -0.60340625...
[ 2018-10-17 17:08:09,336 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.42924026 0.3207846  0.9112227  0.5390023  0.31441718 3.9300752
 0.40293843 0.20773233 1.012007...
[ 2018-10-17 17:08:09,336 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,338 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,338 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,339 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,339 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,339 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:09,339 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,339 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,339 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,339 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,340 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,340 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,340 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,340 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,340 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,341 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-0.0113747  -0.02273878 -0.01140064 ...  0.00124242 -0.03813182
    -0.03230025]
   [-0.01004...
[ 2018-10-17 17:08:09,341 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,341 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,342 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,342 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,342 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,342 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,342 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,344 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-1.1789259  -0.36010778 -0.78101623 -0.45400426 -0.92916155 -0.8316858
 -0.8499692  -0.7307328  ...
[ 2018-10-17 17:08:09,346 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [ 7.42094040e-01 -3.57164860e-01  3.99725288e-01  4.82729554e-01
  7.63808787e-01 -3.69024813e-01...
[ 2018-10-17 17:08:09,348 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.43772203 1.2833278  0.6708505  0.8476264  0.44512814 0.42315298
 0.6074486  0.62942827 0.38681...
[ 2018-10-17 17:08:09,348 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,350 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,350 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,350 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,350 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,350 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,350 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,351 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,351 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,351 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,351 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,351 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,351 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:09,351 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,352 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,354 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[-6.81114662e-03 -1.16402248e-03  7.38417124e-03 ...  6.13406010e-04
    -6.90103834e-03 -1.09...
[ 2018-10-17 17:08:09,355 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,355 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,355 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,355 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,355 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,355 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,355 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,358 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.58433205 -0.91391325 -0.60100734 -0.68665785 -0.41939726 -0.58790565
 -1.1988322  -0.85044223...
[ 2018-10-17 17:08:09,360 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.53363484 -0.17437752 -0.259609   -0.22448944 -0.7127811  -0.04593135
 -0.07131137 -0.293512  ...
[ 2018-10-17 17:08:09,362 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.41721272 0.19071758 0.50255823 0.34416872 0.41871986 0.3328601
 0.16677898 0.2307307  0.250397...
[ 2018-10-17 17:08:09,362 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,364 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,364 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,364 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,365 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,365 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:09,365 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,365 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,365 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,365 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,365 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,366 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,366 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:09,366 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,366 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,369 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 256], value = [[[[ 4.9105375e-03 -6.0925991e-03  3.3005483e-02 ... -4.7515486e-03
     6.6237431e-03 -1.1662933...
[ 2018-10-17 17:08:09,369 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,369 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,369 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,369 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,370 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,370 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,370 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,372 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.7433277  -0.64611393 -1.2248404  -1.3911371  -0.6613942  -0.8105399
 -0.43708116 -0.72216296 ...
[ 2018-10-17 17:08:09,375 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-3.41541052e-01 -5.27691066e-01 -2.81257123e-01 -2.15036254e-02
 -9.64195967e-01 -2.79152721e-01...
[ 2018-10-17 17:08:09,378 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.344225   0.3365919  0.29981077 0.3065516  0.31927264 0.348406
 0.43982705 0.25740945 0.5747469...
[ 2018-10-17 17:08:09,378 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,380 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,380 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,381 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,381 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,381 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:09,381 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,381 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,381 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,381 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,382 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,382 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,382 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,382 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,382 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,383 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  384], value = [[[[ 0.00595044 -0.03195796 -0.01744903 ...  0.01814583 -0.0069019
    -0.00769262]
   [ 0.000786...
[ 2018-10-17 17:08:09,383 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,383 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,384 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,384 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,384 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,384 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,384 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,388 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.60031575 -0.24976102 -0.5354664  -0.3430819  -0.399645   -0.48231012
 -0.35918123 -0.37903517...
[ 2018-10-17 17:08:09,392 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.50620025  0.288675   -0.2399776  -1.0957668  -0.83058256 -0.01562694
 -0.32910895 -0.3634491 ...
[ 2018-10-17 17:08:09,396 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [ 0.5066511   0.67766845  0.95557624  1.0313374   0.77503234  0.74766755
  0.79179895  0.5671148 ...
[ 2018-10-17 17:08:09,396 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,399 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,399 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,399 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,400 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,400 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,400 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,400 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,400 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,400 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,400 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,401 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,401 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6b/concat
[ 2018-10-17 17:08:09,401 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,401 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,401 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,402 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,402 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,402 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,402 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,402 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,402 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,402 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,403 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,403 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,403 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,403 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,403 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,403 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,403 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,404 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,404 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,405 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  128], value = [[[[-0.0452814  -0.02323938  0.00425241 ...  0.01141422 -0.00916894
     0.03808452]
   [ 0.00784...
[ 2018-10-17 17:08:09,405 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,405 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,405 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,405 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,405 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,405 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,406 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,407 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [128], value = [-0.6499467  -0.58752656 -0.7578564  -0.8108787  -0.71582514 -0.6866292
 -0.6172447  -0.6330692  ...
[ 2018-10-17 17:08:09,408 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [128], value = [-0.11088524 -0.2163332  -0.01096808 -0.3360739  -0.7769051  -0.5362632
  0.14852437 -0.48483476 ...
[ 2018-10-17 17:08:09,410 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [128], value = [0.1540736  0.2141493  0.15281773 0.13596962 0.21285175 0.13447185
 0.29384288 0.27303723 0.10846...
[ 2018-10-17 17:08:09,410 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,411 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,411 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,412 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,412 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,412 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:09,412 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,412 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,412 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,412 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,413 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,413 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,413 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,413 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,413 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,414 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-1.87705848e-02 -2.00556219e-03 -4.28938586e-03 ... -6.85071433e-03
     7.02062203e-03 -8.33...
[ 2018-10-17 17:08:09,414 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,414 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,415 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,415 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,415 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,415 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,415 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,417 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-3.26120615e-01 -1.13761735e+00 -6.06539607e-01 -5.38183391e-01
 -3.03639412e-01 -1.59142315e-01...
[ 2018-10-17 17:08:09,419 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-1.36041921e-03 -3.41656543e-02 -1.25642478e-01 -2.15561926e-01
  9.50177789e-01  4.04185921e-01...
[ 2018-10-17 17:08:09,421 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.28596836 0.1176138  0.19462374 0.24296694 0.388498   0.2937937
 0.2583098  0.19835635 0.244146...
[ 2018-10-17 17:08:09,422 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,423 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,423 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,424 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,424 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,424 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,424 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,424 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,424 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,425 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,425 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,425 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,425 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:09,425 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,425 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,428 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 192 192], value = [[[[ 1.60010625e-02 -4.49499069e-03  3.22529837e-03 ... -2.78994571e-02
    -1.20813679e-02  6.61...
[ 2018-10-17 17:08:09,428 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,428 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,429 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,429 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,429 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,429 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,429 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,431 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-4.5002180e-01 -9.5995253e-01 -2.9191637e-01 -5.3095472e-01
 -8.4302849e-01 -3.8889351e-01 -6.94...
[ 2018-10-17 17:08:09,433 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [ 3.91182780e-01 -1.92256942e-01 -4.83509719e-01 -1.77802593e-01
 -2.58713156e-01  2.52947748e-01...
[ 2018-10-17 17:08:09,435 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.6657288  0.2753766  0.5113683  0.50164807 0.30098537 0.60274386
 0.30434412 0.63755065 0.32328...
[ 2018-10-17 17:08:09,435 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,437 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,437 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,437 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,438 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,438 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:09,438 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,438 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,438 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,438 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,438 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,439 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,439 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:09,439 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,439 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,442 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[-1.28000295e-02 -1.09110503e-02  3.39840688e-02 ...  1.56250596e-02
     3.80981923e-03 -4.19...
[ 2018-10-17 17:08:09,442 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,442 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,442 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,442 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,442 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,442 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,443 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,445 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-6.14721119e-01 -4.83924747e-01 -3.33409935e-01 -6.00036085e-01
 -8.97234976e-02 -2.61188656e-01...
[ 2018-10-17 17:08:09,447 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-1.88059062e-01 -4.83233541e-01  3.93084764e-01  3.44289094e-02
  2.88647175e-01 -5.00048995e-01...
[ 2018-10-17 17:08:09,449 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.24420348 0.22466321 0.33941594 0.25211236 0.4413081  0.3078778
 0.21520825 0.18006207 0.253390...
[ 2018-10-17 17:08:09,449 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,451 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,452 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,452 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,452 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,452 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:09,452 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,453 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,453 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,453 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,453 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,453 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,453 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:09,453 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,454 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,456 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 224], value = [[[[-8.18150863e-03  2.95199663e-03 -1.26209874e-02 ... -2.53142812e-03
     4.98718256e-03  3.82...
[ 2018-10-17 17:08:09,456 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,456 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,457 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,457 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,457 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,457 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,457 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,459 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [ 0.43812042 -0.8699977  -0.55537885  0.00315851 -0.2945329  -0.56921655
 -0.83955526 -0.6814741 ...
[ 2018-10-17 17:08:09,462 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.51141953 -0.37047017 -0.12558722 -0.40544567 -0.24287114 -0.39493173
 -0.39096385 -0.27028382...
[ 2018-10-17 17:08:09,464 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.52339286 0.19932617 0.40620148 0.5774406  0.40622398 0.42675626
 0.2447701  0.24874146 0.26610...
[ 2018-10-17 17:08:09,464 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,466 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,467 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,467 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,467 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,467 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:09,467 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,467 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,468 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,468 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,468 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,468 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,468 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:09,468 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,469 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,471 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 224 256], value = [[[[-5.04731713e-03  6.12781532e-02 -6.15602033e-03 ... -2.32026912e-02
    -6.87713502e-04 -6.00...
[ 2018-10-17 17:08:09,471 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,471 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,472 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,472 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,472 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,472 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,472 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,475 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.5936837  -1.0244188  -0.6690517  -0.34087178 -0.43151978 -0.9737632
 -0.5082169  -0.6365459  ...
[ 2018-10-17 17:08:09,478 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-5.4398900e-01 -5.2745473e-01 -1.1410666e+00 -1.0748258e+00
 -7.4355513e-01 -3.7667590e-01 -7.43...
[ 2018-10-17 17:08:09,480 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [3.8041916e-01 4.6984369e-01 3.9589241e-01 9.3280727e-01 4.4700471e-01
 4.4857019e-01 2.5928241e-...
[ 2018-10-17 17:08:09,480 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,482 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,483 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,483 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,483 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,483 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:09,483 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,483 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,483 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,484 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,484 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,484 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,484 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,484 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,485 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,485 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-0.00586138 -0.01270149  0.00148267 ... -0.0051339   0.01737739
     0.00676687]
   [-0.00612...
[ 2018-10-17 17:08:09,485 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,485 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,486 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,486 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,486 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,486 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,486 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,488 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-2.15646580e-01 -9.00047779e-01 -6.07264698e-01 -8.93098414e-01
 -8.21107388e-01 -8.96440327e-01...
[ 2018-10-17 17:08:09,490 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [ 0.29858804 -0.01069703 -0.31949845 -0.16935246  0.00154271 -0.25726938
 -0.44345275  0.9646654 ...
[ 2018-10-17 17:08:09,492 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.588376   0.21184239 0.30141094 0.21732578 0.28738683 0.22958899
 0.23824549 0.23498116 0.26638...
[ 2018-10-17 17:08:09,494 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,496 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,496 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,496 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,496 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,497 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,497 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,497 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,497 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,497 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,497 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,497 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,498 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:09,498 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,498 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,501 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 9.00458172e-03  3.83178936e-03 -1.36887208e-02 ... -4.10429668e-03
     8.86141043e-03  4.51...
[ 2018-10-17 17:08:09,501 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,501 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,501 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,502 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,502 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,502 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,502 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,504 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [ 0.22989166 -0.80805796 -0.31320235 -0.56205124 -0.7951046  -0.5049579
 -0.48488808 -0.44273835 ...
[ 2018-10-17 17:08:09,507 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [ 0.0751691  -0.1727946   0.07812444 -0.09881052 -0.10299469 -0.1492048
 -0.23235738 -0.44782877 ...
[ 2018-10-17 17:08:09,509 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.18984097 0.22900118 0.28351137 0.2703015  0.08088855 0.11779885
 0.23530875 0.11601057 0.15127...
[ 2018-10-17 17:08:09,510 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,512 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,512 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,512 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,512 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,512 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:09,512 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,513 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,513 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,513 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,513 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,513 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,513 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:09,513 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,514 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,517 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 256], value = [[[[ 3.31458868e-03  6.49274606e-03 -6.62965421e-03 ...  9.46268067e-03
    -5.12726512e-03 -4.63...
[ 2018-10-17 17:08:09,517 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,517 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,517 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,517 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,517 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,517 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,518 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,520 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-5.88495135e-01 -5.04763544e-01 -3.26454155e-02 -4.14251119e-01
  4.17806983e-01 -7.89636970e-01...
[ 2018-10-17 17:08:09,522 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.7300821  -0.14588441 -0.03160847 -0.2805917  -0.01226924 -0.65834725
 -0.0500084   0.073048  ...
[ 2018-10-17 17:08:09,525 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.37157044 0.5043529  3.3268847  0.32918656 3.6413434  0.5832643
 0.5052324  0.38112396 0.469944...
[ 2018-10-17 17:08:09,525 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,527 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,527 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,528 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,528 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,528 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:09,528 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,528 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,528 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,528 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,529 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,529 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,529 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,529 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,529 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,530 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  384], value = [[[[ 0.00718516  0.00336887  0.02206648 ...  0.00261192 -0.03113639
     0.00820288]
   [ 0.00821...
[ 2018-10-17 17:08:09,530 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,530 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,531 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,531 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,531 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,531 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,531 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,535 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-5.43867171e-01 -4.30171311e-01 -7.50703216e-01 -2.13963270e-01
 -4.06335860e-01 -5.00188828e-01...
[ 2018-10-17 17:08:09,539 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [ 1.66485906e-01  1.06071448e-02 -1.05831516e+00 -2.87573367e-01
 -4.85226125e-01  9.81084779e-02...
[ 2018-10-17 17:08:09,543 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.24038766 0.35107592 0.4057397  0.8279359  0.4153215  0.38522586
 0.5726017  0.3538075  0.37103...
[ 2018-10-17 17:08:09,543 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,547 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,547 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,547 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,547 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,547 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,547 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,548 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,548 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,548 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,548 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,548 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,548 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6c/concat
[ 2018-10-17 17:08:09,548 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,549 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,549 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,549 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,550 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,550 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,550 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,550 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,550 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,550 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,550 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,551 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,551 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,551 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,551 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,551 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,551 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,551 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,552 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,553 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  128], value = [[[[ 0.00539506 -0.04006429  0.00313758 ...  0.01822556  0.00478344
     0.02076883]
   [ 0.04003...
[ 2018-10-17 17:08:09,553 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,553 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,553 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,553 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,553 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,553 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,554 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,555 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [128], value = [-0.6324212  -0.6235583  -0.7125679  -0.125428   -0.6542412  -0.43786862
 -0.40908507 -0.6080726 ...
[ 2018-10-17 17:08:09,556 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [128], value = [-0.3232488  -0.09229293 -0.3800448  -0.2927804  -0.62771744 -0.12688217
 -0.03451735 -0.49696907...
[ 2018-10-17 17:08:09,558 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [128], value = [0.1129746  0.12910555 0.11639821 0.3547483  0.13115954 0.18626176
 0.16456504 0.10257756 0.18230...
[ 2018-10-17 17:08:09,558 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,559 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,560 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,560 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,560 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,560 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:09,560 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,560 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,561 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,561 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,561 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,561 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,561 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,561 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,562 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,562 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-1.7064746e-03 -2.4750017e-02  1.8178025e-02 ... -7.9325614e-03
    -8.9283109e-05  4.8462108...
[ 2018-10-17 17:08:09,562 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,562 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,563 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,563 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,563 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,563 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,563 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,565 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.4925172  -0.46077168 -0.70395905 -0.46149448 -1.2255404  -0.71021056
 -0.7391314  -0.9011577 ...
[ 2018-10-17 17:08:09,567 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [ 4.85883914e-02 -5.87954462e-01  2.79951125e-01 -3.23447645e-01
  9.71529260e-02 -8.53171870e-02...
[ 2018-10-17 17:08:09,569 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.2237976  0.46320778 0.14621568 0.32336363 0.30436835 0.17962287
 0.14866126 0.17032588 0.30702...
[ 2018-10-17 17:08:09,569 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,571 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,571 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,571 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,571 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,571 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,571 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,572 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,572 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,572 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,572 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,572 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,572 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:09,572 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,573 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,575 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 192 192], value = [[[[-0.02222011  0.00262306 -0.00362434 ...  0.00440325 -0.0074002
     0.01585664]
   [-0.002268...
[ 2018-10-17 17:08:09,576 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,576 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,576 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,576 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,576 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,576 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,576 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,579 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-3.23153526e-01 -6.15415648e-02 -4.20450389e-01 -4.45615053e-02
 -7.49695003e-02 -2.84147978e-01...
[ 2018-10-17 17:08:09,581 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [ 0.09076505 -0.43529055 -0.1794004   0.05693766 -0.00404197 -0.37185138
 -0.06151101 -0.32479194...
[ 2018-10-17 17:08:09,583 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.13095641 0.3824778  0.14238876 0.5458322  0.2521582  0.169518
 0.17080675 0.2260334  0.2793105...
[ 2018-10-17 17:08:09,583 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,585 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,585 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,585 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,585 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,585 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:09,585 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,585 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,586 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,586 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,586 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,586 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,586 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:09,586 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,587 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,589 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 1.22934934e-02  4.63763718e-03 -6.74492260e-03 ... -8.84242076e-03
    -5.75387198e-03  3.89...
[ 2018-10-17 17:08:09,589 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,590 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,590 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,590 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,590 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,590 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,590 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,593 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-3.7455049e-01 -4.2887846e-01 -1.7684738e-01 -1.6516252e-01
 -4.3369848e-01 -3.1038842e-01 -3.67...
[ 2018-10-17 17:08:09,595 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.7845064  -0.1219607  -0.5498478  -0.6128471  -0.11702512 -0.39795342
 -0.53889173 -0.23963164...
[ 2018-10-17 17:08:09,597 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.30107096 0.23939711 0.30330676 0.43677202 0.2078279  0.1708432
 0.25460386 0.11691872 0.310447...
[ 2018-10-17 17:08:09,597 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,599 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,599 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,600 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,600 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,600 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:09,600 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,600 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,601 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,601 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,601 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,601 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,601 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:09,601 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,602 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,604 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 224], value = [[[[ 2.49685580e-03  3.53289615e-05 -9.69992299e-03 ... -4.53027524e-03
    -1.60931088e-02  3.12...
[ 2018-10-17 17:08:09,605 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,605 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,605 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,605 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,605 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,605 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,605 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,608 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.48295155 -0.70380014 -0.42087153 -0.5823057  -0.30778196  0.10577822
 -0.5591413  -0.04472668...
[ 2018-10-17 17:08:09,610 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-3.10859224e-03  9.56899002e-02 -3.01950365e-01  3.79903354e-02
  6.29050210e-02  1.82747081e-01...
[ 2018-10-17 17:08:09,612 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.15157539 0.16390681 0.27534515 0.17791553 0.29602972 0.9670122
 0.2047333  0.19180998 0.386606...
[ 2018-10-17 17:08:09,612 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,614 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,614 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,615 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,615 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,615 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:09,615 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,615 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,615 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,615 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,616 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,616 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,616 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:09,616 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,616 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,619 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 224 256], value = [[[[-6.14501128e-04  2.05901428e-03 -5.81582217e-03 ...  4.89071710e-03
    -1.12054441e-02  1.67...
[ 2018-10-17 17:08:09,619 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,619 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,620 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,620 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,620 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,620 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,620 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,623 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.39668426 -0.31108215 -0.3341729  -0.34017318 -0.62443846 -0.83115846
 -0.42683735 -0.30715576...
[ 2018-10-17 17:08:09,626 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-2.31243894e-01 -8.73562470e-02 -4.29716796e-01 -9.07822669e-01
 -1.60437226e+00  1.60261974e-01...
[ 2018-10-17 17:08:09,628 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [6.15629196e-01 2.55225122e-01 2.22797251e+00 8.18976879e-01
 7.15498924e-01 4.20110971e-01 4.574...
[ 2018-10-17 17:08:09,628 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,630 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,631 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,631 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,631 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,631 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:09,631 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,631 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,632 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,632 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,632 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,632 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,632 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,632 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,633 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,633 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-8.9709638e-03 -2.9910732e-02 -1.6808555e-02 ...  4.8308648e-02
     3.7554167e-02 -2.3114813...
[ 2018-10-17 17:08:09,634 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,634 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,634 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,634 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,634 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,634 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,634 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,636 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.5794089  -0.592914   -1.148328   -0.7782367  -0.32577506 -0.77477914
 -0.05993682 -0.6044674 ...
[ 2018-10-17 17:08:09,638 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-3.20015043e-01 -4.27214831e-01 -2.72074528e-02  1.57212108e-01
 -7.20088422e-01 -2.09577456e-01...
[ 2018-10-17 17:08:09,640 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [2.6491237e-01 3.0468714e-01 2.8631058e-01 2.5925717e-01 5.0763446e-01
 1.8710704e-01 7.2819382e-...
[ 2018-10-17 17:08:09,640 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,642 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,642 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,642 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,643 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,643 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,643 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,643 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,643 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,643 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,643 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,644 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,644 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:09,644 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,644 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,647 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 1.37520963e-02 -1.34608010e-02  2.83578038e-03 ...  1.75334569e-02
    -8.68322421e-03 -5.37...
[ 2018-10-17 17:08:09,647 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,647 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,647 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,647 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,648 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,648 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,648 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,650 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.760716   -0.9293555  -0.5931443  -0.9430776  -0.38851038 -0.68357664
 -0.86253446 -0.5841237 ...
[ 2018-10-17 17:08:09,653 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.463291   -0.09112385 -0.0810896  -0.1495407  -0.6320044  -0.19255638
 -0.36047512 -0.12185496...
[ 2018-10-17 17:08:09,655 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.21743768 0.21399288 0.36687344 0.18278046 0.3795784  0.19963172
 0.17741233 0.32456863 0.21676...
[ 2018-10-17 17:08:09,655 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,657 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,657 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,657 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,658 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,659 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:09,659 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,659 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,662 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 256], value = [[[[-1.43894339e-02  1.01706404e-02 -2.00348832e-02 ... -1.52722858e-02
    -3.55815078e-04  1.72...
[ 2018-10-17 17:08:09,662 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,662 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,662 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,662 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,662 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,663 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,663 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,665 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.58411473 -0.58540386 -0.67863417 -0.8882381  -0.7387601  -0.7442636
 -0.62570524 -0.7254246  ...
[ 2018-10-17 17:08:09,668 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-5.07948399e-01 -1.90455526e-01 -2.83774555e-01 -3.23496044e-01
 -6.87908053e-01 -4.46687996e-01...
[ 2018-10-17 17:08:09,671 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.26293197 0.26639304 0.17826371 0.16281652 0.19165976 0.2445136
 0.22662045 0.254774   0.275814...
[ 2018-10-17 17:08:09,671 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,673 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,673 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,673 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,673 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,674 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,675 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  384], value = [[[[-0.02950469  0.03133866 -0.01205825 ... -0.00315501  0.03184851
    -0.0367863 ]
   [-0.03194...
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,676 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,680 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [ 5.16422801e-02  1.11168370e-01 -3.61201763e-01 -3.90212327e-01
 -3.98814201e-01 -7.17645705e-01...
[ 2018-10-17 17:08:09,684 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-1.03355795e-01 -5.11502028e-01  2.23606694e-02 -3.57939661e-01
 -5.42873144e-02 -3.23316634e-01...
[ 2018-10-17 17:08:09,688 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.44746375 0.54859835 0.22884957 0.2897884  0.2566671  0.22847372
 1.3618497  0.3141559  0.33954...
[ 2018-10-17 17:08:09,688 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,691 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,691 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,691 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,692 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,692 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,692 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,692 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,692 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,692 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,693 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,693 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,693 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6d/concat
[ 2018-10-17 17:08:09,693 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,693 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,694 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,694 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,694 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,694 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,694 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,694 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,694 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,695 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,696 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,696 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,697 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  128], value = [[[[ 0.02277843 -0.02701094 -0.00692881 ... -0.04573208  0.0032959
     0.07063334]
   [ 0.053055...
[ 2018-10-17 17:08:09,697 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,697 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,697 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,697 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,697 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,697 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,698 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,699 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [128], value = [-0.438631   -0.27095065 -0.53192955 -0.5282774  -0.56163263  0.02851919
 -0.39916465 -0.39295954...
[ 2018-10-17 17:08:09,701 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [128], value = [-0.14939396 -0.18255179  0.12322496 -0.29494208  0.23760694 -0.4645966
 -0.5960076   0.14741638 ...
[ 2018-10-17 17:08:09,702 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [128], value = [0.22034627 0.16224587 0.16442336 0.14579207 0.14312321 0.33587947
 0.18786792 0.24321151 0.23323...
[ 2018-10-17 17:08:09,702 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,704 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,704 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,704 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,704 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,704 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:09,704 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,705 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,705 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,705 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,705 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,705 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,705 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,705 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,706 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,707 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-0.04628062  0.01151617 -0.00569083 ...  0.00792942  0.01297216
    -0.01071028]
   [ 0.01027...
[ 2018-10-17 17:08:09,707 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,707 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,707 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,707 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,708 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,708 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,708 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,710 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.59233546 -0.8234305  -0.4840087  -0.6627017  -0.9931921  -0.588819
 -0.25448084 -0.5701173  -...
[ 2018-10-17 17:08:09,712 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-0.5490318   0.04191403  0.54198617  0.16907461 -0.12344714 -0.11773208
 -0.28858542 -0.06726713...
[ 2018-10-17 17:08:09,714 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.25019053 0.1631661  0.13488823 0.1571014  0.16814935 0.15713547
 0.11936798 0.21649894 0.24013...
[ 2018-10-17 17:08:09,714 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,716 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,716 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,716 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,716 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,716 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,716 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,717 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,717 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,717 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,717 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,717 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,717 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:09,717 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,718 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,720 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 192 192], value = [[[[ 2.79011969e-02 -1.89370774e-02 -5.60028804e-03 ...  9.68454499e-03
    -9.92451888e-03  6.48...
[ 2018-10-17 17:08:09,721 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,721 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,721 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,721 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,721 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,721 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,721 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,723 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-5.06911755e-01 -5.18919766e-01 -3.53855491e-01  8.90781637e-04
 -8.31747130e-02 -3.81505519e-01...
[ 2018-10-17 17:08:09,725 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-9.23379511e-02 -2.87267566e-01 -1.82680503e-01 -1.83886737e-02
  9.87148657e-02  2.49306142e-01...
[ 2018-10-17 17:08:09,727 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.08196471 0.16707252 0.11170118 0.21155512 0.23481515 0.17674014
 0.10259512 0.34816796 0.12666...
[ 2018-10-17 17:08:09,727 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,729 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,729 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,730 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,732 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,732 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:09,732 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,732 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,732 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,732 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,733 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,733 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,733 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:09,733 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,733 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,736 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[-4.74377722e-03  3.48722236e-03 -1.44028687e-04 ...  4.42882115e-03
     2.77093588e-03  4.69...
[ 2018-10-17 17:08:09,736 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,736 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,736 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,737 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,737 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,737 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,737 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,739 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.3419923  -0.24627581 -0.1033037  -0.00600467 -0.45196185 -0.27540225
 -0.09984641 -0.47190133...
[ 2018-10-17 17:08:09,742 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.21443045 -0.14651954 -0.6190677  -0.42696515 -0.49205688 -0.05506479
  0.12280675 -0.36274296...
[ 2018-10-17 17:08:09,744 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.15611894 0.22068435 0.29460636 0.2735256  0.15926681 0.20724623
 0.32718292 0.14155352 0.57632...
[ 2018-10-17 17:08:09,745 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,746 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,747 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,747 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,747 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,747 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:09,747 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,747 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,748 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,748 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,748 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,748 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,748 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:09,748 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,748 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,751 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 224], value = [[[[-8.06949008e-03 -1.42318255e-03  9.83863021e-04 ...  3.76987853e-03
    -8.89374467e-04  1.64...
[ 2018-10-17 17:08:09,751 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,751 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,751 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,752 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,752 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,752 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,752 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,754 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-1.65294498e-01 -4.47740942e-01 -4.11671758e-01 -4.35081214e-01
  5.58430701e-02 -5.11174738e-01...
[ 2018-10-17 17:08:09,757 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [ 3.00406199e-03  6.80884346e-02  2.26409510e-01 -2.85778437e-02
 -1.79301351e-01  1.65078893e-01...
[ 2018-10-17 17:08:09,759 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.55577826 0.13074934 0.21495537 0.35952327 0.34693992 0.24472721
 0.37770277 0.5081718  0.27491...
[ 2018-10-17 17:08:09,759 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,761 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,761 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,762 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,762 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,762 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:09,762 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,762 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,762 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,762 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,763 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,763 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,763 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:09,763 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,763 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,766 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 224 256], value = [[[[-6.36861147e-03 -1.06504774e-02 -4.61574318e-03 ...  1.00710173e-03
    -3.81715992e-03  9.35...
[ 2018-10-17 17:08:09,766 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,766 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,766 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,766 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,767 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,767 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,767 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,769 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.4506661  -0.4062155  -0.6300238  -0.39250985 -0.53839314  0.0556464
 -0.74702054 -0.43635604 ...
[ 2018-10-17 17:08:09,772 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-9.93201494e-01 -5.05294621e-01 -2.54260093e-01 -5.49939454e-01
  5.32976687e-02 -8.76435459e-01...
[ 2018-10-17 17:08:09,775 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [2.0167718  0.9202282  0.33452937 0.7338307  0.8267781  4.0667586
 0.8437784  1.188633   4.268137...
[ 2018-10-17 17:08:09,775 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,777 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,778 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,778 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,778 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,778 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:09,778 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,778 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,779 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,779 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,779 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,779 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,779 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,779 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,780 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,780 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[ 0.01285967  0.03421178 -0.00995497 ... -0.00200539 -0.02805926
    -0.02353239]
   [ 0.06730...
[ 2018-10-17 17:08:09,780 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,781 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,781 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,781 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,781 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,781 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,781 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,783 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.6076803  -0.7941382  -0.74228376 -0.80043364  0.00182516 -0.7739205
 -0.64233375 -0.68693215 ...
[ 2018-10-17 17:08:09,785 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [ 5.20539284e-01 -1.42105549e-04 -4.68038097e-02  2.41811618e-01
 -1.13277650e+00 -3.97876590e-01...
[ 2018-10-17 17:08:09,787 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.5834496  0.28410938 0.3094954  0.37696058 0.9814522  0.35612512
 0.3246333  0.30020794 0.29445...
[ 2018-10-17 17:08:09,787 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,789 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,789 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,790 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,790 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,790 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,790 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,790 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,790 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,790 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,791 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,791 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,791 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:09,791 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,791 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,794 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 1.80505626e-02 -1.58871301e-02  4.90345806e-03 ... -2.72129625e-02
    -4.89084097e-03  4.05...
[ 2018-10-17 17:08:09,794 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,794 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,794 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,794 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,795 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,795 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,795 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,797 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.14736144 -0.93735236 -0.8476434  -0.47241154 -0.2337879  -0.5821542
 -0.6726019  -0.7738604  ...
[ 2018-10-17 17:08:09,799 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.1807654  -0.3814124  -0.05208661 -0.67145234 -0.37074935 -0.4334501
 -0.39569443 -0.15281747 ...
[ 2018-10-17 17:08:09,801 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.3810417  0.26333278 0.13405673 0.40383723 0.35823584 0.31701383
 0.19138066 0.18793194 0.30921...
[ 2018-10-17 17:08:09,802 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,804 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,804 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,804 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,804 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,804 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:09,804 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,805 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,805 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,805 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,805 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,805 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,805 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:09,805 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,806 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,809 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 256], value = [[[[ 0.00802506  0.00903801 -0.01870893 ... -0.0221083   0.00771186
    -0.00547646]
   [ 0.00735...
[ 2018-10-17 17:08:09,809 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,809 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,809 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,809 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,809 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,809 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,810 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,812 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.9086873  -0.76418126 -0.5958969  -0.49699673 -0.5890364  -0.7683607
 -0.5763356  -0.69163555 ...
[ 2018-10-17 17:08:09,815 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.55573606 -0.10035605 -0.22846569  0.01924689 -0.5424683   0.52165157
 -0.16660237 -0.20374638...
[ 2018-10-17 17:08:09,818 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.14759065 0.17075376 0.21142453 0.20858285 0.19332348 0.39819387
 0.31820762 0.25900066 0.21577...
[ 2018-10-17 17:08:09,818 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,820 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,820 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,820 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,821 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,822 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,822 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,823 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  384], value = [[[[-0.05062675  0.02636558  0.02029037 ... -0.02556105 -0.01683097
    -0.06306476]
   [ 0.04804...
[ 2018-10-17 17:08:09,823 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,823 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,823 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,823 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,823 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,823 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,824 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,827 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-3.53104115e-01 -4.79400426e-01  1.71293795e-01 -7.64859989e-02
 -3.55632186e-01 -3.49242300e-01...
[ 2018-10-17 17:08:09,831 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [ 3.05040121e-01 -9.58130229e-03 -8.50445569e-01 -1.04290284e-01
 -3.79857033e-01 -5.96072972e-01...
[ 2018-10-17 17:08:09,835 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.71845704 0.43583143 1.0197895  0.4747959  0.32107446 0.35244015
 0.35178393 1.3370937  1.38767...
[ 2018-10-17 17:08:09,835 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,838 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,839 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,839 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,839 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,839 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,839 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,839 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,840 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,840 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,840 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,840 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,840 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6e/concat
[ 2018-10-17 17:08:09,840 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,841 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,841 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,841 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,841 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,841 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,841 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,842 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,842 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,842 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,842 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,842 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,842 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,842 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,843 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,843 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,843 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,843 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,843 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,844 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  128], value = [[[[ 0.00109166 -0.02799479  0.04870388 ... -0.0274927  -0.04208478
    -0.03546005]
   [-0.00366...
[ 2018-10-17 17:08:09,844 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,844 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,844 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,844 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,845 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,845 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,845 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,846 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [128], value = [-0.53535247 -0.75470865 -0.7465612  -0.35146818 -0.8138639  -0.77144724
 -0.7940953  -0.73371494...
[ 2018-10-17 17:08:09,847 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [128], value = [-0.38051847 -0.15291698 -0.02161263  0.24699344 -0.37192938 -0.19162251
  0.11017725 -0.93132293...
[ 2018-10-17 17:08:09,849 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [128], value = [0.40360692 0.20536338 0.32161593 0.82422614 0.22363603 0.15346643
 0.260559   0.254638   0.24997...
[ 2018-10-17 17:08:09,849 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,850 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,850 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,850 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,851 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,851 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:09,851 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,851 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,851 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,851 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,851 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,852 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,852 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,852 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,852 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,853 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[ 0.01117759 -0.00547974  0.00931785 ... -0.01464449  0.00450203
    -0.01769217]
   [ 0.03634...
[ 2018-10-17 17:08:09,853 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,853 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,853 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,854 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,854 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,854 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,854 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,856 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.68672013 -0.63596064 -0.11285617 -0.41420528 -0.5305775  -0.15549557
 -0.5688233  -0.6184241 ...
[ 2018-10-17 17:08:09,858 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [ 0.70956564 -0.6692426  -0.19843203 -0.12395231 -0.10440236  0.07925034
 -0.1896841  -0.08054046...
[ 2018-10-17 17:08:09,860 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.18958348 0.2819335  0.45372832 0.25205496 0.23003691 0.23164357
 0.14417903 0.26234937 0.07853...
[ 2018-10-17 17:08:09,860 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,862 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,862 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,863 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,863 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,863 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,863 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,863 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,863 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,863 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,864 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,864 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,864 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:09,864 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,864 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,867 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 192 192], value = [[[[-1.18311187e-02 -8.75449460e-03 -2.76896474e-03 ... -9.79020074e-03
    -1.40090147e-02 -1.14...
[ 2018-10-17 17:08:09,868 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,868 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,868 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,868 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,868 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,868 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,869 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,871 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.08330446  0.07482103 -0.6766875  -0.5837047  -0.43543518 -0.20745604
 -0.72925246 -0.32484534...
[ 2018-10-17 17:08:09,873 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-0.5551416   0.7032608  -0.44519368 -0.07272501  0.06014137 -0.8248033
 -0.4864548  -0.12006804 ...
[ 2018-10-17 17:08:09,875 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.5885897  0.8353226  0.19556725 0.24970883 0.27366439 0.34226263
 0.3475823  0.29246292 0.24134...
[ 2018-10-17 17:08:09,875 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,877 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,877 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,877 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,877 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,877 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:09,877 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,877 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,878 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,878 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,878 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,878 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,878 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:09,878 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,879 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,881 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 3.05963145e-03  3.16167227e-03  2.34009349e-03 ... -2.47824024e-02
    -4.55685072e-02 -1.65...
[ 2018-10-17 17:08:09,881 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,881 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,882 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,882 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,882 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,882 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,882 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,884 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.6979488  -0.49238923 -0.36528888 -0.74417824 -0.6149591  -0.6499399
 -0.07144434 -0.5367925  ...
[ 2018-10-17 17:08:09,887 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-7.5738907e-01 -8.5419309e-01 -6.8738741e-01 -4.2503074e-01
 -1.5275498e-01 -1.1046116e+00 -4.35...
[ 2018-10-17 17:08:09,889 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.18356708 0.2880481  0.57985073 0.5206259  0.43587837 0.25155276
 0.50272983 0.38194233 1.12247...
[ 2018-10-17 17:08:09,889 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,891 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,891 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,892 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,893 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,893 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:09,893 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,893 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,896 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 224], value = [[[[ 0.01193981  0.00557454  0.03221761 ... -0.00087812  0.00434915
    -0.01362814]
   [-0.00563...
[ 2018-10-17 17:08:09,896 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,896 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,896 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,896 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,896 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,896 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,897 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,899 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.04916668 -0.39837527 -0.5576643  -0.726765   -0.6130682  -0.4940165
 -0.4144212  -0.6552233  ...
[ 2018-10-17 17:08:09,901 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-3.85577649e-01 -5.26338160e-01 -3.53899598e-01 -4.47500020e-01
 -3.20069969e-01 -5.05039155e-01...
[ 2018-10-17 17:08:09,904 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [4.5160386e-01 6.8454301e-01 3.1525585e-01 1.7681094e-01 5.1422232e-01
 2.8975767e-01 3.8905692e-...
[ 2018-10-17 17:08:09,904 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,906 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,906 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,907 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,907 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,907 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:09,907 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,907 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,907 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,908 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,908 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,908 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,908 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:09,908 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,909 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,911 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 224 256], value = [[[[ 1.98756084e-02 -1.35356728e-02 -1.56460255e-02 ...  4.77785105e-03
    -1.06250215e-02  3.71...
[ 2018-10-17 17:08:09,911 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,911 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,912 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,912 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,912 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,912 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,912 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,915 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.9825897  -0.9796995  -0.8744164  -0.8100039  -0.85276365 -0.91512454
 -0.6501972  -1.0782437 ...
[ 2018-10-17 17:08:09,917 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-8.11771691e-01 -7.73234010e-01 -1.98256716e-01 -7.61465192e-01
 -9.32867825e-01 -2.60245502e-01...
[ 2018-10-17 17:08:09,920 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.58283556 0.3631334  0.30617744 0.44200858 0.41169265 0.22774494
 0.8551678  0.2252865  0.10188...
[ 2018-10-17 17:08:09,920 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,922 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,922 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,923 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,923 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,923 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:09,923 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,923 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,923 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,923 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,924 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,924 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,924 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,924 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,924 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,925 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[ 0.00034187  0.0092688  -0.00207975 ...  0.00069697 -0.00258254
    -0.03196683]
   [ 0.01322...
[ 2018-10-17 17:08:09,925 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,925 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,926 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,926 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,926 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,926 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,926 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,928 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.776784   -0.62435883 -0.6575866  -0.82252824 -0.6713411  -0.6809943
 -0.9121155  -0.6369574  ...
[ 2018-10-17 17:08:09,930 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-0.24726829 -0.689924   -0.4422387  -0.4623296  -0.5228235  -0.02624821
 -0.02020057 -0.20898953...
[ 2018-10-17 17:08:09,932 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.27675483 0.34434444 0.40184557 0.42596957 0.2774336  0.325822
 0.3067766  0.42175773 0.4164346...
[ 2018-10-17 17:08:09,932 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,934 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,934 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,934 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,934 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,935 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,935 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,935 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,935 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,935 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,935 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,935 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,936 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:09,936 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,936 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[-8.57112370e-03  2.01246724e-03 -2.43519992e-02 ...  1.32912938e-02
    -3.38864364e-02 -2.48...
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,939 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,942 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.06028938 -0.75635767 -0.8599872  -0.70362955 -0.7449689  -0.6298335
 -0.44867265 -0.1721379  ...
[ 2018-10-17 17:08:09,944 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-4.65792954e-01 -5.10231793e-01  1.96520407e-02 -4.71956849e-01
 -9.31070685e-01  4.36899215e-01...
[ 2018-10-17 17:08:09,946 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [5.7817096e-01 2.4896133e-01 2.6355955e-01 2.4119149e-01 2.6239809e-01
 3.3498704e-01 3.8188943e-...
[ 2018-10-17 17:08:09,947 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,949 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,949 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,949 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,949 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,949 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:09,950 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,950 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,950 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,950 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,950 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,950 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,950 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:09,951 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,951 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,954 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 256], value = [[[[ 5.39263850e-03  2.99869850e-03 -3.36828583e-04 ...  1.60159562e-02
    -4.52516787e-03 -2.67...
[ 2018-10-17 17:08:09,954 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:09,954 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,954 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,954 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,954 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,954 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,955 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,957 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.7266054  -0.8332614  -0.61451834 -0.6965172  -0.61309326 -1.1326439
 -0.7410933  -0.7080532  ...
[ 2018-10-17 17:08:09,960 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-8.35969567e-01 -2.54135787e-01 -6.00558743e-02 -6.16472840e-01
 -5.32597423e-01 -2.79049158e-01...
[ 2018-10-17 17:08:09,962 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.22064315 0.34567168 0.31572852 0.31489328 0.27581182 0.2661688
 0.28485975 0.3372713  0.389584...
[ 2018-10-17 17:08:09,963 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,965 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,965 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,965 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,965 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,965 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:09,965 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,966 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,966 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,966 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,966 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,966 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,966 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:09,966 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,967 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,968 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  384], value = [[[[-0.00610038 -0.0305419  -0.04175493 ...  0.01637043 -0.05027714
     0.01777735]
   [ 0.00047...
[ 2018-10-17 17:08:09,968 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,968 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,968 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,968 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,969 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,969 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,969 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,973 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.45429754 -0.35244352 -0.42269015 -0.48359942 -0.56976324 -0.24033165
 -0.33401442 -0.39098516...
[ 2018-10-17 17:08:09,976 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-5.95443010e-01 -5.91662765e-01  5.12685597e-01 -5.63668847e-01
 -8.72433186e-01  5.33381961e-02...
[ 2018-10-17 17:08:09,982 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.71233815 1.1680067  0.59851885 0.7256577  0.5636147  0.6195731
 0.73655975 0.53425056 0.465477...
[ 2018-10-17 17:08:09,982 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,986 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,986 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,986 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,986 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,986 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:09,986 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:09,987 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,987 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,987 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,987 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,987 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,987 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6f/concat
[ 2018-10-17 17:08:09,988 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:09,988 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,988 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:09,988 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,989 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:09,989 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,989 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,989 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,989 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,989 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:09,989 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:09,990 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,990 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,990 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,990 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,990 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,990 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:09,990 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:09,991 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,991 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  128], value = [[[[ 0.038119    0.00458187  0.02455819 ... -0.04238695  0.01035308
    -0.00291963]
   [-0.04649...
[ 2018-10-17 17:08:09,992 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:09,992 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,992 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,992 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:09,992 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:09,992 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:09,992 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:09,994 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [128], value = [-0.8221307  -1.141342   -0.91724503 -1.0794578  -1.0106285  -0.9125816
 -0.82209957 -0.99944377 ...
[ 2018-10-17 17:08:09,995 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [128], value = [-0.26547852 -0.37304515 -0.3055625  -0.3924644  -0.44401187 -0.331241
 -0.3655019  -0.7360713  -...
[ 2018-10-17 17:08:09,996 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [128], value = [0.21921016 0.17012991 0.21727262 0.16615568 0.17801617 0.22602247
 0.25330707 0.1674807  0.19382...
[ 2018-10-17 17:08:09,996 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,999 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:09,999 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:09,999 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:09,999 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,000 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:10,000 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,000 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,000 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,000 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,000 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,001 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,001 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,001 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,001 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,002 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[ 0.01952266 -0.00278416 -0.03156522 ... -0.03651115  0.02736326
    -0.01290906]
   [-0.02028...
[ 2018-10-17 17:08:10,002 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,002 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,002 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,002 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,003 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,003 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,003 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,005 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.77442026 -0.9045707  -1.2164929  -0.52683914 -1.1730564  -0.8280452
 -0.65653604 -1.1345694  ...
[ 2018-10-17 17:08:10,007 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-4.86182511e-01 -3.59355986e-01 -1.49041429e-01 -2.16462463e-01
 -4.85856384e-01 -1.98573753e-01...
[ 2018-10-17 17:08:10,008 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.26681134 0.25997618 0.18077144 0.34544423 0.18166897 0.31543976
 0.29610333 0.21100096 0.19551...
[ 2018-10-17 17:08:10,009 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,010 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,010 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,011 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,012 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,012 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:10,012 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,012 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,015 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 192 192], value = [[[[ 1.12526994e-02  7.12112756e-03  1.59254030e-03 ... -2.84935140e-05
    -9.00635682e-03 -2.85...
[ 2018-10-17 17:08:10,015 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,015 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,015 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,016 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,016 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,016 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,016 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,019 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.86005855 -0.27466562 -0.20651543  0.16607171 -0.79404604 -0.6980742
 -0.5736476  -0.5458944  ...
[ 2018-10-17 17:08:10,021 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-7.19078898e-01 -2.94719160e-01 -5.29200971e-01  1.18344605e-01
 -6.21494949e-01  1.95246145e-01...
[ 2018-10-17 17:08:10,024 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [2.6088876e-01 6.0917604e-01 4.6608973e-01 8.3944643e-01 2.6376939e-01
 2.4669182e-01 2.5404057e-...
[ 2018-10-17 17:08:10,024 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,026 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,026 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,026 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,026 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,026 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:10,027 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,027 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,028 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,028 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,028 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,028 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,028 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:10,028 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,029 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,032 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 5.38490489e-02 -1.33818369e-02  1.40646575e-02 ...  4.79956232e-02
    -2.39030384e-02 -2.47...
[ 2018-10-17 17:08:10,032 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,032 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,032 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,033 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,033 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,033 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,033 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,035 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.98745227 -0.8201308  -0.89960486 -1.0091894  -0.94462943 -0.96955925
 -0.9715164  -0.8491657 ...
[ 2018-10-17 17:08:10,037 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.43765745 -0.36881343 -0.84978265 -0.45906708 -0.32753897 -0.17239779
 -0.39952463 -0.40236944...
[ 2018-10-17 17:08:10,040 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.5291116  0.41190398 0.5221031  0.28077474 0.26400107 0.34248412
 0.37654632 0.40660632 0.12592...
[ 2018-10-17 17:08:10,040 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,042 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,042 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,042 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,042 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,042 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:10,042 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,043 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,043 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,043 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,043 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,043 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,043 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:10,043 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,044 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,047 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 224], value = [[[[ 0.01740289  0.02876579  0.01884879 ... -0.05111127  0.01085422
     0.01773127]
   [-0.02564...
[ 2018-10-17 17:08:10,047 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,047 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,047 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,048 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,048 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,048 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,048 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,050 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.24038622 -0.35922694 -0.88606256 -0.46349305 -0.31742924 -0.38519657
 -0.5287254  -0.6823969 ...
[ 2018-10-17 17:08:10,053 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-0.4367153  -0.5682845  -0.16426665 -0.38601407 -0.41730118 -0.41516057
 -0.41578186 -0.29841727...
[ 2018-10-17 17:08:10,055 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [0.37202632 0.3767381  0.21184349 0.16967902 0.34617165 0.42959544
 0.15766706 0.2077012  0.30047...
[ 2018-10-17 17:08:10,056 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,058 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,058 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,058 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,058 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,058 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:10,059 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,060 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,063 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 224 256], value = [[[[-0.02240791  0.01193094 -0.02449706 ... -0.00340324 -0.03678316
    -0.01976389]
   [ 0.01483...
[ 2018-10-17 17:08:10,063 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,063 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,063 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,063 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,063 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,063 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,064 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,066 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.8255678  -0.607562   -1.1344693  -0.3788133  -1.0852089  -0.9405422
 -0.88603383 -0.5279005  ...
[ 2018-10-17 17:08:10,069 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.63126504 -0.7137754  -1.2130759  -0.81068885 -0.3924593  -0.08227394
 -0.7867272  -0.76253086...
[ 2018-10-17 17:08:10,071 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.37425607 0.52253973 0.43403745 0.6042582  0.4450199  0.3202091
 0.38482404 0.63416153 0.614516...
[ 2018-10-17 17:08:10,071 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,073 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,073 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,073 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,074 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,074 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:10,074 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,074 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,074 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,074 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,075 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,075 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,075 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,075 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,075 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,076 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-0.03153727  0.00033638  0.02830292 ...  0.012332   -0.03654883
     0.00559943]
   [ 0.00742...
[ 2018-10-17 17:08:10,076 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,076 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,077 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,077 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,077 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,077 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,077 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,079 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.42934686 -0.7877924  -0.8190442  -0.9526011  -0.86335766 -0.6369908
 -1.0235023  -0.6044428  ...
[ 2018-10-17 17:08:10,081 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-4.37709540e-01  1.38952598e-01 -3.67373139e-01  3.69486064e-02
 -2.64839530e-01 -5.21430850e-01...
[ 2018-10-17 17:08:10,083 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [3.8389537e-01 3.8143119e-01 1.9841094e-01 2.8745615e-01 2.5042963e-01
 3.5239995e-01 1.8866827e-...
[ 2018-10-17 17:08:10,083 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,085 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,085 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,085 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,086 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,086 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,086 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,086 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,086 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,086 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,086 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,087 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,087 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:10,087 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,087 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,090 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[ 7.99081929e-04  1.23987412e-02 -3.96723710e-02 ...  1.50573933e-02
    -5.70580782e-03 -1.05...
[ 2018-10-17 17:08:10,090 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,090 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,090 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,090 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,090 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,090 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,091 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,093 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.11108212  0.07933892 -0.9410656  -1.0945936  -0.20602106 -0.66517425
 -0.856481   -0.80836666...
[ 2018-10-17 17:08:10,095 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-7.12191224e-01 -2.30294511e-01 -6.85754642e-02 -1.73497632e-01
 -5.02922339e-03 -9.47835863e-01...
[ 2018-10-17 17:08:10,098 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [6.9669533e-01 5.1756668e-01 1.7904495e-01 1.4920805e-01 4.7036338e-01
 4.3761271e-01 2.0518208e-...
[ 2018-10-17 17:08:10,098 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,100 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,100 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,100 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,101 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,101 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:10,101 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,101 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,101 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,101 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,101 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,102 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,102 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:10,102 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,102 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,105 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 256], value = [[[[ 0.00488662  0.03357482  0.02311    ... -0.05605343  0.00124873
     0.0169978 ]
   [ 0.04605...
[ 2018-10-17 17:08:10,105 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,105 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,105 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,105 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,105 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,106 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,106 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,108 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-1.3208297  -1.3056511  -1.149575   -0.87550044 -0.8939667  -0.775749
 -0.9894041  -0.8832191  -...
[ 2018-10-17 17:08:10,111 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [ 0.8762133  -0.24548708 -0.72340137 -0.5934708  -1.1430765  -0.9071878
 -0.2249607  -0.33712208 ...
[ 2018-10-17 17:08:10,114 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.2762717  0.19413255 0.2048065  0.2918133  0.30303708 0.32563064
 0.27090508 0.29138505 0.21531...
[ 2018-10-17 17:08:10,114 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,116 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,116 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,116 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,117 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,117 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:10,117 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,117 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,117 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,117 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,117 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,118 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,118 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,118 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,118 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,119 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  384], value = [[[[-0.00682518 -0.00901801 -0.00243676 ...  0.00085033 -0.05318396
     0.02843587]
   [-0.02029...
[ 2018-10-17 17:08:10,119 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,119 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,119 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,120 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,120 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,120 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,120 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,124 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-1.210788   -0.4023575  -0.69046533 -0.6888477  -0.85115373 -0.6558727
 -0.9310955  -0.9572927  ...
[ 2018-10-17 17:08:10,128 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.22078983 -0.29728314 -0.57249224 -0.5343742  -0.29404968 -0.5193728
 -0.26537305 -0.5097898  ...
[ 2018-10-17 17:08:10,131 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.43836406 0.7510273  0.43847507 0.33654305 0.39717966 0.44958234
 0.287225   0.3220443  0.48984...
[ 2018-10-17 17:08:10,132 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,135 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,135 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,135 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,135 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,136 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,136 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,136 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,136 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,136 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,136 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,137 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,137 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6g/concat
[ 2018-10-17 17:08:10,137 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,137 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,137 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,137 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,138 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,138 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,138 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,138 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,138 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,138 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:10,138 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:10,139 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,139 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,139 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,139 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,139 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,139 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:10,139 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,140 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  128], value = [[[[ 0.02401791 -0.00711056  0.00464704 ...  0.01978275  0.04714533
    -0.02307655]
   [-0.05461...
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,141 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,143 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [128], value = [-1.5769815  -1.8192927  -1.0438693  -0.7821421  -1.7296158  -1.1009879
 -1.2179294  -1.476412   ...
[ 2018-10-17 17:08:10,144 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [128], value = [-0.6205531  -0.5020528  -0.4899282  -0.10689084 -0.59743935 -0.46008587
 -0.22455701 -0.26017576...
[ 2018-10-17 17:08:10,146 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [128], value = [0.1342557  0.08715783 0.16491866 0.3153048  0.09792187 0.16690417
 0.13663109 0.12923731 0.10084...
[ 2018-10-17 17:08:10,146 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,147 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,147 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,147 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,148 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,148 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:10,148 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,148 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,148 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,148 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,148 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,149 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,149 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,149 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,149 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,150 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[ 0.02993792  0.03273425  0.00296539 ...  0.01087513  0.04250566
     0.00236839]
   [-0.01651...
[ 2018-10-17 17:08:10,150 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,150 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,150 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,151 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,151 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,151 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,151 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,153 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.8685087  -1.2314339  -0.4399856  -0.7580128  -0.6922757  -0.44802138
 -0.5645473  -0.3318487 ...
[ 2018-10-17 17:08:10,155 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-0.05973006 -0.19465964 -0.60598034 -0.252691   -0.15616511 -0.40537918
 -0.10301778 -0.16904435...
[ 2018-10-17 17:08:10,157 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.17793187 0.13290861 0.5280629  0.2253069  0.18119778 0.43613917
 0.20248133 0.2371591  0.19835...
[ 2018-10-17 17:08:10,157 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,159 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,159 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,160 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,160 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,160 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,160 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,160 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,160 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,160 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,161 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,161 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,161 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:10,161 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,161 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,164 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 192 192], value = [[[[-3.32587655e-03 -3.90679874e-02  1.06567256e-02 ... -1.25191864e-02
    -3.73087414e-02 -1.70...
[ 2018-10-17 17:08:10,164 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,164 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,164 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,164 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,165 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,165 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,165 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,167 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.98450196 -0.6893154  -0.57862675 -0.7116709  -0.89641404 -0.53754944
 -0.7010222  -1.0253448 ...
[ 2018-10-17 17:08:10,169 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-0.23577188 -0.03814242 -0.34298256 -0.28833234 -0.21853122 -0.53545594
  0.1388802  -0.43615684...
[ 2018-10-17 17:08:10,171 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.24764545 0.20266032 0.38565648 0.25137725 0.19452122 0.28159675
 0.30704337 0.18995781 0.34268...
[ 2018-10-17 17:08:10,171 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,173 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,173 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,173 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,173 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,173 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:10,173 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,173 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,174 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,174 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,174 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,174 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,174 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:10,174 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,174 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,177 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[-0.01100734 -0.01641784 -0.00558425 ... -0.00776519 -0.03945974
    -0.0213102 ]
   [ 0.00092...
[ 2018-10-17 17:08:10,177 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,177 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,178 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,178 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,178 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,178 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,178 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,181 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.92406404 -1.1827726  -0.88804907 -0.6795136  -1.0023375  -0.6964673
 -0.8097398  -0.03462777 ...
[ 2018-10-17 17:08:10,183 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-5.25547922e-01 -5.27146220e-01 -5.41076660e-01 -2.67449737e-01
 -4.68584329e-01 -2.92275161e-01...
[ 2018-10-17 17:08:10,186 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [2.4452586e-01 1.6993347e-01 2.7713969e-01 3.2262242e-01 2.2679162e-01
 3.2264379e-01 3.3682135e-...
[ 2018-10-17 17:08:10,186 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,188 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,188 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,188 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,188 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,188 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:10,188 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,189 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,189 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,189 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,189 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,189 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,189 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:10,189 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,190 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,192 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 224], value = [[[[-0.01616301 -0.04223457  0.01277434 ... -0.02384336  0.01518165
    -0.02630964]
   [ 0.00415...
[ 2018-10-17 17:08:10,193 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,193 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,193 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,193 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,193 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,193 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,193 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,196 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-4.3293560e-01 -8.7422091e-01 -5.5373734e-01 -5.3367734e-01
 -2.2476210e-01 -5.2203476e-01 -6.97...
[ 2018-10-17 17:08:10,198 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-4.76295441e-01 -2.41624445e-01 -2.26430357e-01 -2.01723188e-01
 -1.10874228e-01 -2.60133028e-01...
[ 2018-10-17 17:08:10,200 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [2.5296223e-01 2.6120782e-01 3.0381837e-01 2.9234564e-01 4.1655600e-01
 3.0571812e-01 2.7469108e-...
[ 2018-10-17 17:08:10,200 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,202 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,202 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,202 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:10,203 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,204 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,207 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 224 256], value = [[[[-0.00830247  0.03190922  0.02449294 ...  0.03224218 -0.00714508
     0.02758053]
   [ 0.00685...
[ 2018-10-17 17:08:10,207 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,207 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,207 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,207 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,207 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,207 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,208 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,210 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-1.6968179  -1.6883367  -1.3620003  -1.5885872  -1.3982474  -1.1531696
 -1.0335369  -1.6879838  ...
[ 2018-10-17 17:08:10,213 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.55841124 -0.93930393 -1.1201864  -0.9198676  -1.3055627  -1.325943
 -0.98597926 -1.0413154  -...
[ 2018-10-17 17:08:10,215 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.3851969  0.47999537 0.77361006 0.62141    0.5305952  0.8094689
 0.90023357 0.3405612  0.219874...
[ 2018-10-17 17:08:10,215 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,218 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,218 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,218 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,218 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,218 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:10,218 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,219 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,219 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,219 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,219 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,219 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,219 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,219 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,220 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,221 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[ 0.02677794  0.03570939  0.06759617 ...  0.08059346  0.01505423
     0.04548516]
   [-0.04604...
[ 2018-10-17 17:08:10,221 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,221 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,221 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,221 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,221 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,221 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,222 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,223 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.924528   -0.854598   -1.4854993  -0.7199396  -1.0290961  -0.91264147
 -0.49606168 -1.1725636 ...
[ 2018-10-17 17:08:10,225 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-3.80116761e-01 -7.82532152e-03 -1.98019773e-01 -5.05237103e-01
 -2.14623794e-01 -2.77054071e-01...
[ 2018-10-17 17:08:10,227 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [2.5977859e-01 2.4357565e-01 1.6238865e-01 3.4363419e-01 2.2438529e-01
 2.6951635e-01 4.2631468e-...
[ 2018-10-17 17:08:10,228 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,229 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,229 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,230 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,230 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,230 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,230 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,230 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,230 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,230 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,231 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,231 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,231 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:10,231 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,232 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,234 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 192 224], value = [[[[-2.2413788e-02 -4.2271361e-02 -2.0937607e-02 ...  3.3162881e-03
    -1.3678294e-02  1.3898193...
[ 2018-10-17 17:08:10,235 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,235 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,235 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,235 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,235 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,235 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,235 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,238 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [224], value = [-0.3768776  -0.2584145  -0.7716239  -1.0470338  -0.43590733 -0.63992655
 -0.20761241 -0.5831369 ...
[ 2018-10-17 17:08:10,240 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [224], value = [-1.73930764e-01 -1.48489922e-01 -3.38346153e-01 -1.25479176e-11
 -2.75044888e-01 -2.23856643e-01...
[ 2018-10-17 17:08:10,242 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [224], value = [1.89506054e-01 2.45711640e-01 1.72403470e-01 8.86446079e-16
 1.59962997e-01 1.60075665e-01 2.283...
[ 2018-10-17 17:08:10,242 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,244 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [224], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,244 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,245 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,245 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,245 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:10,245 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,245 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,245 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,246 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,246 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,246 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,246 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:10,246 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,247 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,249 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 224 256], value = [[[[ 8.51126574e-03 -2.46777460e-02 -4.41644434e-03 ...  2.33434699e-02
     6.62182039e-03  1.37...
[ 2018-10-17 17:08:10,251 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 224], value = <UNKNOWN>
[ 2018-10-17 17:08:10,251 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,252 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,252 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,252 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,252 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,252 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,255 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-1.6646174  -1.499027   -1.4461592  -1.7805058  -1.6750523  -1.7642467
 -0.98639035 -0.9940078  ...
[ 2018-10-17 17:08:10,257 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.7946003  -0.860946   -1.0803946  -0.5384647  -0.91002905 -0.79753286
 -1.0777266  -0.805386  ...
[ 2018-10-17 17:08:10,260 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.42323652 0.45881686 0.5316811  0.2650152  0.32649854 0.33528036
 0.6978301  0.66899663 0.43062...
[ 2018-10-17 17:08:10,260 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,263 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,263 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,263 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,263 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,263 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:10,263 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,264 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,264 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,264 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,264 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,264 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,264 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,264 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,265 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,266 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  384], value = [[[[ 0.04235459 -0.02898365  0.00303761 ... -0.04338591  0.00951782
    -0.01057562]
   [ 0.03885...
[ 2018-10-17 17:08:10,266 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,266 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,266 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,266 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,266 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,266 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,267 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,270 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.92900044 -1.1831608  -1.4418552  -1.205589   -1.0794283  -1.3407792
 -0.98518384 -1.0289751  ...
[ 2018-10-17 17:08:10,274 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.47758934 -0.3624011  -0.44637653 -0.39315155 -0.47752002 -0.6634665
 -0.47854686 -0.59725887 ...
[ 2018-10-17 17:08:10,278 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.3679851  0.26722574 0.21019584 0.31189126 0.31117982 0.27588984
 0.39075112 0.25448564 0.25817...
[ 2018-10-17 17:08:10,278 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,281 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,281 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,281 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,281 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,282 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,282 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,282 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,282 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,282 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,282 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,282 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,283 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_6h/concat
[ 2018-10-17 17:08:10,283 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,283 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,283 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,283 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,284 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,284 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1  17  17 128], value = <UNKNOWN>
[ 2018-10-17 17:08:10,284 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,284 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,284 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,284 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_2/MaxPool_1a_3x3/MaxPool
[ 2018-10-17 17:08:10,284 ] [ DEBUG ] [ infer:125 ]  Op: MaxPool
[ 2018-10-17 17:08:10,285 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,285 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,285 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,285 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,285 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,285 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,285 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,286 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,286 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  256], value = [[[[-0.01590487  0.00689603 -0.0171593  ... -0.014875   -0.01101844
    -0.00435727]
   [ 0.00682...
[ 2018-10-17 17:08:10,287 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,287 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,287 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,287 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,287 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,287 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,287 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,290 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.5561905  -0.69380546 -0.7529646  -0.5613836  -0.32516602 -0.59003955
 -0.5732783  -0.49150106...
[ 2018-10-17 17:08:10,293 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [ 9.88768134e-03  1.38466284e-01  1.10783450e-01 -6.83281273e-02
  2.18280867e-01  1.48087218e-01...
[ 2018-10-17 17:08:10,295 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [3.07863187e-02 2.36497521e-02 2.29183584e-02 2.96878163e-02
 4.68922742e-02 3.05495858e-02 3.098...
[ 2018-10-17 17:08:10,296 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,298 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,298 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,298 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,299 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,300 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:10,300 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,300 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,303 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   7 256 256], value = [[[[-1.90250892e-02  1.56803057e-03  2.95157009e-03 ...  8.51589793e-05
     8.98655970e-04 -1.75...
[ 2018-10-17 17:08:10,303 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,303 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,303 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,303 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,303 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,304 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,304 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,306 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.25182128 -1.0888689   0.9085155  -0.34693766 -0.20680326 -0.544956
 -0.08844137 -0.3012457  -...
[ 2018-10-17 17:08:10,309 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.12146627  0.25316194  0.26712412 -0.202439   -0.04943398  0.00350024
 -0.32834277 -0.47915795...
[ 2018-10-17 17:08:10,312 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.06099127 0.09310936 0.4045004  0.09254414 0.15030406 0.11242639
 0.13019395 0.07052135 0.10763...
[ 2018-10-17 17:08:10,312 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,314 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,314 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,314 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,315 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,315 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:10,315 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,315 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,315 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,315 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,315 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,316 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,316 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:10,316 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,316 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,319 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  7   1 256 320], value = [[[[-1.69172771e-02  2.64516100e-02  2.44975165e-02 ...  2.62467433e-02
     2.79086479e-03 -2.39...
[ 2018-10-17 17:08:10,319 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,319 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,319 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,320 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,320 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,320 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,320 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,323 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [320], value = [-0.65795404  1.0588449   0.12464035 -0.6921014   0.09718864 -0.57453436
 -0.63661927 -0.32877168...
[ 2018-10-17 17:08:10,327 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [320], value = [ 1.37428910e-01  2.57216662e-01 -1.58675253e-01 -1.49276748e-01
 -2.27839425e-01 -2.50340611e-01...
[ 2018-10-17 17:08:10,330 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [320], value = [0.24022546 0.5632738  0.23996988 0.3981356  0.25706157 0.18874784
 0.21308346 0.2144313  0.42999...
[ 2018-10-17 17:08:10,330 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,333 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,333 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,333 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,333 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,334 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:10,334 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,334 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,334 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,334 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,334 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,335 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,335 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:10,335 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,335 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,339 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   3 320 320], value = [[[[ 1.08675109e-02 -6.31782343e-04 -4.61652223e-03 ... -8.50849133e-03
    -1.92124269e-03 -1.52...
[ 2018-10-17 17:08:10,339 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,339 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,339 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,340 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,340 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,340 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,340 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,343 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [320], value = [-0.7153704  -0.78344226 -0.92339015 -0.88614887 -0.89120644 -0.1203169
 -0.77504927 -0.6668854  ...
[ 2018-10-17 17:08:10,346 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [320], value = [-1.04240274e+00 -8.17991614e-01 -4.97073531e-01 -1.39678633e+00
 -1.14701259e+00 -1.34478629e+00...
[ 2018-10-17 17:08:10,349 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [320], value = [2.4018345e+00 9.3741405e-01 1.3815575e+00 1.6289585e+00 1.2972088e+00
 5.6056714e+00 1.4511838e+...
[ 2018-10-17 17:08:10,349 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,352 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,352 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,352 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,353 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,353 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:10,353 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,353 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,353 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,353 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,353 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,354 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,354 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,354 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,354 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,355 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1024  192], value = [[[[-0.00778179 -0.01657824 -0.00760368 ...  0.03238055 -0.03429167
    -0.00997253]
   [ 0.01682...
[ 2018-10-17 17:08:10,355 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1   17   17 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,355 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,355 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,355 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,356 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,356 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,356 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,358 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-0.48126486 -0.74882585 -0.6966696  -0.63650787 -0.8254495  -0.6560278
 -0.385371   -0.6164796  ...
[ 2018-10-17 17:08:10,360 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-1.65526234e-02  7.79395029e-02  8.54931399e-02  6.62926733e-02
  5.01165390e-02 -8.47135857e-02...
[ 2018-10-17 17:08:10,362 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.05217551 0.05195262 0.04341384 0.04516232 0.02999455 0.04320522
 0.06352072 0.03496366 0.08470...
[ 2018-10-17 17:08:10,362 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,364 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,364 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,364 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,364 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,365 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,365 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,365 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,365 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,365 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,365 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,366 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,366 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:10,366 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,366 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,370 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   3 192 192], value = [[[[-4.02401527e-03 -2.67852414e-02  8.76185484e-03 ...  8.44625849e-03
    -9.01712477e-03  2.34...
[ 2018-10-17 17:08:10,370 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1  17  17 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,370 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,370 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,370 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,370 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,371 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,371 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,373 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [192], value = [-1.1132393  -0.8160524  -0.9443448  -0.76804453 -0.88616025 -0.86501276
 -1.0226306  -0.9290335 ...
[ 2018-10-17 17:08:10,375 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [192], value = [-4.41709489e-01 -1.20987818e-01 -1.78264137e-02 -3.46913755e-01
 -3.44228625e-01 -3.27365726e-01...
[ 2018-10-17 17:08:10,377 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [192], value = [0.08731899 0.07081667 0.05604791 0.08278736 0.08565908 0.07926466
 0.07303413 0.09008326 0.06547...
[ 2018-10-17 17:08:10,377 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,379 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,379 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,379 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,379 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,379 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:10,379 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,379 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,380 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,380 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,380 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,380 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,380 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7a/concat
[ 2018-10-17 17:08:10,380 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,381 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,381 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 192], value = <UNKNOWN>
[ 2018-10-17 17:08:10,381 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 320], value = <UNKNOWN>
[ 2018-10-17 17:08:10,381 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [   1    8    8 1024], value = <UNKNOWN>
[ 2018-10-17 17:08:10,381 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,381 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,382 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,382 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:10,382 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:10,382 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,382 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,382 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,382 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,383 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,383 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:10,383 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,383 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,384 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  256], value = [[[[-0.018963   -0.01494924  0.02750422 ... -0.0163321   0.01724398
    -0.01697449]
   [ 0.02747...
[ 2018-10-17 17:08:10,384 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,384 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,384 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,384 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,385 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,385 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,385 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,388 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.21392815 -0.38990498 -0.30298248 -0.30721447 -0.20533642 -0.401173
 -0.11655731 -0.134184   -...
[ 2018-10-17 17:08:10,390 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.1348572  -0.5292951  -0.32358962 -0.5302194  -0.38924643 -0.32735196
 -0.10431354 -0.03518112...
[ 2018-10-17 17:08:10,393 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.42019576 0.3745831  0.32771796 0.39694285 0.4238882  0.2555164
 0.39004225 0.5241786  0.570754...
[ 2018-10-17 17:08:10,393 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,395 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,395 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,395 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,396 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,396 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:10,396 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,396 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,396 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,396 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,396 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,397 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,397 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,397 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,397 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,398 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  384], value = [[[[-1.8869791e-02 -1.4344933e-02 -2.1337934e-03 ...  2.6662936e-02
    -1.9009842e-02  4.4348859...
[ 2018-10-17 17:08:10,398 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,398 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,398 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,398 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,398 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,399 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,399 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,403 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [ 0.00577097 -0.6287519  -0.9563988  -0.7406283  -0.39780334 -0.95966536
 -0.3693896  -0.69510573...
[ 2018-10-17 17:08:10,407 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-3.93693477e-01 -4.96077269e-01 -2.31433541e-01 -3.49327654e-01
 -7.15743363e-01 -2.95814145e-02...
[ 2018-10-17 17:08:10,410 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [4.00774330e-01 1.75346836e-01 1.23903655e-01 1.59492388e-01
 2.55144715e-01 1.04853459e-01 2.135...
[ 2018-10-17 17:08:10,410 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,414 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,414 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,414 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,414 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,415 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,415 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,415 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,415 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,415 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,415 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,415 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,416 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:10,416 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,416 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,418 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 384 448], value = [[[[ 0.01253476  0.00274308 -0.00071762 ... -0.0118639  -0.00634832
    -0.00812522]
   [ 0.00705...
[ 2018-10-17 17:08:10,418 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,418 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,418 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,418 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,418 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,418 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,419 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,423 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [448], value = [-0.6893904  -0.5486742  -0.6311651  -0.62071645 -0.6878779  -0.6505653
 -0.44120744 -0.6030752  ...
[ 2018-10-17 17:08:10,427 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [448], value = [-1.19344378e-02 -1.64210513e-01 -2.80113034e-02 -1.61539003e-01
 -1.01073936e-01 -2.11768046e-01...
[ 2018-10-17 17:08:10,431 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [448], value = [8.66576806e-02 7.89766163e-02 9.04506743e-02 7.48383701e-02
 6.86343983e-02 7.12401345e-02 9.818...
[ 2018-10-17 17:08:10,432 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,435 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,436 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,436 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,436 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,436 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Relu
[ 2018-10-17 17:08:10,436 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,436 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,437 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,437 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,437 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,437 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,437 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:10,437 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,438 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,439 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 448 512], value = [[[[-0.01255449  0.01709452  0.002831   ...  0.00167222  0.00735806
     0.01866792]
   [ 0.01194...
[ 2018-10-17 17:08:10,439 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,439 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,439 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,440 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,440 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,440 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,440 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,445 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [512], value = [-0.6094026  -0.5824122  -0.904478   -0.32497078 -0.72265035 -0.44175556
 -0.59937847 -0.02397401...
[ 2018-10-17 17:08:10,450 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [512], value = [-0.39142364 -0.09757259 -0.18451945 -0.27210048 -0.257515   -0.39765978
 -0.19383816 -0.4957968 ...
[ 2018-10-17 17:08:10,455 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [512], value = [0.12107147 0.12791659 0.0913595  0.14391439 0.15550944 0.18733214
 0.12798378 0.23542978 0.10585...
[ 2018-10-17 17:08:10,455 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,460 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [512], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,460 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,460 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,460 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,460 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu
[ 2018-10-17 17:08:10,460 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,461 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,461 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,461 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,461 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,461 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,461 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:10,461 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,462 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,463 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 512 256], value = [[[[ 0.01262461  0.00738073 -0.00080548 ... -0.01389156 -0.00242363
    -0.01244496]
   [-0.01522...
[ 2018-10-17 17:08:10,463 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,464 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,464 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,464 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,464 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,464 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,464 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,467 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.99333537 -1.0517861  -1.1531556  -1.0148821  -1.1497964  -0.88280684
 -0.9784598  -0.8758733 ...
[ 2018-10-17 17:08:10,470 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.28272808 -0.6773306  -0.7234362  -0.44319573 -0.53475857 -0.4123398
 -0.2706308  -0.7447871  ...
[ 2018-10-17 17:08:10,472 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.37531602 0.27260152 0.2980423  0.31398678 0.3143498  0.26489043
 0.35199094 0.39745826 0.34887...
[ 2018-10-17 17:08:10,472 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,474 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,474 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,475 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,475 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,475 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Relu
[ 2018-10-17 17:08:10,475 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,475 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,475 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,475 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,476 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,476 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,476 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:10,476 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,476 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,478 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 512 256], value = [[[[ 6.93457853e-03 -2.48428583e-02 -3.37159098e-03 ...  6.80177379e-03
    -5.68386447e-03 -1.26...
[ 2018-10-17 17:08:10,478 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,478 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,478 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,478 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,479 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,479 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,479 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,481 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-1.3616585  -1.2405156  -1.1310031  -1.0678638  -0.8695037  -0.92698956
 -1.3992342  -1.1131537 ...
[ 2018-10-17 17:08:10,484 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.38916385 -0.47918096 -0.45999688 -0.58110344 -0.5144229  -0.3435873
 -0.61347157 -0.48683673 ...
[ 2018-10-17 17:08:10,487 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.16633296 0.23386468 0.1840466  0.23513438 0.25784498 0.42099988
 0.21302892 0.26776204 0.24692...
[ 2018-10-17 17:08:10,487 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,489 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,489 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,490 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,490 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,490 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Relu
[ 2018-10-17 17:08:10,490 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,490 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,490 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,490 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,491 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,491 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,491 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/concat
[ 2018-10-17 17:08:10,491 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,491 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,491 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,492 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,492 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,492 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,492 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,492 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,492 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,493 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,493 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  384], value = [[[[ 0.01067282  0.0117742   0.03999854 ...  0.01644378 -0.00086334
     0.00754785]
   [-0.00308...
[ 2018-10-17 17:08:10,494 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,494 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,494 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,494 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,494 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,494 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,494 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,498 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.6279998  -0.7429018  -1.0814799  -0.6219153  -0.60670865 -0.48151392
 -0.68203294 -0.5806569 ...
[ 2018-10-17 17:08:10,502 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.22423911 -0.28037375 -0.39454937 -0.20088825 -0.26748198 -0.31471336
 -0.2725553  -0.2588282 ...
[ 2018-10-17 17:08:10,505 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.27586758 0.20518368 0.18325208 0.26199824 0.2808853  0.37137237
 0.23579486 0.272721   0.28365...
[ 2018-10-17 17:08:10,505 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,509 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,509 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,509 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,509 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,509 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,509 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,509 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,510 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,510 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,510 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,510 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,510 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:10,510 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,511 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,512 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 384 256], value = [[[[-0.0335865   0.02773693 -0.00848984 ... -0.0232874   0.00510104
    -0.0070675 ]
   [ 0.01204...
[ 2018-10-17 17:08:10,512 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,513 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,513 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,513 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,513 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,513 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,513 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,516 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.8664136  -0.85749257 -0.8890697  -0.9418401  -1.1030762  -0.92528445
 -1.0656852  -1.0699294 ...
[ 2018-10-17 17:08:10,518 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.32915    -0.350342   -0.38093215 -0.38147306 -0.28586695 -0.4333715
 -0.31425476 -0.24408594 ...
[ 2018-10-17 17:08:10,521 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.11993154 0.12656425 0.11604875 0.11624298 0.0998244  0.12718682
 0.09088884 0.08966991 0.10077...
[ 2018-10-17 17:08:10,521 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,523 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,523 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,523 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,523 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Relu
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:10,524 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,525 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,526 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 384 256], value = [[[[-0.0110214  -0.00263491  0.03234636 ... -0.0297055  -0.00285233
     0.02424841]
   [ 0.00012...
[ 2018-10-17 17:08:10,526 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,527 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,527 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,527 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,527 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,527 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,527 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,530 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-1.075881   -1.2438622  -1.2205484  -1.1066525  -1.2719624  -1.2461467
 -1.057954   -1.4118251  ...
[ 2018-10-17 17:08:10,532 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.30941853 -0.1765109  -0.22087575 -0.27693278 -0.45505086 -0.38149276
 -0.2771428  -0.31482747...
[ 2018-10-17 17:08:10,535 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.10158737 0.0891982  0.10123637 0.11982751 0.09375563 0.10081545
 0.10542177 0.08553531 0.12531...
[ 2018-10-17 17:08:10,535 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,538 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,538 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,538 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,538 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,538 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu
[ 2018-10-17 17:08:10,538 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,539 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,539 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,539 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,539 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,539 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,539 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/concat
[ 2018-10-17 17:08:10,539 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,540 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,540 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,540 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,540 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,540 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,541 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,541 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,541 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,541 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,542 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  256], value = [[[[-0.01928474  0.02096531  0.01840412 ... -0.02468713 -0.03121971
     0.0166719 ]
   [-0.00035...
[ 2018-10-17 17:08:10,542 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,542 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,542 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,543 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,543 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,543 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,543 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,546 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.59489876 -0.6026037  -0.5493074  -0.7462568  -0.7671857  -0.7266109
 -0.7856172  -0.8324098  ...
[ 2018-10-17 17:08:10,548 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.23800242 -0.08045782 -0.39932048 -0.12404375 -0.31725892 -0.07683467
  0.07466877 -0.02743703...
[ 2018-10-17 17:08:10,551 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.27217647 0.20614368 0.3261929  0.22599712 0.2355098  0.25311118
 0.1948405  0.20834647 0.26172...
[ 2018-10-17 17:08:10,551 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,553 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,553 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,554 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,554 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,554 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,554 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,554 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,554 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,555 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,555 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,555 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,555 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7b/concat
[ 2018-10-17 17:08:10,555 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,556 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,556 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,556 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,556 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,556 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,556 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,557 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,558 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,558 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:10,558 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,558 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,559 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  256], value = [[[[-0.01901447  0.00294889 -0.0364994  ... -0.02535847 -0.01083574
     0.01631047]
   [-0.01509...
[ 2018-10-17 17:08:10,559 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,559 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,559 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,559 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,559 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,560 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,560 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,562 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.4845695  -0.7337079  -0.4763493  -0.502294   -0.51418877 -0.55785084
 -0.4771053  -0.42712313...
[ 2018-10-17 17:08:10,565 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.6483234  -0.76604587 -0.5924977  -0.60774255 -0.9497231  -0.74807525
 -0.7793994  -0.8469123 ...
[ 2018-10-17 17:08:10,567 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.24140078 0.17680027 0.24394228 0.22432138 0.30673146 0.21932563
 0.27110302 0.24577783 0.15753...
[ 2018-10-17 17:08:10,567 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,569 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,570 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,570 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,570 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,570 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:10,570 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,570 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,570 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,571 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,571 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,571 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,571 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,571 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,571 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,572 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  384], value = [[[[-0.03766451 -0.02165084  0.01452251 ... -0.00758728 -0.03304804
     0.00978268]
   [ 0.04517...
[ 2018-10-17 17:08:10,572 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,573 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,573 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,573 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,573 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,573 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,573 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,577 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.76692456 -0.59078276 -1.1599889  -0.90909195 -1.1465093  -1.0442735
 -0.933296   -0.25407782 ...
[ 2018-10-17 17:08:10,580 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.6214013  -0.728307   -0.6712811  -0.49108067 -0.48287463 -0.5081376
 -0.453238   -0.46860325 ...
[ 2018-10-17 17:08:10,584 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.177099   0.2922354  0.12817512 0.1372965  0.11985326 0.09371297
 0.11362964 0.77944124 0.18466...
[ 2018-10-17 17:08:10,584 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,588 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,588 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,588 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,588 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,588 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,589 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,589 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,589 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,589 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,589 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,590 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,590 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:10,590 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,590 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,592 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 384 448], value = [[[[-0.0277449  -0.02373698  0.01522104 ...  0.03995393 -0.00496537
     0.00500571]
   [ 0.00402...
[ 2018-10-17 17:08:10,592 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,592 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,592 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,593 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,593 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,593 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,593 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,597 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [448], value = [ 0.06900749 -0.5309066  -0.14138775 -0.48252618 -0.33316445 -0.57383853
 -0.953265   -0.31861246...
[ 2018-10-17 17:08:10,602 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [448], value = [ 2.81672925e-02 -8.09103623e-02 -1.01587288e-01 -1.29857823e-01
 -1.58707932e-01 -1.61226258e-01...
[ 2018-10-17 17:08:10,607 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [448], value = [0.07489449 0.0364106  0.06043907 0.04587927 0.0450789  0.02369733
 0.02397925 0.04189726 0.04444...
[ 2018-10-17 17:08:10,608 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,613 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,613 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,613 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,613 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,613 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Relu
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:10,614 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,615 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,616 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 448 512], value = [[[[-0.01724984 -0.00353622  0.00368262 ... -0.00685957 -0.00200692
     0.00358794]
   [ 0.02994...
[ 2018-10-17 17:08:10,617 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,617 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,617 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,617 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,617 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,617 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,617 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,623 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [512], value = [-1.71452388e-01 -4.51206625e-01 -7.41347373e-01 -6.22129321e-01
 -6.84882030e-02 -2.11680070e-01...
[ 2018-10-17 17:08:10,628 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [512], value = [-3.27078968e-01 -4.40488189e-01 -2.46913344e-01 -4.21960026e-01
 -2.41126865e-01 -2.40465000e-01...
[ 2018-10-17 17:08:10,633 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [512], value = [0.10884137 0.10870634 0.08717357 0.09966792 0.08885535 0.12634996
 0.19419132 0.15281615 0.07477...
[ 2018-10-17 17:08:10,633 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,637 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [512], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,638 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,638 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,638 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,638 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu
[ 2018-10-17 17:08:10,638 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,639 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,639 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,639 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,639 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,639 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,639 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:10,639 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,640 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,641 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 512 256], value = [[[[-0.0043298   0.01560501 -0.02275182 ... -0.01309199  0.03767671
    -0.01016976]
   [-0.02140...
[ 2018-10-17 17:08:10,642 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,642 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,642 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,642 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,642 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,642 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,643 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,645 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.10177559 -1.3313867  -0.8722212  -0.6585279  -0.82259953 -0.852047
 -0.9781286  -0.5922839  -...
[ 2018-10-17 17:08:10,648 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.90521514 -0.04922899 -0.93849576 -0.84196365 -0.7784026  -0.69877094
 -0.4580446  -0.50861585...
[ 2018-10-17 17:08:10,653 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [2.8552177  0.16084392 0.6267853  0.91613686 0.49389458 0.39205307
 0.33522564 0.546669   0.50810...
[ 2018-10-17 17:08:10,653 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,655 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,655 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,656 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,656 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,656 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Relu
[ 2018-10-17 17:08:10,656 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,656 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,656 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,657 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,657 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,657 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,657 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:10,657 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,658 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,659 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 512 256], value = [[[[-2.33203988e-03 -8.48736055e-03 -2.05005948e-02 ... -1.19117619e-02
    -1.11228246e-02 -1.35...
[ 2018-10-17 17:08:10,659 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,660 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,660 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,660 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,660 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,660 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,660 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,663 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.6229504  -0.39970604 -0.531314   -0.65978134 -0.5113057  -0.57991344
 -0.5188531  -0.63202095...
[ 2018-10-17 17:08:10,666 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-6.94550157e-01 -1.08322084e+00 -1.05295944e+00 -4.98556852e-01
 -1.02784133e+00 -7.76589394e-01...
[ 2018-10-17 17:08:10,669 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [9.15552199e-01 1.24887133e+00 8.75362337e-01 6.42276704e-01
 1.30063975e+00 8.64127457e-01 9.976...
[ 2018-10-17 17:08:10,669 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,671 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,671 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,671 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,672 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,672 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Relu
[ 2018-10-17 17:08:10,672 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,672 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,672 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,672 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,673 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,673 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,673 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/concat
[ 2018-10-17 17:08:10,673 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,673 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,674 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,674 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,674 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,674 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,674 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,675 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,675 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,675 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,676 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  384], value = [[[[ 0.03506783 -0.02648014  0.00054801 ...  0.00189128 -0.0015596
     0.03504766]
   [ 0.014253...
[ 2018-10-17 17:08:10,676 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,676 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,677 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,677 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,677 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,677 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,677 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,681 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.7219342  -0.630668   -0.53758717 -0.5883135  -0.69522685 -0.7510499
 -0.87755555 -0.62508416 ...
[ 2018-10-17 17:08:10,685 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.5554926  -0.46063918 -0.37230682 -0.33491424 -0.45936063 -0.43324643
 -0.40956897 -0.4171348 ...
[ 2018-10-17 17:08:10,691 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.15544961 0.16081223 0.16703877 0.12448071 0.21433048 0.12863596
 0.11340557 0.18295974 0.15763...
[ 2018-10-17 17:08:10,691 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,695 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,695 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,695 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,695 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,695 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,695 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,695 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,696 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,696 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,696 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,696 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,696 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:10,696 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,697 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,698 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 384 256], value = [[[[-1.36816353e-02 -2.21598353e-02 -2.04011775e-03 ...  1.05562713e-02
     1.06204888e-02 -2.98...
[ 2018-10-17 17:08:10,698 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,699 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,699 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,699 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,699 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,699 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,699 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,702 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-1.1309779  -1.048518   -0.9281837  -1.1560886  -1.0809125  -1.3486801
 -1.1603192  -0.88504887 ...
[ 2018-10-17 17:08:10,704 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.33554217 -0.50197864 -0.4474669  -0.3886148  -0.49119827 -0.43795693
 -0.35288787 -0.49462712...
[ 2018-10-17 17:08:10,708 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.09552272 0.11839906 0.1438469  0.08381054 0.11837944 0.07438774
 0.09587972 0.13124232 0.12829...
[ 2018-10-17 17:08:10,708 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,710 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,710 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,711 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,711 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,711 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu
[ 2018-10-17 17:08:10,711 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,711 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,711 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,711 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,712 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,712 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,712 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:10,712 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,712 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,714 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 384 256], value = [[[[ 1.10592684e-02  1.02287531e-02  1.39813237e-02 ... -1.05684716e-02
    -7.88368471e-03 -9.78...
[ 2018-10-17 17:08:10,714 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,714 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,714 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,714 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,714 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,715 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,715 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,717 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-1.1889893  -1.003628   -1.0936838  -1.1278186  -1.2658876  -1.3942446
 -1.0256842  -1.0218872  ...
[ 2018-10-17 17:08:10,720 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.48903358 -0.5355299  -0.5774431  -0.50688416 -0.48374593 -0.35805824
 -0.6323919  -0.5501356 ...
[ 2018-10-17 17:08:10,723 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.11027678 0.13375619 0.14049092 0.10639539 0.07499601 0.07820928
 0.13192828 0.12322044 0.11000...
[ 2018-10-17 17:08:10,723 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,725 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,725 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,726 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,726 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,726 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu
[ 2018-10-17 17:08:10,726 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,726 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,726 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,726 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,727 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,727 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,727 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/concat
[ 2018-10-17 17:08:10,727 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,727 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,727 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,727 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,728 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,728 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,728 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,728 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,728 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,729 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,729 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  256], value = [[[[ 0.00410844 -0.00375098  0.01750448 ... -0.02337129 -0.01220165
    -0.01471435]
   [-0.00657...
[ 2018-10-17 17:08:10,730 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,730 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,730 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,730 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,730 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,730 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,730 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,734 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.74584186 -0.79772353 -0.6872287  -0.81553626 -0.7035165  -0.6260223
 -0.35579658 -0.5762954  ...
[ 2018-10-17 17:08:10,736 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.46238178 -0.5105996  -0.6534409  -0.5107123  -0.67013276 -0.78992176
 -0.39408994 -0.6615679 ...
[ 2018-10-17 17:08:10,739 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.17947038 0.19515082 0.1721528  0.17976454 0.22842485 0.31699613
 0.355191   0.23653518 0.17125...
[ 2018-10-17 17:08:10,739 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,741 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,741 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,741 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,742 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,742 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,742 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,742 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,742 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,742 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,742 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,743 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,743 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7c/concat
[ 2018-10-17 17:08:10,743 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,743 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,744 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,744 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,744 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,744 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,744 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,744 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,744 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,745 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:10,745 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:10,745 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,745 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,745 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,745 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,745 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,746 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:10,746 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,746 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,747 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  256], value = [[[[ 0.04592107 -0.00430723 -0.00629159 ...  0.00186107 -0.02740753
     0.01227907]
   [-0.00657...
[ 2018-10-17 17:08:10,747 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,747 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,747 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,748 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,748 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,748 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,748 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,751 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.08605138 -0.03584268 -0.06559272 -0.01508238 -0.03981678  0.00383717
 -0.04347052 -0.18306531...
[ 2018-10-17 17:08:10,753 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.03853315 -0.04259018  0.1033567  -0.02128715  0.02474627  0.00140465
  0.0260533  -0.08066642...
[ 2018-10-17 17:08:10,755 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.02558174 0.02048639 0.01980754 0.02484963 0.02221248 0.01633101
 0.01736439 0.02132616 0.03019...
[ 2018-10-17 17:08:10,756 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,758 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,758 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,758 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,758 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,758 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:10,758 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,759 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,759 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,759 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,759 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,759 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,759 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,759 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,760 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,760 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  384], value = [[[[ 0.01437153  0.04230596  0.03605057 ...  0.00920672  0.01225351
     0.02048896]
   [-0.01301...
[ 2018-10-17 17:08:10,760 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,761 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,761 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,761 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,761 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,761 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,761 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,765 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-0.76711357 -0.64458716 -0.8298776  -0.7281132  -0.7073587  -0.71364504
 -0.6917675  -0.7106947 ...
[ 2018-10-17 17:08:10,769 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.25960317 -0.4346543  -0.43518406 -0.07718933 -0.3247816  -0.34129786
 -0.3306712  -0.36809924...
[ 2018-10-17 17:08:10,773 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.08056553 0.07217974 0.06836148 0.05979759 0.05831439 0.06881166
 0.09689742 0.07466856 2.62337...
[ 2018-10-17 17:08:10,773 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,776 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,777 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,778 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,778 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,778 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:10,778 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,778 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,780 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 384 448], value = [[[[-0.00110455 -0.0048446   0.00561695 ...  0.00546288 -0.02418891
    -0.01923557]
   [ 0.01491...
[ 2018-10-17 17:08:10,780 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,780 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,780 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,780 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,780 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,780 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,781 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,785 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [448], value = [-5.3627038e-01 -7.9699326e-01 -4.8410615e-01 -4.6397686e-01
 -6.1329305e-01 -9.2447180e-01 -5.35...
[ 2018-10-17 17:08:10,789 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [448], value = [-0.25956753 -0.20351271 -0.19538318 -0.27841473 -0.19877438 -0.15832187
 -0.19365884 -0.12406829...
[ 2018-10-17 17:08:10,793 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [448], value = [0.07484727 0.05105705 0.08121999 0.07057815 0.0812702  0.05058024
 0.07066348 0.04949147 0.06885...
[ 2018-10-17 17:08:10,793 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,797 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,797 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,797 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,798 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,798 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Relu
[ 2018-10-17 17:08:10,798 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,798 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,798 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,798 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,798 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,799 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,799 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:10,799 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,799 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 448 512], value = [[[[-8.93412717e-03 -2.50257403e-02 -2.49707233e-02 ... -1.36484473e-03
    -1.04995370e-02 -1.58...
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 448], value = <UNKNOWN>
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,801 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,806 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [512], value = [-0.79834133 -0.78811336 -0.74754417 -1.1139306  -0.70142865 -0.5423366
 -0.8736983  -0.6907582  ...
[ 2018-10-17 17:08:10,811 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [512], value = [-0.37335718 -0.50826436 -0.5429887  -0.31758916 -0.5650168  -0.5401243
 -0.5099788  -0.4232624  ...
[ 2018-10-17 17:08:10,816 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [512], value = [0.12512566 0.12676556 0.22888169 0.08847647 0.18395026 0.14699705
 0.11841959 0.11558428 0.16683...
[ 2018-10-17 17:08:10,816 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,821 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [512], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,821 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,821 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,821 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,821 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Relu
[ 2018-10-17 17:08:10,821 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,822 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,822 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,822 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,822 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,822 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,822 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:10,822 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,823 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,824 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 512 256], value = [[[[-1.93694085e-02 -5.16813481e-03  3.22035211e-03 ...  2.22257655e-02
    -4.21590917e-03 -1.24...
[ 2018-10-17 17:08:10,824 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,824 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,825 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,825 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,825 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,825 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,825 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,827 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.15764204 -0.24766263 -0.2537846  -0.19052427 -0.12319073 -0.15827039
 -0.2908034  -0.27628863...
[ 2018-10-17 17:08:10,830 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-1.29539847e-01 -2.32386425e-01 -4.41097468e-02 -1.53548151e-01
  2.07472146e-02  1.67391282e-02...
[ 2018-10-17 17:08:10,832 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.06995486 0.05626905 0.064803   0.06771526 0.13791265 0.10547176
 0.13200374 0.07248411 0.10668...
[ 2018-10-17 17:08:10,833 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,835 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,835 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,835 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Relu
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:10,836 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,837 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,838 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 512 256], value = [[[[ 5.09019941e-04 -1.33452739e-03  9.00526356e-04 ... -1.31640434e-02
    -3.40717868e-03 -6.75...
[ 2018-10-17 17:08:10,838 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,839 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,839 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,839 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,839 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,839 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,839 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,842 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.3044945  -0.23206867 -0.12373646 -0.22004452 -0.27506995 -0.24766333
 -0.24109691 -0.21483508...
[ 2018-10-17 17:08:10,844 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-1.21341810e-01  4.18589450e-02 -1.68773770e-01  5.58064952e-02
 -1.48778036e-02 -1.73930451e-01...
[ 2018-10-17 17:08:10,847 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.08391583 0.15755858 0.09498972 0.14496742 0.09298485 0.08788251
 0.09017254 0.08743858 0.12081...
[ 2018-10-17 17:08:10,848 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,851 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,851 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,852 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,852 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,852 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Relu
[ 2018-10-17 17:08:10,852 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,852 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,852 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,853 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,853 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,853 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,853 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/concat
[ 2018-10-17 17:08:10,853 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,853 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,854 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,854 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,854 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,854 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,854 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,854 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,855 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,855 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,856 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  384], value = [[[[ 0.00127446  0.0016062  -0.00903321 ...  0.03882834 -0.01402953
     0.01680521]
   [-0.00666...
[ 2018-10-17 17:08:10,856 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,856 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,856 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,856 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,857 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,857 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,857 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,861 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [384], value = [-1.0768168  -0.888822   -0.86637527 -0.59088033 -0.85087    -1.766065
 -0.6754596  -1.5137554  -...
[ 2018-10-17 17:08:10,865 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [384], value = [-0.25177655 -0.35628152 -0.2798706  -0.45267957 -0.3481113  -0.08190811
 -0.44119093 -0.24762236...
[ 2018-10-17 17:08:10,869 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [384], value = [0.06547704 0.07267802 0.05962871 0.0938967  0.09570397 0.03214364
 0.11510604 0.04718731 0.05872...
[ 2018-10-17 17:08:10,869 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,872 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,872 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,873 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,873 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,873 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,873 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,873 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,874 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,874 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,874 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,874 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,874 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:10,874 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,875 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,876 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  3   1 384 256], value = [[[[-0.00891177 -0.00717202 -0.00061267 ... -0.00432054 -0.00720912
    -0.00093468]
   [ 0.00132...
[ 2018-10-17 17:08:10,877 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,877 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,877 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,877 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,877 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,878 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,878 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,880 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.08247861 -0.09218455 -0.0691449  -0.02805036 -0.05411441 -0.05490113
 -0.05022158 -0.09854688...
[ 2018-10-17 17:08:10,883 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-0.00255724 -0.00185784 -0.02834255  0.02957669  0.01210772  0.01485071
 -0.05001049 -0.02235144...
[ 2018-10-17 17:08:10,886 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.03300449 0.02567113 0.01929583 0.03777151 0.02886693 0.0237996
 0.03133319 0.02394667 0.033558...
[ 2018-10-17 17:08:10,886 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,890 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,890 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,890 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,890 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,890 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Relu
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:10,891 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,892 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,893 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   3 384 256], value = [[[[ 6.4396620e-04  2.8216718e-03  5.8225607e-03 ...  7.2173402e-03
    -4.9547846e-03 -2.5806554...
[ 2018-10-17 17:08:10,894 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 384], value = <UNKNOWN>
[ 2018-10-17 17:08:10,894 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,894 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,894 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,894 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,894 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,894 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,898 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.04472354 -0.10106947 -0.05173438 -0.11731727 -0.12875421 -0.12604171
 -0.11073586 -0.03238529...
[ 2018-10-17 17:08:10,901 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [-4.02674731e-03  3.74747664e-02  9.54197999e-03  1.44125484e-02
  2.18018293e-02 -1.21322814e-02...
[ 2018-10-17 17:08:10,904 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.0304961  0.02650052 0.03865824 0.02696037 0.02505458 0.02266331
 0.03045039 0.03049611 0.03232...
[ 2018-10-17 17:08:10,904 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,906 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,906 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,906 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,907 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,907 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Relu
[ 2018-10-17 17:08:10,907 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,907 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,907 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,907 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,908 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,908 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,908 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/concat
[ 2018-10-17 17:08:10,908 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,908 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,909 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,909 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,909 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,909 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,909 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,909 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:10,909 ] [ DEBUG ] [ infer:125 ]  Op: Conv2D
[ 2018-10-17 17:08:10,910 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,911 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [   1    1 1536  256], value = [[[[-0.01208204 -0.00359574 -0.00588685 ... -0.00320898 -0.00519619
     0.00396423]
   [ 0.01342...
[ 2018-10-17 17:08:10,911 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,911 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,911 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,911 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,912 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:10,912 ] [ DEBUG ] [ infer:125 ]  Op: FusedBatchNorm
[ 2018-10-17 17:08:10,912 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,915 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [256], value = [-0.22416933 -0.16202544 -0.2338481  -0.1400785  -0.15347676 -0.13462678
 -0.1895383  -0.14656821...
[ 2018-10-17 17:08:10,917 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [256], value = [ 2.07876042e-02  4.93068025e-02 -3.97116691e-02  2.96810530e-02
  6.99523464e-02 -2.79375929e-02...
[ 2018-10-17 17:08:10,920 ] [ DEBUG ] [ infer:39 ]  input[4]: shape = [256], value = [0.03238899 0.02489093 0.02518862 0.02345413 0.02584101 0.02481844
 0.0163673  0.02459316 0.02494...
[ 2018-10-17 17:08:10,920 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,922 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [256], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
 1. 1. 1. 1. 1. 1. 1. 1....
[ 2018-10-17 17:08:10,923 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,923 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,923 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,923 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:10,923 ] [ DEBUG ] [ infer:125 ]  Op: Relu
[ 2018-10-17 17:08:10,923 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,924 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,924 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,924 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,924 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,924 ] [ DEBUG ] [ infer:124 ]  Partial infer for InceptionV4_1/InceptionV4/Mixed_7d/concat
[ 2018-10-17 17:08:10,924 ] [ DEBUG ] [ infer:125 ]  Op: ConcatV2
[ 2018-10-17 17:08:10,925 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,925 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,925 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,925 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [  1   8   8 512], value = <UNKNOWN>
[ 2018-10-17 17:08:10,925 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [  1   8   8 256], value = <UNKNOWN>
[ 2018-10-17 17:08:10,925 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/AvgPool_1a_out/AvgPool
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:125 ]  Op: AvgPool
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    8    8 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,926 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1    1    1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,927 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,927 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/Reshape
[ 2018-10-17 17:08:10,927 ] [ DEBUG ] [ infer:125 ]  Op: Reshape
[ 2018-10-17 17:08:10,927 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,927 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1    1    1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,927 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [2], value = [  -1 1536]
[ 2018-10-17 17:08:10,927 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/Dropout_1b_out/Identity
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:125 ]  Op: Identity
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,928 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,929 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,929 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/Shape
[ 2018-10-17 17:08:10,929 ] [ DEBUG ] [ infer:125 ]  Op: Shape
[ 2018-10-17 17:08:10,929 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,929 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,929 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,929 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [2], value = [   1 1536]
[ 2018-10-17 17:08:10,930 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,930 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice
[ 2018-10-17 17:08:10,930 ] [ DEBUG ] [ infer:125 ]  Op: StridedSlice
[ 2018-10-17 17:08:10,930 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,931 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [2], value = [   1 1536]
[ 2018-10-17 17:08:10,931 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [1], value = [0]
[ 2018-10-17 17:08:10,931 ] [ DEBUG ] [ infer:39 ]  input[2]: shape = [1], value = [1]
[ 2018-10-17 17:08:10,931 ] [ DEBUG ] [ infer:39 ]  input[3]: shape = [1], value = [1]
[ 2018-10-17 17:08:10,931 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,931 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [], value = 1
[ 2018-10-17 17:08:10,932 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,932 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/ExpandDims_
[ 2018-10-17 17:08:10,932 ] [ DEBUG ] [ infer:125 ]  Op: ExpandDims
[ 2018-10-17 17:08:10,932 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,932 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [], value = 1
[ 2018-10-17 17:08:10,932 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,933 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [1], value = [1]
[ 2018-10-17 17:08:10,933 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,933 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/Concat_
[ 2018-10-17 17:08:10,933 ] [ DEBUG ] [ infer:125 ]  Op: Concat
[ 2018-10-17 17:08:10,933 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,934 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [1], value = [1]
[ 2018-10-17 17:08:10,934 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [1], value = [-1]
[ 2018-10-17 17:08:10,934 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,934 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [2], value = [ 1 -1]
[ 2018-10-17 17:08:10,935 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,935 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/PreLogitsFlatten_out/flatten/Reshape
[ 2018-10-17 17:08:10,935 ] [ DEBUG ] [ infer:125 ]  Op: Reshape
[ 2018-10-17 17:08:10,935 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,935 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,935 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [2], value = [ 1 -1]
[ 2018-10-17 17:08:10,936 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,936 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [   1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,936 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,936 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/Logits_out/MatMul
[ 2018-10-17 17:08:10,936 ] [ DEBUG ] [ infer:125 ]  Op: MatMul
[ 2018-10-17 17:08:10,936 ] [ DEBUG ] [ matmul:25 ]  matmul shapes: [array([   1, 1536]), array([1536,   10])]
[ 2018-10-17 17:08:10,937 ] [ DEBUG ] [ matmul:44 ]  shape_tuple: (array([1]), array([10]))
[ 2018-10-17 17:08:10,937 ] [ DEBUG ] [ matmul:47 ]  matmul shape: [ 1 10]
[ 2018-10-17 17:08:10,937 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,938 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [1536   10], value = [[ 0.03200442  0.03990884  0.0027942  ...  0.03258949 -0.02321605
  -0.02273106]
 [-0.06121448 -0...
[ 2018-10-17 17:08:10,938 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [   1 1536], value = <UNKNOWN>
[ 2018-10-17 17:08:10,938 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,938 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 10], value = <UNKNOWN>
[ 2018-10-17 17:08:10,938 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,938 ] [ DEBUG ] [ infer:124 ]  Partial infer for Logits_out_1/Logits_out/BiasAdd
[ 2018-10-17 17:08:10,939 ] [ DEBUG ] [ infer:125 ]  Op: Add
[ 2018-10-17 17:08:10,939 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,939 ] [ DEBUG ] [ infer:39 ]  input[1]: shape = [10], value = [-0.00346896 -0.00165675  0.00117246  0.00044329 -0.00347213  0.00273015
  0.00143387  0.00218477...
[ 2018-10-17 17:08:10,939 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 10], value = <UNKNOWN>
[ 2018-10-17 17:08:10,939 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 10], value = <UNKNOWN>
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:123 ]  --------------------
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:124 ]  Partial infer for Predictions
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:125 ]  Op: Softmax
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:136 ]  Inputs:
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:39 ]  input[0]: shape = [ 1 10], value = <UNKNOWN>
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:138 ]  Outputs:
[ 2018-10-17 17:08:10,940 ] [ DEBUG ] [ infer:39 ]  output[0]: shape = [ 1 10], value = <UNKNOWN>
[ 2018-10-17 17:08:10,941 ] [ DEBUG ] [ infer:85 ]  Removing the following not executable nodes: 
[ 2018-10-17 17:08:10,956 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:11,188 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 1882
1882/Output_0/Data_
InceptionV4/Conv2d_1a_3x3/BatchNorm/beta
InceptionV4/Conv2d_1a_3x3/BatchNorm/beta/read
InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_mean
InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_mean/read
InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_variance
InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_variance/read
InceptionV4/Conv2d_1a_3x3/weights
InceptionV4/Conv2d_1a_3x3/weights/read
InceptionV4/Conv2d_2a_3x3/BatchNorm/beta
InceptionV4/Conv2d_2a_3x3/BatchNorm/beta/read
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_mean
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_mean/read
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_variance
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_variance/read
InceptionV4/Conv2d_2a_3x3/weights
InceptionV4/Conv2d_2a_3x3/weights/read
InceptionV4/Conv2d_2b_3x3/BatchNorm/beta
InceptionV4/Conv2d_2b_3x3/BatchNorm/beta/read
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_mean
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_mean/read
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_variance
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_variance/read
InceptionV4/Conv2d_2b_3x3/weights
InceptionV4/Conv2d_2b_3x3/weights/read
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/beta
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/beta/read
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/weights
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/weights/read
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/read
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/weights
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InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
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InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/weights
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/weights/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/weights
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/weights/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/weights
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/weights/read
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/weights
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InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
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InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
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InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
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InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
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InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/weights
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/weights/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
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InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/weights
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/weights/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/weights/read
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/weights/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/weights/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/weights/read
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/weights
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/weights/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/weights
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/weights/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/weights
InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/weights/read
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/weights
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InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/weights
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InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/beta
InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/beta/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/weights
InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/weights/read
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/read
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/weights
InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/weights/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/beta
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/beta/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/weights
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/weights/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/weights
InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/weights/read
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/weights
InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/weights
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/weights/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/weights
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/weights/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/weights
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/weights/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/weights
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/weights/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/weights
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/weights/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/weights
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/weights/read
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/weights
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/weights
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/weights/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/weights
InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/weights/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/weights
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/weights/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/weights
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/weights/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/weights
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/weights/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/weights
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InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
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InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/weights
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/weights
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/weights
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/weights
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/weights
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InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/weights
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InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
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InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
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InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/weights
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InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/weights
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InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/weights
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InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/weights
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InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/weights
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InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/weights
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InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/weights
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InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/beta
InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/read
InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean
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InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance
InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read
InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/weights
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InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/beta
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InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean
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InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance
InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/weights
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/weights
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/beta
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/beta
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean
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InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance
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InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
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InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/weights
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/weights/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/weights
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/weights/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/weights
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/weights/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/weights
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/weights/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/weights
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/weights/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/weights
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/weights/read
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/weights
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/weights/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/weights
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/weights/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/weights
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/weights/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/weights
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/weights/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/weights
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/weights/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/weights
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/weights/read
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/weights
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/weights/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/weights
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/weights/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/weights
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/weights/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/weights
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/weights/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/weights
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/weights/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/weights
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/weights/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/weights
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/weights/read
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/read
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/weights
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/weights/read
InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_3a/concat/axis
InceptionV4_1/InceptionV4/Mixed_3a/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_4a/concat/axis
InceptionV4_1/InceptionV4/Mixed_4a/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5a/concat/axis
InceptionV4_1/InceptionV4/Mixed_5a/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5b/concat/axis
InceptionV4_1/InceptionV4/Mixed_5b/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5c/concat/axis
InceptionV4_1/InceptionV4/Mixed_5c/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5d/concat/axis
InceptionV4_1/InceptionV4/Mixed_5d/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_5e/concat/axis
InceptionV4_1/InceptionV4/Mixed_5e/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6a/concat/axis
InceptionV4_1/InceptionV4/Mixed_6a/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6b/concat/axis
InceptionV4_1/InceptionV4/Mixed_6b/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6c/concat/axis
InceptionV4_1/InceptionV4/Mixed_6c/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6d/concat/axis
InceptionV4_1/InceptionV4/Mixed_6d/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6e/concat/axis
InceptionV4_1/InceptionV4/Mixed_6e/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6f/concat/axis
InceptionV4_1/InceptionV4/Mixed_6f/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6g/concat/axis
InceptionV4_1/InceptionV4/Mixed_6g/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_6h/concat/axis
InceptionV4_1/InceptionV4/Mixed_6h/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7a/concat/axis
InceptionV4_1/InceptionV4/Mixed_7a/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/concat/axis
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/concat/axis
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7b/concat/axis
InceptionV4_1/InceptionV4/Mixed_7b/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/concat/axis
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/concat/axis
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7c/concat/axis
InceptionV4_1/InceptionV4/Mixed_7c/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/concat/axis
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/concat/axis
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/concat/axis/Output_0/Data_
InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/Const
InceptionV4_1/InceptionV4/Mixed_7d/concat/axis
InceptionV4_1/InceptionV4/Mixed_7d/concat/axis/Output_0/Data_
Logits_out/Logits_out/biases
Logits_out/Logits_out/biases/read
Logits_out/Logits_out/weights
Logits_out/Logits_out/weights/read
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/1
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/Concat_
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/ExpandDims_
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/ExpandDims_1884
Logits_out_1/PreLogitsFlatten_out/flatten/Shape
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack_1
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack_2
Logits_out_1/Reshape/shape
strided_slice/stack
strided_slice/stack_1
strided_slice/stack_2
[ 2018-10-17 17:08:11,253 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:11,382 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: InceptionV4/Conv2d_1a_3x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Conv2d_1a_3x3/weights/Output_0/Data_
InceptionV4/Conv2d_2a_3x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Conv2d_2a_3x3/weights/Output_0/Data_
InceptionV4/Conv2d_2b_3x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Conv2d_2b_3x3/weights/Output_0/Data_
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/weights/Output_0/Data_
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
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InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/weights/Output_0/Data_
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InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/weights/Output_0/Data_
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InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/weights/Output_0/Data_
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InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/weights/Output_0/Data_
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InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/weights/Output_0/Data_
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InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/weights/Output_0/Data_
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InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/Output_0/Data_
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InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/weights/Output_0/Data_
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/weights/Output_0/Data_
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InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/weights/Output_0/Data_
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InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/weights/Output_0/Data_
InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/weights/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/weights/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/weights/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/weights/Output_0/Data_
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/beta/Output_0/Data_
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/Output_0/Data_
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/Output_0/Data_
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/weights/Output_0/Data_
Logits_out/Logits_out/biases/Output_0/Data_
Logits_out/Logits_out/weights/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/1/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/ExpandDims_/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/ExpandDims_1884/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/Shape/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack_1/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/strided_slice/stack_2/Output_0/Data_
[ 2018-10-17 17:08:11,448 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:11,559 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:11,568 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f2ea0>, 'name': 'Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d147598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:11,569 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'Placeholder_X/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 299, 299,   3]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('Placeholder_X', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:11,667 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:11,777 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:11,843 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:11,952 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:12,011 ] [ DEBUG ] [ eliminate:186 ]  Removing op node: Logits_out_1/Dropout_1b_out/Identity
[ 2018-10-17 17:08:12,126 ] [ DEBUG ] [ class_registration:89 ]  Replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'> will be run after <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ 2018-10-17 17:08:12,126 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ 2018-10-17 17:08:12,186 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ 2018-10-17 17:08:12,246 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'>
[ 2018-10-17 17:08:12,305 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ 2018-10-17 17:08:12,392 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ 2018-10-17 17:08:12,416 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ 2018-10-17 17:08:12,438 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ 2018-10-17 17:08:13,257 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:13,366 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ INFO ]  [ FUSING ] Node Logits_out_1/Logits_out/BiasAdd marked as fusable
[ INFO ]  [ FUSING ] Node Add_ marked as fusable
[ 2018-10-17 17:08:13,380 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d147488>, 'name': 'Mul1_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bbc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,381 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3775', 'value': None, 'shape': array([  1, 149, 149,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,381 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f6730>, 'name': 'Add1_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48e950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,381 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3777', 'value': None, 'shape': array([  1, 149, 149,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,382 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d29ce18>, 'name': 'Mul2_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48e378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,382 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3779', 'value': None, 'shape': array([  1, 149, 149,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,382 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d29cd90>, 'name': 'Add2_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48e9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,382 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 149, 149,  32]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,383 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf84e18>, 'name': 'Mul1_3783', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,383 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3784', 'value': None, 'shape': array([  1, 147, 147,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,383 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48e620>, 'name': 'Add1_3785', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f39d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,384 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3786', 'value': None, 'shape': array([  1, 147, 147,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,384 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48e2f0>, 'name': 'Mul2_3787', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f36a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,384 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3788', 'value': None, 'shape': array([  1, 147, 147,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,384 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48ea60>, 'name': 'Add2_3789', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,385 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 147, 147,  32]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,385 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48eae8>, 'name': 'Mul1_3792', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d01aea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,386 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3793', 'value': None, 'shape': array([  1, 147, 147,  64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,386 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f3598>, 'name': 'Add1_3794', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,386 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3795', 'value': None, 'shape': array([  1, 147, 147,  64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,386 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f3510>, 'name': 'Mul2_3796', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c79d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,387 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3797', 'value': None, 'shape': array([  1, 147, 147,  64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,387 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f3d90>, 'name': 'Add2_3798', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d146d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,387 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 147, 147,  64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,388 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d01ae18>, 'name': 'Mul1_3801', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,388 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3802', 'value': None, 'shape': array([ 1, 73, 73, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,389 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d146f28>, 'name': 'Add1_3803', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,389 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3804', 'value': None, 'shape': array([ 1, 73, 73, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,389 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f3620>, 'name': 'Mul2_3805', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48ed08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,389 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3806', 'value': None, 'shape': array([ 1, 73, 73, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,390 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f3bf8>, 'name': 'Add2_3807', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48e8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,390 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,390 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f3488>, 'name': 'Mul1_3810', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d16a488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,391 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3811', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,391 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48e158>, 'name': 'Add1_3812', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f61e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,391 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3813', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,391 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48e510>, 'name': 'Mul2_3814', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f60d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,392 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3815', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,392 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48e1e0>, 'name': 'Add2_3816', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f6488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,392 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,393 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48e598>, 'name': 'Mul1_3819', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,393 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3820', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,394 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f6268>, 'name': 'Add1_3821', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45fc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,394 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3822', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,394 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f6a60>, 'name': 'Mul2_3823', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,394 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3824', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,395 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f6b70>, 'name': 'Add2_3825', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f69d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,395 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 71, 71, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,396 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7378>, 'name': 'Mul1_3828', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f2e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,396 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3829', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,396 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f66a8>, 'name': 'Add1_3830', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48ee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,397 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3831', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,397 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f6e18>, 'name': 'Mul2_3832', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1662f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,397 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3833', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,397 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f6d08>, 'name': 'Add2_3834', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,398 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,398 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f6510>, 'name': 'Mul1_3837', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d146d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,399 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3838', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,399 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48ed90>, 'name': 'Add1_3839', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1468c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,399 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3840', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,399 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d166620>, 'name': 'Mul2_3841', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d463268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,400 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3842', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,400 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d166c80>, 'name': 'Add2_3843', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bd730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,400 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,401 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f6510>, 'name': 'Mul1_3846', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45fa60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,402 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3847', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,402 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4630d0>, 'name': 'Add1_3848', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43ec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,402 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3849', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,402 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d463158>, 'name': 'Mul2_3850', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43e8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,403 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3851', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,403 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d154d90>, 'name': 'Add2_3852', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bd268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,403 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,404 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d154e18>, 'name': 'Mul1_3855', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,404 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3856', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,404 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5bd400>, 'name': 'Add1_3857', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1667b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,405 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3858', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,405 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5bd620>, 'name': 'Mul2_3859', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bb8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,405 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3860', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,405 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5bd2f0>, 'name': 'Add2_3861', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f2d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,406 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 71, 71, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,406 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d146950>, 'name': 'Mul1_3864', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f6048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,407 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3865', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,407 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48e268>, 'name': 'Add1_3866', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f6620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,407 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3867', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,407 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48e730>, 'name': 'Mul2_3868', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1472f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,408 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3869', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,408 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5bbe18>, 'name': 'Add2_3870', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c76a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,408 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  35,  35, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,409 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d16a378>, 'name': 'Mul1_3873', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d442400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,409 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3874', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,409 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d147950>, 'name': 'Add1_3875', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4427b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,410 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3876', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,410 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d147730>, 'name': 'Mul2_3877', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e767b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,410 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3878', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,410 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d147048>, 'name': 'Add2_3879', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,411 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,411 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d43e950>, 'name': 'Mul1_3882', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,412 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3883', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,412 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f6158>, 'name': 'Add1_3884', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,412 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3885', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,412 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f6bf8>, 'name': 'Mul2_3886', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f6400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,413 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3887', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,413 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f6400>, 'name': 'Add2_3888', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c9268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,413 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,414 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d16a2f0>, 'name': 'Mul1_3891', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,414 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3892', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,415 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1666a8>, 'name': 'Add1_3893', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,415 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3894', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,415 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f6048>, 'name': 'Mul2_3895', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,415 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3896', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,416 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f6488>, 'name': 'Add2_3897', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,416 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,417 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f6158>, 'name': 'Mul1_3900', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,417 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3901', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,417 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45ff28>, 'name': 'Add1_3902', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1937b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,417 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3903', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,418 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45f9d8>, 'name': 'Mul2_3904', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1950d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,418 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3905', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,418 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45f268>, 'name': 'Add2_3906', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d442620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,418 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,419 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e767ea0>, 'name': 'Mul1_3909', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f62f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,419 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3910', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,420 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45fd90>, 'name': 'Add1_3911', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,420 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3912', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,420 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45fae8>, 'name': 'Mul2_3913', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,420 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3914', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,421 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45f6a8>, 'name': 'Add2_3915', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf848c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,421 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,422 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d146b70>, 'name': 'Mul1_3918', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,422 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3919', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,422 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f2d08>, 'name': 'Add1_3920', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,422 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3921', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,423 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f2f28>, 'name': 'Mul2_3922', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43ee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,423 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3923', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,423 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84b70>, 'name': 'Add2_3924', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43ea60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,423 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,424 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f6c80>, 'name': 'Mul1_3927', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1957b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,424 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3928', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,425 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d43ef28>, 'name': 'Add1_3929', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7d88c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,425 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3930', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,425 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d43eae8>, 'name': 'Mul2_3931', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,426 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3932', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,426 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d43e9d8>, 'name': 'Add2_3933', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,426 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,427 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d195950>, 'name': 'Mul1_3936', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf846a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,428 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3937', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,428 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d193ea0>, 'name': 'Add1_3938', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,428 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3939', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,428 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d193950>, 'name': 'Mul2_3940', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,429 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3941', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,429 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1938c8>, 'name': 'Add2_3942', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,429 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,430 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f68c8>, 'name': 'Mul1_3945', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,430 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3946', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,436 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84620>, 'name': 'Add1_3947', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45fd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,437 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3948', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,437 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf849d8>, 'name': 'Mul2_3949', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d442158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,437 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3950', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,437 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d166d90>, 'name': 'Add2_3951', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d442488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,438 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,438 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f3400>, 'name': 'Mul1_3954', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,439 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3955', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,439 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d442048>, 'name': 'Add1_3956', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,439 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3957', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,439 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4420d0>, 'name': 'Mul2_3958', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,440 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3959', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,440 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d442510>, 'name': 'Add2_3960', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4428c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,440 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,441 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d026f28>, 'name': 'Mul1_3963', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,442 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3964', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,442 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d442598>, 'name': 'Add1_3965', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,442 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3966', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,442 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45f620>, 'name': 'Mul2_3967', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,443 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3968', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,443 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45fe18>, 'name': 'Add2_3969', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bb840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,443 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,444 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c90d0>, 'name': 'Mul1_3972', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,444 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3973', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,444 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84510>, 'name': 'Add1_3974', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e6e5ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,445 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3975', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,445 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf84598>, 'name': 'Mul2_3976', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d195400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,445 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3977', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,445 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84488>, 'name': 'Add2_3978', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d195840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,446 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,446 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d43ed90>, 'name': 'Mul1_3981', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,447 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3982', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,447 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d195510>, 'name': 'Add1_3983', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,447 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3984', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,447 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d195268>, 'name': 'Mul2_3985', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,447 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3986', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,448 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d195620>, 'name': 'Add2_3987', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d195730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,449 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,449 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d048f28>, 'name': 'Mul1_3990', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f6378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,450 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3991', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,450 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1952f0>, 'name': 'Add1_3992', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,450 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3993', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,450 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1958c8>, 'name': 'Mul2_3994', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,451 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '3995', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,451 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1956a8>, 'name': 'Add2_3996', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d146a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,451 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,452 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d195378>, 'name': 'Mul1_3999', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,452 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4000', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,452 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f38c8>, 'name': 'Add1_4001', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,453 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4002', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,453 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f37b8>, 'name': 'Mul2_4003', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,453 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4004', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,453 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f3730>, 'name': 'Add2_4005', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c71e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,453 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,454 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4426a8>, 'name': 'Mul1_4008', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04ac80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,455 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4009', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,455 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d026ae8>, 'name': 'Add1_4010', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2c8f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,455 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4011', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,455 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0268c8>, 'name': 'Mul2_4012', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,456 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4013', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,456 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5c7d90>, 'name': 'Add2_4014', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,456 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,457 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2c8ea0>, 'name': 'Mul1_4017', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bd7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,457 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4018', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,458 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d147158>, 'name': 'Add1_4019', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bd1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,458 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4020', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,458 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7ae8>, 'name': 'Mul2_4021', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d146c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,458 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4022', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,458 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5c77b8>, 'name': 'Add2_4023', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,459 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,460 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4422f0>, 'name': 'Mul1_4026', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,460 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4027', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,460 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1469d8>, 'name': 'Add1_4028', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d195158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,460 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4029', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,461 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d146bf8>, 'name': 'Mul2_4030', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,461 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4031', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,461 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f3950>, 'name': 'Add2_4032', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,461 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,462 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d43e840>, 'name': 'Mul1_4035', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2aeb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,462 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4036', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,462 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d02a400>, 'name': 'Add1_4037', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2aee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,463 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4038', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,463 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d02a7b8>, 'name': 'Mul2_4039', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b20d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,463 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4040', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,463 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d02a620>, 'name': 'Add2_4041', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,464 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,464 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d048e18>, 'name': 'Mul1_4044', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,465 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4045', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,465 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d193d08>, 'name': 'Add1_4046', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d442378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,465 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4047', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,465 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1939d8>, 'name': 'Mul2_4048', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e767d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,466 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4049', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,466 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387e6e5f28>, 'name': 'Add2_4050', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e767f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,466 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,467 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f3d08>, 'name': 'Mul1_4053', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,467 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4054', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,467 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d442730>, 'name': 'Add1_4055', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,468 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4056', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,468 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4421e0>, 'name': 'Mul2_4057', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,468 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4058', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,468 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387e767c80>, 'name': 'Add2_4059', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,469 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,469 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7d08>, 'name': 'Mul1_4062', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d251d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,470 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4063', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,470 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d04a488>, 'name': 'Add1_4064', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,470 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4065', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,470 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d04a510>, 'name': 'Mul2_4066', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2542f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,471 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4067', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,471 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ae510>, 'name': 'Add2_4068', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2aec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,471 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,472 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2b2488>, 'name': 'Mul1_4071', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,472 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4072', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,472 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ae840>, 'name': 'Add1_4073', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,473 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4074', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,473 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2aea60>, 'name': 'Mul2_4075', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e767e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,473 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4076', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,473 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ae598>, 'name': 'Add2_4077', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,474 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,474 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d147620>, 'name': 'Mul1_4080', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43ed08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,475 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4081', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,475 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387e767ae8>, 'name': 'Add1_4082', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,475 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4083', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,475 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e767bf8>, 'name': 'Mul2_4084', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d195488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,476 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4085', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,476 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d442268>, 'name': 'Add2_4086', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,476 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,477 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d16a1e0>, 'name': 'Mul1_4089', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,477 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4090', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,477 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d195048>, 'name': 'Add1_4091', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,478 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4092', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,478 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d195598>, 'name': 'Mul2_4093', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,478 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4094', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,478 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1951e0>, 'name': 'Add2_4095', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,479 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,479 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2549d8>, 'name': 'Mul1_4098', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,480 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4099', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,480 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d02a950>, 'name': 'Add1_4100', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,480 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4101', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,480 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d02a8c8>, 'name': 'Mul2_4102', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,480 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4103', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,481 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d02a378>, 'name': 'Add2_4104', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,481 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,482 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1668c8>, 'name': 'Mul1_4107', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,482 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4108', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,482 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387e767d08>, 'name': 'Add1_4109', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,482 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4110', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,482 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0269d8>, 'name': 'Mul2_4111', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d251ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,483 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4112', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,483 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d026840>, 'name': 'Add2_4113', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d251ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,483 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,484 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d04a268>, 'name': 'Mul1_4116', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,484 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4117', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,485 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d251f28>, 'name': 'Add1_4118', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,485 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4119', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,485 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d251c80>, 'name': 'Mul2_4120', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,485 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4121', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,486 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d251950>, 'name': 'Add2_4122', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,486 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,487 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3719d8>, 'name': 'Mul1_4125', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45fbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,487 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4126', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,487 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ae950>, 'name': 'Add1_4127', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,487 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4128', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,488 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2aef28>, 'name': 'Mul2_4129', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bd488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,488 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4130', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,488 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2aeea0>, 'name': 'Add2_4131', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,488 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,489 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d026950>, 'name': 'Mul1_4134', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d24c0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,489 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4135', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,490 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5bd158>, 'name': 'Add1_4136', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,490 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4137', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,490 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5bd378>, 'name': 'Mul2_4138', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2547b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,490 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4139', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,490 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5bd6a8>, 'name': 'Add2_4140', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,491 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  35,  35, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,491 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d24c048>, 'name': 'Mul1_4143', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50ad90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,492 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4144', 'value': None, 'shape': array([  1,  35,  35, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,492 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d254620>, 'name': 'Add1_4145', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,492 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4146', 'value': None, 'shape': array([  1,  35,  35, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,492 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d254510>, 'name': 'Mul2_4147', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,493 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4148', 'value': None, 'shape': array([  1,  35,  35, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,493 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2548c8>, 'name': 'Add2_4149', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,493 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  35,  35, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,494 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d50af28>, 'name': 'Mul1_4152', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43ebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,494 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4153', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,494 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d374488>, 'name': 'Add1_4154', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,495 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4155', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,495 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d374620>, 'name': 'Mul2_4156', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bd510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,495 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4157', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,495 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d374048>, 'name': 'Add2_4158', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,496 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,496 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d193d90>, 'name': 'Mul1_4161', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,497 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4162', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,497 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5bd0d0>, 'name': 'Add1_4163', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d251b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,497 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4164', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,497 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d166a60>, 'name': 'Mul2_4165', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,498 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4166', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,498 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d442840>, 'name': 'Add2_4167', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,498 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,499 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d04aa60>, 'name': 'Mul1_4170', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,499 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4171', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,499 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2519d8>, 'name': 'Add1_4172', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4466a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,499 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4173', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,500 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d251e18>, 'name': 'Mul2_4174', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,500 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4175', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,500 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b2400>, 'name': 'Add2_4176', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,501 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,501 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48d840>, 'name': 'Mul1_4179', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45fea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,502 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4180', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,502 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b21e0>, 'name': 'Add1_4181', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,502 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4182', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,502 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d251d90>, 'name': 'Mul2_4183', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43eea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,502 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4184', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,503 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d251bf8>, 'name': 'Add2_4185', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f6950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,503 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,504 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d026ea0>, 'name': 'Mul1_4188', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3748c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,504 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4189', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,504 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84950>, 'name': 'Add1_4190', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,504 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4191', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,505 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf84ea0>, 'name': 'Mul2_4192', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50aa60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,505 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4193', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,505 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f6598>, 'name': 'Add2_4194', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50ae18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,505 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,506 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d254400>, 'name': 'Mul1_4197', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3cd0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,506 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4198', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,507 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d50a950>, 'name': 'Add1_4199', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3442f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,507 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4200', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,507 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d50a7b8>, 'name': 'Mul2_4201', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,507 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4202', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,508 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d50ab70>, 'name': 'Add2_4203', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50ac80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,508 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,509 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3cd158>, 'name': 'Mul1_4206', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,509 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4207', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,509 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4468c8>, 'name': 'Add1_4208', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,510 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4209', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,510 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d446620>, 'name': 'Mul2_4210', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f6840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,510 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4211', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,510 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d50a730>, 'name': 'Add2_4212', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,511 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,511 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2540d0>, 'name': 'Mul1_4215', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,511 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4216', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,512 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f67b8>, 'name': 'Add1_4217', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,512 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4218', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,512 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4f62f0>, 'name': 'Mul2_4219', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,512 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4220', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,513 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf847b8>, 'name': 'Add2_4221', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3718c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,513 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,514 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d251a60>, 'name': 'Mul1_4224', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,515 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4225', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,515 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d371f28>, 'name': 'Add1_4226', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d34a048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,515 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4227', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,516 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d371d08>, 'name': 'Mul2_4228', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d34a378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,516 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4229', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,516 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d371a60>, 'name': 'Add2_4230', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,517 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,517 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d344bf8>, 'name': 'Mul1_4233', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,518 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4234', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,518 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48d158>, 'name': 'Add1_4235', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,518 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4236', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,518 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48d7b8>, 'name': 'Mul2_4237', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43e7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,519 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4238', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,519 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48d1e0>, 'name': 'Add2_4239', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d02a840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,519 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,520 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2b2268>, 'name': 'Mul1_4242', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50aea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,520 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4243', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,520 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5c7510>, 'name': 'Add1_4244', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,521 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4245', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,521 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7c80>, 'name': 'Mul2_4246', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,521 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4247', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,521 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d193c80>, 'name': 'Add2_4248', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,521 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,522 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d374510>, 'name': 'Mul1_4251', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5031e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,523 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4252', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,523 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446ea0>, 'name': 'Add1_4253', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,524 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4254', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,524 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d446e18>, 'name': 'Mul2_4255', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,524 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4256', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,525 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446c80>, 'name': 'Add2_4257', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4461e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,525 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,526 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d501f28>, 'name': 'Mul1_4260', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d16a400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,526 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4261', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,526 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446ae8>, 'name': 'Add1_4262', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,527 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4263', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,527 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d446b70>, 'name': 'Mul2_4264', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b22f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,527 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4265', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,527 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446f28>, 'name': 'Add2_4266', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04abf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,528 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,529 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d193bf8>, 'name': 'Mul1_4269', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,529 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4270', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,529 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d147378>, 'name': 'Add1_4271', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,529 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4272', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,530 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1470d0>, 'name': 'Mul2_4273', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,530 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4274', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,530 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d04a2f0>, 'name': 'Add2_4275', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,531 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,531 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d371b70>, 'name': 'Mul1_4278', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d106ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,532 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4279', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,532 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344730>, 'name': 'Add1_4280', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,532 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4281', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,532 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d344840>, 'name': 'Mul2_4282', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,533 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4283', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,533 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3447b8>, 'name': 'Add2_4284', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,534 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,534 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d106e18>, 'name': 'Mul1_4287', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,535 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4288', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,535 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344620>, 'name': 'Add1_4289', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,535 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4290', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,536 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d344510>, 'name': 'Mul2_4291', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,536 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4292', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,536 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344950>, 'name': 'Add2_4293', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d048ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,537 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,537 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2aebf8>, 'name': 'Mul1_4296', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,538 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4297', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,538 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d04a1e0>, 'name': 'Add1_4298', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,538 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4299', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,539 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d04aae8>, 'name': 'Mul2_4300', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3cd2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,539 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4301', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,539 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d02a488>, 'name': 'Add2_4302', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d501c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,539 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,540 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d02a048>, 'name': 'Mul1_4305', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,541 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4306', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,541 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446d08>, 'name': 'Add1_4307', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,541 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4308', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,541 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3cd378>, 'name': 'Mul2_4309', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,542 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4310', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,543 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3cd268>, 'name': 'Add2_4311', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d501ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,552 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,554 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3cd048>, 'name': 'Mul1_4314', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04ab70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,555 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4315', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,556 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4469d8>, 'name': 'Add1_4316', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,556 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4317', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,557 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d446a60>, 'name': 'Mul2_4318', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,557 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4319', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,557 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446730>, 'name': 'Add2_4320', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,557 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,558 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7598>, 'name': 'Mul1_4323', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,558 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4324', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,558 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1471e0>, 'name': 'Add1_4325', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,559 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4326', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,559 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2aed08>, 'name': 'Mul2_4327', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5038c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,559 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4328', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,559 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2aeae8>, 'name': 'Add2_4329', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d08c048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,560 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,560 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3446a8>, 'name': 'Mul1_4332', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ada60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,560 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4333', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,561 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503a60>, 'name': 'Add1_4334', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1add08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,561 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4335', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,561 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d503048>, 'name': 'Mul2_4336', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1b0048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,562 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4337', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,562 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5037b8>, 'name': 'Add2_4338', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3837b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,562 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,563 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d383158>, 'name': 'Mul1_4341', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,563 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4342', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,564 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503598>, 'name': 'Add1_4343', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d048d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,564 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4344', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,564 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d503d08>, 'name': 'Mul2_4345', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,564 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4346', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,565 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503d90>, 'name': 'Add2_4347', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,565 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,566 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2aed90>, 'name': 'Mul1_4350', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d34a0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,566 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4351', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,566 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d254730>, 'name': 'Add1_4352', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,567 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4353', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,567 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d254ae8>, 'name': 'Mul2_4354', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3809d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,567 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4355', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,567 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2546a8>, 'name': 'Add2_4356', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ad400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,567 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,568 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d501e18>, 'name': 'Mul1_4359', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31ea60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,569 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4360', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,569 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d380950>, 'name': 'Add1_4361', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31ed08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,569 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4362', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,569 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d380c80>, 'name': 'Mul2_4363', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d322048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,570 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4364', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,570 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d380e18>, 'name': 'Add2_4365', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1adbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,570 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,571 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1b0598>, 'name': 'Mul1_4368', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2541e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,571 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4369', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,572 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ad488>, 'name': 'Add1_4370', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d048d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,572 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4371', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,572 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d380d90>, 'name': 'Mul2_4372', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,572 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4373', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,573 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d380bf8>, 'name': 'Add2_4374', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,573 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,574 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d50a6a8>, 'name': 'Mul1_4377', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5032f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,574 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4378', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,574 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d04a620>, 'name': 'Add1_4379', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,574 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4380', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,575 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d04a0d0>, 'name': 'Mul2_4381', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3831e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,575 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4382', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,575 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d04ad08>, 'name': 'Add2_4383', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3836a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,575 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,576 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3448c8>, 'name': 'Mul1_4386', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d322840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,576 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4387', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,577 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d383488>, 'name': 'Add1_4388', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d322a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,578 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4389', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,579 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d383ae8>, 'name': 'Mul2_4390', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c1ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,579 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4391', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,579 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3839d8>, 'name': 'Add2_4392', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3832f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,580 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,580 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3228c8>, 'name': 'Mul1_4395', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,581 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4396', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,581 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d31ed90>, 'name': 'Add1_4397', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,581 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4398', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,581 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d383400>, 'name': 'Mul2_4399', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d04a730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,582 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4400', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,582 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d383378>, 'name': 'Add2_4401', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,582 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,583 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d503510>, 'name': 'Mul1_4404', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,583 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4405', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,583 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d04ad90>, 'name': 'Add1_4406', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ad620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,584 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4407', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,584 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d04a598>, 'name': 'Mul2_4408', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ad598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,584 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4409', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,584 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d048c80>, 'name': 'Add2_4410', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ad950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,584 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,585 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d501d08>, 'name': 'Mul1_4413', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c32f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,585 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4414', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,586 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ad9d8>, 'name': 'Add1_4415', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,586 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4416', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,586 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1add90>, 'name': 'Mul2_4417', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c37b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,586 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4418', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,587 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ad730>, 'name': 'Add2_4419', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1adea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,589 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,589 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1c1f28>, 'name': 'Mul1_4422', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d254598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,590 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4423', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,590 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1adae8>, 'name': 'Add1_4424', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,590 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4425', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,590 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1adb70>, 'name': 'Mul2_4426', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,591 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4427', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,591 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ad6a8>, 'name': 'Add2_4428', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,591 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,592 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d02a2f0>, 'name': 'Mul1_4431', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31e9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,592 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4432', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,592 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48d730>, 'name': 'Add1_4433', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3229d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,593 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4434', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,593 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48d268>, 'name': 'Mul2_4435', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d322510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,594 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4436', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,594 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ae730>, 'name': 'Add2_4437', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d322950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,595 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,595 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3830d0>, 'name': 'Mul1_4440', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4eb048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,596 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4441', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,596 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d322488>, 'name': 'Add1_4442', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,596 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4443', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,596 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d322378>, 'name': 'Mul2_4444', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,597 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4445', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,597 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d322730>, 'name': 'Add2_4446', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d322620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,597 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,598 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4eb1e0>, 'name': 'Mul1_4449', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,598 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4450', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,599 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c3510>, 'name': 'Add1_4451', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,599 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4452', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,599 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d322158>, 'name': 'Mul2_4453', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,599 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4454', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,600 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3226a8>, 'name': 'Add2_4455', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3746a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,600 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,601 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d106f28>, 'name': 'Mul1_4458', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ad510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,602 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4459', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,602 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3449d8>, 'name': 'Add1_4460', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ade18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,602 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4461', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,603 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48d6a8>, 'name': 'Mul2_4462', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1b0510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,603 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4463', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,603 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48d510>, 'name': 'Add2_4464', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1b0378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,604 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,605 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d048bf8>, 'name': 'Mul1_4467', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf58048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,605 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4468', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,605 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1b0400>, 'name': 'Add1_4469', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf58268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,605 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4470', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,606 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1b0488>, 'name': 'Mul2_4471', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf58598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,606 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4472', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,606 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1b00d0>, 'name': 'Add2_4473', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c1950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,607 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,608 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf56d90>, 'name': 'Mul1_4476', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,608 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4477', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,608 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c1d90>, 'name': 'Add1_4478', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,608 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4479', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,609 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1c19d8>, 'name': 'Mul2_4480', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,609 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4481', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,609 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1b0158>, 'name': 'Add2_4482', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,610 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,610 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d446510>, 'name': 'Mul1_4485', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,611 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4486', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,611 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344c80>, 'name': 'Add1_4487', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,611 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4488', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,611 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d344ae8>, 'name': 'Mul2_4489', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,612 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4490', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,612 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344f28>, 'name': 'Add2_4491', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d2488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,612 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,613 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d31e950>, 'name': 'Mul1_4494', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12af28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,613 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4495', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,613 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c3268>, 'name': 'Add1_4496', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,614 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4497', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,614 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1c31e0>, 'name': 'Mul2_4498', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,614 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4499', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,614 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c38c8>, 'name': 'Add2_4500', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cce18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,615 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,615 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d12aea0>, 'name': 'Mul1_4503', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5039d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,616 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4504', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,616 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4eb158>, 'name': 'Add1_4505', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,616 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4506', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,616 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4eb0d0>, 'name': 'Mul2_4507', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3740d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,617 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4508', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,617 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c3950>, 'name': 'Add2_4509', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50abf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,617 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,618 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1c39d8>, 'name': 'Mul1_4512', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c18c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,618 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4513', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,618 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d254268>, 'name': 'Add1_4514', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c1d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,619 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4515', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,619 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d374840>, 'name': 'Mul2_4516', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,619 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4517', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,619 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3741e0>, 'name': 'Add2_4518', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,620 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,620 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3cd1e0>, 'name': 'Mul1_4521', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,621 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4522', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,621 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf56ea0>, 'name': 'Add1_4523', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0426a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,621 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4524', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,621 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf56f28>, 'name': 'Mul2_4525', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,622 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4526', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,622 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf569d8>, 'name': 'Add2_4527', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,622 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,623 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d12ea60>, 'name': 'Mul1_4530', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50a9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,623 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4531', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,625 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf567b8>, 'name': 'Add1_4532', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5030d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,625 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4533', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,625 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf56620>, 'name': 'Mul2_4534', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5036a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,626 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4535', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,626 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf56a60>, 'name': 'Add2_4536', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,626 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,627 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d501d90>, 'name': 'Mul1_4539', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2bf158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,627 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4540', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,627 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503620>, 'name': 'Add1_4541', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf58378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,628 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4542', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,628 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d503ae8>, 'name': 'Mul2_4543', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf581e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,628 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4544', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,628 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344378>, 'name': 'Add2_4545', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12ad08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,629 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,629 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d383840>, 'name': 'Mul1_4548', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d044488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,630 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4549', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,630 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf58158>, 'name': 'Add1_4550', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0446a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,630 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4551', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,630 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf582f0>, 'name': 'Mul2_4552', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4df7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,631 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4553', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,631 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12aa60>, 'name': 'Add2_4554', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12ab70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,631 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,632 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d044620>, 'name': 'Mul1_4557', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31ee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,632 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4558', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,633 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d042b70>, 'name': 'Add1_4559', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31ebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,633 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4560', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,633 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d12a8c8>, 'name': 'Mul2_4561', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,633 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4562', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,633 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12a9d8>, 'name': 'Add2_4563', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50aae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,634 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,634 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d12abf8>, 'name': 'Mul1_4566', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c1e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,635 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4567', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,635 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3838c8>, 'name': 'Add1_4568', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,635 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4569', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,635 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d383048>, 'name': 'Mul2_4570', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,636 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4571', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,636 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503378>, 'name': 'Add2_4572', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,636 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,637 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1b0268>, 'name': 'Mul1_4575', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4dff28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,637 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4576', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,637 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf56950>, 'name': 'Add1_4577', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e12f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,638 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4578', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,638 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf56c80>, 'name': 'Mul2_4579', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e1488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,638 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4580', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,638 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf566a8>, 'name': 'Add2_4581', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,639 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,639 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4dfe18>, 'name': 'Mul1_4584', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4467b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,640 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4585', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,640 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12e158>, 'name': 'Add1_4586', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50ad08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,640 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4587', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,640 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d12e048>, 'name': 'Mul2_4588', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31e8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,640 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4589', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,641 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12e0d0>, 'name': 'Add2_4590', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d322268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,641 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,642 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d34a268>, 'name': 'Mul1_4593', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,642 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4594', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,642 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d383620>, 'name': 'Add1_4595', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,643 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4596', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,643 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d31eea0>, 'name': 'Mul2_4597', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,643 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4598', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,643 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d31ec80>, 'name': 'Add2_4599', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0440d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,643 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,644 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2bf1e0>, 'name': 'Mul1_4602', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,644 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4603', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,645 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d042840>, 'name': 'Add1_4604', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,645 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4605', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,645 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0428c8>, 'name': 'Mul2_4606', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4197b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,645 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4607', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,646 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d042d08>, 'name': 'Add2_4608', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0441e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,646 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,647 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d417e18>, 'name': 'Mul1_4611', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31ef28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,647 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4612', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,647 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0427b8>, 'name': 'Add1_4613', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50a8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,647 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4614', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,647 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0429d8>, 'name': 'Mul2_4615', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,648 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4616', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,648 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d042a60>, 'name': 'Add2_4617', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1b02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,648 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,649 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1c3598>, 'name': 'Mul1_4620', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,649 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4621', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,649 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446488>, 'name': 'Add1_4622', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4dfae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,650 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4623', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,650 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d446d90>, 'name': 'Mul2_4624', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4df730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,650 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4625', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,650 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3717b8>, 'name': 'Add2_4626', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4dfd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,651 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,651 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf568c8>, 'name': 'Mul1_4629', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d283d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,652 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4630', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,652 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4df6a8>, 'name': 'Add1_4631', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d1950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,652 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4632', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,652 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4df950>, 'name': 'Mul2_4633', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d1bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,653 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4634', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,653 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4dfb70>, 'name': 'Add2_4635', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4dfbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,654 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,654 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d283ea0>, 'name': 'Mul1_4638', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d34a1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,655 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4639', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,655 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d419488>, 'name': 'Add1_4640', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,655 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4641', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,655 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4df8c8>, 'name': 'Mul2_4642', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4462f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,656 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4643', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,656 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4df840>, 'name': 'Add2_4644', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31eae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,656 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,657 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d371ea0>, 'name': 'Mul1_4647', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,658 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4648', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,658 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3742f0>, 'name': 'Add1_4649', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0442f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,658 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4650', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,658 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3747b8>, 'name': 'Mul2_4651', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d044598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,659 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4652', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,659 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d50a840>, 'name': 'Add2_4653', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e1598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,659 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,660 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2bf048>, 'name': 'Mul1_4656', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,660 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4657', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,660 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d044268>, 'name': 'Add1_4658', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,661 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4659', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,661 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d044510>, 'name': 'Mul2_4660', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,661 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4661', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,661 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d044158>, 'name': 'Add2_4662', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e1730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,662 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,662 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d417d08>, 'name': 'Mul1_4665', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1b01e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,663 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4666', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,663 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d044048>, 'name': 'Add1_4667', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d34a158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,663 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4668', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,663 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d380b70>, 'name': 'Mul2_4669', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c1a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,664 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4670', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,664 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d042c80>, 'name': 'Add2_4671', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1adf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,664 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,665 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d31eb70>, 'name': 'Mul1_4674', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,665 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4675', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,665 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c1b70>, 'name': 'Add1_4676', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,666 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4677', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,666 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1c1ea0>, 'name': 'Mul2_4678', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,666 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4679', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,666 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d501bf8>, 'name': 'Add2_4680', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4199d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,667 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,667 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4dfd90>, 'name': 'Mul1_4683', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0166a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,668 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4684', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,668 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4190d0>, 'name': 'Add1_4685', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,668 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4686', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,668 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d419158>, 'name': 'Mul2_4687', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d018268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,669 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4688', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,669 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d419b70>, 'name': 'Add2_4689', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,669 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,670 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d016ea0>, 'name': 'Mul1_4692', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,670 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4693', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,670 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1da950>, 'name': 'Add1_4694', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,671 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4695', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,671 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1da510>, 'name': 'Mul2_4696', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ad8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,671 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4697', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,671 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1da620>, 'name': 'Add2_4698', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d34a400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,672 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,672 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4dfea0>, 'name': 'Mul1_4701', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,673 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4702', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,673 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ad840>, 'name': 'Add1_4703', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e16a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,673 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4704', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,673 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1ad7b8>, 'name': 'Mul2_4705', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e10d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,674 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4706', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,674 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c1c80>, 'name': 'Add2_4707', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d417d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,674 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,675 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2bf0d0>, 'name': 'Mul1_4710', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3c9ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,675 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4711', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,675 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4e1378>, 'name': 'Add1_4712', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1791e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,676 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4713', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,676 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4e1158>, 'name': 'Mul2_4714', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4caea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,676 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4715', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,677 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4e1400>, 'name': 'Add2_4716', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d18c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,677 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,678 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d018840>, 'name': 'Mul1_4719', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,678 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4720', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,678 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1d1ea0>, 'name': 'Add1_4721', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3221e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,678 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4722', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,679 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1d1f28>, 'name': 'Mul2_4723', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d34a2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,679 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4724', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,679 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1d1a60>, 'name': 'Add2_4725', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,679 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,680 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1c1bf8>, 'name': 'Mul1_4728', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d283f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,680 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4729', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,680 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d34a488>, 'name': 'Add1_4730', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,681 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4731', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,681 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d503bf8>, 'name': 'Mul2_4732', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,681 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4733', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,681 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1adc80>, 'name': 'Add2_4734', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0167b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,682 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,682 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4dfc80>, 'name': 'Mul1_4737', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,683 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4738', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,683 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1da1e0>, 'name': 'Add1_4739', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,683 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4740', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,683 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1da158>, 'name': 'Mul2_4741', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44eb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,684 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4742', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,684 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1da378>, 'name': 'Add2_4743', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,684 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,685 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4cad08>, 'name': 'Mul1_4746', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,685 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4747', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,685 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4191e0>, 'name': 'Add1_4748', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c36a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,686 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4749', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,686 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d419ae8>, 'name': 'Mul2_4750', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf58488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,686 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4751', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,686 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d419950>, 'name': 'Add2_4752', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12ad90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,687 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,687 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d12e8c8>, 'name': 'Mul1_4755', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d018488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,688 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4756', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,688 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf58400>, 'name': 'Add1_4757', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d018620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,688 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4758', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,688 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf58510>, 'name': 'Mul2_4759', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0180d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,688 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4760', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,689 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf58620>, 'name': 'Add2_4761', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,689 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,690 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1d1d08>, 'name': 'Mul1_4764', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fb620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,690 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4765', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,690 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d018048>, 'name': 'Add1_4766', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fbc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,690 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4767', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,690 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0187b8>, 'name': 'Mul2_4768', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fbf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,691 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4769', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,691 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d018400>, 'name': 'Add2_4770', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,691 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,692 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d44ea60>, 'name': 'Mul1_4773', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,692 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4774', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,693 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d018158>, 'name': 'Add1_4775', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3222f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,693 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4776', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,693 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d018378>, 'name': 'Mul2_4777', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,693 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4778', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,694 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d018598>, 'name': 'Add2_4779', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,694 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,695 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d042d90>, 'name': 'Mul1_4782', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,695 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4783', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,695 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d322400>, 'name': 'Add1_4784', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,695 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4785', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,695 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3227b8>, 'name': 'Mul2_4786', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,696 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4787', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,696 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12e400>, 'name': 'Add2_4788', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4cac80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,696 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,697 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4198c8>, 'name': 'Mul1_4791', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d058378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,697 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4792', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,698 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d016950>, 'name': 'Add1_4793', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d058620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,698 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4794', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,698 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0169d8>, 'name': 'Mul2_4795', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0588c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,698 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4796', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,699 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d016bf8>, 'name': 'Add2_4797', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fbbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,699 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,700 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fd6a8>, 'name': 'Mul1_4800', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4df9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,700 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4801', 'value': None, 'shape': array([  1,   8,   8, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,700 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fb9d8>, 'name': 'Add1_4802', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,700 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4803', 'value': None, 'shape': array([  1,   8,   8, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,700 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fbae8>, 'name': 'Mul2_4804', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c30d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,701 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4805', 'value': None, 'shape': array([  1,   8,   8, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,701 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4cae18>, 'name': 'Add2_4806', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12a950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,701 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,702 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1da048>, 'name': 'Mul1_4809', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d018510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,702 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4810', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,702 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3220d0>, 'name': 'Add1_4811', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,703 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4812', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,703 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d322598>, 'name': 'Mul2_4813', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,703 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4814', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,704 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c3158>, 'name': 'Add2_4815', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,704 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,705 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d417f28>, 'name': 'Mul1_4818', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d05b048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,705 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4819', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,705 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d44e7b8>, 'name': 'Add1_4820', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d05b400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,705 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4821', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,706 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d44e268>, 'name': 'Mul2_4822', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0e9f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,706 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4823', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,706 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d44ed90>, 'name': 'Add2_4824', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,707 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,707 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058e18>, 'name': 'Mul1_4827', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,708 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4828', 'value': None, 'shape': array([  1,  17,  17, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,708 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d44e950>, 'name': 'Add1_4829', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf580d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,708 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4830', 'value': None, 'shape': array([  1,  17,  17, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,708 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d44e1e0>, 'name': 'Mul2_4831', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,709 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4832', 'value': None, 'shape': array([  1,  17,  17, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,709 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d44e378>, 'name': 'Add2_4833', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d283e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,709 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 320]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,710 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4e11e0>, 'name': 'Mul1_4836', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fb510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,710 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4837', 'value': None, 'shape': array([  1,   8,   8, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,710 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12e2f0>, 'name': 'Add1_4838', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fb8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,711 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4839', 'value': None, 'shape': array([  1,   8,   8, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,711 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d12e620>, 'name': 'Mul2_4840', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fb730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,711 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4841', 'value': None, 'shape': array([  1,   8,   8, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,711 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12e6a8>, 'name': 'Add2_4842', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,712 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 320]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,712 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1da840>, 'name': 'Mul1_4845', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ce6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,713 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4846', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,713 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fb6a8>, 'name': 'Add1_4847', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ce950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,713 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4848', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,713 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fb840>, 'name': 'Mul2_4849', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0cebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,714 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4850', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,714 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fb7b8>, 'name': 'Add2_4851', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,714 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,715 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d05b378>, 'name': 'Mul1_4854', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12e488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,715 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4855', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,715 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fbd90>, 'name': 'Add1_4856', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,716 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4857', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,716 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fb950>, 'name': 'Mul2_4858', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d044400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,716 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4859', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,716 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fb598>, 'name': 'Add2_4860', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e1268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,717 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,717 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1da6a8>, 'name': 'Mul1_4863', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d058840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,718 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4864', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,718 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ccf28>, 'name': 'Add1_4865', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d058a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,718 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4866', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,718 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1ccea0>, 'name': 'Mul2_4867', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d058c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,719 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4868', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,719 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d417ea0>, 'name': 'Add2_4869', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d058598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,719 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,720 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d179158>, 'name': 'Mul1_4872', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0d3400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,720 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4873', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,721 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0586a8>, 'name': 'Add1_4874', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3539d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,721 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4875', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,721 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058730>, 'name': 'Mul2_4876', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d353c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,721 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4877', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,722 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d058d08>, 'name': 'Add2_4878', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ce8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,722 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,723 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0d3488>, 'name': 'Mul1_4881', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d1b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,723 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4882', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,723 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0ce2f0>, 'name': 'Add1_4883', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e1510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,724 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4884', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,724 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058d90>, 'name': 'Mul2_4885', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d12ae18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,724 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4886', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,725 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d058bf8>, 'name': 'Add2_4887', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4dfa60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,725 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,726 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d383268>, 'name': 'Mul1_4890', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fbea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,726 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4891', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,726 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d042598>, 'name': 'Add1_4892', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,726 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4893', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,726 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d044378>, 'name': 'Mul2_4894', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,727 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4895', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,727 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12ac80>, 'name': 'Add2_4896', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d05b158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,727 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 448]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,728 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4cad90>, 'name': 'Mul1_4899', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d355488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,728 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4900', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,728 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fd488>, 'name': 'Add1_4901', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3557b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,729 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4902', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,729 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fd1e0>, 'name': 'Mul2_4903', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3559d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,729 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4904', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,729 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fd0d0>, 'name': 'Add2_4905', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d05b0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,730 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,730 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0e9ea0>, 'name': 'Mul1_4908', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4e1620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,731 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4909', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,731 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fd400>, 'name': 'Add1_4910', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d19d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,731 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4911', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,731 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fd158>, 'name': 'Mul2_4912', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1790d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,732 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4913', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,732 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12aae8>, 'name': 'Add2_4914', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c3378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,732 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,733 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4caf28>, 'name': 'Mul1_4917', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0cee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,733 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4918', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,733 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3c9e18>, 'name': 'Add1_4919', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ced08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,734 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4920', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,734 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3c9f28>, 'name': 'Mul2_4921', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0d3048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,734 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4922', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,734 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0181e0>, 'name': 'Add2_4923', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0d3268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,734 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,735 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d018730>, 'name': 'Mul1_4926', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7b02f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,735 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4927', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,736 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0ce488>, 'name': 'Add1_4928', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,736 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4929', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,736 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0ce598>, 'name': 'Mul2_4930', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,736 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4931', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,737 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0d32f0>, 'name': 'Add2_4932', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d355620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,737 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,738 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0a4e18>, 'name': 'Mul1_4935', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44ee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,738 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4936', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,738 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d355730>, 'name': 'Add1_4937', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,739 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4938', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,739 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d355510>, 'name': 'Mul2_4939', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0186a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,739 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4940', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,739 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3556a8>, 'name': 'Add2_4941', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d1c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,740 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,740 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d355048>, 'name': 'Mul1_4944', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fbe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,741 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4945', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,741 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d44ebf8>, 'name': 'Add1_4946', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,741 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4947', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,741 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d44e598>, 'name': 'Mul2_4948', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d05b488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,742 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4949', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,742 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d179048>, 'name': 'Add2_4950', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,742 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,743 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1daa60>, 'name': 'Mul1_4953', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,743 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4954', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,743 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d05b510>, 'name': 'Add1_4955', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,744 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4956', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,744 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d05b2f0>, 'name': 'Mul2_4957', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4302f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,744 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4958', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,745 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d05b1e0>, 'name': 'Add2_4959', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d353d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,745 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,746 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d426b70>, 'name': 'Mul1_4962', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,746 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4963', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,747 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3538c8>, 'name': 'Add1_4964', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3c9d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,747 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4965', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,747 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d353bf8>, 'name': 'Mul2_4966', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d1ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,747 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4967', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,748 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d353d08>, 'name': 'Add2_4968', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44e510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,748 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,749 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1da488>, 'name': 'Mul1_4971', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0d3158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,749 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4972', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,749 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1d1d90>, 'name': 'Add1_4973', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3558c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,749 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4974', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,749 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1d1e18>, 'name': 'Mul2_4975', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3552f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,750 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4976', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,750 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d44e2f0>, 'name': 'Add2_4977', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7b0598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,750 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,751 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058f28>, 'name': 'Mul1_4980', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2938c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,751 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4981', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,751 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d355268>, 'name': 'Add1_4982', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d293b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,752 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4983', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,752 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d355840>, 'name': 'Mul2_4984', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d293e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,752 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4985', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,752 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d355400>, 'name': 'Add2_4986', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7b01e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,753 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 448]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,753 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0a4d90>, 'name': 'Mul1_4989', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,753 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4990', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,754 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0d3378>, 'name': 'Add1_4991', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4196a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,754 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4992', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,754 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0d30d0>, 'name': 'Mul2_4993', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,754 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4994', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,755 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0d31e0>, 'name': 'Add2_4995', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,755 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,756 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058400>, 'name': 'Mul1_4998', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,756 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '4999', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,756 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d419620>, 'name': 'Add1_5000', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,756 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5001', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,756 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d419ea0>, 'name': 'Mul2_5002', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,757 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5003', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,757 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4e1048>, 'name': 'Add2_5004', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d293400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,757 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,758 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d353f28>, 'name': 'Mul1_5007', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,758 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5008', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,758 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d426a60>, 'name': 'Add1_5009', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,759 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5010', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,759 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4269d8>, 'name': 'Mul2_5011', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,759 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5012', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,759 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d426378>, 'name': 'Add2_5013', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d293ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,760 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,760 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d295510>, 'name': 'Mul1_5016', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,761 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5017', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,761 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d293378>, 'name': 'Add1_5018', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1da9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,761 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5019', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,761 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d426598>, 'name': 'Mul2_5020', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4192f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,762 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5021', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,762 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4262f0>, 'name': 'Add2_5022', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d44ec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,762 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,763 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fd598>, 'name': 'Mul1_5025', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d355158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,763 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5026', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,763 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d419048>, 'name': 'Add1_5027', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7b0bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,764 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5028', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,764 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d419840>, 'name': 'Mul2_5029', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7b0268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,764 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5030', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,764 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d419bf8>, 'name': 'Add2_5031', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0a4ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,765 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,765 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058510>, 'name': 'Mul1_5034', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,766 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5035', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,766 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387f7b0378>, 'name': 'Add1_5036', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,766 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5037', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,766 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387f7b0620>, 'name': 'Mul2_5038', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cb488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,767 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5039', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,767 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387f7b0f28>, 'name': 'Add2_5040', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d430378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,767 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,768 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfb9a60>, 'name': 'Mul1_5043', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4df598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,768 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5044', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,768 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387f7b0ea0>, 'name': 'Add1_5045', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d05b268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,769 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5046', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,769 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387f7b0b70>, 'name': 'Mul2_5047', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,769 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5048', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,769 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387f7b0d08>, 'name': 'Add2_5049', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,770 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,770 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058488>, 'name': 'Mul1_5052', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d293bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,771 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5053', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,771 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d016840>, 'name': 'Add1_5054', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d293f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,771 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5055', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,772 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d016d90>, 'name': 'Mul2_5056', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2936a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,772 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5057', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,772 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d124048>, 'name': 'Add2_5058', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d295488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,772 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,773 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d426488>, 'name': 'Mul1_5061', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cbbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,773 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5062', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,774 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d293730>, 'name': 'Add1_5063', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cbea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,774 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5064', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,774 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2937b8>, 'name': 'Mul2_5065', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d150158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,774 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5066', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,775 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2950d0>, 'name': 'Add2_5067', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2951e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,775 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,776 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1cbc80>, 'name': 'Mul1_5070', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d353e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,776 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5071', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,776 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfbc488>, 'name': 'Add1_5072', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d121f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,777 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5073', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,777 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbc048>, 'name': 'Mul2_5074', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fba60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,777 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5075', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,777 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfbc400>, 'name': 'Add2_5076', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d419c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,778 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 448]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,778 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d293510>, 'name': 'Mul1_5079', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d355378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,779 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5080', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,779 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0ef0d0>, 'name': 'Add1_5081', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7b0400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,779 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5082', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,779 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4fbb70>, 'name': 'Mul2_5083', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4301e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,780 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5084', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,780 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fbd08>, 'name': 'Add2_5085', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb99d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,780 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,781 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4df620>, 'name': 'Mul1_5088', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d569a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,781 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5089', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,781 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4300d0>, 'name': 'Add1_5090', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d569d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,782 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5091', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,782 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d430400>, 'name': 'Mul2_5092', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d56a048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,782 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5093', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,783 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d430158>, 'name': 'Add2_5094', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,783 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,784 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d150510>, 'name': 'Mul1_5097', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d121e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,784 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5098', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,784 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3551e0>, 'name': 'Add1_5099', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d353ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,784 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5100', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,785 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d355598>, 'name': 'Mul2_5101', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,785 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5102', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,785 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3550d0>, 'name': 'Add2_5103', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d426d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,785 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,786 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1da0d0>, 'name': 'Mul1_5106', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cbf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,786 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5107', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,786 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf56d08>, 'name': 'Add1_5108', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cb620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,787 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5109', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,787 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4268c8>, 'name': 'Mul2_5110', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cb9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,787 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5111', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:13,787 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d426d08>, 'name': 'Add2_5112', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cb378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:13,787 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:13,798 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:13,984 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Conv2d_1a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Conv2d_2a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Conv2d_2b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
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InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
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InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
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InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read/Output_0/Data_
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InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
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InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
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InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
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InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
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InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_mean/read/Output_0/Data_
InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/moving_variance/read/Output_0/Data_
InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm
InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm
[ 2018-10-17 17:08:14,005 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:14,176 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:14,242 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4d1488>, 'name': 'Mul1_/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4129d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,242 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5116', 'value': None, 'shape': array([  1, 149, 149,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,242 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3b20d0>, 'name': 'Add1_/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d412840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,243 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 149, 149,  32]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,243 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,245 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48e378>, 'name': 'Mul1_3783/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,245 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5121', 'value': None, 'shape': array([  1, 147, 147,  32]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,245 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ef7b8>, 'name': 'Add1_3785/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,246 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 147, 147,  32]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,246 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,247 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f3e18>, 'name': 'Mul1_3792/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,248 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5126', 'value': None, 'shape': array([  1, 147, 147,  64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,248 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387e0a4268>, 'name': 'Add1_3794/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,248 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 147, 147,  64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,248 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,250 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0f02f0>, 'name': 'Mul1_3801/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,251 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5131', 'value': None, 'shape': array([ 1, 73, 73, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,251 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0f00d0>, 'name': 'Add1_3803/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,251 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,251 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,253 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4d12f0>, 'name': 'Mul1_3828/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d412ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,254 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5136', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,254 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3b21e0>, 'name': 'Add1_3830/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4127b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,254 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,254 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,256 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfa0d90>, 'name': 'Mul1_3837/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55f950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,257 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5141', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,257 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d413048>, 'name': 'Add1_3839/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55f9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,257 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,257 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,259 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfc9378>, 'name': 'Mul1_3846/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,260 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5146', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,260 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d388ae8>, 'name': 'Add1_3848/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,260 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,260 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,263 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2b3158>, 'name': 'Mul1_3855/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d146d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,263 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5151', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,263 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0150d0>, 'name': 'Add1_3857/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,264 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 71, 71, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,264 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,265 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d015158>, 'name': 'Mul1_3810/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d412bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,266 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5156', 'value': None, 'shape': array([ 1, 73, 73, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,266 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1bc048>, 'name': 'Add1_3812/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0587b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,266 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 73, 73, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,266 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,268 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfa0f28>, 'name': 'Mul1_3819/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3b22f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,269 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5161', 'value': None, 'shape': array([ 1, 71, 71, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,269 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4128c8>, 'name': 'Add1_3821/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a41e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,269 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 71, 71, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,269 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,272 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5bbc80>, 'name': 'Mul1_3864/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0f0048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,272 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5166', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,272 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d383ea0>, 'name': 'Add1_3866/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b3378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,272 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  35,  35, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,273 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,275 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2b3598>, 'name': 'Mul1_3927/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3887b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,275 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5171', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,276 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ef1e0>, 'name': 'Add1_3929/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,276 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,276 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,278 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7950>, 'name': 'Mul1_3900/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,278 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5176', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,279 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d55f400>, 'name': 'Add1_3902/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,279 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,279 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,282 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfa0ea0>, 'name': 'Mul1_3909/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,282 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5181', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,282 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b2840>, 'name': 'Add1_3911/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d01aea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,283 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,283 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,284 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf848c8>, 'name': 'Mul1_3918/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,285 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5186', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,285 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3bcbf8>, 'name': 'Add1_3920/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0efa60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,285 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,285 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,287 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2b36a8>, 'name': 'Mul1_3882/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,288 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5191', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,288 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3bcb70>, 'name': 'Add1_3884/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,288 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,288 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,290 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d166488>, 'name': 'Mul1_3891/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,291 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5196', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,291 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfc92f0>, 'name': 'Add1_3893/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,291 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,291 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,294 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfa0bf8>, 'name': 'Mul1_3873/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,294 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5201', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,294 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d55fae8>, 'name': 'Add1_3875/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,295 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,295 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,297 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e767b70>, 'name': 'Mul1_3990/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,297 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5206', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,297 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1662f0>, 'name': 'Add1_3992/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,298 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,298 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,300 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0efd90>, 'name': 'Mul1_3963/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a4ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,300 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5211', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,300 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3bc400>, 'name': 'Add1_3965/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a4d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,301 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,301 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,302 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d166730>, 'name': 'Mul1_3972/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,303 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5216', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,303 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b29d8>, 'name': 'Add1_3974/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0589d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,303 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,304 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,305 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f36a8>, 'name': 'Mul1_3981/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1950d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,306 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5221', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,306 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84ae8>, 'name': 'Add1_3983/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,306 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,306 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,309 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7e18>, 'name': 'Mul1_3945/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,309 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5226', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,310 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d015048>, 'name': 'Add1_3947/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c79d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,310 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,310 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,312 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3bc488>, 'name': 'Mul1_3954/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4137b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,312 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5231', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,312 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3b2048>, 'name': 'Add1_3956/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d413378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,313 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,313 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,315 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d058b70>, 'name': 'Mul1_3936/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,315 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5236', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,316 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b32f0>, 'name': 'Add1_3938/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,316 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,316 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,318 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2b31e0>, 'name': 'Mul1_4053/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,318 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5241', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,319 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387e0a4bf8>, 'name': 'Add1_4055/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,319 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,319 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,321 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d015378>, 'name': 'Mul1_4026/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,321 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5246', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,322 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d166840>, 'name': 'Add1_4028/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,322 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,322 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,324 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d146a60>, 'name': 'Mul1_4035/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,325 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5251', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,325 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48ed08>, 'name': 'Add1_4037/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,325 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,325 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,327 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0a4f28>, 'name': 'Mul1_4044/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b28c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,328 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5256', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,328 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b30d0>, 'name': 'Add1_4046/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b27b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,328 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,328 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,330 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e767f28>, 'name': 'Mul1_4008/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,330 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5261', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,331 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfb9d08>, 'name': 'Add1_4010/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bca60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,331 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,331 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,333 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0151e0>, 'name': 'Mul1_4017/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a40d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,333 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5266', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,334 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3bc7b8>, 'name': 'Add1_4019/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a4950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,334 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,334 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,336 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d193e18>, 'name': 'Mul1_3999/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,336 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5271', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,336 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b2598>, 'name': 'Add1_4001/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0efe18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,337 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,337 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,339 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0ef268>, 'name': 'Mul1_4116/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4f2e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,339 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5276', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,340 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ef840>, 'name': 'Add1_4118/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55f8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,340 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,340 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,342 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d374950>, 'name': 'Mul1_4089/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,342 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5281', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,342 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3889d8>, 'name': 'Add1_4091/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,343 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,343 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,345 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe7b8>, 'name': 'Mul1_4098/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf846a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,345 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5286', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,345 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d371bf8>, 'name': 'Add1_4100/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1bc1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,345 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,346 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,348 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3881e0>, 'name': 'Mul1_4107/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0efb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,348 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5291', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,348 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d412620>, 'name': 'Add1_4109/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,349 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,349 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,351 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0ef2f0>, 'name': 'Mul1_4071/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5bb840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,351 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5296', 'value': None, 'shape': array([ 1, 35, 35, 64]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,351 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d026e18>, 'name': 'Add1_4073/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1bc0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,351 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 64]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,352 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,353 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5bb8c8>, 'name': 'Mul1_4080/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,354 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5301', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,354 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5c7400>, 'name': 'Add1_4082/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,354 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,354 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,356 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe400>, 'name': 'Mul1_4062/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55f7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,357 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5306', 'value': None, 'shape': array([ 1, 35, 35, 96]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,357 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5c71e0>, 'name': 'Add1_4064/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55f840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,357 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([ 1, 35, 35, 96]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,357 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,359 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e0a4d90>, 'name': 'Mul1_4134/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,360 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5311', 'value': None, 'shape': array([  1,  35,  35, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,360 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfa0b70>, 'name': 'Add1_4136/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b3510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,360 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  35,  35, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,360 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,363 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0ef950>, 'name': 'Mul1_4143/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,363 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5316', 'value': None, 'shape': array([  1,  35,  35, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,364 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d412730>, 'name': 'Add1_4145/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,364 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  35,  35, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,364 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,367 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1bc158>, 'name': 'Mul1_4152/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3886a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,367 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5321', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,367 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d195400>, 'name': 'Add1_4154/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,368 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,368 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,370 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3bc6a8>, 'name': 'Mul1_4125/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,371 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5326', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,371 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b2e18>, 'name': 'Add1_4127/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2efbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,371 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,371 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,374 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4d1378>, 'name': 'Mul1_4242/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,374 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5331', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,374 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d43ed08>, 'name': 'Add1_4244/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,374 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,375 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,377 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d446bf8>, 'name': 'Mul1_4197/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2aeb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,377 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5336', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,377 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d55f730>, 'name': 'Add1_4199/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5c7730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,377 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,377 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,380 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0152f0>, 'name': 'Mul1_4206/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3b2268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,381 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5341', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,381 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45fc80>, 'name': 'Add1_4208/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1bc2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,381 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,381 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,384 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3442f0>, 'name': 'Mul1_4215/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,384 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5346', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,384 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d413488>, 'name': 'Add1_4217/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,384 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,384 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,387 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e6e5ea0>, 'name': 'Mul1_4224/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d413598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,387 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5351', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,387 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3bcd08>, 'name': 'Add1_4226/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4131e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,388 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,388 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,390 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2ef620>, 'name': 'Mul1_4233/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,390 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5356', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,390 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84c80>, 'name': 'Add1_4235/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,391 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,391 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,393 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe0d0>, 'name': 'Mul1_4170/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55f510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,394 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5361', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,394 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45fbf8>, 'name': 'Add1_4172/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55fb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,394 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,394 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,396 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d371c80>, 'name': 'Mul1_4179/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbcea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,397 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5366', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,397 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2f3b70>, 'name': 'Add1_4181/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbcc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,397 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,397 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,400 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbc158>, 'name': 'Mul1_4188/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d412f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,400 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5371', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,400 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d43e8c8>, 'name': 'Add1_4190/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0660d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,401 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,401 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,403 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d43eea0>, 'name': 'Mul1_4161/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d195488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,404 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5376', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,404 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfb98c8>, 'name': 'Add1_4163/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,404 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,404 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,407 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe510>, 'name': 'Mul1_4332/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfc91e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,407 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5381', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,407 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1468c8>, 'name': 'Add1_4334/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,408 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,408 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,410 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1bc268>, 'name': 'Mul1_4287/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,411 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5386', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,411 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ef2f0>, 'name': 'Add1_4289/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,411 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,411 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,414 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0ef620>, 'name': 'Mul1_4296/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b20d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,414 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5391', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,414 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d251ae8>, 'name': 'Add1_4298/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,414 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,415 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,417 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e767e18>, 'name': 'Mul1_4305/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d036048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,417 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5396', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,417 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d388620>, 'name': 'Add1_4307/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d036268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,417 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,418 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,420 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387f7d88c8>, 'name': 'Mul1_4314/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4126a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,420 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5401', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,420 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d388510>, 'name': 'Add1_4316/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d501c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,421 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,421 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,423 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfc9268>, 'name': 'Mul1_4323/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d036730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,424 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5406', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,424 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446378>, 'name': 'Add1_4325/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbce18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,424 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,424 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,426 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d503f28>, 'name': 'Mul1_4260/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,427 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5411', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,427 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d026d08>, 'name': 'Add1_4262/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a4158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,427 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,427 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,429 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2f3ea0>, 'name': 'Mul1_4269/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1ada60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,430 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5416', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,430 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45f7b8>, 'name': 'Add1_4271/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,430 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,430 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,433 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d146c80>, 'name': 'Mul1_4278/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43e7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,433 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5421', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,433 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d412b70>, 'name': 'Add1_4280/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,433 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,433 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,436 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe2f0>, 'name': 'Mul1_4251/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b3268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,437 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5426', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,437 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d195840>, 'name': 'Add1_4253/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,437 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,437 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,439 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d506048>, 'name': 'Mul1_4422/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4c2268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,440 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5431', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,440 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b26a8>, 'name': 'Add1_4424/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2aec80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,440 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,440 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,442 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1add08>, 'name': 'Mul1_4377/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a4378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,443 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5436', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,443 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d371ae8>, 'name': 'Add1_4379/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,443 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,443 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,445 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d388268>, 'name': 'Mul1_4386/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bcc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,446 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5441', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,446 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d413268>, 'name': 'Add1_4388/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbcbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,446 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,446 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,449 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5060d0>, 'name': 'Mul1_4395/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0f01e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,449 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5446', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,449 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfbc620>, 'name': 'Add1_4397/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,450 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,450 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,452 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbc268>, 'name': 'Mul1_4404/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,452 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5451', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,453 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d50ae18>, 'name': 'Add1_4406/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,453 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,453 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,456 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3718c8>, 'name': 'Mul1_4413/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,456 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5456', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,457 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d193f28>, 'name': 'Add1_4415/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d066268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,457 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,457 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,459 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1adea0>, 'name': 'Mul1_4350/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d036488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,459 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5461', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,459 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4461e0>, 'name': 'Add1_4352/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0360d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,460 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,460 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,462 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d383f28>, 'name': 'Mul1_4359/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0f0158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,463 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5466', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,463 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503268>, 'name': 'Add1_4361/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,463 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,463 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,465 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d106ea0>, 'name': 'Mul1_4368/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45fa60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,466 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5471', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,466 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d50aea0>, 'name': 'Add1_4370/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d371840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,466 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,466 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,469 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0efae8>, 'name': 'Mul1_4341/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,469 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5476', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,470 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d388840>, 'name': 'Add1_4343/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e767d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,470 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,470 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,472 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0661e0>, 'name': 'Mul1_4512/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3831e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,472 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5481', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,473 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4d1158>, 'name': 'Add1_4514/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,473 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,473 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,475 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3836a8>, 'name': 'Mul1_4467/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4136a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,476 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5486', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,476 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3bcae8>, 'name': 'Add1_4469/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d412d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,476 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,476 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,478 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0f0378>, 'name': 'Mul1_4476/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d179400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,479 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5491', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,479 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344598>, 'name': 'Add1_4478/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1796a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,479 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,479 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,482 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe378>, 'name': 'Mul1_4485/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,482 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5496', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,482 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344488>, 'name': 'Add1_4487/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,482 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,482 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,485 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfb9f28>, 'name': 'Mul1_4494/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d179c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,485 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5501', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,485 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfbcd90>, 'name': 'Add1_4496/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d178048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,486 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,486 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,488 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0366a8>, 'name': 'Mul1_4503/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55fa60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,488 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5506', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,488 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ef510>, 'name': 'Add1_4505/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50ad90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,489 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,489 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,491 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2b2158>, 'name': 'Mul1_4440/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387e0a4ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,491 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5511', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,492 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5c7488>, 'name': 'Add1_4442/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,492 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,492 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,494 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45fd08>, 'name': 'Mul1_4449/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,495 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5516', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,495 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3809d8>, 'name': 'Add1_4451/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,495 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,495 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,498 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe488>, 'name': 'Mul1_4458/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,498 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5521', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,498 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0ef598>, 'name': 'Add1_4460/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c1d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,499 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,499 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,502 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0ef7b8>, 'name': 'Mul1_4431/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1adbf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,502 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5526', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,502 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d374400>, 'name': 'Add1_4433/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,502 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,502 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,505 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45fea0>, 'name': 'Mul1_4602/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfc9400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,505 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5531', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,505 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2ae9d8>, 'name': 'Add1_4604/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,505 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,505 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,508 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d50abf8>, 'name': 'Mul1_4557/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1cce18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,508 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5536', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,508 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d43ea60>, 'name': 'Add1_4559/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0361e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,508 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,508 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,511 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d179ea0>, 'name': 'Mul1_4566/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4d1510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,511 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5541', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,512 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0eff28>, 'name': 'Add1_4568/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c1e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,512 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,512 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,514 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbcd08>, 'name': 'Mul1_4575/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d193a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,515 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5546', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,515 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3748c8>, 'name': 'Add1_4577/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,515 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,515 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,518 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d53e048>, 'name': 'Mul1_4584/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,518 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5551', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,518 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ad950>, 'name': 'Add1_4586/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4130d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,519 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,519 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,521 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfc9158>, 'name': 'Mul1_4593/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d383a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,521 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5556', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,521 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d31e9d8>, 'name': 'Add1_4595/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,522 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,522 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,524 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1792f0>, 'name': 'Mul1_4530/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,524 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5561', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,525 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf56488>, 'name': 'Add1_4532/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d251b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,525 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,525 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,527 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d31e8c8>, 'name': 'Mul1_4539/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d45f1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,527 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5566', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,528 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d55f268>, 'name': 'Add1_4541/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2e3158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,528 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,528 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,531 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2c8f28>, 'name': 'Mul1_4548/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2efc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,531 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5571', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,531 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cf84bf8>, 'name': 'Add1_4550/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,532 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,532 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,534 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d413730>, 'name': 'Mul1_4521/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d179510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,535 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5576', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,535 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5032f0>, 'name': 'Add1_4523/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,535 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,535 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,538 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d371d90>, 'name': 'Mul1_4692/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2efb70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,538 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5581', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,538 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503c80>, 'name': 'Add1_4694/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2efa60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,538 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,539 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,541 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0f0268>, 'name': 'Mul1_4647/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,541 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5586', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,541 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387e0a4c80>, 'name': 'Add1_4649/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0efc80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,542 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,542 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,544 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45fb70>, 'name': 'Mul1_4656/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d048ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,545 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5591', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,545 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d55f6a8>, 'name': 'Add1_4658/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,545 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,545 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,547 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2efd90>, 'name': 'Mul1_4665/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4906a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,548 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5596', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,548 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d015268>, 'name': 'Add1_4667/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d179950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,548 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,549 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,551 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0efea0>, 'name': 'Mul1_4674/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d374158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,551 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5601', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,551 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfbc7b8>, 'name': 'Add1_4676/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b2620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,552 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,552 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,554 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d026c80>, 'name': 'Mul1_4683/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d044488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,554 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5606', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,555 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ad598>, 'name': 'Add1_4685/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48ee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,555 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,555 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,557 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387e0a4048>, 'name': 'Mul1_4620/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d036158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,557 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5611', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,558 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1c1950>, 'name': 'Add1_4622/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d036378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,558 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,558 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,560 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45f950>, 'name': 'Mul1_4629/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,561 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5616', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,561 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5c7268>, 'name': 'Add1_4631/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5039d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,561 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,561 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,563 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d036598>, 'name': 'Mul1_4638/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf84f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,564 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5621', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,564 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d446598>, 'name': 'Add1_4640/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,564 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,564 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,567 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d193b70>, 'name': 'Mul1_4611/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d501ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,567 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5626', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,568 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d388b70>, 'name': 'Add1_4613/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d380ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,568 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,568 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,570 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48e950>, 'name': 'Mul1_4782/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d179378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,570 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5631', 'value': None, 'shape': array([  1,  17,  17, 128]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,571 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfbc950>, 'name': 'Add1_4784/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d179d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,571 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 128]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,571 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,573 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d45f488>, 'name': 'Mul1_4737/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,574 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5636', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,574 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d179f28>, 'name': 'Add1_4739/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,574 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,574 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,576 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d179488>, 'name': 'Mul1_4746/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d016c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,577 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5641', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,577 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d413400>, 'name': 'Add1_4748/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1adf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,577 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,577 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,579 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d490ae8>, 'name': 'Mul1_4755/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,580 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5646', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,580 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d388598>, 'name': 'Add1_4757/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d026d90>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,580 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,580 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,583 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3b2158>, 'name': 'Mul1_4764/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,583 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5651', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,583 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d042bf8>, 'name': 'Add1_4766/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3832f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,584 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,584 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,586 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d371e18>, 'name': 'Mul1_4773/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31eae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,587 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5656', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,587 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2e32f0>, 'name': 'Add1_4775/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d166b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,587 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,587 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,589 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2e31e0>, 'name': 'Mul1_4710/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4900d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,590 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5661', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,590 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4f2d90>, 'name': 'Add1_4712/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d490950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,590 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,590 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,593 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d146d90>, 'name': 'Mul1_4719/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4d1268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,593 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5666', 'value': None, 'shape': array([  1,  17,  17, 224]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,593 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344d08>, 'name': 'Add1_4721/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d048d08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,594 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 224]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,594 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,596 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d3c9ea0>, 'name': 'Mul1_4728/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,597 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5671', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,597 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12ad90>, 'name': 'Add1_4730/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48dea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,597 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,597 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,600 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48df28>, 'name': 'Mul1_4701/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1c18c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,601 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5676', 'value': None, 'shape': array([  1,  17,  17, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,601 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d036510>, 'name': 'Add1_4703/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43ee18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,601 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,602 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,604 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbc840>, 'name': 'Mul1_4809/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d206378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,604 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5681', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,604 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d50a9d8>, 'name': 'Add1_4811/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2066a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,605 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,605 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,608 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d193840>, 'name': 'Mul1_4818/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,608 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5686', 'value': None, 'shape': array([  1,  17,  17, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,608 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d2b2048>, 'name': 'Add1_4820/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5036a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,609 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,609 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,611 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d417d90>, 'name': 'Mul1_4827/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbe6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,611 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5691', 'value': None, 'shape': array([  1,  17,  17, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,612 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1797b8>, 'name': 'Add1_4829/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,612 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 320]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,612 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,615 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2aee18>, 'name': 'Mul1_4836/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4467b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,615 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5696', 'value': None, 'shape': array([  1,   8,   8, 320]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,615 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d12ab70>, 'name': 'Add1_4838/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2b3730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,616 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 320]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,616 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,618 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d048d90>, 'name': 'Mul1_4791/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f39d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,618 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5701', 'value': None, 'shape': array([  1,  17,  17, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,619 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d344b70>, 'name': 'Add1_4793/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2efae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,619 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,  17,  17, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,623 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,628 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d48e8c8>, 'name': 'Mul1_4800/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48dae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,628 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5706', 'value': None, 'shape': array([  1,   8,   8, 192]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,628 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d503400>, 'name': 'Add1_4802/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d48d0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,628 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 192]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,629 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,631 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d016ae8>, 'name': 'Mul1_4926/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d179b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,632 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5711', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,632 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3888c8>, 'name': 'Add1_4928/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d1950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,632 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,632 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,635 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c7158>, 'name': 'Mul1_4881/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d044598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,635 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5716', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,635 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfbcf28>, 'name': 'Add1_4883/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d55f598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,636 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,636 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,639 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbe8c8>, 'name': 'Mul1_4890/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d446950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,639 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5721', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,639 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4dfd08>, 'name': 'Add1_4892/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d43ebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,639 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 448]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,639 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,642 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d026bf8>, 'name': 'Mul1_4899/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d490a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,642 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5726', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,643 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fbc80>, 'name': 'Add1_4901/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4907b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,643 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,643 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,645 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d5c76a8>, 'name': 'Mul1_4917/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d178488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,646 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5731', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,646 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d490730>, 'name': 'Add1_4919/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1957b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,646 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,646 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,649 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d1d1b70>, 'name': 'Mul1_4908/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d344400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,649 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5736', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,649 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d31ed08>, 'name': 'Add1_4910/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4df9d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,649 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,649 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,652 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d206730>, 'name': 'Mul1_4854/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,652 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5741', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,653 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d058620>, 'name': 'Add1_4856/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,653 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,653 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,655 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d251ea0>, 'name': 'Mul1_4872/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ae8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,656 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5746', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,656 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d036400>, 'name': 'Add1_4874/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,656 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,656 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,659 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d016730>, 'name': 'Mul1_4863/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,659 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5751', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,659 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48da60>, 'name': 'Add1_4865/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5031e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,660 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,660 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,662 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d195158>, 'name': 'Mul1_4845/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d206620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,663 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5756', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,663 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d412950>, 'name': 'Add1_4847/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfaf488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,663 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,663 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,666 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d206598>, 'name': 'Mul1_5016/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,666 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5761', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,666 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0446a8>, 'name': 'Add1_5018/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d5030d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,667 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,667 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,669 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0e9f28>, 'name': 'Mul1_4971/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfaf598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,670 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5766', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,670 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1798c8>, 'name': 'Add1_4973/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf9c268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,670 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,670 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,673 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfafa60>, 'name': 'Mul1_4980/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d503950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,673 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5771', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,673 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48d9d8>, 'name': 'Add1_4982/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,674 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 448]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,674 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,677 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387f7b01e0>, 'name': 'Mul1_4989/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d070268>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,677 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5776', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,677 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d55fbf8>, 'name': 'Add1_4991/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d070510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,678 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,678 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,680 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf9c488>, 'name': 'Mul1_5007/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,681 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5781', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,681 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d3740d0>, 'name': 'Add1_5009/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fbf28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,681 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,681 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,684 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cfbca60>, 'name': 'Mul1_4998/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0709d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,684 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5786', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,684 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d48d598>, 'name': 'Add1_5000/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d388400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,685 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,685 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,687 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d016b70>, 'name': 'Mul1_4944/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef8c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,688 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5791', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,688 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1781e0>, 'name': 'Add1_4946/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2f3c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,688 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,688 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,691 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d166950>, 'name': 'Mul1_4962/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d413620>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,691 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5796', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,692 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d383598>, 'name': 'Add1_4964/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d2ef6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,692 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,692 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,694 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0440d0>, 'name': 'Mul1_4953/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4908c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,695 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5801', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,695 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4fbbf8>, 'name': 'Add1_4955/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d490400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,696 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,696 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,698 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4dfae8>, 'name': 'Mul1_4935/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387f7b0598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,699 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5806', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,699 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0166a8>, 'name': 'Add1_4937/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0ef840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,699 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,699 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,702 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d490048>, 'name': 'Mul1_5106/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d50ad08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,702 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5811', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,702 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d5038c8>, 'name': 'Add1_5108/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d0180d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,703 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,703 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,706 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387cf9c400>, 'name': 'Mul1_5061/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d31ebf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,706 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5816', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,706 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfb9ae8>, 'name': 'Add1_5063/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc2f0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,707 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,707 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,709 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d412a60>, 'name': 'Mul1_5070/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfaf950>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,714 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5821', 'value': None, 'shape': array([  1,   8,   8, 448]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,714 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d4cac80>, 'name': 'Add1_5072/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfaf7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,715 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 448]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,715 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,718 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4dfa60>, 'name': 'Mul1_5079/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d1d18c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,718 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5826', 'value': None, 'shape': array([  1,   8,   8, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,718 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387cfaf378>, 'name': 'Add1_5081/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d283f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,719 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,719 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,721 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d0efd08>, 'name': 'Mul1_5097/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfb9840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,721 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5831', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,721 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d31ee18>, 'name': 'Add1_5099/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf9c598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,722 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,722 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,724 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d070bf8>, 'name': 'Mul1_5088/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d3bc1e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,725 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5836', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,725 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d1ade18>, 'name': 'Add1_5090/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfbc6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,725 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,725 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,728 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2ef730>, 'name': 'Mul1_5034/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cfaf0d0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,728 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5841', 'value': None, 'shape': array([  1,   8,   8, 384]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,729 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d179d90>, 'name': 'Add1_5036/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d206400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,729 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 384]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,729 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,732 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d4dfbf8>, 'name': 'Mul1_5052/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fb510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,732 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5846', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,732 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d45f598>, 'name': 'Add1_5054/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387cf56ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,733 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,733 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,735 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d2e30d0>, 'name': 'Mul1_5043/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d070b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,735 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5851', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,735 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d251d08>, 'name': 'Add1_5045/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4311e0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,736 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,736 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,738 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Mul.__init__.<locals>.<lambda> at 0x7f387d431620>, 'name': 'Mul1_5025/Fused_Mul_', 'op': 'Mul', 'operation': 'mul', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d4fd510>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,738 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '5856', 'value': None, 'shape': array([  1,   8,   8, 256]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride']}
[ 2018-10-17 17:08:14,739 ] [ DEBUG ] [ op:168 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'can_be_bias': True, 'can_be_fused': True, 'type': 'Eltwise', 'infer': <function Add.__init__.<locals>.<lambda> at 0x7f387d0588c8>, 'name': 'Add1_5027/Fused_Add_', 'op': 'Add', 'operation': 'sum', 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f387d042e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2018-10-17 17:08:14,739 ] [ DEBUG ] [ op:177 ]  Finished running infer function, data nodes attributes: {'name': 'InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_', 'kind': 'data', 'shape': array([  1,   8,   8, 256]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'channel_dims', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['pad', 'output_shape', 'window', 'shape', 'stride'], 'fw_tensor_debug_info': [('InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2018-10-17 17:08:14,739 ] [ DEBUG ] [ fuse_linear_seq:124 ]  Fused 4 operations
[ 2018-10-17 17:08:14,850 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:14,974 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:15,025 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_/Fused_Mul_ to InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,026 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_/Fused_Add_ to InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,027 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3783/Fused_Mul_ to InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Conv2D
[ 2018-10-17 17:08:15,028 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3785/Fused_Add_ to InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Conv2D
[ 2018-10-17 17:08:15,028 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3792/Fused_Mul_ to InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Conv2D
[ 2018-10-17 17:08:15,029 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3794/Fused_Add_ to InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Conv2D
[ 2018-10-17 17:08:15,030 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3801/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D
[ 2018-10-17 17:08:15,031 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3803/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D
[ 2018-10-17 17:08:15,031 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3828/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,032 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3830/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,033 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3837/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,033 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3839/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,034 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3846/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,035 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3848/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,036 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3855/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,037 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3857/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,037 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3810/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,038 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3812/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,039 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3819/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,040 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3821/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,042 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3864/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,043 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3866/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,044 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3927/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,044 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3929/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,045 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3900/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,046 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3902/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,047 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3909/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,047 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3911/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,048 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3918/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,049 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3920/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,050 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3882/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,051 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3884/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,052 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3891/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,052 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3893/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,053 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3873/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,054 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3875/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,055 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3990/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,055 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3992/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,056 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3963/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,057 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3965/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,058 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3972/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,058 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3974/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,059 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3981/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,060 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3983/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,061 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3945/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,062 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3947/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,062 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3954/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,063 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3956/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,064 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3936/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,065 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_3938/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,065 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4053/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,066 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4055/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,067 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4026/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,068 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4028/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,069 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4035/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,069 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4037/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,070 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4044/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,071 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4046/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,072 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4008/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,073 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4010/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,073 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4017/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,074 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4019/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,075 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_3999/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,076 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4001/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,076 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4116/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,077 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4118/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,078 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4089/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,078 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4091/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,079 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4098/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,080 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4100/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,081 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4107/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,082 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4109/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:15,082 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4071/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,083 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4073/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,084 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4080/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,085 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4082/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,085 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4062/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,086 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4064/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,087 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4134/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,088 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4136/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,090 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4143/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,091 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4145/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:15,093 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4152/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,094 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4154/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,097 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4125/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,098 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4127/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,099 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4242/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,099 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4244/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,101 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4197/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,101 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4199/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,102 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4206/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,103 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4208/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,104 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4215/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,105 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4217/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,107 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4224/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,107 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4226/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,109 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4233/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,110 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4235/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,111 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4170/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,112 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4172/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,113 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4179/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,113 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4181/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,115 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4188/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,116 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4190/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,118 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4161/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,119 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4163/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,120 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4332/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,120 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4334/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,122 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4287/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,122 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4289/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,124 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4296/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,125 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4298/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,126 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4305/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,127 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4307/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,129 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4314/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,130 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4316/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,131 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4323/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,132 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4325/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,133 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4260/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,134 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4262/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,136 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4269/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,136 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4271/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,138 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4278/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,139 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4280/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,141 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4251/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,142 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4253/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,143 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4422/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,143 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4424/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,144 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4377/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,145 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4379/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,146 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4386/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,147 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4388/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,149 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4395/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,149 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4397/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,151 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4404/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,152 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4406/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,154 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4413/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,154 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4415/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,156 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4350/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,156 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4352/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,158 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4359/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,158 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4361/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,160 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4368/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,161 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4370/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,162 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4341/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,163 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4343/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,164 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4512/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,165 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4514/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,166 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4467/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,167 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4469/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,168 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4476/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,169 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4478/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,170 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4485/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,171 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4487/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,173 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4494/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,174 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4496/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,176 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4503/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,176 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4505/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,177 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4440/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,178 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4442/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,179 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4449/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,180 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4451/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,182 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4458/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,183 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4460/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,184 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4431/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,185 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4433/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,186 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4602/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,187 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4604/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,188 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4557/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,188 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4559/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,189 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4566/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,190 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4568/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,192 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4575/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,193 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4577/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,195 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4584/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,195 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4586/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,197 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4593/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,198 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4595/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,199 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4530/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,200 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4532/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,201 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4539/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,202 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4541/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,204 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4548/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,205 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4550/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,206 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4521/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,207 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4523/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,208 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4692/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,209 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4694/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,210 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4647/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,211 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4649/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,212 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4656/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,212 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4658/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,214 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4665/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,215 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4667/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,217 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4674/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,217 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4676/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,219 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4683/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,220 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4685/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,221 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4620/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,222 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4622/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,223 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4629/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,224 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4631/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,226 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4638/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,227 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4640/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,229 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4611/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,229 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4613/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,230 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4782/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,231 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4784/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,232 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4737/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,233 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4739/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,234 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4746/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,234 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4748/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:15,236 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4755/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,237 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4757/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:15,239 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4764/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,239 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4766/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:15,242 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4773/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,242 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4775/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:15,244 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4710/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,244 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4712/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,246 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4719/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,247 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4721/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,248 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4728/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,249 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4730/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,251 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4701/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,252 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4703/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,253 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4809/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,254 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4811/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,256 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4818/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,256 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4820/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:15,259 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4827/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,259 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4829/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:15,262 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4836/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,263 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4838/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,264 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4791/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,265 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4793/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,266 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4800/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,267 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4802/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:15,272 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4926/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,272 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4928/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,275 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4881/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,276 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4883/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,278 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4890/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:15,279 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4892/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:15,281 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4899/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:15,282 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4901/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:15,284 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4917/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:15,284 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4919/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:15,287 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4908/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:15,288 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4910/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:15,289 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4854/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,290 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4856/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,291 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4872/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:15,292 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4874/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:15,294 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4863/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:15,294 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4865/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:15,296 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4845/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,297 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4847/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,299 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5016/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,300 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5018/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,302 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4971/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,303 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4973/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,305 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4980/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:15,306 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4982/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:15,309 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4989/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:15,310 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4991/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:15,312 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5007/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:15,312 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5009/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:15,314 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4998/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:15,315 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5000/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:15,317 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4944/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,318 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4946/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,319 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4962/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:15,320 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4964/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:15,321 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4953/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:15,322 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4955/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:15,323 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_4935/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,324 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_4937/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,326 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5106/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,327 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5108/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:15,329 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5061/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,330 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5063/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,332 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5070/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:15,333 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5072/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:15,335 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5079/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:15,336 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5081/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:15,337 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5097/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:15,338 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5099/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:15,340 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5088/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:15,341 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5090/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:15,343 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5034/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,344 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5036/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,345 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5052/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:15,346 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5054/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:15,347 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5043/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:15,348 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5045/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:15,349 ] [ DEBUG ] [ fuse_linear_ops:122 ]  Fused: Mul1_5025/Fused_Mul_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,350 ] [ DEBUG ] [ fuse_linear_ops:214 ]  Fused: Add1_5027/Fused_Add_ to InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:15,413 ] [ DEBUG ] [ fuse_linear_ops:280 ]  Fused 298 nodes
[ 2018-10-17 17:08:15,418 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:15,526 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 5116
5121
5126
5131
5136
5141
5146
5151
5156
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5181
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5306
5311
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5341
5346
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5376
5381
5386
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5401
5406
5411
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5441
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5471
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5481
5486
5491
5496
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Add1_/Fused_Add_
Add1_3785/Fused_Add_
Add1_3794/Fused_Add_
Add1_3803/Fused_Add_
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Add1_3821/Fused_Add_
Add1_3830/Fused_Add_
Add1_3839/Fused_Add_
Add1_3848/Fused_Add_
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Add1_4199/Fused_Add_
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Add1_4217/Fused_Add_
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Add1_4253/Fused_Add_
Add1_4262/Fused_Add_
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Add1_4280/Fused_Add_
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Add1_4388/Fused_Add_
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Add1_4406/Fused_Add_
Add1_4415/Fused_Add_
Add1_4424/Fused_Add_
Add1_4433/Fused_Add_
Add1_4442/Fused_Add_
Add1_4451/Fused_Add_
Add1_4460/Fused_Add_
Add1_4469/Fused_Add_
Add1_4478/Fused_Add_
Add1_4487/Fused_Add_
Add1_4496/Fused_Add_
Add1_4505/Fused_Add_
Add1_4514/Fused_Add_
Add1_4523/Fused_Add_
Add1_4532/Fused_Add_
Add1_4541/Fused_Add_
Add1_4550/Fused_Add_
Add1_4559/Fused_Add_
Add1_4568/Fused_Add_
Add1_4577/Fused_Add_
Add1_4586/Fused_Add_
Add1_4595/Fused_Add_
Add1_4604/Fused_Add_
Add1_4613/Fused_Add_
Add1_4622/Fused_Add_
Add1_4631/Fused_Add_
Add1_4640/Fused_Add_
Add1_4649/Fused_Add_
Add1_4658/Fused_Add_
Add1_4667/Fused_Add_
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Add1_4694/Fused_Add_
Add1_4703/Fused_Add_
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Add1_4757/Fused_Add_
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Add1_4784/Fused_Add_
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Add1_4802/Fused_Add_
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Add1_4937/Fused_Add_
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Add1_4955/Fused_Add_
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[ 2018-10-17 17:08:15,533 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
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[ 2018-10-17 17:08:15,605 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
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[ 2018-10-17 17:08:16,098 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:16,204 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:16,286 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:16,574 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:16,717 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: 
[ 2018-10-17 17:08:17,186 ] [ DEBUG ] [ shape:337 ]  First phase for Reshape: Logits_out_1/Reshape
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[ 2018-10-17 17:08:17,187 ] [ DEBUG ] [ shape:344 ]  Second phase for Reshape: Logits_out_1/Reshape
[ 2018-10-17 17:08:17,187 ] [ DEBUG ] [ eliminate:186 ]  Removing op node: Logits_out_1/Reshape
[ 2018-10-17 17:08:17,187 ] [ DEBUG ] [ shape:337 ]  First phase for Reshape: Logits_out_1/PreLogitsFlatten_out/flatten/Reshape
[ 2018-10-17 17:08:17,188 ] [ DEBUG ] [ shape:340 ]  second node: {'pb': name: "Logits_out_1/Logits_out/MatMul"
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[ 2018-10-17 17:08:17,190 ] [ DEBUG ] [ conv:557 ]  convert_weights_yxio_to_oiyx
[ 2018-10-17 17:08:17,190 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,191 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,191 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3  3 32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,191 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Conv2D
[ 2018-10-17 17:08:17,191 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,191 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 32 32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,192 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Conv2D
[ 2018-10-17 17:08:17,192 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,192 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 32 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,193 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D
[ 2018-10-17 17:08:17,193 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,193 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,193 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,193 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,194 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 160  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,194 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,194 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,194 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,194 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,195 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,195 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 160  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,195 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,195 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,195 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1  7 64 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,195 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,196 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,196 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 7  1 64 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,196 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,196 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,196 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,197 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,198 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,198 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   3 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,198 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,198 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,198 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,199 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,199 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,199 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,199 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,199 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,200 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,200 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,200 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,200 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,201 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,201 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,201 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,201 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,202 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,202 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 96 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,202 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,202 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,203 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,203 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,203 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,203 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,203 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,204 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,204 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,204 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,204 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,205 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,205 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,205 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,205 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,205 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,206 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,206 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,206 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,206 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,207 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 96 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,207 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,207 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,207 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,207 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,208 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,208 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,208 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,208 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,208 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,209 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,209 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,209 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,209 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,209 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,210 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,210 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,210 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,210 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,210 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,211 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,211 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 96 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,211 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,211 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,211 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,212 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,212 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,212 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,213 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,213 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,213 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,213 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,213 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,214 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,214 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,214 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,214 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,214 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,215 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,215 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 64 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,215 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,216 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,216 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 3  3 96 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,216 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,217 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,217 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384  96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,217 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,221 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,222 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   3 384 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,225 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,225 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,225 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   1 384 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,226 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,227 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,237 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   3 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,237 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,238 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,238 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   3 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,238 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,239 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,239 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,239 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,239 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,239 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,240 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,240 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,240 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,240 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,241 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,241 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,241 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,242 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,242 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,246 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,246 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,247 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,247 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,249 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,250 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,250 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,251 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,251 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,251 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,252 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,252 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,252 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,253 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,253 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,253 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,254 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,254 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,254 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,254 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,255 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,255 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,255 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,255 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,256 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,256 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,256 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,258 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,258 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,258 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,259 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,259 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,259 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,260 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,260 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,260 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,261 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,261 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,262 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,262 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,263 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,263 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,263 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,263 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,263 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,264 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,264 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,265 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,265 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,266 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,266 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,267 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,267 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,267 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,268 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,268 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,268 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,269 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,269 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,269 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,269 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,270 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,270 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,270 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,271 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,271 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,271 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,272 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,272 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,272 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,273 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,273 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,273 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,275 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,275 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,276 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,277 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,277 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,277 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,278 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,278 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,278 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,279 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,279 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,279 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,280 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,280 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,280 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,280 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,281 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,281 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,281 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,282 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,282 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,282 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,283 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,283 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,283 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,284 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,284 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,285 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,285 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,285 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,289 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,289 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,290 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,290 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,291 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,291 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,291 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,292 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,292 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,294 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,295 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,295 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,295 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,296 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,296 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,296 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,296 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,297 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,297 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,297 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,298 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,298 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,298 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,298 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,299 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,299 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,299 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,300 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,300 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,301 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,301 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,301 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,301 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,302 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,302 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,302 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,303 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,303 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,303 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,304 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,304 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,304 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,304 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,305 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,305 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,305 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,305 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,305 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,306 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,306 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,306 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,307 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,307 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,307 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,308 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,308 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,308 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,309 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,309 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,309 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,309 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,310 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,310 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,310 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,311 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,311 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,311 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,311 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,312 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,312 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,313 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,313 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,313 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,314 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,314 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,314 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,314 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,315 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,315 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,315 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,316 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,316 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,316 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 192 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,317 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,317 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,317 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 224 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,318 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,318 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,318 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 224 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,319 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,319 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,319 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,319 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,320 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,320 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,320 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,321 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,321 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   3 192 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,321 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,323 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,323 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1024  256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,324 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,325 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,325 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   7 256 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,325 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,326 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,327 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  7   1 256 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,327 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,328 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,328 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   3 320 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,329 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,329 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,329 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,330 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,330 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,331 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,331 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:17,331 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,332 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 384 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,332 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:17,332 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,332 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 384 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,333 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,337 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,337 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,338 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:17,338 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,338 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 384 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,339 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:17,340 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,340 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 448 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,341 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:17,341 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,341 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 512 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,342 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:17,342 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,342 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 512 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,343 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,343 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,343 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,343 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,344 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,345 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,345 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,350 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,350 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,363 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:17,364 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,365 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 384 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,365 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:17,365 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,366 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 384 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,369 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,370 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,371 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,371 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:17,371 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,372 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 384 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,373 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:17,385 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,385 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 448 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,386 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:17,386 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,386 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 512 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,387 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:17,387 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,391 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 512 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,391 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,392 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,392 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,392 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,393 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,395 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,396 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,403 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,403 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,403 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:17,404 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,404 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 384 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,404 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:17,405 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,405 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 384 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,405 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,406 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,411 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,412 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:17,412 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,413 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 384 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,413 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:17,419 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,419 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 448 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,419 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:17,420 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,420 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   3 512 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,420 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:17,421 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,421 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  3   1 512 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,421 ] [ DEBUG ] [ conv:548 ]  convert_weights_layout for InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,422 ] [ DEBUG ] [ shape:74 ]  perm = [3 2 0 1], inv = [2 3 1 0]
[ 2018-10-17 17:08:17,422 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1 1536  256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,429 ] [ DEBUG ] [ conv:565 ]  convert_weights_yxio_to_goiyx
[ 2018-10-17 17:08:17,471 ] [ DEBUG ] [ shape:187 ]  node.name = weights_
[ 2018-10-17 17:08:17,471 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,474 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data6006
[ 2018-10-17 17:08:17,477 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,482 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data6005
[ 2018-10-17 17:08:17,482 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,483 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data6004
[ 2018-10-17 17:08:17,483 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,483 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data6003
[ 2018-10-17 17:08:17,483 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,483 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data6002
[ 2018-10-17 17:08:17,483 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,484 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data6001
[ 2018-10-17 17:08:17,484 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,484 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data6000
[ 2018-10-17 17:08:17,484 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,484 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5999
[ 2018-10-17 17:08:17,484 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,484 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5998
[ 2018-10-17 17:08:17,485 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,485 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5997
[ 2018-10-17 17:08:17,485 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,485 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5996
[ 2018-10-17 17:08:17,486 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,486 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5995
[ 2018-10-17 17:08:17,491 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,492 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5994
[ 2018-10-17 17:08:17,492 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,492 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5993
[ 2018-10-17 17:08:17,492 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,492 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5992
[ 2018-10-17 17:08:17,492 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,493 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5991
[ 2018-10-17 17:08:17,493 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,493 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5990
[ 2018-10-17 17:08:17,493 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,493 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5989
[ 2018-10-17 17:08:17,494 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,497 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5988
[ 2018-10-17 17:08:17,498 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,498 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5987
[ 2018-10-17 17:08:17,498 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,498 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5986
[ 2018-10-17 17:08:17,498 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,498 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5985
[ 2018-10-17 17:08:17,499 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,499 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5984
[ 2018-10-17 17:08:17,499 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,499 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5983
[ 2018-10-17 17:08:17,499 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,500 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5982
[ 2018-10-17 17:08:17,500 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,500 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5981
[ 2018-10-17 17:08:17,500 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,500 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5980
[ 2018-10-17 17:08:17,500 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,501 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5979
[ 2018-10-17 17:08:17,501 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,502 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5978
[ 2018-10-17 17:08:17,502 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,512 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5977
[ 2018-10-17 17:08:17,512 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,512 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5976
[ 2018-10-17 17:08:17,513 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,513 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5975
[ 2018-10-17 17:08:17,513 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,513 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5974
[ 2018-10-17 17:08:17,513 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,521 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5973
[ 2018-10-17 17:08:17,521 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,522 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5972
[ 2018-10-17 17:08:17,522 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,522 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5971
[ 2018-10-17 17:08:17,522 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,522 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5970
[ 2018-10-17 17:08:17,523 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,523 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5969
[ 2018-10-17 17:08:17,523 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,523 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5968
[ 2018-10-17 17:08:17,523 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,523 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5967
[ 2018-10-17 17:08:17,525 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,525 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5966
[ 2018-10-17 17:08:17,525 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,525 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5965
[ 2018-10-17 17:08:17,526 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,527 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5964
[ 2018-10-17 17:08:17,528 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,528 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5963
[ 2018-10-17 17:08:17,528 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,528 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5962
[ 2018-10-17 17:08:17,528 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,529 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5961
[ 2018-10-17 17:08:17,529 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,530 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5960
[ 2018-10-17 17:08:17,532 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,535 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5959
[ 2018-10-17 17:08:17,536 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,549 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5958
[ 2018-10-17 17:08:17,549 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,550 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5957
[ 2018-10-17 17:08:17,550 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,550 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5956
[ 2018-10-17 17:08:17,550 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,550 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5955
[ 2018-10-17 17:08:17,551 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,551 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5954
[ 2018-10-17 17:08:17,551 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,551 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5953
[ 2018-10-17 17:08:17,551 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,551 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5952
[ 2018-10-17 17:08:17,552 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,552 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5951
[ 2018-10-17 17:08:17,555 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,555 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5950
[ 2018-10-17 17:08:17,556 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,556 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5949
[ 2018-10-17 17:08:17,556 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,556 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5948
[ 2018-10-17 17:08:17,556 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,556 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5947
[ 2018-10-17 17:08:17,557 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,557 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5946
[ 2018-10-17 17:08:17,557 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,557 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5945
[ 2018-10-17 17:08:17,557 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,557 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5944
[ 2018-10-17 17:08:17,558 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,558 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5943
[ 2018-10-17 17:08:17,558 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,558 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5942
[ 2018-10-17 17:08:17,562 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,562 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5941
[ 2018-10-17 17:08:17,562 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,563 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5940
[ 2018-10-17 17:08:17,563 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,564 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5939
[ 2018-10-17 17:08:17,565 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,565 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5938
[ 2018-10-17 17:08:17,565 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,565 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5937
[ 2018-10-17 17:08:17,565 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,570 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5936
[ 2018-10-17 17:08:17,570 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,570 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5935
[ 2018-10-17 17:08:17,570 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,570 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5934
[ 2018-10-17 17:08:17,571 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,571 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5933
[ 2018-10-17 17:08:17,571 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,571 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5932
[ 2018-10-17 17:08:17,571 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,572 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5931
[ 2018-10-17 17:08:17,572 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,572 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5930
[ 2018-10-17 17:08:17,572 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,572 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5929
[ 2018-10-17 17:08:17,572 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,573 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5928
[ 2018-10-17 17:08:17,573 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,573 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5927
[ 2018-10-17 17:08:17,573 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,573 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5926
[ 2018-10-17 17:08:17,573 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,574 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5925
[ 2018-10-17 17:08:17,576 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,576 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5924
[ 2018-10-17 17:08:17,577 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,577 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5923
[ 2018-10-17 17:08:17,577 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,577 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5922
[ 2018-10-17 17:08:17,577 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,577 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5921
[ 2018-10-17 17:08:17,578 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,578 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5920
[ 2018-10-17 17:08:17,578 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,578 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5919
[ 2018-10-17 17:08:17,579 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,579 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5918
[ 2018-10-17 17:08:17,580 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,583 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5917
[ 2018-10-17 17:08:17,584 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,585 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5916
[ 2018-10-17 17:08:17,601 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,601 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5915
[ 2018-10-17 17:08:17,602 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,602 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5914
[ 2018-10-17 17:08:17,602 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,602 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5913
[ 2018-10-17 17:08:17,602 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,603 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5912
[ 2018-10-17 17:08:17,603 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,603 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5911
[ 2018-10-17 17:08:17,603 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,603 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5910
[ 2018-10-17 17:08:17,603 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,607 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5909
[ 2018-10-17 17:08:17,607 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,608 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5908
[ 2018-10-17 17:08:17,608 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,608 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5907
[ 2018-10-17 17:08:17,608 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,608 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5906
[ 2018-10-17 17:08:17,609 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,609 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5905
[ 2018-10-17 17:08:17,609 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,609 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5904
[ 2018-10-17 17:08:17,609 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,609 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5903
[ 2018-10-17 17:08:17,610 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,610 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5902
[ 2018-10-17 17:08:17,610 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,610 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5901
[ 2018-10-17 17:08:17,610 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,610 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5900
[ 2018-10-17 17:08:17,611 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,611 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5899
[ 2018-10-17 17:08:17,611 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,611 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5898
[ 2018-10-17 17:08:17,611 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,611 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5897
[ 2018-10-17 17:08:17,612 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,613 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5896
[ 2018-10-17 17:08:17,613 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,613 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5895
[ 2018-10-17 17:08:17,613 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,615 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5894
[ 2018-10-17 17:08:17,615 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,615 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5893
[ 2018-10-17 17:08:17,615 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,616 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5892
[ 2018-10-17 17:08:17,616 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,617 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5891
[ 2018-10-17 17:08:17,622 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,623 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5890
[ 2018-10-17 17:08:17,623 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,623 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5889
[ 2018-10-17 17:08:17,623 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,623 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5888
[ 2018-10-17 17:08:17,623 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,624 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5887
[ 2018-10-17 17:08:17,624 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,624 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5886
[ 2018-10-17 17:08:17,624 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,624 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5885
[ 2018-10-17 17:08:17,624 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,625 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5884
[ 2018-10-17 17:08:17,625 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,625 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5883
[ 2018-10-17 17:08:17,625 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,625 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5882
[ 2018-10-17 17:08:17,625 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,626 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5881
[ 2018-10-17 17:08:17,626 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,626 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5880
[ 2018-10-17 17:08:17,626 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,631 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5879
[ 2018-10-17 17:08:17,631 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,631 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5878
[ 2018-10-17 17:08:17,631 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,632 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5877
[ 2018-10-17 17:08:17,632 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,632 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5876
[ 2018-10-17 17:08:17,632 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,632 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5875
[ 2018-10-17 17:08:17,633 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,633 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5874
[ 2018-10-17 17:08:17,633 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,633 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5873
[ 2018-10-17 17:08:17,633 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,633 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5872
[ 2018-10-17 17:08:17,634 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,634 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5871
[ 2018-10-17 17:08:17,634 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,634 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5870
[ 2018-10-17 17:08:17,634 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,634 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5869
[ 2018-10-17 17:08:17,635 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,635 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5868
[ 2018-10-17 17:08:17,635 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,635 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5867
[ 2018-10-17 17:08:17,635 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,636 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5866
[ 2018-10-17 17:08:17,638 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,639 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5865
[ 2018-10-17 17:08:17,639 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,650 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5864
[ 2018-10-17 17:08:17,653 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,654 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5863
[ 2018-10-17 17:08:17,656 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,659 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5862
[ 2018-10-17 17:08:17,660 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,660 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5861
[ 2018-10-17 17:08:17,663 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,663 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5860
[ 2018-10-17 17:08:17,664 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,664 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data5859
[ 2018-10-17 17:08:17,664 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,668 ] [ DEBUG ] [ shape:187 ]  node.name = bias_data
[ 2018-10-17 17:08:17,668 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,669 ] [ DEBUG ] [ shape:187 ]  node.name = data_add_
[ 2018-10-17 17:08:17,669 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,669 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/Concat_/Output_0/Data_
[ 2018-10-17 17:08:17,669 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,669 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/Logits_out/MatMul/Output_0/Data_
[ 2018-10-17 17:08:17,670 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,670 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/Logits_out/BiasAdd
[ 2018-10-17 17:08:17,670 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,670 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/Reshape/shape/Output_0/Data_
[ 2018-10-17 17:08:17,670 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,670 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out/Logits_out/biases/read/Output_0/Data_
[ 2018-10-17 17:08:17,671 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,671 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out/Logits_out/weights/read/Output_0/Data_
[ 2018-10-17 17:08:17,671 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,673 ] [ DEBUG ] [ shape:187 ]  node.name = strided_slice/stack_2/Output_0/Data_
[ 2018-10-17 17:08:17,674 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,674 ] [ DEBUG ] [ shape:187 ]  node.name = strided_slice/stack_1/Output_0/Data_
[ 2018-10-17 17:08:17,674 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,674 ] [ DEBUG ] [ shape:187 ]  node.name = strided_slice/stack/Output_0/Data_
[ 2018-10-17 17:08:17,674 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,675 ] [ DEBUG ] [ shape:187 ]  node.name = Placeholder_X
[ 2018-10-17 17:08:17,675 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,675 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 299 299   3], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,675 ] [ DEBUG ] [ shape:187 ]  node.name = Placeholder_X3770
[ 2018-10-17 17:08:17,682 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,682 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 299 299   3], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,682 ] [ DEBUG ] [ shape:187 ]  node.name = Add_
[ 2018-10-17 17:08:17,682 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,683 ] [ DEBUG ] [ shape:187 ]  node.name = Placeholder_X/Output_0/Data_
[ 2018-10-17 17:08:17,683 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,683 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 299 299   3], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,683 ] [ DEBUG ] [ shape:187 ]  node.name = strided_slice
[ 2018-10-17 17:08:17,683 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,683 ] [ DEBUG ] [ shape:187 ]  node.name = strided_slice/Output_0/Data_
[ 2018-10-17 17:08:17,684 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,684 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 299 299   3], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,684 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,684 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,684 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,685 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1 149 149  32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,685 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,685 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,685 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,685 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 149 149  32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,685 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:17,686 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,686 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,686 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,686 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 149 149  32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,686 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Conv2D
[ 2018-10-17 17:08:17,686 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,687 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,687 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1 147 147  32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,687 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,687 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,687 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,688 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 147 147  32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,688 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Relu
[ 2018-10-17 17:08:17,688 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,688 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,688 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,688 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 147 147  32], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,695 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Conv2D
[ 2018-10-17 17:08:17,695 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,695 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,695 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1 147 147  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,695 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,696 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,696 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,696 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 147 147  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,696 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Relu
[ 2018-10-17 17:08:17,696 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,696 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,697 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,697 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1 147 147  64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,697 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D
[ 2018-10-17 17:08:17,697 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,697 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,698 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 73 73 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,698 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,698 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,698 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,699 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,699 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Relu
[ 2018-10-17 17:08:17,699 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,699 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,699 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,699 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,700 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/Branch_0/MaxPool_0a_3x3/MaxPool
[ 2018-10-17 17:08:17,700 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,700 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,700 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,701 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,701 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/Branch_0/MaxPool_0a_3x3/MaxPool/Output_0/Data_
[ 2018-10-17 17:08:17,701 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,701 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,701 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/concat
[ 2018-10-17 17:08:17,701 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,711 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_3a/concat/Output_0/Data_
[ 2018-10-17 17:08:17,711 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,712 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  73  73 160], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,712 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,712 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,712 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,713 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,713 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,713 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,713 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,713 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,713 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,714 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,714 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,714 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,714 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,714 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,714 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,715 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,715 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,715 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,715 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,715 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,715 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,716 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,716 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,716 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,716 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,716 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,716 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,717 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,717 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,717 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,717 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,717 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,718 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,718 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,718 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:17,718 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,728 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,729 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,729 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,729 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,729 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,729 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,730 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 71 71 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,730 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,730 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,730 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,730 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 71 71 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,730 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:17,730 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,731 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,731 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,731 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 71 71 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,731 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,731 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,732 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,732 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,732 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,732 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,732 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,732 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,732 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,733 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,733 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,733 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,733 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 73 73 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,733 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,733 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,734 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,734 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 71 71 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,734 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,734 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,734 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,735 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 71 71 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,735 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:17,735 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,735 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,735 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,735 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 71 71 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,735 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/concat
[ 2018-10-17 17:08:17,736 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,736 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_4a/concat/Output_0/Data_
[ 2018-10-17 17:08:17,736 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,736 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  71  71 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,736 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/Branch_1/MaxPool_1a_3x3/MaxPool
[ 2018-10-17 17:08:17,737 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,737 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,737 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,737 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,737 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/Branch_1/MaxPool_1a_3x3/MaxPool/Output_0/Data_
[ 2018-10-17 17:08:17,737 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,738 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,738 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,738 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,738 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,740 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  35  35 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,741 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,741 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,741 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,741 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,741 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:17,742 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,742 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,742 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,747 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,747 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/concat
[ 2018-10-17 17:08:17,747 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,747 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5a/concat/Output_0/Data_
[ 2018-10-17 17:08:17,747 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,748 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,748 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,748 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,748 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,748 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,748 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,749 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,749 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,749 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,749 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,749 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,750 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,750 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,750 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,750 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,750 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,750 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,750 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,751 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,751 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,751 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,751 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,751 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,752 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,752 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,752 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,752 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,752 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,752 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,753 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,753 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,753 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,753 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,753 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,754 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,754 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,754 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,754 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,754 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,754 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,764 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,764 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,765 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,765 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,765 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,765 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,765 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,766 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,766 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,766 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,766 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,766 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,766 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,766 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,767 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,767 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,767 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:17,767 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,767 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,767 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,768 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,768 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,768 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,768 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,768 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,768 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,769 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,769 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,769 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,769 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,769 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,769 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,770 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,770 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,770 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,770 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,770 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,770 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,770 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,771 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,771 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,771 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,771 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,771 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,771 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,772 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,772 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,772 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,772 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,772 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,772 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,773 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,773 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,773 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,773 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,773 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,773 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,774 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,774 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,774 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,774 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/concat
[ 2018-10-17 17:08:17,774 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,774 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5b/concat/Output_0/Data_
[ 2018-10-17 17:08:17,774 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,775 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,775 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,775 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,775 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,775 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,775 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,775 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,776 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,776 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,776 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,776 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,776 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,776 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,777 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,777 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,777 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,777 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,777 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,777 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,777 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,778 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,778 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,778 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,778 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,778 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,778 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,778 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,779 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,779 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,779 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,779 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,779 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,779 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,780 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,780 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,780 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,780 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,780 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,780 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,780 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,781 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,781 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,781 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,781 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,781 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,781 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,781 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,782 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,782 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,782 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,782 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,782 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,782 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,782 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,783 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,783 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,783 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:17,783 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,783 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,784 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,784 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,784 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,784 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,784 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,784 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,785 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,785 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,785 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,785 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,785 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,785 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,785 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,786 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,786 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,786 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,786 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,786 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,787 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,787 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,787 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,787 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,787 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,787 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,787 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,788 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,788 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,788 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,788 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,788 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,788 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,788 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,789 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,789 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,789 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,789 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,789 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,789 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,790 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,790 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,790 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,790 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/concat
[ 2018-10-17 17:08:17,790 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,790 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5c/concat/Output_0/Data_
[ 2018-10-17 17:08:17,790 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,791 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,791 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,791 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,791 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,791 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,791 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,792 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,792 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,792 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,792 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,792 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,792 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,793 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,793 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,793 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,793 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,793 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,793 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,793 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,794 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,794 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,794 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,794 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,794 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,795 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,795 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,795 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,795 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,795 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,795 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,795 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,796 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,796 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,796 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,796 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,796 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,796 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,797 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,797 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,797 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,797 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,797 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,797 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,798 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,798 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,798 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,798 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,798 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,798 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,798 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,799 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,799 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,799 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,799 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,799 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,799 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,800 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:17,800 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,800 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,800 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,800 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,800 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,800 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,801 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,801 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,801 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,801 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,801 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,802 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,802 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,802 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,802 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,802 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,802 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,802 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,803 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,803 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,803 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,803 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,803 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,803 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,804 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,804 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,804 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,804 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,804 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,804 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,804 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,805 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,805 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,805 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,805 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,805 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,805 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,805 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,806 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,806 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,806 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,806 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,806 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,806 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/concat
[ 2018-10-17 17:08:17,807 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,807 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5d/concat/Output_0/Data_
[ 2018-10-17 17:08:17,807 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,807 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,807 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,807 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,807 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,808 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,808 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,808 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,808 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,808 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,808 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,809 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,809 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,809 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,809 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,809 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,809 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,809 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,810 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,810 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,810 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,810 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,810 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,810 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,811 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,811 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,811 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,811 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,811 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,811 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,812 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,812 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,812 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,812 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,812 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,812 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,812 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,813 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,813 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,813 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,813 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,813 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,813 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,814 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,814 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,814 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,814 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,814 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,814 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,814 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Conv2D
[ 2018-10-17 17:08:17,815 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,815 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,815 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,815 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,815 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,815 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,816 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,816 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Relu
[ 2018-10-17 17:08:17,816 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,816 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,816 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,816 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,816 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,817 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,817 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,817 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,817 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,817 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,817 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,817 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,818 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,818 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,818 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,818 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,818 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 64], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,818 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,819 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,819 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,819 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,819 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,819 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,819 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,820 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,820 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,820 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,820 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,820 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,820 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,820 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,821 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,821 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,821 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,821 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,821 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,821 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,822 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,822 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,822 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,822 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,822 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,822 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [ 1 35 35 96], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,822 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/concat
[ 2018-10-17 17:08:17,823 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,823 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_5e/concat/Output_0/Data_
[ 2018-10-17 17:08:17,823 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,823 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,823 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_2/MaxPool_1a_3x3/MaxPool
[ 2018-10-17 17:08:17,823 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,823 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,824 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,824 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,824 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_2/MaxPool_1a_3x3/MaxPool/Output_0/Data_
[ 2018-10-17 17:08:17,824 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,824 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,824 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,825 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,825 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,825 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  35  35 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,825 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,825 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,825 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,826 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,826 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,826 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,826 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,826 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,826 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,826 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D
[ 2018-10-17 17:08:17,827 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,827 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,827 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  35  35 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,827 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,827 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,827 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,828 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,828 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Relu
[ 2018-10-17 17:08:17,828 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,828 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,828 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,828 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  35  35 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,829 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,829 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,829 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,829 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,829 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,829 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,830 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,830 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,830 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:17,830 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,830 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,830 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,830 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,831 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:17,831 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,831 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,831 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,831 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,831 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,832 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,832 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,832 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:17,833 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,833 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,833 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,833 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,833 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/concat
[ 2018-10-17 17:08:17,833 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,834 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6a/concat/Output_0/Data_
[ 2018-10-17 17:08:17,834 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,834 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,834 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,834 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,834 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,835 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,835 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,835 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,835 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,835 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,835 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,836 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,836 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,836 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,836 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,836 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,836 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,836 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,837 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,837 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,837 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,837 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,837 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,837 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,837 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,838 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,838 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,838 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,838 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,838 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,838 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,839 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,839 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,839 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,839 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,839 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,839 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,839 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,840 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,840 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,840 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,840 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,840 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,840 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,841 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:17,841 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,841 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,841 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,841 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,841 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,842 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,842 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,842 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,842 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,842 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,842 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,842 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,843 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:17,843 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,843 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,843 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,843 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,843 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,844 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,844 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,844 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,844 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,844 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,844 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,845 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,845 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:17,845 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,845 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,845 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,845 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,846 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,846 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,846 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,846 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,846 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,846 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,847 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,847 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,847 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:17,847 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,847 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,847 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,848 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,848 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,848 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,848 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,848 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,848 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,848 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,849 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,849 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,849 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,849 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,849 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,849 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,850 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,850 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,850 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,850 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,850 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,850 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,850 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,851 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,851 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,852 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,852 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,852 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,853 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,853 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,853 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,853 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,853 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,853 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,853 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,854 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,854 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,854 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,854 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:17,854 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,854 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,855 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,856 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,856 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,856 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,856 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,856 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,856 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,857 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,857 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/concat
[ 2018-10-17 17:08:17,857 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,857 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6b/concat/Output_0/Data_
[ 2018-10-17 17:08:17,857 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,858 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,858 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,858 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,858 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,858 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,858 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,858 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,859 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,859 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,859 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,859 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,859 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,859 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,859 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,860 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,860 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,860 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,860 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,860 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,860 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,860 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,861 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,861 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,861 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,861 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,861 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,861 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,861 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,862 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,862 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,862 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,862 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,862 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,862 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,863 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,863 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,863 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,863 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,863 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,863 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,863 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,864 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,864 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,864 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:17,864 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,864 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,864 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,864 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,865 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,865 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,865 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,865 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,865 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,865 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,865 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,866 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,866 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:17,866 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,866 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,866 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,866 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,866 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,867 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,867 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,867 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,867 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,867 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,867 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,868 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,868 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:17,868 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,868 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,868 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,868 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,868 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,869 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,869 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,869 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,869 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,869 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,869 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,869 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,870 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:17,870 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,870 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,870 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,870 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,870 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,870 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,871 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,871 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,871 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,871 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,871 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,871 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,871 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,872 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,872 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,872 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,872 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,872 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,872 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,873 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,873 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,873 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,873 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,873 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,878 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,878 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,878 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,878 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,878 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,879 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,879 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,879 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,879 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,879 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,879 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,880 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,880 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,880 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,880 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:17,880 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,880 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,881 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,881 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,881 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,881 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,881 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,881 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,882 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,882 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,882 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,882 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,882 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,882 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,882 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,883 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,883 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,883 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/concat
[ 2018-10-17 17:08:17,883 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,883 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6c/concat/Output_0/Data_
[ 2018-10-17 17:08:17,883 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,884 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,884 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,884 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,884 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,884 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,885 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,885 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,885 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,885 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,885 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,886 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,886 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,886 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,886 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,886 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,886 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,887 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,887 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,887 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,887 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,887 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,888 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,888 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,888 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,888 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,888 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,888 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,889 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,889 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,889 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,889 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,889 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,889 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,889 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,890 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,890 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,890 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,890 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,890 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,891 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,891 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,891 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,891 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,891 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:17,891 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,892 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,892 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,892 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,892 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,892 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,892 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,893 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,893 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,893 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,893 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,893 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,893 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:17,893 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,894 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,894 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,894 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,894 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,894 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,894 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,895 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,895 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,895 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,895 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,895 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,895 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:17,896 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,896 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,896 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,896 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,896 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,896 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,897 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,897 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,897 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,897 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,897 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,898 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,898 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:17,898 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,898 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,898 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,898 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,899 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,899 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,899 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,899 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,899 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,899 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,900 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,900 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,900 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,900 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,900 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,900 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,900 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,901 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,901 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,901 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,901 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,901 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,901 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,902 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,902 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,902 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,902 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,902 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,902 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,903 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,903 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,903 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,903 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,903 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,903 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,903 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,904 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,904 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,904 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:17,904 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,904 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,904 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,905 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,905 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,905 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,905 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,905 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,906 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,906 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,906 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,906 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,906 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,906 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,907 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,907 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,907 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,907 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/concat
[ 2018-10-17 17:08:17,907 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,907 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6d/concat/Output_0/Data_
[ 2018-10-17 17:08:17,908 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,908 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,908 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,908 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,908 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,909 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,909 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,909 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,909 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,909 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,909 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,910 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,910 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,910 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,910 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,910 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,910 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,910 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,911 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,911 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,911 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,911 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,912 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,912 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,912 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,912 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,913 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,913 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,913 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,913 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,914 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,914 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,914 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,914 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,914 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,914 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,914 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,915 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,915 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,915 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,915 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,915 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,915 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,916 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,916 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:17,916 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,916 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,916 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,916 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,917 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,917 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,917 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,917 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,917 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,917 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,918 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,918 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,918 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:17,918 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,918 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,919 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,919 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,919 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,919 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,919 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,920 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,920 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,920 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,920 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,920 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,920 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:17,921 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,921 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,921 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,921 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,922 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,922 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,922 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,922 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,922 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,923 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,923 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,923 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,923 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:17,923 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,923 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,924 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,924 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,924 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,924 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,924 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,924 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,925 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,925 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,925 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,925 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,925 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,925 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,926 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,926 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,926 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,926 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,926 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,927 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,927 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,927 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,927 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,927 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,927 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,928 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,928 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,928 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,928 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,928 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,928 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,929 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,929 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,929 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,929 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,929 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,930 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,930 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,930 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:17,930 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,930 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,930 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,931 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,931 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,931 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,931 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,931 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,931 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,931 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,932 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,932 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,932 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,932 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,932 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,932 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,933 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,933 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/concat
[ 2018-10-17 17:08:17,933 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,933 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6e/concat/Output_0/Data_
[ 2018-10-17 17:08:17,933 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,933 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,934 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,934 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,934 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,934 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,934 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,934 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,935 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,935 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,935 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,935 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,935 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,935 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,935 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,936 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,936 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,936 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,936 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,936 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,936 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,937 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,937 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,937 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,937 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,937 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,937 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,938 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,938 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,938 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,938 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,938 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,938 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,939 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,939 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,939 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,939 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,939 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,939 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,940 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,940 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,940 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,940 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,940 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,940 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:17,940 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,941 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,941 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,941 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,941 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,941 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,941 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,942 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,942 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,942 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,942 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,942 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,942 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:17,943 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,943 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,943 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,943 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,943 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,944 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,944 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,944 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,944 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,944 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,944 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,945 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,945 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:17,945 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,945 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,945 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,946 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,946 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,946 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,946 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,946 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,947 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,947 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,947 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,947 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,947 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:17,947 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,948 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,948 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,948 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,948 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,948 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,948 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,949 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,949 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,949 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,949 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,949 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,949 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,949 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,950 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,950 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,950 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,950 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,950 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,950 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,951 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,951 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,951 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,951 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,951 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,951 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,952 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,952 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,952 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,952 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,952 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,953 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,953 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,953 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,953 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,953 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,954 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,954 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,954 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:17,954 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,954 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,954 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,955 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,955 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,955 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,955 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,955 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,956 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,956 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,956 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,956 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,956 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,956 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,957 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,957 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,957 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,957 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/concat
[ 2018-10-17 17:08:17,957 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,957 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6f/concat/Output_0/Data_
[ 2018-10-17 17:08:17,958 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,958 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,958 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,958 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,958 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,959 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,959 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,959 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,959 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,959 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,960 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,960 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,960 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,960 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,960 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,961 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,961 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,961 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,961 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,961 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,961 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,962 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,962 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,962 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,962 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,962 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,962 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,963 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,963 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,963 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,963 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,963 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,963 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,964 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,964 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,964 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,964 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,964 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,965 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,965 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,965 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,965 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,965 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,965 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,966 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:17,966 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,966 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,966 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,966 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,966 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,967 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,967 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,967 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,967 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,967 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,967 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,968 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,968 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:17,968 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,968 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,968 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,968 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,969 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,969 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,969 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,969 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,969 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,969 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,970 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,970 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,970 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:17,970 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,970 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,971 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,971 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,971 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,971 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,971 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,971 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,972 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,972 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,972 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,972 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,972 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:17,972 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,972 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,973 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,973 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,973 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,973 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,973 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,973 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,974 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,974 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,974 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,974 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,974 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,974 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,974 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,975 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,975 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,975 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,975 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,975 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,975 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,975 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,976 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,976 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,976 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,976 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,976 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,976 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,976 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,977 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,977 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,977 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,977 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,977 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,977 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,978 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,978 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,978 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,978 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:17,978 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,978 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,978 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,979 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,979 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,979 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,979 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,979 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,979 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,980 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,980 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,980 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,980 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,980 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,980 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,981 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,981 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,981 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/concat
[ 2018-10-17 17:08:17,981 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,981 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6g/concat/Output_0/Data_
[ 2018-10-17 17:08:17,981 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,982 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,982 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:17,982 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,982 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,982 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,982 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,983 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:17,983 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,983 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,983 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:17,983 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,983 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,983 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,984 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,984 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,984 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,984 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,984 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:17,984 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,984 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,985 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,985 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 128], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,985 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,985 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,985 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,985 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,986 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,986 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,986 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,986 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,986 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,986 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,986 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,987 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,987 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,987 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Conv2D
[ 2018-10-17 17:08:17,987 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,987 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,987 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,987 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,988 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,988 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,988 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,988 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Relu
[ 2018-10-17 17:08:17,988 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,988 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,988 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,989 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,989 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Conv2D
[ 2018-10-17 17:08:17,989 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,989 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,989 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,989 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,990 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,990 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,990 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,990 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Relu
[ 2018-10-17 17:08:17,990 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,990 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,990 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,991 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,991 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Conv2D
[ 2018-10-17 17:08:17,991 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,991 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,991 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,991 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,991 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,992 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,992 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,992 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Relu
[ 2018-10-17 17:08:17,992 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,992 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,992 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,993 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,993 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Conv2D
[ 2018-10-17 17:08:17,993 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,993 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,993 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,993 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,993 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,994 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,994 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,994 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Relu
[ 2018-10-17 17:08:17,994 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,994 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,994 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,995 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,995 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:17,995 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,995 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,995 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,995 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,995 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,996 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,996 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,996 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:17,996 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,996 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,996 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,997 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,997 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:17,997 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,997 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,997 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,997 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,997 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:17,998 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,998 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,998 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:17,998 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,998 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:17,999 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,999 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 224], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:17,999 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:17,999 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:17,999 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,000 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,000 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,000 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,000 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,000 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,000 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:18,001 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,001 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,001 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,001 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,001 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,001 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,002 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,002 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,002 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,002 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,002 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,002 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,003 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,003 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,003 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,003 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,003 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,003 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/concat
[ 2018-10-17 17:08:18,004 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,004 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_6h/concat/Output_0/Data_
[ 2018-10-17 17:08:18,004 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,004 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1   17   17 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,004 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_2/MaxPool_1a_3x3/MaxPool
[ 2018-10-17 17:08:18,005 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,005 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,005 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,005 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,005 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_2/MaxPool_1a_3x3/MaxPool/Output_0/Data_
[ 2018-10-17 17:08:18,005 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,006 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1024], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,006 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,006 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,006 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,006 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,006 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,007 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,007 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,007 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,007 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,007 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,007 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,008 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,008 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,008 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D
[ 2018-10-17 17:08:18,008 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,008 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [3 3]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,009 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,009 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,009 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,009 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,009 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,009 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Relu
[ 2018-10-17 17:08:18,009 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,010 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,010 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,010 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,010 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D
[ 2018-10-17 17:08:18,010 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,011 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [3 3]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,011 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,011 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,011 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,011 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,011 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,012 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Relu
[ 2018-10-17 17:08:18,012 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,012 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,012 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,012 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,012 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:18,013 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,013 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,013 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,013 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,013 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,014 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,014 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,014 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:18,014 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,014 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,014 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,015 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 320], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,015 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,015 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,015 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,015 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,016 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,016 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,016 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,016 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,016 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,016 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,017 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,017 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,017 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1  17  17 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,017 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D
[ 2018-10-17 17:08:18,017 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,018 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,018 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,018 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,018 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,018 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,018 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,018 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Relu
[ 2018-10-17 17:08:18,019 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,019 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,019 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,019 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 192], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,019 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/concat
[ 2018-10-17 17:08:18,019 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,020 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7a/concat/Output_0/Data_
[ 2018-10-17 17:08:18,020 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,020 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,020 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:18,020 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,020 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,021 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,021 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,021 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:18,021 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,021 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,021 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:18,022 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,022 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,022 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,022 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,022 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,022 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,023 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,023 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:18,023 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,023 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,023 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,023 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,024 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,024 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,024 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,024 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,024 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,024 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,025 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,025 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,025 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,025 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,025 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,026 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,026 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,026 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:18,026 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,026 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,026 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,026 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,027 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,027 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,027 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,027 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Relu
[ 2018-10-17 17:08:18,027 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,027 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,027 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,028 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,028 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:18,028 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,028 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,028 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,028 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,029 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,029 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,029 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,029 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu
[ 2018-10-17 17:08:18,029 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,029 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,029 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,030 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,030 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:18,030 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,030 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,030 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,030 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,030 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,031 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,031 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,031 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Relu
[ 2018-10-17 17:08:18,031 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,031 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,031 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,032 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,032 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:18,032 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,032 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,032 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,032 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,032 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,033 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,033 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,033 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Relu
[ 2018-10-17 17:08:18,033 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,033 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,033 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,034 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,034 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/concat
[ 2018-10-17 17:08:18,034 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,034 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/concat/Output_0/Data_
[ 2018-10-17 17:08:18,034 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,034 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,034 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,035 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,035 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,035 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,035 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,035 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,036 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,036 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,036 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,036 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,036 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,037 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,037 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,037 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:18,037 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,037 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,038 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,038 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,038 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,038 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,038 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,038 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Relu
[ 2018-10-17 17:08:18,039 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,039 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,039 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,039 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,039 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:18,039 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,040 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,040 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,040 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,040 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,040 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,040 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,040 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu
[ 2018-10-17 17:08:18,041 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,041 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,041 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,041 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,041 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/concat
[ 2018-10-17 17:08:18,041 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,041 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/concat/Output_0/Data_
[ 2018-10-17 17:08:18,042 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,042 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,042 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,042 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,042 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,043 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,043 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,043 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,043 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,043 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,043 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,043 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,044 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,044 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,044 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,044 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/concat
[ 2018-10-17 17:08:18,044 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,044 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7b/concat/Output_0/Data_
[ 2018-10-17 17:08:18,045 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,045 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,045 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:18,045 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,045 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,045 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,046 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,046 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:18,046 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,046 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,046 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:18,047 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,047 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,047 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,047 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,047 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,047 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,048 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,048 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:18,048 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,048 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,048 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,048 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,049 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,049 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,049 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,049 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,049 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,049 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,050 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,050 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,050 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,050 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,050 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,050 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,051 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,051 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:18,051 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,051 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,051 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,052 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,052 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,052 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,052 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,052 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Relu
[ 2018-10-17 17:08:18,052 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,053 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,053 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,053 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,053 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:18,053 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,053 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,054 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,054 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,054 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,054 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,054 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,054 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu
[ 2018-10-17 17:08:18,054 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,055 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,055 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,055 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,055 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:18,055 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,055 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,056 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,056 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,056 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,056 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,056 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,056 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Relu
[ 2018-10-17 17:08:18,057 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,057 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,057 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,057 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,057 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:18,057 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,058 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,058 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,058 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,058 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,058 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,058 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,058 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Relu
[ 2018-10-17 17:08:18,059 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,059 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,059 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,059 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,059 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/concat
[ 2018-10-17 17:08:18,060 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,060 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/concat/Output_0/Data_
[ 2018-10-17 17:08:18,060 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,060 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,060 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,060 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,061 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,061 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,061 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,061 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,061 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,062 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,062 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,062 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,062 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,062 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,062 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,063 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:18,063 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,063 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,063 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,063 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,063 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,064 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,064 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,064 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu
[ 2018-10-17 17:08:18,064 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,064 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,064 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,064 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,065 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:18,065 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,065 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,065 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,065 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,065 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,066 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,066 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,066 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu
[ 2018-10-17 17:08:18,066 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,066 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,066 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,067 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,067 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/concat
[ 2018-10-17 17:08:18,067 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,067 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/concat/Output_0/Data_
[ 2018-10-17 17:08:18,067 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,067 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,067 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,068 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,068 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,068 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,068 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,068 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,069 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,069 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,069 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,069 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,069 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,069 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,070 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,070 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/concat
[ 2018-10-17 17:08:18,070 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,070 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7c/concat/Output_0/Data_
[ 2018-10-17 17:08:18,070 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,070 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,070 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/AvgPool_0a_3x3/AvgPool
[ 2018-10-17 17:08:18,071 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,071 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,071 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 3 3 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,071 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,071 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/AvgPool_0a_3x3/AvgPool/Output_0/Data_
[ 2018-10-17 17:08:18,071 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,072 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,072 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Conv2D
[ 2018-10-17 17:08:18,072 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,072 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,072 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,072 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,072 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,073 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,073 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,073 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Relu
[ 2018-10-17 17:08:18,073 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,073 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,073 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,073 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,074 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,074 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,074 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,074 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,074 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,074 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,075 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,075 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,075 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,075 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,075 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,075 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,075 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,076 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Conv2D
[ 2018-10-17 17:08:18,076 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,076 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,076 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,076 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,076 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,076 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,077 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,077 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Relu
[ 2018-10-17 17:08:18,077 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,077 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,077 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,077 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 448], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,078 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Conv2D
[ 2018-10-17 17:08:18,078 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,078 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,078 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,078 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,078 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,078 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,079 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,079 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Relu
[ 2018-10-17 17:08:18,079 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,079 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,079 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,079 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,079 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Conv2D
[ 2018-10-17 17:08:18,080 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,080 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,080 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,080 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,080 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,080 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,081 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,081 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Relu
[ 2018-10-17 17:08:18,081 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,081 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,081 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,081 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,081 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Conv2D
[ 2018-10-17 17:08:18,082 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,082 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,082 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,082 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,082 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,083 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,083 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,083 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Relu
[ 2018-10-17 17:08:18,083 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,083 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,083 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,084 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,084 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/concat
[ 2018-10-17 17:08:18,084 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,084 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/concat/Output_0/Data_
[ 2018-10-17 17:08:18,084 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,085 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,085 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,085 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,085 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,085 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,085 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,086 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,086 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,086 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,086 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,086 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,086 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,086 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,087 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 384], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,087 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Conv2D
[ 2018-10-17 17:08:18,087 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,087 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [1 1]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,087 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,088 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,088 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,088 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,088 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,088 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Relu
[ 2018-10-17 17:08:18,088 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,088 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,089 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,089 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,089 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Conv2D
[ 2018-10-17 17:08:18,089 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,089 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [1 1]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,089 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,089 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,090 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,090 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,090 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,090 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Relu
[ 2018-10-17 17:08:18,091 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,091 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,091 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,091 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,091 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/concat
[ 2018-10-17 17:08:18,091 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,092 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/concat/Output_0/Data_
[ 2018-10-17 17:08:18,092 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,092 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 512], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,092 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Conv2D
[ 2018-10-17 17:08:18,092 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,092 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,093 ] [ DEBUG ] [ shape:98 ]  a = output_shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,093 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 1 1 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,093 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/BatchNorm/FusedBatchNorm/Output_0/Data_
[ 2018-10-17 17:08:18,093 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,093 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,093 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Relu
[ 2018-10-17 17:08:18,094 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,094 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Relu/Output_0/Data_
[ 2018-10-17 17:08:18,094 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,094 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [  1   8   8 256], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,095 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/concat
[ 2018-10-17 17:08:18,095 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,095 ] [ DEBUG ] [ shape:187 ]  node.name = InceptionV4_1/InceptionV4/Mixed_7d/concat/Output_0/Data_
[ 2018-10-17 17:08:18,095 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,095 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    8    8 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,095 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/AvgPool_1a_out/AvgPool
[ 2018-10-17 17:08:18,096 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,096 ] [ DEBUG ] [ shape:98 ]  a = pad, attrs[a] = [[0 0]
 [0 0]
 [0 0]
 [0 0]], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,096 ] [ DEBUG ] [ shape:98 ]  a = window, attrs[a] = [1 8 8 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,096 ] [ DEBUG ] [ shape:98 ]  a = stride, attrs[a] = [1 2 2 1], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,096 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/Dropout_1b_out/Identity/Output_0/Data_
[ 2018-10-17 17:08:18,097 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,097 ] [ DEBUG ] [ shape:98 ]  a = shape, attrs[a] = [   1    1    1 1536], type(attrs[a]) = <class 'numpy.ndarray'>
[ 2018-10-17 17:08:18,097 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/PreLogitsFlatten_out/flatten/Reshape
[ 2018-10-17 17:08:18,097 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,097 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/Output_0/Data_
[ 2018-10-17 17:08:18,098 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,098 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/Logits_out/MatMul
[ 2018-10-17 17:08:18,098 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,098 ] [ DEBUG ] [ shape:157 ]  orig_shape = [   1 1536    1    1]
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:158 ]  new_shape = [   1 1536]
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:159 ]  weights.shape = [1536   10]
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:160 ]  weights.shape[1] = 10, new_shape[1] = 1536
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:187 ]  node.name = Logits_out_1/Logits_out/BiasAdd/Output_0/Data_
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:187 ]  node.name = Predictions
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,099 ] [ DEBUG ] [ shape:187 ]  node.name = Predictions/Output_0/Data_
[ 2018-10-17 17:08:18,100 ] [ DEBUG ] [ shape:74 ]  perm = [0 3 1 2], inv = [0 2 3 1]
[ 2018-10-17 17:08:18,102 ] [ DEBUG ] [ conv:100 ]  Transposed weights Logits_out/Logits_out/weights/read/Output_0/Data_ for FC node Logits_out_1/Logits_out/MatMul; weights.shape = [1536   10]
[ 2018-10-17 17:08:18,177 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
Predictions/Output_0/Data_
[ 2018-10-17 17:08:18,247 ] [ DEBUG ] [ eliminate:129 ]  Removing the following dead nodes: Logits_out_1/Logits_out/BiasAdd
Logits_out_1/Logits_out/MatMul/Output_0/Data_
Logits_out_1/PreLogitsFlatten_out/flatten/Reshape/shape/Concat_/Output_0/Data_
Logits_out_1/Reshape/shape/Output_0/Data_
[ 2018-10-17 17:08:18,247 ] [ DEBUG ] [ class_registration:100 ]  Run replacer <class 'extensions.back.EltwiseBroadcast.EltwiseBroadcast'>
[ 2018-10-17 17:08:18,284 ] [ DEBUG ] [ emitter:46 ]  Added Const node 'strided_slice/stack/Output_0/Data__const'
[ 2018-10-17 17:08:18,285 ] [ DEBUG ] [ emitter:46 ]  Added Const node 'strided_slice/stack_1/Output_0/Data__const'
[ 2018-10-17 17:08:18,285 ] [ DEBUG ] [ emitter:46 ]  Added Const node 'strided_slice/stack_2/Output_0/Data__const'
[ 2018-10-17 17:08:18,583 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,583 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,583 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,584 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,584 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,584 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,584 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,585 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,585 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,585 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,586 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,587 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,588 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,588 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,588 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,589 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,589 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,590 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,590 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,590 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,591 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,591 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,591 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,592 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,592 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,592 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,593 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,593 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,594 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,594 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,594 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,595 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,595 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,596 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,596 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,596 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,597 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,597 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,598 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,600 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,605 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,606 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,608 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,611 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,614 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,615 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,617 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,619 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,621 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,622 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,624 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,626 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,628 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,629 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,632 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,633 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,636 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,638 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,639 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,641 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,643 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,645 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,647 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,648 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,654 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,656 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,657 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,660 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,661 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,673 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,674 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,676 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,678 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,679 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,683 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,685 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,687 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,697 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,700 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,702 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,707 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,709 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,712 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,713 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,715 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,717 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,719 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,722 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,724 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,726 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,729 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,732 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,739 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,741 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,743 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,746 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,748 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,751 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,752 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,754 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,756 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,758 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,761 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,762 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,765 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,766 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,768 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,777 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,779 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,781 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,784 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,787 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,789 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,790 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,791 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,794 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,796 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,799 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,803 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,815 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,818 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,822 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,824 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,826 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,830 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,833 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,837 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,840 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,842 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,851 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,854 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,864 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,867 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,869 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,873 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,876 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,880 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,883 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,896 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,899 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,902 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,905 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,907 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,909 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,913 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,917 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,922 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,924 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,927 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,931 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['Add_'] nodes.
[ 2018-10-17 17:08:18,931 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,932 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Conv2d_2a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,932 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Conv2d_2b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,932 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_3a/Branch_1/Conv2d_0a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,932 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,932 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,933 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,933 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_1/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,933 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,933 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_4a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,934 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,934 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,934 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,934 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,934 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,934 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,935 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,935 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5b/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,935 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,935 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,935 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,935 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,936 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,936 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,936 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5c/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,936 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,936 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,936 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,937 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,937 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,937 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,937 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5d/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,937 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,937 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,938 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,938 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_2/Conv2d_0c_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,938 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,938 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,938 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_5e/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,938 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,938 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_0b_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,939 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_1/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,939 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,939 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,939 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,939 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,939 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,940 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,940 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,940 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,940 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,940 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,941 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6b/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,941 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,941 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,941 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,941 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,942 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,942 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,942 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,942 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,942 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,942 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6c/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,943 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,943 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,943 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,943 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,943 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,944 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,944 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,944 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,944 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,944 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6d/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,946 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,946 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,946 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,947 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,947 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,947 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,947 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,947 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,947 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,948 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6e/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,948 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,948 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,948 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,948 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,949 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,949 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,949 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,949 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,949 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,950 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6f/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,950 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,950 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,950 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,950 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,951 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,951 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,951 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,951 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,951 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,951 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6g/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,952 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,952 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,952 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0b_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,952 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0c_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,952 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0d_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,953 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_2/Conv2d_0e_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,953 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,953 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,953 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,953 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_6h/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,954 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,954 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0b_1x7/Conv2D'] nodes.
[ 2018-10-17 17:08:18,954 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_0c_7x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,954 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_1/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,954 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,954 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7a/Branch_0/Conv2d_1a_3x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,955 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,955 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,955 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0b_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,955 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0c_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,956 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0e_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,956 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_2/Conv2d_0d_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,956 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,956 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0c_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,956 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_1/Conv2d_0b_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,957 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7b/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,957 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,957 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,957 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0b_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,957 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0c_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,958 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0e_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,958 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_2/Conv2d_0d_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,958 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,958 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0c_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,958 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_1/Conv2d_0b_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,959 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7c/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,959 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_3/Conv2d_0b_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,959 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,959 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0b_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,959 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0c_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,960 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0e_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,960 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_2/Conv2d_0d_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,960 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,960 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0c_3x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,960 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_1/Conv2d_0b_1x3/Conv2D'] nodes.
[ 2018-10-17 17:08:18,961 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['InceptionV4_1/InceptionV4/Mixed_7d/Branch_0/Conv2d_0a_1x1/Conv2D'] nodes.
[ 2018-10-17 17:08:18,961 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['strided_slice/stack/Output_0/Data__const'] nodes.
[ 2018-10-17 17:08:18,961 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['strided_slice/stack_1/Output_0/Data__const'] nodes.
[ 2018-10-17 17:08:18,961 ] [ DEBUG ] [ convert_data_type:52 ]  Blob was converted to <class 'numpy.float32'> while dumping to the bin file. This blob is an input for ['strided_slice/stack_2/Output_0/Data__const'] nodes.
[ 2018-10-17 17:08:19,000 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[3]' offset: '0' size: '12'
[ 2018-10-17 17:08:19,000 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(3,)' offset: '12' size: '12'
[ 2018-10-17 17:08:19,000 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[1]' offset: '24' size: '4'
[ 2018-10-17 17:08:19,001 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[1]' offset: '28' size: '4'
[ 2018-10-17 17:08:19,001 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[1]' offset: '32' size: '4'
[ 2018-10-17 17:08:19,001 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[32  3  3  3]' offset: '36' size: '3456'
[ 2018-10-17 17:08:19,001 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(32,)' offset: '3492' size: '128'
[ 2018-10-17 17:08:19,002 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[32 32  3  3]' offset: '3620' size: '36864'
[ 2018-10-17 17:08:19,002 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(32,)' offset: '40484' size: '128'
[ 2018-10-17 17:08:19,003 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[64 32  3  3]' offset: '40612' size: '73728'
[ 2018-10-17 17:08:19,003 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '114340' size: '256'
[ 2018-10-17 17:08:19,005 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '114596' size: '221184'
[ 2018-10-17 17:08:19,013 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '335780' size: '384'
[ 2018-10-17 17:08:19,013 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 160   1   1]' offset: '336164' size: '40960'
[ 2018-10-17 17:08:19,014 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '377124' size: '256'
[ 2018-10-17 17:08:19,016 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '377380' size: '221184'
[ 2018-10-17 17:08:19,016 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '598564' size: '384'
[ 2018-10-17 17:08:19,017 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 160   1   1]' offset: '598948' size: '40960'
[ 2018-10-17 17:08:19,017 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '639908' size: '256'
[ 2018-10-17 17:08:19,018 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[64 64  1  7]' offset: '640164' size: '114688'
[ 2018-10-17 17:08:19,021 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '754852' size: '256'
[ 2018-10-17 17:08:19,022 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[64 64  7  1]' offset: '755108' size: '114688'
[ 2018-10-17 17:08:19,023 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '869796' size: '256'
[ 2018-10-17 17:08:19,025 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '870052' size: '221184'
[ 2018-10-17 17:08:19,031 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '1091236' size: '384'
[ 2018-10-17 17:08:19,043 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   3   3]' offset: '1091620' size: '1327104'
[ 2018-10-17 17:08:19,044 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '2418724' size: '768'
[ 2018-10-17 17:08:19,045 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '2419492' size: '147456'
[ 2018-10-17 17:08:19,045 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '2566948' size: '384'
[ 2018-10-17 17:08:19,046 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '2567332' size: '98304'
[ 2018-10-17 17:08:19,047 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '2665636' size: '256'
[ 2018-10-17 17:08:19,049 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '2665892' size: '221184'
[ 2018-10-17 17:08:19,049 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '2887076' size: '384'
[ 2018-10-17 17:08:19,050 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '2887460' size: '98304'
[ 2018-10-17 17:08:19,050 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '2985764' size: '256'
[ 2018-10-17 17:08:19,052 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '2986020' size: '221184'
[ 2018-10-17 17:08:19,052 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '3207204' size: '384'
[ 2018-10-17 17:08:19,055 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 96  3  3]' offset: '3207588' size: '331776'
[ 2018-10-17 17:08:19,055 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '3539364' size: '384'
[ 2018-10-17 17:08:19,057 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '3539748' size: '147456'
[ 2018-10-17 17:08:19,057 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '3687204' size: '384'
[ 2018-10-17 17:08:19,059 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '3687588' size: '147456'
[ 2018-10-17 17:08:19,059 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '3835044' size: '384'
[ 2018-10-17 17:08:19,061 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '3835428' size: '98304'
[ 2018-10-17 17:08:19,061 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '3933732' size: '256'
[ 2018-10-17 17:08:19,063 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '3933988' size: '221184'
[ 2018-10-17 17:08:19,063 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '4155172' size: '384'
[ 2018-10-17 17:08:19,064 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '4155556' size: '98304'
[ 2018-10-17 17:08:19,064 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '4253860' size: '256'
[ 2018-10-17 17:08:19,066 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '4254116' size: '221184'
[ 2018-10-17 17:08:19,067 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '4475300' size: '384'
[ 2018-10-17 17:08:19,075 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 96  3  3]' offset: '4475684' size: '331776'
[ 2018-10-17 17:08:19,076 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '4807460' size: '384'
[ 2018-10-17 17:08:19,077 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '4807844' size: '147456'
[ 2018-10-17 17:08:19,077 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '4955300' size: '384'
[ 2018-10-17 17:08:19,080 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '4955684' size: '147456'
[ 2018-10-17 17:08:19,080 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '5103140' size: '384'
[ 2018-10-17 17:08:19,081 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '5103524' size: '98304'
[ 2018-10-17 17:08:19,082 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '5201828' size: '256'
[ 2018-10-17 17:08:19,084 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '5202084' size: '221184'
[ 2018-10-17 17:08:19,085 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '5423268' size: '384'
[ 2018-10-17 17:08:19,086 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '5423652' size: '98304'
[ 2018-10-17 17:08:19,086 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '5521956' size: '256'
[ 2018-10-17 17:08:19,088 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '5522212' size: '221184'
[ 2018-10-17 17:08:19,088 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '5743396' size: '384'
[ 2018-10-17 17:08:19,098 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 96  3  3]' offset: '5743780' size: '331776'
[ 2018-10-17 17:08:19,098 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '6075556' size: '384'
[ 2018-10-17 17:08:19,100 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '6075940' size: '147456'
[ 2018-10-17 17:08:19,100 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '6223396' size: '384'
[ 2018-10-17 17:08:19,102 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '6223780' size: '147456'
[ 2018-10-17 17:08:19,102 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '6371236' size: '384'
[ 2018-10-17 17:08:19,106 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '6371620' size: '98304'
[ 2018-10-17 17:08:19,115 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '6469924' size: '256'
[ 2018-10-17 17:08:19,117 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '6470180' size: '221184'
[ 2018-10-17 17:08:19,118 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '6691364' size: '384'
[ 2018-10-17 17:08:19,119 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 64 384   1   1]' offset: '6691748' size: '98304'
[ 2018-10-17 17:08:19,120 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(64,)' offset: '6790052' size: '256'
[ 2018-10-17 17:08:19,122 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 64  3  3]' offset: '6790308' size: '221184'
[ 2018-10-17 17:08:19,122 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '7011492' size: '384'
[ 2018-10-17 17:08:19,125 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[96 96  3  3]' offset: '7011876' size: '331776'
[ 2018-10-17 17:08:19,125 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '7343652' size: '384'
[ 2018-10-17 17:08:19,127 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 96 384   1   1]' offset: '7344036' size: '147456'
[ 2018-10-17 17:08:19,127 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(96,)' offset: '7491492' size: '384'
[ 2018-10-17 17:08:19,207 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[384 384   3   3]' offset: '7491876' size: '5308416'
[ 2018-10-17 17:08:19,208 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '12800292' size: '1536'
[ 2018-10-17 17:08:19,210 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 384   1   1]' offset: '12801828' size: '294912'
[ 2018-10-17 17:08:19,210 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '13096740' size: '768'
[ 2018-10-17 17:08:19,225 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   3   3]' offset: '13097508' size: '1548288'
[ 2018-10-17 17:08:19,226 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '14645796' size: '896'
[ 2018-10-17 17:08:19,256 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   3   3]' offset: '14646692' size: '2064384'
[ 2018-10-17 17:08:19,256 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '16711076' size: '1024'
[ 2018-10-17 17:08:19,270 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1024    1    1]' offset: '16712100' size: '1572864'
[ 2018-10-17 17:08:19,271 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '18284964' size: '1536'
[ 2018-10-17 17:08:19,295 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '18286500' size: '786432'
[ 2018-10-17 17:08:19,295 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '19072932' size: '768'
[ 2018-10-17 17:08:19,304 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '19073700' size: '1204224'
[ 2018-10-17 17:08:19,306 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '20277924' size: '896'
[ 2018-10-17 17:08:19,327 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   7   1]' offset: '20278820' size: '1605632'
[ 2018-10-17 17:08:19,327 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '21884452' size: '1024'
[ 2018-10-17 17:08:19,334 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '21885476' size: '786432'
[ 2018-10-17 17:08:19,334 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '22671908' size: '768'
[ 2018-10-17 17:08:19,353 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   7   1]' offset: '22672676' size: '1032192'
[ 2018-10-17 17:08:19,358 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '23704868' size: '768'
[ 2018-10-17 17:08:19,370 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '23705636' size: '1204224'
[ 2018-10-17 17:08:19,370 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '24909860' size: '896'
[ 2018-10-17 17:08:19,381 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 224   7   1]' offset: '24910756' size: '1404928'
[ 2018-10-17 17:08:19,382 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '26315684' size: '896'
[ 2018-10-17 17:08:19,406 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   1   7]' offset: '26316580' size: '1605632'
[ 2018-10-17 17:08:19,412 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '27922212' size: '1024'
[ 2018-10-17 17:08:19,418 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 128 1024    1    1]' offset: '27923236' size: '524288'
[ 2018-10-17 17:08:19,418 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(128,)' offset: '28447524' size: '512'
[ 2018-10-17 17:08:19,431 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1024    1    1]' offset: '28448036' size: '1572864'
[ 2018-10-17 17:08:19,431 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '30020900' size: '1536'
[ 2018-10-17 17:08:19,438 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '30022436' size: '786432'
[ 2018-10-17 17:08:19,438 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '30808868' size: '768'
[ 2018-10-17 17:08:19,460 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '30809636' size: '1204224'
[ 2018-10-17 17:08:19,462 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '32013860' size: '896'
[ 2018-10-17 17:08:19,475 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   7   1]' offset: '32014756' size: '1605632'
[ 2018-10-17 17:08:19,476 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '33620388' size: '1024'
[ 2018-10-17 17:08:19,482 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '33621412' size: '786432'
[ 2018-10-17 17:08:19,483 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '34407844' size: '768'
[ 2018-10-17 17:08:19,505 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   7   1]' offset: '34408612' size: '1032192'
[ 2018-10-17 17:08:19,507 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '35440804' size: '768'
[ 2018-10-17 17:08:19,516 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '35441572' size: '1204224'
[ 2018-10-17 17:08:19,517 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '36645796' size: '896'
[ 2018-10-17 17:08:19,541 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 224   7   1]' offset: '36646692' size: '1404928'
[ 2018-10-17 17:08:19,541 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '38051620' size: '896'
[ 2018-10-17 17:08:19,555 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   1   7]' offset: '38052516' size: '1605632'
[ 2018-10-17 17:08:19,555 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '39658148' size: '1024'
[ 2018-10-17 17:08:19,564 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 128 1024    1    1]' offset: '39659172' size: '524288'
[ 2018-10-17 17:08:19,564 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(128,)' offset: '40183460' size: '512'
[ 2018-10-17 17:08:19,585 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1024    1    1]' offset: '40183972' size: '1572864'
[ 2018-10-17 17:08:19,585 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '41756836' size: '1536'
[ 2018-10-17 17:08:19,593 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '41758372' size: '786432'
[ 2018-10-17 17:08:19,593 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '42544804' size: '768'
[ 2018-10-17 17:08:19,609 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '42545572' size: '1204224'
[ 2018-10-17 17:08:19,609 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '43749796' size: '896'
[ 2018-10-17 17:08:19,639 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   7   1]' offset: '43750692' size: '1605632'
[ 2018-10-17 17:08:19,639 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '45356324' size: '1024'
[ 2018-10-17 17:08:19,654 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '45357348' size: '786432'
[ 2018-10-17 17:08:19,655 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '46143780' size: '768'
[ 2018-10-17 17:08:19,664 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   7   1]' offset: '46144548' size: '1032192'
[ 2018-10-17 17:08:19,664 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '47176740' size: '768'
[ 2018-10-17 17:08:19,680 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '47177508' size: '1204224'
[ 2018-10-17 17:08:19,680 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '48381732' size: '896'
[ 2018-10-17 17:08:19,696 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 224   7   1]' offset: '48382628' size: '1404928'
[ 2018-10-17 17:08:19,696 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '49787556' size: '896'
[ 2018-10-17 17:08:19,709 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   1   7]' offset: '49788452' size: '1605632'
[ 2018-10-17 17:08:19,715 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '51394084' size: '1024'
[ 2018-10-17 17:08:19,720 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 128 1024    1    1]' offset: '51395108' size: '524288'
[ 2018-10-17 17:08:19,722 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(128,)' offset: '51919396' size: '512'
[ 2018-10-17 17:08:19,736 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1024    1    1]' offset: '51919908' size: '1572864'
[ 2018-10-17 17:08:19,736 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '53492772' size: '1536'
[ 2018-10-17 17:08:19,743 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '53494308' size: '786432'
[ 2018-10-17 17:08:19,744 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '54280740' size: '768'
[ 2018-10-17 17:08:19,760 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '54281508' size: '1204224'
[ 2018-10-17 17:08:19,761 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '55485732' size: '896'
[ 2018-10-17 17:08:19,779 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   7   1]' offset: '55486628' size: '1605632'
[ 2018-10-17 17:08:19,780 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '57092260' size: '1024'
[ 2018-10-17 17:08:19,786 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '57093284' size: '786432'
[ 2018-10-17 17:08:19,786 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '57879716' size: '768'
[ 2018-10-17 17:08:19,798 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   7   1]' offset: '57880484' size: '1032192'
[ 2018-10-17 17:08:19,798 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '58912676' size: '768'
[ 2018-10-17 17:08:19,808 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '58913444' size: '1204224'
[ 2018-10-17 17:08:19,808 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '60117668' size: '896'
[ 2018-10-17 17:08:19,821 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 224   7   1]' offset: '60118564' size: '1404928'
[ 2018-10-17 17:08:19,822 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '61523492' size: '896'
[ 2018-10-17 17:08:19,836 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   1   7]' offset: '61524388' size: '1605632'
[ 2018-10-17 17:08:19,836 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '63130020' size: '1024'
[ 2018-10-17 17:08:19,841 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 128 1024    1    1]' offset: '63131044' size: '524288'
[ 2018-10-17 17:08:19,851 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(128,)' offset: '63655332' size: '512'
[ 2018-10-17 17:08:19,869 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1024    1    1]' offset: '63655844' size: '1572864'
[ 2018-10-17 17:08:19,870 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '65228708' size: '1536'
[ 2018-10-17 17:08:19,884 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '65230244' size: '786432'
[ 2018-10-17 17:08:19,884 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '66016676' size: '768'
[ 2018-10-17 17:08:19,903 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '66017444' size: '1204224'
[ 2018-10-17 17:08:19,914 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '67221668' size: '896'
[ 2018-10-17 17:08:19,942 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   7   1]' offset: '67222564' size: '1605632'
[ 2018-10-17 17:08:19,943 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '68828196' size: '1024'
[ 2018-10-17 17:08:19,950 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '68829220' size: '786432'
[ 2018-10-17 17:08:19,960 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '69615652' size: '768'
[ 2018-10-17 17:08:19,969 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   7   1]' offset: '69616420' size: '1032192'
[ 2018-10-17 17:08:19,979 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '70648612' size: '768'
[ 2018-10-17 17:08:19,990 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '70649380' size: '1204224'
[ 2018-10-17 17:08:19,996 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '71853604' size: '896'
[ 2018-10-17 17:08:20,010 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 224   7   1]' offset: '71854500' size: '1404928'
[ 2018-10-17 17:08:20,020 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '73259428' size: '896'
[ 2018-10-17 17:08:20,038 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   1   7]' offset: '73260324' size: '1605632'
[ 2018-10-17 17:08:20,043 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '74865956' size: '1024'
[ 2018-10-17 17:08:20,047 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 128 1024    1    1]' offset: '74866980' size: '524288'
[ 2018-10-17 17:08:20,051 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(128,)' offset: '75391268' size: '512'
[ 2018-10-17 17:08:20,085 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1024    1    1]' offset: '75391780' size: '1572864'
[ 2018-10-17 17:08:20,085 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '76964644' size: '1536'
[ 2018-10-17 17:08:20,092 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '76966180' size: '786432'
[ 2018-10-17 17:08:20,092 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '77752612' size: '768'
[ 2018-10-17 17:08:20,114 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '77753380' size: '1204224'
[ 2018-10-17 17:08:20,115 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '78957604' size: '896'
[ 2018-10-17 17:08:20,142 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   7   1]' offset: '78958500' size: '1605632'
[ 2018-10-17 17:08:20,148 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '80564132' size: '1024'
[ 2018-10-17 17:08:20,155 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '80565156' size: '786432'
[ 2018-10-17 17:08:20,155 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '81351588' size: '768'
[ 2018-10-17 17:08:20,164 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   7   1]' offset: '81352356' size: '1032192'
[ 2018-10-17 17:08:20,164 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '82384548' size: '768'
[ 2018-10-17 17:08:20,181 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '82385316' size: '1204224'
[ 2018-10-17 17:08:20,183 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '83589540' size: '896'
[ 2018-10-17 17:08:20,195 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 224   7   1]' offset: '83590436' size: '1404928'
[ 2018-10-17 17:08:20,195 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '84995364' size: '896'
[ 2018-10-17 17:08:20,208 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   1   7]' offset: '84996260' size: '1605632'
[ 2018-10-17 17:08:20,208 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '86601892' size: '1024'
[ 2018-10-17 17:08:20,215 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 128 1024    1    1]' offset: '86602916' size: '524288'
[ 2018-10-17 17:08:20,215 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(128,)' offset: '87127204' size: '512'
[ 2018-10-17 17:08:20,228 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1024    1    1]' offset: '87127716' size: '1572864'
[ 2018-10-17 17:08:20,229 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '88700580' size: '1536'
[ 2018-10-17 17:08:20,237 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '88702116' size: '786432'
[ 2018-10-17 17:08:20,237 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '89488548' size: '768'
[ 2018-10-17 17:08:20,247 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '89489316' size: '1204224'
[ 2018-10-17 17:08:20,247 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '90693540' size: '896'
[ 2018-10-17 17:08:20,265 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   7   1]' offset: '90694436' size: '1605632'
[ 2018-10-17 17:08:20,266 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '92300068' size: '1024'
[ 2018-10-17 17:08:20,272 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '92301092' size: '786432'
[ 2018-10-17 17:08:20,273 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '93087524' size: '768'
[ 2018-10-17 17:08:20,284 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   7   1]' offset: '93088292' size: '1032192'
[ 2018-10-17 17:08:20,284 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '94120484' size: '768'
[ 2018-10-17 17:08:20,296 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 192   1   7]' offset: '94121252' size: '1204224'
[ 2018-10-17 17:08:20,296 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '95325476' size: '896'
[ 2018-10-17 17:08:20,310 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[224 224   7   1]' offset: '95326372' size: '1404928'
[ 2018-10-17 17:08:20,311 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(224,)' offset: '96731300' size: '896'
[ 2018-10-17 17:08:20,323 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 224   1   7]' offset: '96732196' size: '1605632'
[ 2018-10-17 17:08:20,324 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '98337828' size: '1024'
[ 2018-10-17 17:08:20,333 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 128 1024    1    1]' offset: '98338852' size: '524288'
[ 2018-10-17 17:08:20,333 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(128,)' offset: '98863140' size: '512'
[ 2018-10-17 17:08:20,340 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 192 1024    1    1]' offset: '98863652' size: '786432'
[ 2018-10-17 17:08:20,340 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '99650084' size: '768'
[ 2018-10-17 17:08:20,354 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[192 192   3   3]' offset: '99650852' size: '1327104'
[ 2018-10-17 17:08:20,361 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(192,)' offset: '100977956' size: '768'
[ 2018-10-17 17:08:20,372 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 256 1024    1    1]' offset: '100978724' size: '1048576'
[ 2018-10-17 17:08:20,373 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '102027300' size: '1024'
[ 2018-10-17 17:08:20,390 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 256   1   7]' offset: '102028324' size: '1835008'
[ 2018-10-17 17:08:20,392 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '103863332' size: '1024'
[ 2018-10-17 17:08:20,411 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[320 256   7   1]' offset: '103864356' size: '2293760'
[ 2018-10-17 17:08:20,411 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(320,)' offset: '106158116' size: '1280'
[ 2018-10-17 17:08:20,447 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[320 320   3   3]' offset: '106159396' size: '3686400'
[ 2018-10-17 17:08:20,447 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(320,)' offset: '109845796' size: '1280'
[ 2018-10-17 17:08:20,463 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 256 1536    1    1]' offset: '109847076' size: '1572864'
[ 2018-10-17 17:08:20,463 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '111419940' size: '1024'
[ 2018-10-17 17:08:20,483 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1536    1    1]' offset: '111420964' size: '2359296'
[ 2018-10-17 17:08:20,493 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '113780260' size: '1536'
[ 2018-10-17 17:08:20,509 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 384   1   3]' offset: '113781796' size: '1179648'
[ 2018-10-17 17:08:20,514 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '114961444' size: '1024'
[ 2018-10-17 17:08:20,524 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 384   3   1]' offset: '114962468' size: '1179648'
[ 2018-10-17 17:08:20,525 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '116142116' size: '1024'
[ 2018-10-17 17:08:20,544 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1536    1    1]' offset: '116143140' size: '2359296'
[ 2018-10-17 17:08:20,544 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '118502436' size: '1536'
[ 2018-10-17 17:08:20,561 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[448 384   3   1]' offset: '118503972' size: '2064384'
[ 2018-10-17 17:08:20,561 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(448,)' offset: '120568356' size: '1792'
[ 2018-10-17 17:08:20,584 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[512 448   1   3]' offset: '120570148' size: '2752512'
[ 2018-10-17 17:08:20,584 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(512,)' offset: '123322660' size: '2048'
[ 2018-10-17 17:08:20,598 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 512   1   3]' offset: '123324708' size: '1572864'
[ 2018-10-17 17:08:20,598 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '124897572' size: '1024'
[ 2018-10-17 17:08:20,610 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 512   3   1]' offset: '124898596' size: '1572864'
[ 2018-10-17 17:08:20,611 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '126471460' size: '1024'
[ 2018-10-17 17:08:20,631 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 256 1536    1    1]' offset: '126472484' size: '1572864'
[ 2018-10-17 17:08:20,631 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '128045348' size: '1024'
[ 2018-10-17 17:08:20,674 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 256 1536    1    1]' offset: '128046372' size: '1572864'
[ 2018-10-17 17:08:20,674 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '129619236' size: '1024'
[ 2018-10-17 17:08:20,703 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[ 384 1536    1    1]' offset: '129620260' size: '2359296'
[ 2018-10-17 17:08:20,704 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(384,)' offset: '131979556' size: '1536'
[ 2018-10-17 17:08:20,715 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '[256 384   1   3]' offset: '131981092' size: '1179648'
[ 2018-10-17 17:08:20,715 ] [ DEBUG ] [ emitter:98 ]  Detected binary for shape: '(256,)' offset: '133160740' size: '1024'
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[ ERROR ]  List of operations that cannot be converted to IE IR:
[ ERROR ]      StridedSlice (1)
[ ERROR ]          strided_slice
[ ERROR ]  Part of the nodes was not translated to IE. Stopped. 
 For more information please refer to Model Optimizer FAQ (<INSTALL_DIR>/deployment_tools/documentation/docs/MO_FAQ.html), question #24. 
[ 2018-10-17 17:08:21,996 ] [ DEBUG ] [ main:327 ]  Traceback (most recent call last):
  File "/home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/mo/main.py", line 321, in main
    return driver(argv)
  File "/home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/mo/main.py", line 263, in driver
    mean_scale_values=mean_scale)
  File "/home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 301, in tf2nx
    prepare_emit_ir(graph=graph, data_type=argv.data_type, output_dir=output_dir, output_model_name=output_model_name)
  File "/home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/mo/pipeline/common.py", line 99, in prepare_emit_ir
    mean_size=mean_size)
  File "/home/intel/computer_vision_sdk_fpga_2018.3.343/deployment_tools/model_optimizer/mo/back/ie_ir_ver_2/emitter.py", line 325, in generate_ie_ir
    refer_to_faq_msg(24))
mo.utils.error.Error: Part of the nodes was not translated to IE. Stopped. 
 For more information please refer to Model Optimizer FAQ (<INSTALL_DIR>/deployment_tools/documentation/docs/MO_FAQ.html), question #24.