[ 2019-03-17 22:09:49,481 ] [ DEBUG ] [ main:133 ]  Namespace(batch=None, data_type='float', disable_fusing=False, disable_gfusing=False, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, extensions='/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, generate_deprecated_IR_V2=False, input='input1,input2', input_checkpoint=None, input_meta_graph=None, input_model='/home/sweta/Desktop/12-3-19/fall_v1.1/frozen_model_1.pb', input_model_is_text=False, input_shape=None, log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=False, offload_unsupported_operations_to_tf=False, output='output', output_dir='/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/irmodels', reverse_input_channels=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, tensorboard_logdir=None, tensorflow_custom_layer_libraries=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)
[ 2019-03-17 22:09:49,481 ] [ DEBUG ] [ main:134 ]  Model Optimizer started
[ 2019-03-17 22:09:49,481 ] [ DEBUG ] [ main:148 ]  Output model name would be frozen_model_1{.xml, .bin}
Model Optimizer arguments:
Common parameters:
	- Path to the Input Model: 	/home/sweta/Desktop/12-3-19/fall_v1.1/frozen_model_1.pb
	- Path for generated IR: 	/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/irmodels
	- IR output name: 	frozen_model_1
	- Log level: 	DEBUG
	- Batch: 	Not specified, inherited from the model
	- Input layers: 	input1,input2
	- Output layers: 	output
	- Input shapes: 	Not specified, inherited from the model
	- Mean values: 	Not specified
	- 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
	- List of shared libraries with TensorFlow custom layers implementation: 	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: 	1.5.12.49d067a0
[ 2019-03-17 22:09:51,255 ] [ DEBUG ] [ main:236 ]  Placeholder shapes : {'input1': None, 'input2': None}
[ INFO ]  Importing extensions from: /home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo
[ INFO ]  New subclass: <class 'mo.ops.const.Const'>
[ INFO ]  Registered a new subclass with key: Const
[ INFO ]  New subclass: <class 'extensions.ops.lstm_cell.LSTMCell'>
[ INFO ]  Registered a new subclass with key: LSTMCell
[ INFO ]  New subclass: <class 'mo.ops.output.Output'>
[ INFO ]  Registered a new subclass with key: OpOutput
[ INFO ]  New subclass: <class 'mo.ops.reshape.Reshape'>
[ INFO ]  Registered a new subclass with key: Reshape
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorInput
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>
[ INFO ]  Registered a new subclass with key: TensorIteratorOutput
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>
[ INFO ]  Registered a new subclass with key: TensorIteratorCondition
[ INFO ]  New subclass: <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>
[ INFO ]  Registered a new subclass with key: TensorIteratorBackEdge
[ INFO ]  New subclass: <class 'extensions.ops.tensor_iterator.TensorIterator'>
[ INFO ]  Registered a new subclass with key: TensorIterator
[ INFO ]  New subclass: <class 'mo.ops.shape.Shape'>
[ INFO ]  Registered a new subclass with key: Shape
[ WARNING ]  Skipped <class 'mo.ops.lin_op.LinOp'> 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
[ WARNING ]  Skipped <class 'mo.ops.permute.Permute'> registration because it was already registered or it was disabled. 
[ 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.deconvolution.Deconvolution'>
[ INFO ]  Registered a new subclass with key: Deconvolution
[ 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. 
[ INFO ]  New subclass: <class 'mo.ops.eltwise_n.EltwiseN'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ 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.Flatten'>
[ INFO ]  Registered a new subclass with key: Flatten
[ INFO ]  New subclass: <class 'mo.ops.flatten_onnx.FlattenONNX'>
[ INFO ]  Registered a new subclass with key: FlattenONNX
[ 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.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.reduce.Reduce'> 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. 
[ 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
[ INFO ]  New subclass: <class 'mo.ops.softmax.Softmax'>
[ INFO ]  Registered a new subclass with key: SoftMax
[ 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.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'>
[ INFO ]  Registered a new subclass with key: UnknownOp
[ WARNING ]  Skipped <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'>
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'>
[ INFO ]  New subclass: <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.GemmResolver.GemmResolver'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIterator_utils.DeleteSelect'>
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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.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.reduce.Reduce'> 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.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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> 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 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> 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 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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.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.reduce.Reduce'> 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.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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> 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 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> 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 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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.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.reduce.Reduce'> 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.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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> 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 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> 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 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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. 
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[ 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.reduce.Reduce'> 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.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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> 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 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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.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.reduce.Reduce'> 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.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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> 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 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> registration because it was already registered or it was disabled. 
[ INFO ]  Importing extensions from: /home/sweta/intel/computer_vision_sdk_2018.5.455/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 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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.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.reduce.Reduce'> 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.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.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.ops.DetectionOutput.DetectionOutput'>
[ INFO ]  Registered a new subclass with key: DetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.Enter.Enter'>
[ INFO ]  Registered a new subclass with key: Enter
[ INFO ]  New subclass: <class 'extensions.ops.Exit.Exit'>
[ INFO ]  Registered a new subclass with key: Exit
[ INFO ]  New subclass: <class 'extensions.ops.NextIteration.NextIteration'>
[ INFO ]  Registered a new subclass with key: NextIteration
[ INFO ]  New subclass: <class 'extensions.ops.SquaredDifference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ INFO ]  New subclass: <class 'extensions.ops.TensorArray.TensorArray'>
[ INFO ]  Registered a new subclass with key: TensorArrayV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayGather.TensorArrayGather'>
[ INFO ]  Registered a new subclass with key: TensorArrayGatherV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>
[ INFO ]  Registered a new subclass with key: TensorArrayReadV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>
[ INFO ]  Registered a new subclass with key: TensorArrayScatterV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArraySize.TensorArraySize'>
[ INFO ]  Registered a new subclass with key: TensorArraySizeV3
[ INFO ]  New subclass: <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>
[ INFO ]  Registered a new subclass with key: TensorArrayWriteV3
[ 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.axpy.AxpyOp'>
[ INFO ]  Registered a new subclass with key: Axpy
[ INFO ]  New subclass: <class 'extensions.ops.bn.BNOp'>
[ INFO ]  Registered a new subclass with key: BN
[ INFO ]  New subclass: <class 'extensions.ops.constant_fill.ConstantFill'>
[ INFO ]  Registered a new subclass with key: ConstantFill
[ 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.depth_to_space.DepthToSpaceOp'>
[ INFO ]  Registered a new subclass with key: DepthToSpace
[ INFO ]  New subclass: <class 'extensions.ops.gather.Gather'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'extensions.ops.grn.GRNOp'>
[ INFO ]  Registered a new subclass with key: GRN
[ INFO ]  New subclass: <class 'extensions.ops.identity.IdentityOp'>
[ INFO ]  Registered a new subclass with key: Identity
[ 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.lstm_sequence.LSTMSequence'>
[ INFO ]  Registered a new subclass with key: LSTMSequence
[ 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.pack.PackOp'>
[ INFO ]  Registered a new subclass with key: Pack
[ 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.rank.Rank'>
[ INFO ]  Registered a new subclass with key: Rank
[ 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.reverse_sequence.ReverseSequence'>
[ INFO ]  Registered a new subclass with key: ReverseSequence
[ INFO ]  New subclass: <class 'extensions.ops.select.Select'>
[ INFO ]  Registered a new subclass with key: Select
[ INFO ]  New subclass: <class 'extensions.ops.shufflechannel.ShuffleChannelOp'>
[ INFO ]  Registered a new subclass with key: ShuffleChannel
[ 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.splice.Splice'>
[ INFO ]  Registered a new subclass with key: Splice
[ INFO ]  New subclass: <class 'extensions.ops.splitv.SplitV'>
[ INFO ]  Registered a new subclass with key: SplitV
[ INFO ]  New subclass: <class 'extensions.ops.stop_gradient.StopGradientOp'>
[ INFO ]  Registered a new subclass with key: StopGradient
[ 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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> 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 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> 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 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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.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.reduce.Reduce'> 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.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.BlockLSTM.BlockLSTM'> 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.Enter.Enter'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.Exit.Exit'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.NextIteration.NextIteration'> 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.TensorArray.TensorArray'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayGather.TensorArrayGather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayRead.TensorArrayReader'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArraySize.TensorArraySize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'> 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.axpy.AxpyOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.bn.BNOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.constant_fill.ConstantFill'> 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.depth_to_space.DepthToSpaceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> 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.identity.IdentityOp'> 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.lstm_sequence.LSTMSequence'> 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.pack.PackOp'> 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.rank.Rank'> 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.reverse_sequence.ReverseSequence'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.select.Select'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.shufflechannel.ShuffleChannelOp'> 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.splice.Splice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.splitv.SplitV'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.stop_gradient.StopGradientOp'> 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.Pack.Pack'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ INFO ]  New subclass: <class 'extensions.front.image_scaler.ImageScaler'>
[ INFO ]  Registered a new subclass with key: ImageScaler
[ INFO ]  New subclass: <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ INFO ]  Registered a new subclass with key: InstanceNormalization
[ INFO ]  New subclass: <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ INFO ]  Registered a new subclass with key: Reciprocal
[ 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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> 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 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> 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 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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.deconvolution.Deconvolution'> 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.eltwise_n.EltwiseN'> 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.Flatten'> 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.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.reduce.Reduce'> 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.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.BlockLSTM.BlockLSTM'> 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.Enter.Enter'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.Exit.Exit'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.NextIteration.NextIteration'> 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.TensorArray.TensorArray'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayGather.TensorArrayGather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayRead.TensorArrayReader'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArraySize.TensorArraySize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'> 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.axpy.AxpyOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.bn.BNOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.constant_fill.ConstantFill'> 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.depth_to_space.DepthToSpaceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> 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.identity.IdentityOp'> 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.lstm_sequence.LSTMSequence'> 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.pack.PackOp'> 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.rank.Rank'> 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.reverse_sequence.ReverseSequence'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.select.Select'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.shufflechannel.ShuffleChannelOp'> 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.splice.Splice'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.splitv.SplitV'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.stop_gradient.StopGradientOp'> 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.BlockLSTM_ext.BlockLSTMExtractor'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.front.tf.CTCGreedyDecoder_ext.CTCCGreedyDecoderFrontExtractor'>
[ INFO ]  Registered a new subclass with key: CTCGreedyDecoder
[ INFO ]  New subclass: <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'>
[ INFO ]  Registered a new subclass with key: TensorArrayV3
[ INFO ]  New subclass: <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'>
[ INFO ]  Registered a new subclass with key: TensorArrayGatherV3
[ INFO ]  New subclass: <class 'extensions.front.tf.addn_ext.AddNExtractor'>
[ INFO ]  Registered a new subclass with key: AddN
[ 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.concat_ext.ConcatFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Concat
[ INFO ]  New subclass: <class 'extensions.front.tf.conv_ext.Conv2DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv2D
[ INFO ]  New subclass: <class 'extensions.front.tf.conv_ext.DepthwiseConv2dNativeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: DepthwiseConv2dNative
[ INFO ]  New subclass: <class 'extensions.front.tf.conv_ext.Conv3DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv3D
[ INFO ]  New subclass: <class 'extensions.front.tf.crop_and_resize_ext.CropAndResizeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: CropAndResize
[ INFO ]  New subclass: <class 'extensions.front.tf.deconv_ext.Conv2DBackpropInputFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv2DBackpropInput
[ INFO ]  New subclass: <class 'extensions.front.tf.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Conv3DBackpropInputV2
[ INFO ]  New subclass: <class 'extensions.front.tf.depth_to_space.DepthToSpaceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: DepthToSpace
[ 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.gather_ext.GatherFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'extensions.front.tf.gather_ext.ResourceGatherFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ResourceGather
[ INFO ]  New subclass: <class 'extensions.front.tf.gather_ext.GatherV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: GatherV2
[ INFO ]  New subclass: <class 'extensions.front.tf.max_ext.MaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Max
[ INFO ]  New subclass: <class 'extensions.front.tf.next_iteration_ext.NextIterationExtractor'>
[ INFO ]  Registered a new subclass with key: NextIteration
[ 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.pad_ext.PadV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: PadV2
[ INFO ]  New subclass: <class 'extensions.front.tf.pad_ext.MirrorPadFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MirrorPad
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: AvgPool
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.MaxPoolFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MaxPool
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.MaxPool3DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: MaxPool3D
[ INFO ]  New subclass: <class 'extensions.front.tf.pooling_ext.AvgPool3DFrontExtractor'>
[ INFO ]  Registered a new subclass with key: AvgPool3D
[ INFO ]  New subclass: <class 'extensions.front.tf.rank_ext.RankFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Rank
[ 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
[ INFO ]  New subclass: <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReverseSequence
[ INFO ]  New subclass: <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'>
[ INFO ]  Registered a new subclass with key: ReverseV2
[ INFO ]  New subclass: <class 'extensions.front.tf.slice_ext.SliceExtractor'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'extensions.front.tf.softmax_ext.SoftmaxFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Softmax
[ INFO ]  New subclass: <class 'extensions.front.tf.split_ext.SplitVExtractor'>
[ INFO ]  Registered a new subclass with key: SplitV
[ INFO ]  New subclass: <class 'extensions.front.tf.sqrt_ext.SqrtExtractor'>
[ INFO ]  Registered a new subclass with key: Sqrt
[ INFO ]  New subclass: <class 'extensions.front.tf.square_ext.SquareExtractor'>
[ INFO ]  Registered a new subclass with key: Square
[ INFO ]  New subclass: <class 'extensions.front.tf.stop_gradient_ext.StopGradientExtractor'>
[ INFO ]  Registered a new subclass with key: StopGradient
[ INFO ]  New subclass: <class 'extensions.front.tf.tile_ext.TileExtractor'>
[ INFO ]  Registered a new subclass with key: Tile
[ INFO ]  New subclass: <class 'extensions.front.tf.variable_ext.VariableExtractor'>
[ INFO ]  Registered a new subclass with key: Variable
[ INFO ]  New subclass: <class 'extensions.front.tf.variable_ext.VariableV2Extractor'>
[ INFO ]  Registered a new subclass with key: VariableV2
[ 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.Pack.Pack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.eltwise_n.EltwiseNReplacement'> 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.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.reciprocal.ReciprocalReplacer'> 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.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ INFO ]  Registered a new subclass with key: CropAndResize
[ INFO ]  New subclass: <class 'extensions.front.tf.Unpack.Unpack'>
[ INFO ]  Registered a new subclass with key: Unpack
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssignElimination'>
[ INFO ]  Registered a new subclass with key: Assign
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssignSubElimination'>
[ INFO ]  Registered a new subclass with key: AssignSub
[ INFO ]  New subclass: <class 'extensions.front.tf.assign_elimination.AssignAddElimination'>
[ INFO ]  Registered a new subclass with key: AssignAdd
[ INFO ]  New subclass: <class 'extensions.front.tf.fake_const.FakeConstToConst'>
[ INFO ]  Registered a new subclass with key: FakeConst
[ 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 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> 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.CTCGreedyDecoder.CTCGreedyDecoderReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.concat.Concat'>
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ INFO ]  New subclass: <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'>
[ INFO ]  New subclass: <class 'extensions.front.tf.mvn.MVN'>
[ INFO ]  New subclass: <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
[ INFO ]  New subclass: <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ INFO ]  New subclass: <class 'extensions.front.tf.prelu.PReLU'>
[ INFO ]  New subclass: <class 'extensions.front.tf.prelu.PReLUWithAbs'>
[ 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.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.ObjectDetectionAPIProposalReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ WARNING ]  Skipped <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> registration because it was already registered or it was disabled. 
[ 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'>
[ INFO ]  New subclass: <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'>
[ WARNING ]  Skipped <class 'mo.ops.const.Const'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.lstm_cell.LSTMCell'> 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.reshape.Reshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.tensor_iterator.TensorIterator'> 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.lin_op.LinOp'> 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.permute.Permute'> 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. 
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[ WARNING ]  Skipped <class 'mo.ops.deconvolution.Deconvolution'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'mo.ops.power.Power'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'mo.ops.flatten_onnx.FlattenONNX'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'mo.ops.memory.Memory'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'extensions.ops.SquaredDifference.SquaredDifference'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArray.TensorArray'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayGather.TensorArrayGather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.TensorArrayRead.TensorArrayReader'> registration because it was already registered or it was disabled. 
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[ 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.depth_to_space.DepthToSpaceOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> 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.identity.IdentityOp'> 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. 
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[ WARNING ]  Skipped <class 'extensions.ops.normalize.NormalizeOp'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.ops.pack.PackOp'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.slice_ext.SliceExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.softmax_ext.SoftmaxFrontExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.split_ext.SplitVExtractor'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'extensions.front.tf.stop_gradient_ext.StopGradientExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.tile_ext.TileExtractor'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.variable_ext.VariableExtractor'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'extensions.front.LRNReplacer.LRNReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.Pack.Pack'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.eltwise_n.EltwiseNReplacement'> 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.instance_normalization.InstanceNormalization'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.reciprocal.ReciprocalReplacer'> 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. 
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[ WARNING ]  Skipped <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.BlockLSTM.BlockLSTM'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'> 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 'extensions.front.tf.assign_elimination.AssignElimination'> registration because it was already registered or it was disabled. 
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[ WARNING ]  Skipped <class 'extensions.front.tf.fake_const.FakeConstToConst'> 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. 
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[ WARNING ]  Skipped <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> registration because it was already registered or it was disabled. 
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[ 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.CTCGreedyDecoder.CTCGreedyDecoderReplacement'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.tf.concat.Concat'> 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.fifo_replacer.QueueDequeueManyV2'> 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.mvn_unrolled.MVNUnrolled'> 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 'extensions.front.tf.prelu.PReLUWithAbs'> 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.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.ObjectDetectionAPIProposalReplacement'> 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.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'> 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.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.GemmResolver.GemmResolver'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMather'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TensorIterator_utils.DeleteSelect'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ INFO ]  New subclass: <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.decompose_bi_lstm.DecomposeBiLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.mxnet_lstm_sequence_normalize.MXNetLSTMSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.DepthToSpace.DepthToSpace'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'>
[ INFO ]  New subclass: <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'>
[ INFO ]  Registered a new subclass with key: Minimum
[ INFO ]  New subclass: <class 'extensions.middle.NormalizePad.NormalizePad'>
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.Reduce.ReduceReplacer'>
[ INFO ]  Registered a new subclass with key: Reduce
[ INFO ]  New subclass: <class 'extensions.middle.ShuffleChannel.ShuffleChannel'>
[ WARNING ]  Skipped <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxesMiddleReplacer'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.TensorIteratorLSTM'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.CheckUnsupportedLSTMCell'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
[ 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. 
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[ WARNING ]  Skipped <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> 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.DepthToSpace.DepthToSpace'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> 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.MinimumMiddleReplacer.MinimumMiddleReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.NormalizePad.NormalizePad'> 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.PixelLinkReshape.PixelLinkReshape'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.Reduce.ReduceReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxesMiddleReplacer'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> 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. 
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.TensorIteratorLSTM'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.lstm_tensor_iterator_to_lstm_sequence.CheckUnsupportedLSTMCell'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionReshaper.ConvolutionReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.EltwiseBroadcast.EltwiseBroadcast'>
[ INFO ]  New subclass: <class 'extensions.back.TileReshaper.TileReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.PermuteForReshape.PermuteForReshape'>
[ WARNING ]  Skipped <class 'extensions.back.ShufflenetReLUReorder.ShufflenetReLUReorder'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.back.disable_unsupported_ND_operations.DisableUnsupportedNDOperations'> registration because it was already registered or it was disabled. 
[ INFO ]  New subclass: <class 'extensions.back.insert_compatibility_l2normalization.CompatibilityL2NormalizationPattern'>
[ 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. 
[ WARNING ]  Skipped <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'> registration because it was already registered or it was disabled. 
[ 2019-03-17 22:09:52,882 ] [ DEBUG ] [ tf:138 ]  Number of nodes in graph_def: 410
[ 2019-03-17 22:09:52,882 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Elu to extractors with custom extractor class <class 'mo.front.tf.extractors.elu.Elu'>.
[ 2019-03-17 22:09:52,882 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sigmoid to extractors with custom extractor class <class 'mo.front.tf.extractors.sigmoid.Sigmoid'>.
[ 2019-03-17 22:09:52,882 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tanh to extractors with custom extractor class <class 'mo.front.tf.extractors.tanh.Tanh'>.
[ 2019-03-17 22:09:52,882 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BlockLSTM to extractors with custom extractor class <class 'extensions.front.tf.BlockLSTM_ext.BlockLSTMExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry CTCGreedyDecoder to extractors with custom extractor class <class 'extensions.front.tf.CTCGreedyDecoder_ext.CTCCGreedyDecoderFrontExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayGatherV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AddN to extractors with custom extractor class <class 'extensions.front.tf.addn_ext.AddNExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ArgMax to extractors with custom extractor class <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Concat to extractors with custom extractor class <class 'extensions.front.tf.concat_ext.ConcatFrontExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv2DFrontExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthwiseConv2dNative to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.DepthwiseConv2dNativeFrontExtractor'>.
[ 2019-03-17 22:09:52,883 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv3DFrontExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry CropAndResize to extractors with custom extractor class <class 'extensions.front.tf.crop_and_resize_ext.CropAndResizeFrontExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2DBackpropInput to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv2DBackpropInputFrontExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthToSpace to extractors with custom extractor class <class 'extensions.front.tf.depth_to_space.DepthToSpaceFrontExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ExtractImagePatches to extractors with custom extractor class <class 'extensions.front.tf.extract_image_patches.ExtractImagePatchesExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry FIFOQueueV2 to extractors with custom extractor class <class 'extensions.front.tf.fifo_queue_v2_ext.FIFOQueueV2Extractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Gather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherFrontExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResourceGather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.ResourceGatherFrontExtractor'>.
[ 2019-03-17 22:09:52,884 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GatherV2 to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherV2FrontExtractor'>.
[ 2019-03-17 22:09:52,885 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Max to extractors with custom extractor class <class 'extensions.front.tf.max_ext.MaxFrontExtractor'>.
[ 2019-03-17 22:09:52,885 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NextIteration to extractors with custom extractor class <class 'extensions.front.tf.next_iteration_ext.NextIterationExtractor'>.
[ 2019-03-17 22:09:52,885 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadFrontExtractor'>.
[ 2019-03-17 22:09:52,885 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry PadV2 to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadV2FrontExtractor'>.
[ 2019-03-17 22:09:52,885 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MirrorPad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.MirrorPadFrontExtractor'>.
[ 2019-03-17 22:09:52,885 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'>.
[ 2019-03-17 22:09:52,885 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPoolFrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPool3DFrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPool3DFrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Rank to extractors with custom extractor class <class 'extensions.front.tf.rank_ext.RankFrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeBilinear to extractors with custom extractor class <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeNearestNeighbor to extractors with custom extractor class <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseSequence to extractors with custom extractor class <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseV2 to extractors with custom extractor class <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'>.
[ 2019-03-17 22:09:52,886 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Slice to extractors with custom extractor class <class 'extensions.front.tf.slice_ext.SliceExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Softmax to extractors with custom extractor class <class 'extensions.front.tf.softmax_ext.SoftmaxFrontExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SplitV to extractors with custom extractor class <class 'extensions.front.tf.split_ext.SplitVExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sqrt to extractors with custom extractor class <class 'extensions.front.tf.sqrt_ext.SqrtExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:70 ]  Overridden extractor entry Square by custom extractor class <class 'extensions.front.tf.square_ext.SquareExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StopGradient to extractors with custom extractor class <class 'extensions.front.tf.stop_gradient_ext.StopGradientExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tile to extractors with custom extractor class <class 'extensions.front.tf.tile_ext.TileExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Variable to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableExtractor'>.
[ 2019-03-17 22:09:52,887 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry VariableV2 to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableV2Extractor'>.
[ 2019-03-17 22:09:52,888 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMCell to extractors with custom op class <class 'extensions.ops.lstm_cell.LSTMCell'>.
[ 2019-03-17 22:09:52,888 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry OpOutput to extractors with custom op class <class 'mo.ops.output.Output'>.
[ 2019-03-17 22:09:52,888 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorInput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>.
[ 2019-03-17 22:09:52,888 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorOutput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>.
[ 2019-03-17 22:09:52,888 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorCondition to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>.
[ 2019-03-17 22:09:52,888 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorBackEdge to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>.
[ 2019-03-17 22:09:52,888 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIterator to extractors with custom op class <class 'extensions.ops.tensor_iterator.TensorIterator'>.
[ 2019-03-17 22:09:52,889 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Activation to extractors with custom op class <class 'mo.ops.activation.Activation'>.
[ 2019-03-17 22:09:52,889 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Clamp to extractors with custom op class <class 'mo.ops.clamp.Clamp'>.
[ 2019-03-17 22:09:52,889 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Convolution to extractors with custom op class <class 'mo.ops.convolution.Convolution'>.
[ 2019-03-17 22:09:52,889 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Crop to extractors with custom op class <class 'mo.ops.crop.Crop'>.
[ 2019-03-17 22:09:52,889 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Deconvolution to extractors with custom op class <class 'mo.ops.deconvolution.Deconvolution'>.
[ 2019-03-17 22:09:52,889 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Eltwise to extractors with custom op class <class 'mo.ops.eltwise.Eltwise'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry EltwiseN to extractors with custom op class <class 'mo.ops.eltwise_n.EltwiseN'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Flatten to extractors with custom op class <class 'mo.ops.flatten.Flatten'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FlattenONNX to extractors with custom op class <class 'mo.ops.flatten_onnx.FlattenONNX'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FullyConnected to extractors with custom op class <class 'mo.ops.inner_product.InnerProduct'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Input to extractors with custom op class <class 'mo.ops.input.Input'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Memory to extractors with custom op class <class 'mo.ops.memory.Memory'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Pooling to extractors with custom op class <class 'mo.ops.pooling.Pooling'>.
[ 2019-03-17 22:09:52,890 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ScaleShift to extractors with custom op class <class 'mo.ops.scale_shift.ScaleShiftOp'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DetectionOutput to extractors with custom op class <class 'extensions.ops.DetectionOutput.DetectionOutput'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Enter to extractors with custom op class <class 'extensions.ops.Enter.Enter'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Exit to extractors with custom op class <class 'extensions.ops.Exit.Exit'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SquaredDifference to extractors with custom op class <class 'extensions.ops.SquaredDifference.SquaredDifference'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayReadV3 to extractors with custom op class <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayScatterV3 to extractors with custom op class <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArraySizeV3 to extractors with custom op class <class 'extensions.ops.TensorArraySize.TensorArraySize'>.
[ 2019-03-17 22:09:52,891 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayWriteV3 to extractors with custom op class <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>.
[ 2019-03-17 22:09:52,892 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Accum to extractors with custom op class <class 'extensions.ops.accum.AccumOp'>.
[ 2019-03-17 22:09:52,892 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Assert to extractors with custom op class <class 'extensions.ops.assert_op.Assert'>.
[ 2019-03-17 22:09:52,892 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Axpy to extractors with custom op class <class 'extensions.ops.axpy.AxpyOp'>.
[ 2019-03-17 22:09:52,892 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry BN to extractors with custom op class <class 'extensions.ops.bn.BNOp'>.
[ 2019-03-17 22:09:52,892 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ConstantFill to extractors with custom op class <class 'extensions.ops.constant_fill.ConstantFill'>.
[ 2019-03-17 22:09:52,892 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Correlation to extractors with custom op class <class 'extensions.ops.correlation.CorrelationOp'>.
[ 2019-03-17 22:09:52,892 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DataAugmentation to extractors with custom op class <class 'extensions.ops.data_augmentation.DataAugmentationOp'>.
[ 2019-03-17 22:09:52,893 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRN to extractors with custom op class <class 'extensions.ops.grn.GRNOp'>.
[ 2019-03-17 22:09:52,893 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry InstanceNormalization to extractors with custom op class <class 'extensions.ops.instance_normalization.InstanceNormalization'>.
[ 2019-03-17 22:09:52,893 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Interp to extractors with custom op class <class 'extensions.ops.interp.InterpOp'>.
[ 2019-03-17 22:09:52,893 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMSequence to extractors with custom op class <class 'extensions.ops.lstm_sequence.LSTMSequence'>.
[ 2019-03-17 22:09:52,893 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Merge to extractors with custom op class <class 'extensions.ops.merge.Merge'>.
[ 2019-03-17 22:09:52,893 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MVN to extractors with custom op class <class 'extensions.ops.mvn.MVN'>.
[ 2019-03-17 22:09:52,893 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Normalize to extractors with custom op class <class 'extensions.ops.normalize.NormalizeOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PowerFile to extractors with custom op class <class 'extensions.ops.power_file.PowerFileOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PredictionHeatmap to extractors with custom op class <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PReLU to extractors with custom op class <class 'extensions.ops.prelu.PreluOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBox to extractors with custom op class <class 'extensions.ops.priorbox.PriorBoxOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBoxClustered to extractors with custom op class <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Proposal to extractors with custom op class <class 'extensions.ops.proposal.ProposalOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PSROIPooling to extractors with custom op class <class 'extensions.ops.psroipooling.PSROIPoolingOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RegionYolo to extractors with custom op class <class 'extensions.ops.regionyolo.RegionYoloOp'>.
[ 2019-03-17 22:09:52,894 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ReorgYolo to extractors with custom op class <class 'extensions.ops.reorgyolo.ReorgYoloOp'>.
[ 2019-03-17 22:09:52,895 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Resample to extractors with custom op class <class 'extensions.ops.resample.ResampleOp'>.
[ 2019-03-17 22:09:52,895 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Select to extractors with custom op class <class 'extensions.ops.select.Select'>.
[ 2019-03-17 22:09:52,895 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ShuffleChannel to extractors with custom op class <class 'extensions.ops.shufflechannel.ShuffleChannelOp'>.
[ 2019-03-17 22:09:52,895 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SimplerNMS to extractors with custom op class <class 'extensions.ops.simplernms.SimplerNMSOp'>.
[ 2019-03-17 22:09:52,895 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SpatialTransformer to extractors with custom op class <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>.
[ 2019-03-17 22:09:52,895 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Splice to extractors with custom op class <class 'extensions.ops.splice.Splice'>.
[ 2019-03-17 22:09:52,895 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Switch to extractors with custom op class <class 'extensions.ops.switch.Switch'>.
[ 2019-03-17 22:09:52,987 ] [ DEBUG ] [ extractor:830 ]  Sink: output/sink_port_0 for node output
[ 2019-03-17 22:09:52,987 ] [ DEBUG ] [ extractor:831 ]  {'precision': 'FP32', 'kind': 'op', 'type': 'OpOutput', 'op': 'OpOutput', 'is_output': True, 'infer': None, 'value': None, 'data_type': None, 'name': 'output/sink_port_0', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088eca488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]}
[ 2019-03-17 22:09:52,987 ] [ DEBUG ] [ extractor:832 ]  Add edge from output to output/sink_port_0
[ 2019-03-17 22:09:53,008 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/sink_port_0
[ 2019-03-17 22:09:53,185 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:09:53,188 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/sink_port_0
[ 2019-03-17 22:09:53,261 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:09:53,660 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3 28 64] and value.shape = (3, 28, 64)
[ 2019-03-17 22:09:53,661 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-03-17 22:09:53,663 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,664 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,665 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,665 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,669 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-03-17 22:09:53,670 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-03-17 22:09:53,671 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-03-17 22:09:53,672 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2019-03-17 22:09:53,674 ] [ DEBUG ] [ utils:78 ]  value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,)
[ 2019-03-17 22:09:53,674 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,679 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3  64 128] and value.shape = (3, 64, 128)
[ 2019-03-17 22:09:53,681 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-03-17 22:09:53,682 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,682 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,684 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,684 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,687 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-03-17 22:09:53,688 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-03-17 22:09:53,690 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-03-17 22:09:53,691 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2019-03-17 22:09:53,696 ] [ DEBUG ] [ utils:78 ]  value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,)
[ 2019-03-17 22:09:53,696 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,706 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3 128 256] and value.shape = (3, 128, 256)
[ 2019-03-17 22:09:53,708 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,709 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,710 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,711 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,711 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,714 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,716 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,718 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,719 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,720 ] [ DEBUG ] [ utils:78 ]  value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,)
[ 2019-03-17 22:09:53,721 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,727 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3 256 512] and value.shape = (3, 256, 512)
[ 2019-03-17 22:09:53,728 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,729 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,730 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,731 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,731 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,734 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,736 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,737 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,738 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,740 ] [ DEBUG ] [ utils:78 ]  value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,)
[ 2019-03-17 22:09:53,740 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,746 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3 182 256] and value.shape = (3, 182, 256)
[ 2019-03-17 22:09:53,747 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,749 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,749 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,751 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,751 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,754 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,755 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,756 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,758 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2019-03-17 22:09:53,760 ] [ DEBUG ] [ utils:78 ]  value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,)
[ 2019-03-17 22:09:53,760 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,765 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3 256 512] and value.shape = (3, 256, 512)
[ 2019-03-17 22:09:53,767 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,769 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,769 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,770 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,770 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,774 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,775 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,777 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,778 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,779 ] [ DEBUG ] [ utils:78 ]  value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,)
[ 2019-03-17 22:09:53,779 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,787 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3 512 512] and value.shape = (3, 512, 512)
[ 2019-03-17 22:09:53,788 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,789 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,791 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,792 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,792 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,796 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,798 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,800 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,801 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [512] and value.shape = (512,)
[ 2019-03-17 22:09:53,802 ] [ DEBUG ] [ utils:78 ]  value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,)
[ 2019-03-17 22:09:53,803 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,808 ] [ DEBUG ] [ utils:78 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2019-03-17 22:09:53,808 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,809 ] [ DEBUG ] [ utils:78 ]  value = [2], shape = [], res = [2], res.shape = (1,)
[ 2019-03-17 22:09:53,809 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,811 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,811 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,815 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-03-17 22:09:53,816 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,816 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,818 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,819 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,820 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,820 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,822 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2019-03-17 22:09:53,822 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,823 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,824 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,825 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,826 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,827 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2019-03-17 22:09:53,827 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,829 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,830 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,831 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,831 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,833 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2019-03-17 22:09:53,833 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,835 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,836 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,837 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,837 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,839 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2019-03-17 22:09:53,839 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,840 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,842 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,843 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,843 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,844 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2019-03-17 22:09:53,844 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,846 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,848 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,849 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,849 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,851 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2019-03-17 22:09:53,851 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,852 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,854 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,855 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,856 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,858 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,858 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,861 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,863 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,864 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,865 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,867 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,867 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,868 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,868 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,870 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,870 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,872 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,872 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,897 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,897 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,906 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1024 2048] and value.shape = (1024, 2048)
[ 2019-03-17 22:09:53,908 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2048] and value.shape = (2048,)
[ 2019-03-17 22:09:53,910 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,911 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,914 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,914 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,916 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2019-03-17 22:09:53,916 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,922 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,922 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,925 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,925 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,927 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2019-03-17 22:09:53,927 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,933 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,934 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,936 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,936 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,938 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2019-03-17 22:09:53,938 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,946 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,947 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,953 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,953 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,955 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,955 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,957 ] [ DEBUG ] [ utils:78 ]  value = [3], shape = [], res = [3], res.shape = (1,)
[ 2019-03-17 22:09:53,957 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,958 ] [ DEBUG ] [ utils:78 ]  value = [2], shape = [], res = [2], res.shape = (1,)
[ 2019-03-17 22:09:53,958 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,959 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2019-03-17 22:09:53,960 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,962 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [2] and value.shape = (2,)
[ 2019-03-17 22:09:53,962 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2019-03-17 22:09:53,963 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,964 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,966 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,967 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2019-03-17 22:09:53,968 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2019-03-17 22:09:53,969 ] [ DEBUG ] [ utils:78 ]  value = [-1], shape = [], res = [-1], res.shape = (1,)
[ 2019-03-17 22:09:53,970 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2019-03-17 22:09:53,972 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [15360     7] and value.shape = (15360, 7)
[ 2019-03-17 22:09:53,973 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [7] and value.shape = (7,)
[ WARNING ]  Instructions/layers that do not have attribute extractors:
[ WARNING ]      Fill (6)
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1
[ WARNING ]      Less (2)
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/while/Less
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/while/Less_1
[ WARNING ]      LogicalAnd (1)
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/while/LogicalAnd
[ WARNING ]      LoopCond (1)
[ WARNING ]          spatial_temporal_network/rnn_net/rnn/while/LoopCond
[ 2019-03-17 22:09:53,979 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.mvn.MVN'> will be run before <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2019-03-17 22:09:53,979 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2019-03-17 22:09:53,979 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'mo.ops.div.Div'>
[ 2019-03-17 22:09:53,979 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-03-17 22:09:53,980 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> will be run before <class 'extensions.front.Pack.Pack'>
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[ 2019-03-17 22:09:53,980 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.Pack.Pack'>
[ 2019-03-17 22:09:53,980 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-03-17 22:09:53,980 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2019-03-17 22:09:53,980 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.tf.Unpack.Unpack'>
[ 2019-03-17 22:09:53,981 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-03-17 22:09:53,981 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ 2019-03-17 22:09:53,981 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run after <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2019-03-17 22:09:53,981 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2019-03-17 22:09:53,981 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run before <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2019-03-17 22:09:53,981 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2019-03-17 22:09:53,981 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'mo.ops.div.Div'>
[ 2019-03-17 22:09:53,982 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-03-17 22:09:53,982 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2019-03-17 22:09:53,982 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-03-17 22:09:53,982 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2019-03-17 22:09:53,982 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2019-03-17 22:09:53,982 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2019-03-17 22:09:53,983 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-03-17 22:09:53,983 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'>
[ WARNING ]  Configuration file for custom replacement with id 'TFYOLOV3' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFYOLOV3'
[ 2019-03-17 22:09:53,983 ] [ DEBUG ] [ class_registration:111 ]  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'
[ 2019-03-17 22:09:53,984 ] [ DEBUG ] [ class_registration:111 ]  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'
[ 2019-03-17 22:09:53,984 ] [ DEBUG ] [ class_registration:111 ]  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'
[ 2019-03-17 22:09:53,985 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIProposalReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIProposalReplacement'
[ 2019-03-17 22:09:53,985 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2019-03-17 22:09:54,030 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist
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[ 2019-03-17 22:09:54,031 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.Unpack.Unpack'>
[ 2019-03-17 22:09:54,079 ] [ DEBUG ] [ class_registration:111 ]  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'
[ 2019-03-17 22:09:54,080 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
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[ 2019-03-17 22:09:54,080 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
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[ 2019-03-17 22:09:54,081 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2019-03-17 22:09:54,164 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
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[ 2019-03-17 22:09:54,164 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.ConvFlatten.ConvFlattenReplacement'>
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[ 2019-03-17 22:09:54,165 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.fake_const.FakeConstToConst'>
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[ 2019-03-17 22:09:54,397 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.ArgMaxReshape.ArgMaxReshape'>
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[ 2019-03-17 22:09:54,532 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.image_scaler.ImageScaler'>
[ 2019-03-17 22:09:54,575 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ 2019-03-17 22:09:54,620 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ 2019-03-17 22:09:54,664 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.prelu.PReLUWithAbs'>
[ 2019-03-17 22:09:54,714 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.prelu.PReLU'>
[ 2019-03-17 22:09:54,773 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ 2019-03-17 22:09:54,829 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.Pack.Pack'>
[ 2019-03-17 22:09:54,879 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/flatten/Reshape/shape/Concat_ to spatial_temporal_network/flatten/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/flatten/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:54,879 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/flatten/Reshape/shape']
[ 2019-03-17 22:09:54,883 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
[ 2019-03-17 22:09:54,883 ] [ DEBUG ] [ mvn_unrolled:36 ]  Enabled MVN replacement
[ 2019-03-17 22:09:54,928 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.front.sub.Sub'>
[ 2019-03-17 22:09:54,991 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/motion/conblock_4/bn/batchnorm/sub/add_ to spatial_temporal_network/motion/conblock_4/bn/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/motion/conblock_4/bn/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:54,993 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/motion/conblock_4/bn/batchnorm/sub']
[ 2019-03-17 22:09:54,993 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/motion/conblock_3/bn/batchnorm/sub/add_ to spatial_temporal_network/motion/conblock_3/bn/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/motion/conblock_3/bn/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:54,994 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/motion/conblock_3/bn/batchnorm/sub']
[ 2019-03-17 22:09:54,995 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub/add_ to spatial_temporal_network/geo/conblock_3/bn/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:54,995 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub']
[ 2019-03-17 22:09:54,996 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub/add_ to spatial_temporal_network/motion/conblock_2/bn/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:54,996 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub']
[ 2019-03-17 22:09:54,997 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub/add_ to spatial_temporal_network/motion/conblock_1/bn/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:54,998 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub']
[ 2019-03-17 22:09:54,999 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub/add_ to spatial_temporal_network/geo/conblock_1/bn/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:54,999 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub']
[ 2019-03-17 22:09:55,000 ] [ DEBUG ] [ replacement:89 ]  Created edge from spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub/add_ to spatial_temporal_network/geo/conblock_2/bn/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2019-03-17 22:09:55,001 ] [ DEBUG ] [ replacement:197 ]  Removing nodes: ['spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub']
[ 2019-03-17 22:09:55,005 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'mo.ops.div.Div'>
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[ 2019-03-17 22:09:55,063 ] [ DEBUG ] [ mvn:35 ]  Enabled MVN replacement
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[ 2019-03-17 22:09:55,667 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/sink_port_0
[ 2019-03-17 22:09:55,824 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd_1
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd_2
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd_2/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul_1
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul_2
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul_2/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_1
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_2
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_3
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_3/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_4
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_4/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_5
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_6
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_6/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_7
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_7/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Sigmoid_8
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Tanh
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Tanh/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Tanh_2
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Tanh_2/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Tanh_4
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/Tanh_4/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_2
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_2/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_4
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_4/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/mul
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/mul_1
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/mul_3
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/mul_4
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/mul_6
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/mul_7
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split/Output_1/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split/Output_2/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split/Output_3/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1/Output_1/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1/Output_2/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1/Output_3/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2/Output_1/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2/Output_2/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2/Output_3/Data_
[ 2019-03-17 22:09:55,880 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,881 ] [ DEBUG ] [ infer:151 ]  Partial infer for 412
[ 2019-03-17 22:09:55,881 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,881 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,881 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,882 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [0]
[ 2019-03-17 22:09:55,882 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,883 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/dense/bias
[ 2019-03-17 22:09:55,883 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,883 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,883 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,884 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [7], value = [ 0.14485614  0.17269324 -0.0195503  -0.10251361 -0.04668584 -0.12757407
 -0.0212258 ]
[ 2019-03-17 22:09:55,885 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,885 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/dense/bias/read
[ 2019-03-17 22:09:55,885 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:55,886 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,886 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [7], value = [ 0.14485614  0.17269324 -0.0195503  -0.10251361 -0.04668584 -0.12757407
 -0.0212258 ]
[ 2019-03-17 22:09:55,887 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,887 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [7], value = [ 0.14485614  0.17269324 -0.0195503  -0.10251361 -0.04668584 -0.12757407
 -0.0212258 ]
[ 2019-03-17 22:09:55,888 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,888 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/dense/kernel
[ 2019-03-17 22:09:55,888 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,888 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,888 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,890 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [15360     7], value = [[ 0.00754917 -0.00470051 -0.01742837 ...  0.00815568 -0.01912938
  -0.00964213]
 [-0.000457   -0...
[ 2019-03-17 22:09:55,890 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,891 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/dense/kernel/read
[ 2019-03-17 22:09:55,891 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:55,891 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,893 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [15360     7], value = [[ 0.00754917 -0.00470051 -0.01742837 ...  0.00815568 -0.01912938
  -0.00964213]
 [-0.000457   -0...
[ 2019-03-17 22:09:55,893 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,895 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [15360     7], value = [[ 0.00754917 -0.00470051 -0.01742837 ...  0.00815568 -0.01912938
  -0.00964213]
 [-0.000457   -0...
[ 2019-03-17 22:09:55,895 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,895 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/Reshape/shape/1
[ 2019-03-17 22:09:55,895 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,896 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,896 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,896 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = -1
[ 2019-03-17 22:09:55,896 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,897 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/Reshape/shape/ExpandDims_414
[ 2019-03-17 22:09:55,897 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:55,897 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,898 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = -1
[ 2019-03-17 22:09:55,898 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,898 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [-1]
[ 2019-03-17 22:09:55,899 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,899 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/strided_slice/stack_2
[ 2019-03-17 22:09:55,899 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,899 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,900 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,900 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,900 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,900 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/strided_slice/stack_1
[ 2019-03-17 22:09:55,901 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,901 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,901 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,902 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,903 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,903 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/strided_slice/stack
[ 2019-03-17 22:09:55,903 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,903 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,903 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,904 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [0]
[ 2019-03-17 22:09:55,904 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,904 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/Shape
[ 2019-03-17 22:09:55,904 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,905 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,905 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,905 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [3], value = [  1  30 512]
[ 2019-03-17 22:09:55,906 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,906 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/strided_slice
[ 2019-03-17 22:09:55,906 ] [ DEBUG ] [ infer:152 ]  Op: StridedSlice
[ 2019-03-17 22:09:55,907 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,908 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [3], value = [  1  30 512]
[ 2019-03-17 22:09:55,908 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [0]
[ 2019-03-17 22:09:55,909 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,909 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,909 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,910 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:55,910 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,910 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/Reshape/shape/ExpandDims_
[ 2019-03-17 22:09:55,910 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:55,911 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,912 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 1
[ 2019-03-17 22:09:55,912 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,913 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,913 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,914 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/Reshape/shape/Concat_
[ 2019-03-17 22:09:55,914 ] [ DEBUG ] [ infer:152 ]  Op: Concat
[ 2019-03-17 22:09:55,916 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,916 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,917 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [-1]
[ 2019-03-17 22:09:55,917 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,917 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [ 1 -1]
[ 2019-03-17 22:09:55,918 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,918 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/concat_2/axis
[ 2019-03-17 22:09:55,918 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,919 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,919 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,919 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,919 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,920 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/concat_2/values_0
[ 2019-03-17 22:09:55,920 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,920 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,920 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,921 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [1 0]
[ 2019-03-17 22:09:55,921 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,921 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/range_1/delta
[ 2019-03-17 22:09:55,921 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,922 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,922 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,922 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:55,923 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,923 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/range_1/start
[ 2019-03-17 22:09:55,923 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,924 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,924 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,924 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 2
[ 2019-03-17 22:09:55,925 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,925 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/Rank_1
[ 2019-03-17 22:09:55,925 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,925 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,926 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,926 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 3
[ 2019-03-17 22:09:55,926 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,926 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/range_1
[ 2019-03-17 22:09:55,927 ] [ DEBUG ] [ infer:152 ]  Op: Range
[ 2019-03-17 22:09:55,927 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,927 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 3
[ 2019-03-17 22:09:55,928 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 2
[ 2019-03-17 22:09:55,928 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [], value = 1
[ 2019-03-17 22:09:55,928 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,929 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [2]
[ 2019-03-17 22:09:55,929 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,929 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/concat_2
[ 2019-03-17 22:09:55,929 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:55,930 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,931 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [2]
[ 2019-03-17 22:09:55,931 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [1 0]
[ 2019-03-17 22:09:55,931 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,932 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [3], value = [1 0 2]
[ 2019-03-17 22:09:55,932 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,932 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayStack/range/delta
[ 2019-03-17 22:09:55,932 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,933 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,933 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,933 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:55,934 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,934 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayStack/range/start
[ 2019-03-17 22:09:55,934 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,934 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,934 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,935 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,935 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,935 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/bias
[ 2019-03-17 22:09:55,935 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,936 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,936 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,937 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:55,937 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,937 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/bias/read
[ 2019-03-17 22:09:55,937 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:55,938 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,939 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:55,939 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,940 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:55,940 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,940 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd/Enter
[ 2019-03-17 22:09:55,941 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:55,941 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,941 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:55,942 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,942 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:55,943 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,943 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/kernel
[ 2019-03-17 22:09:55,943 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,943 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,944 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,946 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:55,946 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,946 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/kernel/read
[ 2019-03-17 22:09:55,946 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:55,947 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,948 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:55,948 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,950 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:55,951 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,951 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul/Enter
[ 2019-03-17 22:09:55,951 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:55,954 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,956 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:55,956 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,957 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:55,958 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,958 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/iteration_counter
[ 2019-03-17 22:09:55,958 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,958 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,959 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,959 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,959 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,959 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter
[ 2019-03-17 22:09:55,960 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:55,960 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,960 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,960 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,960 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,961 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,961 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge
[ 2019-03-17 22:09:55,961 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:55,962 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,962 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,962 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:55,962 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,962 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:55,962 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,963 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/Maximum/x
[ 2019-03-17 22:09:55,963 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,963 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,963 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,963 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:55,964 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,964 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/range/delta
[ 2019-03-17 22:09:55,964 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,964 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,964 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,964 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:55,965 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,965 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/range/start
[ 2019-03-17 22:09:55,965 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,965 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,965 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,965 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,966 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,966 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/strided_slice/stack_2
[ 2019-03-17 22:09:55,966 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,966 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,967 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,967 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,967 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,968 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/strided_slice/stack_1
[ 2019-03-17 22:09:55,968 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,968 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,968 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,969 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,969 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,969 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/strided_slice/stack
[ 2019-03-17 22:09:55,969 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,970 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,970 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,970 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [0]
[ 2019-03-17 22:09:55,971 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,971 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/Shape
[ 2019-03-17 22:09:55,971 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,971 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,971 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,972 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [3], value = [ 30   1 512]
[ 2019-03-17 22:09:55,972 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,972 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/strided_slice
[ 2019-03-17 22:09:55,972 ] [ DEBUG ] [ infer:152 ]  Op: StridedSlice
[ 2019-03-17 22:09:55,973 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,974 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [3], value = [ 30   1 512]
[ 2019-03-17 22:09:55,974 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [0]
[ 2019-03-17 22:09:55,975 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,975 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,975 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,976 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 30
[ 2019-03-17 22:09:55,976 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,977 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/range
[ 2019-03-17 22:09:55,977 ] [ DEBUG ] [ infer:152 ]  Op: Range
[ 2019-03-17 22:09:55,978 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,978 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 30
[ 2019-03-17 22:09:55,979 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,979 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [], value = 1
[ 2019-03-17 22:09:55,979 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,980 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [30], value = [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
 24 25 26 27 28 29]
[ 2019-03-17 22:09:55,980 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,980 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/time
[ 2019-03-17 22:09:55,980 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,981 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,981 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,981 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,981 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,981 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_1
[ 2019-03-17 22:09:55,982 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:55,982 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,982 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,982 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,983 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,983 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,983 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_1
[ 2019-03-17 22:09:55,984 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:55,984 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,984 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 0
[ 2019-03-17 22:09:55,985 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:55,985 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,985 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:55,986 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,986 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/strided_slice/stack_2
[ 2019-03-17 22:09:55,986 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,986 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,986 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,987 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,987 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,988 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/strided_slice/stack_1
[ 2019-03-17 22:09:55,988 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,988 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,988 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,989 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,989 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,989 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/strided_slice/stack
[ 2019-03-17 22:09:55,989 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,990 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,990 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,990 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [0]
[ 2019-03-17 22:09:55,991 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,991 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/Shape
[ 2019-03-17 22:09:55,991 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:55,992 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,992 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,992 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [3], value = [ 30   1 512]
[ 2019-03-17 22:09:55,993 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,993 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/strided_slice
[ 2019-03-17 22:09:55,993 ] [ DEBUG ] [ infer:152 ]  Op: StridedSlice
[ 2019-03-17 22:09:55,994 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,994 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [3], value = [ 30   1 512]
[ 2019-03-17 22:09:55,995 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [0]
[ 2019-03-17 22:09:55,995 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,996 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [1], value = [1]
[ 2019-03-17 22:09:55,996 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,996 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 30
[ 2019-03-17 22:09:55,996 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,997 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Less/Enter
[ 2019-03-17 22:09:55,997 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:55,997 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:55,998 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 30
[ 2019-03-17 22:09:55,998 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:55,998 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 30
[ 2019-03-17 22:09:55,998 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:55,999 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Less
[ 2019-03-17 22:09:55,999 ] [ DEBUG ] [ infer:152 ]  Op: Less
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/while/Less"
[ 2019-03-17 22:09:56,004 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/while/Merge_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,005 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/while/Less/Enter_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,006 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/while/Merge' with input 'spatial_temporal_network/rnn_net/rnn/while/Merge_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,006 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/Less' with placeholder 'spatial_temporal_network/rnn_net/rnn/while/Merge_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,006 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/while/Less/Enter' with input 'spatial_temporal_network/rnn_net/rnn/while/Less/Enter_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,006 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/while/Less' with placeholder 'spatial_temporal_network/rnn_net/rnn/while/Less/Enter_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,032 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/Less': '[]'
[ 2019-03-17 22:09:56,032 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,032 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,033 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 30
[ 2019-03-17 22:09:56,033 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,033 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,033 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,034 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/Maximum
[ 2019-03-17 22:09:56,034 ] [ DEBUG ] [ infer:152 ]  Op: Maximum
[ 2019-03-17 22:09:56,034 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,035 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 30
[ 2019-03-17 22:09:56,035 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,035 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,035 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 30
[ 2019-03-17 22:09:56,036 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,036 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/Minimum
[ 2019-03-17 22:09:56,036 ] [ DEBUG ] [ infer:152 ]  Op: Minimum
[ 2019-03-17 22:09:56,036 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,037 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 30
[ 2019-03-17 22:09:56,038 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 30
[ 2019-03-17 22:09:56,038 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,038 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 30
[ 2019-03-17 22:09:56,039 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,039 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Less_1/Enter
[ 2019-03-17 22:09:56,039 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,040 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,040 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 30
[ 2019-03-17 22:09:56,041 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,041 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 30
[ 2019-03-17 22:09:56,041 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,042 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Less_1
[ 2019-03-17 22:09:56,042 ] [ DEBUG ] [ infer:152 ]  Op: Less
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/while/Less_1"
[ 2019-03-17 22:09:56,048 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/while/Merge_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,050 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/while/Less_1/Enter_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,050 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/while/Merge_1' with input 'spatial_temporal_network/rnn_net/rnn/while/Merge_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,050 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/Less_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/while/Merge_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,051 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/while/Less_1/Enter' with input 'spatial_temporal_network/rnn_net/rnn/while/Less_1/Enter_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,051 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/while/Less_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/while/Less_1/Enter_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,065 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/Less_1': '[]'
[ 2019-03-17 22:09:56,065 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,066 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,066 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 30
[ 2019-03-17 22:09:56,066 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,067 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,067 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,067 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/LogicalAnd
[ 2019-03-17 22:09:56,068 ] [ DEBUG ] [ infer:152 ]  Op: LogicalAnd
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/while/LogicalAnd"
[ 2019-03-17 22:09:56,075 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/while/Less_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,077 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/while/Less_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,077 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/while/Less' with input 'spatial_temporal_network/rnn_net/rnn/while/Less_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,078 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/LogicalAnd' with placeholder 'spatial_temporal_network/rnn_net/rnn/while/Less_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,078 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/while/Less_1' with input 'spatial_temporal_network/rnn_net/rnn/while/Less_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,078 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/while/LogicalAnd' with placeholder 'spatial_temporal_network/rnn_net/rnn/while/Less_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,087 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/LogicalAnd': '[]'
[ 2019-03-17 22:09:56,088 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,088 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,088 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,088 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,089 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,089 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,089 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/LoopCond
[ 2019-03-17 22:09:56,089 ] [ DEBUG ] [ infer:152 ]  Op: LoopCond
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/while/LoopCond"
[ 2019-03-17 22:09:56,096 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/while/LogicalAnd_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,097 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/while/LogicalAnd' with input 'spatial_temporal_network/rnn_net/rnn/while/LogicalAnd_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,097 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/LoopCond' with placeholder 'spatial_temporal_network/rnn_net/rnn/while/LogicalAnd_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,105 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/while/LoopCond': '[]'
[ 2019-03-17 22:09:56,107 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,107 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,107 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,107 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,108 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,108 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_1
[ 2019-03-17 22:09:56,108 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,109 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,109 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,109 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,109 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,110 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,110 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,110 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_1
[ 2019-03-17 22:09:56,111 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,111 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,111 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,112 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,112 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,112 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,112 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch
[ 2019-03-17 22:09:56,113 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,113 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,113 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,114 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,114 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,114 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,115 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,115 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity
[ 2019-03-17 22:09:56,115 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,115 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,116 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,116 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,116 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,116 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,117 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/add_1/y
[ 2019-03-17 22:09:56,117 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,117 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,117 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,118 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,118 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,118 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/add_1
[ 2019-03-17 22:09:56,118 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:56,119 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,119 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,119 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 1
[ 2019-03-17 22:09:56,119 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,119 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,120 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,120 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_1
[ 2019-03-17 22:09:56,120 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:56,120 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,121 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,121 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,121 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,121 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,122 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_4/y
[ 2019-03-17 22:09:56,122 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,122 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,122 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,123 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1.0
[ 2019-03-17 22:09:56,123 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,123 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2/split_dim
[ 2019-03-17 22:09:56,123 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,124 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,124 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,124 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,125 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,125 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/axis
[ 2019-03-17 22:09:56,125 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,125 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,125 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,125 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,127 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,128 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_2/y
[ 2019-03-17 22:09:56,128 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,128 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,128 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,128 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1.0
[ 2019-03-17 22:09:56,129 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,129 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1/split_dim
[ 2019-03-17 22:09:56,129 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,130 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,130 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,130 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,130 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,131 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/axis
[ 2019-03-17 22:09:56,131 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,131 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,131 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,132 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,132 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,132 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add/y
[ 2019-03-17 22:09:56,132 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,132 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,133 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,134 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1.0
[ 2019-03-17 22:09:56,135 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,135 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split/split_dim
[ 2019-03-17 22:09:56,135 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,135 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,136 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,136 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,136 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,136 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/axis
[ 2019-03-17 22:09:56,136 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,137 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,137 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,137 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,138 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,138 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/add/y
[ 2019-03-17 22:09:56,138 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,138 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,138 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,139 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,139 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,139 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/add
[ 2019-03-17 22:09:56,139 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:56,140 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,140 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,140 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 1
[ 2019-03-17 22:09:56,140 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,141 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,141 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,141 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration
[ 2019-03-17 22:09:56,142 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:56,142 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,142 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,142 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,143 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,143 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,143 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArray_1
[ 2019-03-17 22:09:56,144 ] [ DEBUG ] [ infer:152 ]  Op: TensorArrayV3
[ 2019-03-17 22:09:56,144 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,145 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 30
[ 2019-03-17 22:09:56,145 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,145 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray_1/Output_0/Data_
[ 2019-03-17 22:09:56,146 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,146 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,147 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/Enter
[ 2019-03-17 22:09:56,147 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,147 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,148 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray_1/Output_0/Data_
[ 2019-03-17 22:09:56,148 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,148 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray_1/Output_0/Data_
[ 2019-03-17 22:09:56,149 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,149 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArray
[ 2019-03-17 22:09:56,149 ] [ DEBUG ] [ infer:152 ]  Op: TensorArrayV3
[ 2019-03-17 22:09:56,150 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,150 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 30
[ 2019-03-17 22:09:56,151 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,151 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,151 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray/Output_0/Data_
[ 2019-03-17 22:09:56,152 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,152 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/TensorArrayWrite/TensorArrayWriteV3/Enter
[ 2019-03-17 22:09:56,152 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,152 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,153 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray/Output_0/Data_
[ 2019-03-17 22:09:56,153 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,153 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray/Output_0/Data_
[ 2019-03-17 22:09:56,153 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,154 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_2
[ 2019-03-17 22:09:56,154 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,154 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,154 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,154 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,155 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,155 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,155 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_2
[ 2019-03-17 22:09:56,155 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:56,156 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,156 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,156 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:56,156 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,157 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,158 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,158 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_2
[ 2019-03-17 22:09:56,158 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,159 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,159 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,159 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,159 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,159 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,160 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,161 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,161 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_2
[ 2019-03-17 22:09:56,161 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,161 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,162 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,162 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,162 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,163 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,163 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Const
[ 2019-03-17 22:09:56,163 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,163 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,163 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,164 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,164 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,164 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1/axis
[ 2019-03-17 22:09:56,164 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,165 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,165 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,165 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:56,166 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,166 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_5
[ 2019-03-17 22:09:56,166 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,166 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,167 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,167 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,168 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,168 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_4
[ 2019-03-17 22:09:56,168 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,168 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,168 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,169 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,169 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,169 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1
[ 2019-03-17 22:09:56,169 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:56,170 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,171 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,171 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,171 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,172 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,172 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,172 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1
[ 2019-03-17 22:09:56,173 ] [ DEBUG ] [ infer:152 ]  Op: Fill
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1"
[ 2019-03-17 22:09:56,177 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,178 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,178 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,178 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,179 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Const' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,179 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,192 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1': '[  1 512]'
[ 2019-03-17 22:09:56,192 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,193 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,193 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,193 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,207 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,208 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,208 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_8
[ 2019-03-17 22:09:56,208 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,209 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,220 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,220 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,233 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,233 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,234 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_8
[ 2019-03-17 22:09:56,234 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:56,234 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,247 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,247 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:56,247 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,247 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,248 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,248 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_8
[ 2019-03-17 22:09:56,248 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,248 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,249 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,249 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,249 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,249 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,250 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,250 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_8
[ 2019-03-17 22:09:56,250 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,251 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,251 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,251 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,251 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,252 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,252 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Const
[ 2019-03-17 22:09:56,252 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,252 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,253 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,253 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,253 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,253 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat/axis
[ 2019-03-17 22:09:56,254 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,254 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,254 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,254 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:56,255 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,255 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_1
[ 2019-03-17 22:09:56,255 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,255 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,255 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,256 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,256 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,256 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const
[ 2019-03-17 22:09:56,257 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,257 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,257 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,258 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,258 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,258 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat
[ 2019-03-17 22:09:56,258 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:56,259 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,260 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,260 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,260 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,261 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,261 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,261 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros
[ 2019-03-17 22:09:56,261 ] [ DEBUG ] [ infer:152 ]  Op: Fill
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros"
[ 2019-03-17 22:09:56,265 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,266 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,266 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,267 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,267 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Const' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,267 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,281 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros': '[  1 512]'
[ 2019-03-17 22:09:56,282 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,283 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,283 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,283 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,297 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,298 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,299 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_7
[ 2019-03-17 22:09:56,299 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,299 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,315 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,315 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,329 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,329 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,330 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_7
[ 2019-03-17 22:09:56,330 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:56,330 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,341 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,342 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:56,342 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,342 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,343 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,343 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_7
[ 2019-03-17 22:09:56,343 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,343 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,344 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,344 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,344 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,345 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,345 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,345 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_7
[ 2019-03-17 22:09:56,346 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,346 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,346 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,347 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,347 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,347 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,347 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Const
[ 2019-03-17 22:09:56,348 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,348 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,348 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,348 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,349 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,349 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_1/axis
[ 2019-03-17 22:09:56,349 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,349 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,349 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,350 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:56,350 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,350 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_5
[ 2019-03-17 22:09:56,350 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,351 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,351 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,351 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,352 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,352 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_4
[ 2019-03-17 22:09:56,352 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,352 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,352 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,353 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,353 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,353 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_1
[ 2019-03-17 22:09:56,353 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:56,354 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,355 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,355 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,356 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,356 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,356 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,357 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1
[ 2019-03-17 22:09:56,357 ] [ DEBUG ] [ infer:152 ]  Op: Fill
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1"
[ 2019-03-17 22:09:56,360 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,362 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,362 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_1' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,363 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,363 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Const' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,363 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,380 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1': '[  1 512]'
[ 2019-03-17 22:09:56,383 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,384 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,384 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,385 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,400 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,401 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,401 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_6
[ 2019-03-17 22:09:56,401 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,402 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,416 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,416 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,428 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,429 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,429 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_6
[ 2019-03-17 22:09:56,429 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:56,429 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,443 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,444 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:56,444 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,444 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,445 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,445 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_6
[ 2019-03-17 22:09:56,445 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,446 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,446 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,446 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,447 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,447 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,447 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,448 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_6
[ 2019-03-17 22:09:56,448 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,449 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,449 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,450 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,450 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,450 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,451 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros/Const
[ 2019-03-17 22:09:56,451 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,451 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,451 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,452 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,452 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,452 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat/axis
[ 2019-03-17 22:09:56,452 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,453 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,453 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,453 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:56,453 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,454 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_1
[ 2019-03-17 22:09:56,454 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,454 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,454 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,455 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,455 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,455 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const
[ 2019-03-17 22:09:56,455 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,456 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,456 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,456 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,457 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,457 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat
[ 2019-03-17 22:09:56,457 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:56,458 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,459 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,459 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,459 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,460 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,460 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,461 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros
[ 2019-03-17 22:09:56,461 ] [ DEBUG ] [ infer:152 ]  Op: Fill
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros"
[ 2019-03-17 22:09:56,464 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,466 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,466 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,466 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,467 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros/Const' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,467 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,483 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros': '[  1 512]'
[ 2019-03-17 22:09:56,484 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,485 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,485 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,486 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,497 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,498 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,498 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_5
[ 2019-03-17 22:09:56,498 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,499 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,510 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,510 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,522 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,523 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,523 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_5
[ 2019-03-17 22:09:56,523 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:56,523 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,535 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,535 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:56,535 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,536 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,536 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,537 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_5
[ 2019-03-17 22:09:56,537 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,537 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,538 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,538 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,538 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,538 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,539 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,539 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_5
[ 2019-03-17 22:09:56,539 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,540 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,540 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,540 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,541 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,541 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,541 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Const
[ 2019-03-17 22:09:56,542 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,542 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,542 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,543 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,543 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,544 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1/axis
[ 2019-03-17 22:09:56,544 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,544 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,545 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,545 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:56,546 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,546 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_5
[ 2019-03-17 22:09:56,546 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,547 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,547 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,550 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,551 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,551 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_4
[ 2019-03-17 22:09:56,551 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,552 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,552 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,552 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,553 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,553 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1
[ 2019-03-17 22:09:56,553 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:56,555 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,555 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,556 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,556 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,556 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,557 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,557 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1
[ 2019-03-17 22:09:56,558 ] [ DEBUG ] [ infer:152 ]  Op: Fill
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1"
[ 2019-03-17 22:09:56,562 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,563 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,564 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,564 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,564 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Const' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,564 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,580 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1': '[  1 512]'
[ 2019-03-17 22:09:56,581 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,582 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,582 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,583 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,594 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,594 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,595 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_4
[ 2019-03-17 22:09:56,595 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,595 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,607 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,607 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,618 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,619 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,619 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_4
[ 2019-03-17 22:09:56,619 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:56,619 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,632 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,633 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:56,633 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,633 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,634 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,634 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_4
[ 2019-03-17 22:09:56,634 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,635 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,635 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,635 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,635 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,636 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,636 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,636 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_4
[ 2019-03-17 22:09:56,637 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,637 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,638 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,638 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,638 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,638 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,639 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Const
[ 2019-03-17 22:09:56,639 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,639 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,640 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,640 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,641 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,641 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat/axis
[ 2019-03-17 22:09:56,641 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,641 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,642 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,642 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:56,642 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,643 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_1
[ 2019-03-17 22:09:56,643 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,643 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,643 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,644 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,644 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,644 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const
[ 2019-03-17 22:09:56,645 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,645 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,645 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,646 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,646 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,646 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat
[ 2019-03-17 22:09:56,646 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:56,647 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,648 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1], value = [1]
[ 2019-03-17 22:09:56,648 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [512]
[ 2019-03-17 22:09:56,649 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,649 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,650 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,650 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros
[ 2019-03-17 22:09:56,650 ] [ DEBUG ] [ infer:152 ]  Op: Fill
[ INFO ]  Called "tf_native_tf_node_infer" for node "spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros"
[ 2019-03-17 22:09:56,653 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,655 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,655 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,656 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,656 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Const' with input 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,656 ] [ DEBUG ] [ tf:243 ]  Replacing input '1' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros' with placeholder 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Const_port_0_ie_placeholder'
[ 2019-03-17 22:09:56,671 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros': '[  1 512]'
[ 2019-03-17 22:09:56,673 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,674 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [  1 512]
[ 2019-03-17 22:09:56,674 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.0
[ 2019-03-17 22:09:56,674 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,686 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,686 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,686 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Enter_3
[ 2019-03-17 22:09:56,687 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:56,687 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,698 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,698 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,713 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,713 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,714 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Merge_3
[ 2019-03-17 22:09:56,714 ] [ DEBUG ] [ infer:152 ]  Op: Merge
[ 2019-03-17 22:09:56,714 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,726 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
  0. 0. 0. 0. 0. 0. 0. ...
[ 2019-03-17 22:09:56,726 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = <UNKNOWN>, value = <UNKNOWN>
[ 2019-03-17 22:09:56,726 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,726 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,727 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,727 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Switch_3
[ 2019-03-17 22:09:56,727 ] [ DEBUG ] [ infer:152 ]  Op: Switch
[ 2019-03-17 22:09:56,728 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,728 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,728 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:56,729 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,729 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,729 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,730 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Identity_3
[ 2019-03-17 22:09:56,730 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,730 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,731 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,731 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,731 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:56,732 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,732 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/concat/axis
[ 2019-03-17 22:09:56,732 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,732 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,732 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,733 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:56,733 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,733 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/concat/values_0
[ 2019-03-17 22:09:56,733 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,734 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,734 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,734 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [2], value = [1 0]
[ 2019-03-17 22:09:56,735 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,735 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/range/delta
[ 2019-03-17 22:09:56,735 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,735 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,736 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,736 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:56,736 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,736 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/range/start
[ 2019-03-17 22:09:56,737 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,737 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,737 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,737 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 2
[ 2019-03-17 22:09:56,739 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,739 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/Rank
[ 2019-03-17 22:09:56,739 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,739 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,740 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,740 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 3
[ 2019-03-17 22:09:56,740 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,740 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/range
[ 2019-03-17 22:09:56,741 ] [ DEBUG ] [ infer:152 ]  Op: Range
[ 2019-03-17 22:09:56,741 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,742 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 3
[ 2019-03-17 22:09:56,742 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 2
[ 2019-03-17 22:09:56,742 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [], value = 1
[ 2019-03-17 22:09:56,742 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,743 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1], value = [2]
[ 2019-03-17 22:09:56,743 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,743 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/concat
[ 2019-03-17 22:09:56,743 ] [ DEBUG ] [ infer:152 ]  Op: ConcatV2
[ 2019-03-17 22:09:56,744 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,745 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [1], value = [2]
[ 2019-03-17 22:09:56,745 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [2], value = [1 0]
[ 2019-03-17 22:09:56,745 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,746 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [3], value = [1 0 2]
[ 2019-03-17 22:09:56,746 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,746 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/add/y
[ 2019-03-17 22:09:56,746 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,747 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,747 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,747 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.001
[ 2019-03-17 22:09:56,747 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,748 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/moving_variance
[ 2019-03-17 22:09:56,748 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,748 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,748 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,760 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:56,761 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,761 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/moving_variance/read
[ 2019-03-17 22:09:56,761 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,761 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,772 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:56,773 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,785 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:56,786 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,786 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/add
[ 2019-03-17 22:09:56,786 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:56,786 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,800 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:56,801 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.001
[ 2019-03-17 22:09:56,801 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,813 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:56,813 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,814 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/Rsqrt
[ 2019-03-17 22:09:56,814 ] [ DEBUG ] [ infer:152 ]  Op: Rsqrt
[ 2019-03-17 22:09:56,814 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,826 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:56,826 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,839 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:56,840 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,840 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/moving_mean
[ 2019-03-17 22:09:56,840 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,840 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,840 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,852 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:56,853 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,853 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/moving_mean/read
[ 2019-03-17 22:09:56,853 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,854 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,865 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:56,866 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,879 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:56,880 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,880 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/beta
[ 2019-03-17 22:09:56,880 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,880 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,880 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,894 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-7.80042727e-04 -7.66557734e-03  2.13933340e-03 -1.08347991e-02
 -3.28366039e-03 -1.10146878e-02...
[ 2019-03-17 22:09:56,894 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,894 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/beta/read
[ 2019-03-17 22:09:56,895 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,895 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,908 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [-7.80042727e-04 -7.66557734e-03  2.13933340e-03 -1.08347991e-02
 -3.28366039e-03 -1.10146878e-02...
[ 2019-03-17 22:09:56,909 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,923 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-7.80042727e-04 -7.66557734e-03  2.13933340e-03 -1.08347991e-02
 -3.28366039e-03 -1.10146878e-02...
[ 2019-03-17 22:09:56,923 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,923 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/gamma
[ 2019-03-17 22:09:56,924 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:56,924 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,924 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,939 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.007963   1.0060503  1.0073595  1.0039784  1.0015347  1.0157379
 1.0070839  1.0236577  0.999778...
[ 2019-03-17 22:09:56,940 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,940 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/gamma/read
[ 2019-03-17 22:09:56,940 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:56,941 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,953 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [1.007963   1.0060503  1.0073595  1.0039784  1.0015347  1.0157379
 1.0070839  1.0236577  0.999778...
[ 2019-03-17 22:09:56,953 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:56,972 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.007963   1.0060503  1.0073595  1.0039784  1.0015347  1.0157379
 1.0070839  1.0236577  0.999778...
[ 2019-03-17 22:09:56,973 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:56,973 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/mul
[ 2019-03-17 22:09:56,973 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:56,973 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:56,985 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [1.007963   1.0060503  1.0073595  1.0039784  1.0015347  1.0157379
 1.0070839  1.0236577  0.999778...
[ 2019-03-17 22:09:56,998 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:56,998 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,011 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.0074594  1.0055478  1.0068562  1.0034767  1.0010344  1.0152304
 1.0065807  1.0231463  0.999278...
[ 2019-03-17 22:09:57,012 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,012 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/mul_2
[ 2019-03-17 22:09:57,012 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:57,013 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,025 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,037 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [1.0074594  1.0055478  1.0068562  1.0034767  1.0010344  1.0152304
 1.0065807  1.0231463  0.999278...
[ 2019-03-17 22:09:57,037 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,048 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,049 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,049 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub/negate_
[ 2019-03-17 22:09:57,049 ] [ DEBUG ] [ infer:152 ]  Op: Power
[ 2019-03-17 22:09:57,050 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,061 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,061 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,073 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,073 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,074 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub/add_
[ 2019-03-17 22:09:57,074 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:57,074 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,088 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [-7.80042727e-04 -7.66557734e-03  2.13933340e-03 -1.08347991e-02
 -3.28366039e-03 -1.10146878e-02...
[ 2019-03-17 22:09:57,099 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,099 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,114 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-7.80042727e-04 -7.66557734e-03  2.13933340e-03 -1.08347991e-02
 -3.28366039e-03 -1.10146878e-02...
[ 2019-03-17 22:09:57,114 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,115 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims_1/dim
[ 2019-03-17 22:09:57,115 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,115 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,115 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,116 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:57,116 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,116 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims/dim
[ 2019-03-17 22:09:57,116 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,116 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,117 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,117 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:57,117 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,117 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/bias
[ 2019-03-17 22:09:57,117 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,118 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,118 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,131 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-8.40652036e-04 -7.68809207e-03  2.11746455e-03 -1.09434035e-02
 -3.32584139e-03 -1.10903960e-02...
[ 2019-03-17 22:09:57,131 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,132 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/bias/read
[ 2019-03-17 22:09:57,132 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,132 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,151 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [-8.40652036e-04 -7.68809207e-03  2.11746455e-03 -1.09434035e-02
 -3.32584139e-03 -1.10903960e-02...
[ 2019-03-17 22:09:57,151 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,167 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-8.40652036e-04 -7.68809207e-03  2.11746455e-03 -1.09434035e-02
 -3.32584139e-03 -1.10903960e-02...
[ 2019-03-17 22:09:57,167 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,168 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/kernel
[ 2019-03-17 22:09:57,168 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,168 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,168 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,171 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 512 512], value = [[[ 7.0989966e-02 -5.0314654e-02 -6.5823540e-02 ... -2.6750781e-03
    2.6358338e-02 -2.6148457e-...
[ 2019-03-17 22:09:57,172 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,172 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/kernel/read
[ 2019-03-17 22:09:57,172 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,172 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,177 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 512 512], value = [[[ 7.0989966e-02 -5.0314654e-02 -6.5823540e-02 ... -2.6750781e-03
    2.6358338e-02 -2.6148457e-...
[ 2019-03-17 22:09:57,177 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,181 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 512 512], value = [[[ 7.0989966e-02 -5.0314654e-02 -6.5823540e-02 ... -2.6750781e-03
    2.6358338e-02 -2.6148457e-...
[ 2019-03-17 22:09:57,181 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,181 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims_1
[ 2019-03-17 22:09:57,182 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:57,183 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,186 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 512 512], value = [[[ 7.0989966e-02 -5.0314654e-02 -6.5823540e-02 ... -2.6750781e-03
    2.6358338e-02 -2.6148457e-...
[ 2019-03-17 22:09:57,186 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,190 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   3 512 512], value = [[[[ 7.0989966e-02 -5.0314654e-02 -6.5823540e-02 ... -2.6750781e-03
     2.6358338e-02 -2.6148457...
[ 2019-03-17 22:09:57,190 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,191 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/add/y
[ 2019-03-17 22:09:57,191 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,191 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,191 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,191 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.001
[ 2019-03-17 22:09:57,192 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,192 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/moving_variance
[ 2019-03-17 22:09:57,192 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,192 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,192 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,204 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:57,204 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,204 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/moving_variance/read
[ 2019-03-17 22:09:57,205 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,205 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,216 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:57,216 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,229 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:57,229 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,229 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/add
[ 2019-03-17 22:09:57,229 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:57,230 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,243 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:57,244 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.001
[ 2019-03-17 22:09:57,244 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,257 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:57,258 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,258 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/Rsqrt
[ 2019-03-17 22:09:57,258 ] [ DEBUG ] [ infer:152 ]  Op: Rsqrt
[ 2019-03-17 22:09:57,259 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,270 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:57,270 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,283 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:57,283 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,283 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/moving_mean
[ 2019-03-17 22:09:57,284 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,284 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,284 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,295 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,296 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,296 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/moving_mean/read
[ 2019-03-17 22:09:57,296 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,297 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,308 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,308 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,322 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,323 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,323 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/beta
[ 2019-03-17 22:09:57,323 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,324 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,324 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,337 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [ 1.1206801e-03 -2.3367635e-03 -7.1355500e-03 -2.4223847e-03
  3.8753857e-03 -3.6522618e-03 -1.96...
[ 2019-03-17 22:09:57,337 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,338 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/beta/read
[ 2019-03-17 22:09:57,338 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,338 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,352 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [ 1.1206801e-03 -2.3367635e-03 -7.1355500e-03 -2.4223847e-03
  3.8753857e-03 -3.6522618e-03 -1.96...
[ 2019-03-17 22:09:57,352 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,365 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [ 1.1206801e-03 -2.3367635e-03 -7.1355500e-03 -2.4223847e-03
  3.8753857e-03 -3.6522618e-03 -1.96...
[ 2019-03-17 22:09:57,366 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,366 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/gamma
[ 2019-03-17 22:09:57,366 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,367 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,367 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,382 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.0004603  1.002532   1.0017502  1.0052316  1.0066941  1.0020176
 0.999534   1.0097615  1.009179...
[ 2019-03-17 22:09:57,383 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,383 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/gamma/read
[ 2019-03-17 22:09:57,383 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,384 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,401 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [1.0004603  1.002532   1.0017502  1.0052316  1.0066941  1.0020176
 0.999534   1.0097615  1.009179...
[ 2019-03-17 22:09:57,401 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,415 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.0004603  1.002532   1.0017502  1.0052316  1.0066941  1.0020176
 0.999534   1.0097615  1.009179...
[ 2019-03-17 22:09:57,416 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,416 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/mul
[ 2019-03-17 22:09:57,416 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:57,417 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,429 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [1.0004603  1.002532   1.0017502  1.0052316  1.0066941  1.0020176
 0.999534   1.0097615  1.009179...
[ 2019-03-17 22:09:57,441 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:57,441 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,453 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0.9999604  1.0020311  1.0012498  1.0047294  1.0061911  1.001517
 0.99903464 1.009257   1.0086752...
[ 2019-03-17 22:09:57,454 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,454 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/mul_2
[ 2019-03-17 22:09:57,454 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:57,454 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,466 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,479 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0.9999604  1.0020311  1.0012498  1.0047294  1.0061911  1.001517
 0.99903464 1.009257   1.0086752...
[ 2019-03-17 22:09:57,479 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,492 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,492 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,492 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub/negate_
[ 2019-03-17 22:09:57,493 ] [ DEBUG ] [ infer:152 ]  Op: Power
[ 2019-03-17 22:09:57,493 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,505 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,506 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,520 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,520 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,521 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub/add_
[ 2019-03-17 22:09:57,521 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:57,521 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,538 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [ 1.1206801e-03 -2.3367635e-03 -7.1355500e-03 -2.4223847e-03
  3.8753857e-03 -3.6522618e-03 -1.96...
[ 2019-03-17 22:09:57,550 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,550 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,565 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [ 1.1206801e-03 -2.3367635e-03 -7.1355500e-03 -2.4223847e-03
  3.8753857e-03 -3.6522618e-03 -1.96...
[ 2019-03-17 22:09:57,566 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,566 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims_1/dim
[ 2019-03-17 22:09:57,566 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,567 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,567 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,567 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:57,567 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,568 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims/dim
[ 2019-03-17 22:09:57,568 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,568 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,568 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,568 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:57,569 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,569 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/bias
[ 2019-03-17 22:09:57,569 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,569 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,570 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,585 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [ 1.11946207e-03 -2.37401924e-03 -7.16306688e-03 -2.47903494e-03
  3.83454352e-03 -3.67252529e-03...
[ 2019-03-17 22:09:57,586 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,586 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/bias/read
[ 2019-03-17 22:09:57,586 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,586 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,599 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [ 1.11946207e-03 -2.37401924e-03 -7.16306688e-03 -2.47903494e-03
  3.83454352e-03 -3.67252529e-03...
[ 2019-03-17 22:09:57,599 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,612 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [ 1.11946207e-03 -2.37401924e-03 -7.16306688e-03 -2.47903494e-03
  3.83454352e-03 -3.67252529e-03...
[ 2019-03-17 22:09:57,613 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,613 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/kernel
[ 2019-03-17 22:09:57,613 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,613 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,614 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,617 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 256 512], value = [[[-3.21085914e-03 -2.21884232e-02 -8.55684727e-02 ... -1.63935199e-02
    1.23029929e-02 -6.2155...
[ 2019-03-17 22:09:57,617 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,617 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/kernel/read
[ 2019-03-17 22:09:57,618 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,618 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,622 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 256 512], value = [[[-3.21085914e-03 -2.21884232e-02 -8.55684727e-02 ... -1.63935199e-02
    1.23029929e-02 -6.2155...
[ 2019-03-17 22:09:57,622 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,626 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 256 512], value = [[[-3.21085914e-03 -2.21884232e-02 -8.55684727e-02 ... -1.63935199e-02
    1.23029929e-02 -6.2155...
[ 2019-03-17 22:09:57,626 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,627 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims_1
[ 2019-03-17 22:09:57,627 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:57,628 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,632 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 256 512], value = [[[-3.21085914e-03 -2.21884232e-02 -8.55684727e-02 ... -1.63935199e-02
    1.23029929e-02 -6.2155...
[ 2019-03-17 22:09:57,633 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,636 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   3 256 512], value = [[[[-3.21085914e-03 -2.21884232e-02 -8.55684727e-02 ... -1.63935199e-02
     1.23029929e-02 -6.21...
[ 2019-03-17 22:09:57,637 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,637 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/add/y
[ 2019-03-17 22:09:57,637 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,637 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,638 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,638 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.001
[ 2019-03-17 22:09:57,638 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,638 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/moving_variance
[ 2019-03-17 22:09:57,639 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,639 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,639 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,645 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:57,646 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,646 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/moving_variance/read
[ 2019-03-17 22:09:57,646 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,647 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,653 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:57,653 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,660 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:57,661 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,661 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/add
[ 2019-03-17 22:09:57,661 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:57,662 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,668 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:57,668 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.001
[ 2019-03-17 22:09:57,668 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,675 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:57,675 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,675 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/Rsqrt
[ 2019-03-17 22:09:57,676 ] [ DEBUG ] [ infer:152 ]  Op: Rsqrt
[ 2019-03-17 22:09:57,676 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,682 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:57,682 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,688 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:57,689 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,689 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/moving_mean
[ 2019-03-17 22:09:57,689 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,689 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,689 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,695 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,696 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,696 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/moving_mean/read
[ 2019-03-17 22:09:57,697 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,697 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,704 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,704 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,712 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,712 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,712 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/beta
[ 2019-03-17 22:09:57,713 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,713 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,713 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,720 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 3.95187829e-03 -9.82402544e-03 -1.87268723e-02  7.15974765e-03
  4.58617788e-03  1.59223359e-02...
[ 2019-03-17 22:09:57,721 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,721 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/beta/read
[ 2019-03-17 22:09:57,721 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,722 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,731 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [ 3.95187829e-03 -9.82402544e-03 -1.87268723e-02  7.15974765e-03
  4.58617788e-03  1.59223359e-02...
[ 2019-03-17 22:09:57,732 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,738 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 3.95187829e-03 -9.82402544e-03 -1.87268723e-02  7.15974765e-03
  4.58617788e-03  1.59223359e-02...
[ 2019-03-17 22:09:57,739 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,739 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/gamma
[ 2019-03-17 22:09:57,739 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,740 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,740 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,746 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.0167245  0.99858433 1.0485467  1.0163606  1.0311669  1.0108894
 1.0163829  0.99374986 0.991899...
[ 2019-03-17 22:09:57,746 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,746 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/gamma/read
[ 2019-03-17 22:09:57,746 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,747 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,753 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [1.0167245  0.99858433 1.0485467  1.0163606  1.0311669  1.0108894
 1.0163829  0.99374986 0.991899...
[ 2019-03-17 22:09:57,753 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,761 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.0167245  0.99858433 1.0485467  1.0163606  1.0311669  1.0108894
 1.0163829  0.99374986 0.991899...
[ 2019-03-17 22:09:57,762 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,762 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/mul
[ 2019-03-17 22:09:57,762 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:57,763 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,769 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [1.0167245  0.99858433 1.0485467  1.0163606  1.0311669  1.0108894
 1.0163829  0.99374986 0.991899...
[ 2019-03-17 22:09:57,777 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:57,778 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,784 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.0162165  0.99808544 1.0480229  1.0158528  1.0306517  1.0103843
 1.0158751  0.99325335 0.991403...
[ 2019-03-17 22:09:57,785 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,785 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/mul_2
[ 2019-03-17 22:09:57,785 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:57,786 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,792 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,799 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [1.0162165  0.99808544 1.0480229  1.0158528  1.0306517  1.0103843
 1.0158751  0.99325335 0.991403...
[ 2019-03-17 22:09:57,799 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,808 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,808 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,809 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub/negate_
[ 2019-03-17 22:09:57,809 ] [ DEBUG ] [ infer:152 ]  Op: Power
[ 2019-03-17 22:09:57,809 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,817 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,817 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,824 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,825 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,825 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub/add_
[ 2019-03-17 22:09:57,825 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:57,826 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,832 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [ 3.95187829e-03 -9.82402544e-03 -1.87268723e-02  7.15974765e-03
  4.58617788e-03  1.59223359e-02...
[ 2019-03-17 22:09:57,838 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:57,838 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,847 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 3.95187829e-03 -9.82402544e-03 -1.87268723e-02  7.15974765e-03
  4.58617788e-03  1.59223359e-02...
[ 2019-03-17 22:09:57,847 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,848 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims_1/dim
[ 2019-03-17 22:09:57,848 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,848 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,849 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,849 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:57,849 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,850 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims/dim
[ 2019-03-17 22:09:57,850 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,850 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,850 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,850 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:57,851 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,851 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/bias
[ 2019-03-17 22:09:57,851 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,851 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,851 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,858 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 3.97014339e-03 -1.03658428e-02 -1.96596421e-02  7.17372261e-03
  4.47784411e-03  1.59283429e-02...
[ 2019-03-17 22:09:57,859 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,859 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/bias/read
[ 2019-03-17 22:09:57,859 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,859 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,867 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [ 3.97014339e-03 -1.03658428e-02 -1.96596421e-02  7.17372261e-03
  4.47784411e-03  1.59283429e-02...
[ 2019-03-17 22:09:57,867 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,874 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 3.97014339e-03 -1.03658428e-02 -1.96596421e-02  7.17372261e-03
  4.47784411e-03  1.59283429e-02...
[ 2019-03-17 22:09:57,874 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,874 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/kernel
[ 2019-03-17 22:09:57,875 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,875 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,875 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,878 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 182 256], value = [[[ 0.10378325  0.01596859 -0.05274214 ...  0.07833526 -0.05113211
   -0.050156  ]
  [ 0.02837425...
[ 2019-03-17 22:09:57,879 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,879 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/kernel/read
[ 2019-03-17 22:09:57,879 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,880 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,883 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 182 256], value = [[[ 0.10378325  0.01596859 -0.05274214 ...  0.07833526 -0.05113211
   -0.050156  ]
  [ 0.02837425...
[ 2019-03-17 22:09:57,883 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,887 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 182 256], value = [[[ 0.10378325  0.01596859 -0.05274214 ...  0.07833526 -0.05113211
   -0.050156  ]
  [ 0.02837425...
[ 2019-03-17 22:09:57,888 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,888 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims_1
[ 2019-03-17 22:09:57,888 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:57,889 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,894 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 182 256], value = [[[ 0.10378325  0.01596859 -0.05274214 ...  0.07833526 -0.05113211
   -0.050156  ]
  [ 0.02837425...
[ 2019-03-17 22:09:57,894 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,897 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   3 182 256], value = [[[[ 0.10378325  0.01596859 -0.05274214 ...  0.07833526 -0.05113211
    -0.050156  ]
   [ 0.02837...
[ 2019-03-17 22:09:57,898 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,898 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/add/y
[ 2019-03-17 22:09:57,898 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,898 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,898 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,899 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.001
[ 2019-03-17 22:09:57,899 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,899 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/moving_variance
[ 2019-03-17 22:09:57,900 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:57,900 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,900 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,916 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:57,917 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,917 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/moving_variance/read
[ 2019-03-17 22:09:57,917 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:57,918 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,935 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:57,935 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,951 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:57,952 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,952 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/add
[ 2019-03-17 22:09:57,952 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:57,953 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,964 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:57,965 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.001
[ 2019-03-17 22:09:57,965 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:57,977 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:57,978 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:57,978 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/Rsqrt
[ 2019-03-17 22:09:57,978 ] [ DEBUG ] [ infer:152 ]  Op: Rsqrt
[ 2019-03-17 22:09:57,979 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:57,990 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:57,990 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,004 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,004 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,005 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/moving_mean
[ 2019-03-17 22:09:58,005 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,005 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,005 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,017 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,018 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,018 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/moving_mean/read
[ 2019-03-17 22:09:58,019 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,019 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,032 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,032 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,044 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,045 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,045 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/beta
[ 2019-03-17 22:09:58,045 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,048 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,048 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,062 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-5.32524893e-03 -3.41834291e-03  8.63424037e-04 -1.87578250e-03
  9.49341280e-04 -4.33250470e-03...
[ 2019-03-17 22:09:58,063 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,063 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/beta/read
[ 2019-03-17 22:09:58,063 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,063 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,077 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [-5.32524893e-03 -3.41834291e-03  8.63424037e-04 -1.87578250e-03
  9.49341280e-04 -4.33250470e-03...
[ 2019-03-17 22:09:58,078 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,092 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-5.32524893e-03 -3.41834291e-03  8.63424037e-04 -1.87578250e-03
  9.49341280e-04 -4.33250470e-03...
[ 2019-03-17 22:09:58,093 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,093 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/gamma
[ 2019-03-17 22:09:58,093 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,093 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,094 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,107 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0.9999211  1.0018882  0.99904627 1.0000513  1.0047655  0.9999031
 0.9999081  0.9988252  1.002743...
[ 2019-03-17 22:09:58,107 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,108 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/gamma/read
[ 2019-03-17 22:09:58,108 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,108 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,120 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0.9999211  1.0018882  0.99904627 1.0000513  1.0047655  0.9999031
 0.9999081  0.9988252  1.002743...
[ 2019-03-17 22:09:58,120 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,133 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0.9999211  1.0018882  0.99904627 1.0000513  1.0047655  0.9999031
 0.9999081  0.9988252  1.002743...
[ 2019-03-17 22:09:58,134 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,134 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/mul
[ 2019-03-17 22:09:58,134 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,135 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,147 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0.9999211  1.0018882  0.99904627 1.0000513  1.0047655  0.9999031
 0.9999081  0.9988252  1.002743...
[ 2019-03-17 22:09:58,160 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,160 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,173 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0.99942154 1.0013876  0.99854714 0.99955165 1.0042635  0.99940354
 0.99940854 0.9983262  1.00224...
[ 2019-03-17 22:09:58,174 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,174 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/mul_2
[ 2019-03-17 22:09:58,174 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,175 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,186 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,199 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0.99942154 1.0013876  0.99854714 0.99955165 1.0042635  0.99940354
 0.99940854 0.9983262  1.00224...
[ 2019-03-17 22:09:58,199 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,211 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,212 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,212 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/sub/negate_
[ 2019-03-17 22:09:58,212 ] [ DEBUG ] [ infer:152 ]  Op: Power
[ 2019-03-17 22:09:58,212 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,224 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,224 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,236 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,237 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,237 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/sub/add_
[ 2019-03-17 22:09:58,237 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,238 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,252 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [-5.32524893e-03 -3.41834291e-03  8.63424037e-04 -1.87578250e-03
  9.49341280e-04 -4.33250470e-03...
[ 2019-03-17 22:09:58,263 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,263 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,277 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-5.32524893e-03 -3.41834291e-03  8.63424037e-04 -1.87578250e-03
  9.49341280e-04 -4.33250470e-03...
[ 2019-03-17 22:09:58,277 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,277 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/conv1d/ExpandDims_1/dim
[ 2019-03-17 22:09:58,278 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,278 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,278 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,278 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:58,279 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,279 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/conv1d/ExpandDims/dim
[ 2019-03-17 22:09:58,279 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,279 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,279 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,280 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:58,280 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,280 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/bias
[ 2019-03-17 22:09:58,280 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,281 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,281 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,294 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-5.32235624e-03 -3.40969069e-03  8.59346939e-04 -1.87482859e-03
  9.48017405e-04 -4.33015497e-03...
[ 2019-03-17 22:09:58,295 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,295 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/bias/read
[ 2019-03-17 22:09:58,295 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,296 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,310 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [512], value = [-5.32235624e-03 -3.40969069e-03  8.59346939e-04 -1.87482859e-03
  9.48017405e-04 -4.33015497e-03...
[ 2019-03-17 22:09:58,311 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,324 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [512], value = [-5.32235624e-03 -3.40969069e-03  8.59346939e-04 -1.87482859e-03
  9.48017405e-04 -4.33015497e-03...
[ 2019-03-17 22:09:58,325 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,325 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/kernel
[ 2019-03-17 22:09:58,325 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,326 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,326 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,329 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 256 512], value = [[[-0.00075483 -0.00761538  0.02321353 ...  0.08803348 -0.06521032
   -0.06899805]
  [ 0.03653132...
[ 2019-03-17 22:09:58,330 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,330 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/kernel/read
[ 2019-03-17 22:09:58,330 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,331 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,334 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 256 512], value = [[[-0.00075483 -0.00761538  0.02321353 ...  0.08803348 -0.06521032
   -0.06899805]
  [ 0.03653132...
[ 2019-03-17 22:09:58,334 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,338 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 256 512], value = [[[-0.00075483 -0.00761538  0.02321353 ...  0.08803348 -0.06521032
   -0.06899805]
  [ 0.03653132...
[ 2019-03-17 22:09:58,338 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,339 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/conv1d/ExpandDims_1
[ 2019-03-17 22:09:58,339 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:58,340 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,343 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 256 512], value = [[[-0.00075483 -0.00761538  0.02321353 ...  0.08803348 -0.06521032
   -0.06899805]
  [ 0.03653132...
[ 2019-03-17 22:09:58,344 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,347 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   3 256 512], value = [[[[-0.00075483 -0.00761538  0.02321353 ...  0.08803348 -0.06521032
    -0.06899805]
   [ 0.03653...
[ 2019-03-17 22:09:58,348 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,348 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/add/y
[ 2019-03-17 22:09:58,348 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,348 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,349 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,349 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.001
[ 2019-03-17 22:09:58,349 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,350 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/moving_variance
[ 2019-03-17 22:09:58,350 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,350 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,350 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,356 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:58,357 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,357 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/moving_variance/read
[ 2019-03-17 22:09:58,357 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,358 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,364 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:58,364 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,370 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:58,370 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,370 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/add
[ 2019-03-17 22:09:58,370 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,371 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,378 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:58,378 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.001
[ 2019-03-17 22:09:58,378 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,387 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:58,388 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,388 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/Rsqrt
[ 2019-03-17 22:09:58,388 ] [ DEBUG ] [ infer:152 ]  Op: Rsqrt
[ 2019-03-17 22:09:58,389 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,399 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:58,399 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,407 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,407 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,408 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/moving_mean
[ 2019-03-17 22:09:58,408 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,408 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,408 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,416 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,417 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,417 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/moving_mean/read
[ 2019-03-17 22:09:58,417 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,418 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,426 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,426 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,434 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,435 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,435 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/beta
[ 2019-03-17 22:09:58,435 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,436 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,436 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,445 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 1.12557262e-02  1.98826529e-02  9.55713633e-03  4.63132225e-02
 -5.92820998e-03  1.76003464e-02...
[ 2019-03-17 22:09:58,445 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,446 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/beta/read
[ 2019-03-17 22:09:58,446 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,447 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,456 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [ 1.12557262e-02  1.98826529e-02  9.55713633e-03  4.63132225e-02
 -5.92820998e-03  1.76003464e-02...
[ 2019-03-17 22:09:58,457 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,464 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 1.12557262e-02  1.98826529e-02  9.55713633e-03  4.63132225e-02
 -5.92820998e-03  1.76003464e-02...
[ 2019-03-17 22:09:58,464 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,464 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/gamma
[ 2019-03-17 22:09:58,465 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,465 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,465 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,471 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.0005053  1.0223469  1.0006596  1.0053079  0.9998968  1.0001366
 1.0010912  0.9990738  1.000009...
[ 2019-03-17 22:09:58,472 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,472 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/gamma/read
[ 2019-03-17 22:09:58,472 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,473 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,480 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [1.0005053  1.0223469  1.0006596  1.0053079  0.9998968  1.0001366
 1.0010912  0.9990738  1.000009...
[ 2019-03-17 22:09:58,480 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,486 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.0005053  1.0223469  1.0006596  1.0053079  0.9998968  1.0001366
 1.0010912  0.9990738  1.000009...
[ 2019-03-17 22:09:58,486 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,486 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/mul
[ 2019-03-17 22:09:58,486 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,487 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,494 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [1.0005053  1.0223469  1.0006596  1.0053079  0.9998968  1.0001366
 1.0010912  0.9990738  1.000009...
[ 2019-03-17 22:09:58,500 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,501 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,507 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [1.0000055  1.021836   1.0001596  1.0048057  0.9993973  0.99963695
 1.000591   0.9985747  0.99951...
[ 2019-03-17 22:09:58,507 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,507 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/mul_2
[ 2019-03-17 22:09:58,507 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,508 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,515 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,521 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [1.0000055  1.021836   1.0001596  1.0048057  0.9993973  0.99963695
 1.000591   0.9985747  0.99951...
[ 2019-03-17 22:09:58,521 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,528 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,529 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,529 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/sub/negate_
[ 2019-03-17 22:09:58,529 ] [ DEBUG ] [ infer:152 ]  Op: Power
[ 2019-03-17 22:09:58,530 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,536 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,536 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,542 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,543 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,543 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/sub/add_
[ 2019-03-17 22:09:58,543 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,544 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,551 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [ 1.12557262e-02  1.98826529e-02  9.55713633e-03  4.63132225e-02
 -5.92820998e-03  1.76003464e-02...
[ 2019-03-17 22:09:58,557 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,557 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,563 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 1.12557262e-02  1.98826529e-02  9.55713633e-03  4.63132225e-02
 -5.92820998e-03  1.76003464e-02...
[ 2019-03-17 22:09:58,564 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,564 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/conv1d/ExpandDims_1/dim
[ 2019-03-17 22:09:58,564 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,564 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,565 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,565 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:58,565 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,566 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/conv1d/ExpandDims/dim
[ 2019-03-17 22:09:58,566 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,566 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,566 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,567 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:58,567 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,567 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/bias
[ 2019-03-17 22:09:58,567 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,568 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,568 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,575 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 1.12529919e-02  2.01415345e-02  9.55318753e-03  4.63739149e-02
 -5.92489168e-03  1.75937712e-02...
[ 2019-03-17 22:09:58,575 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,576 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/bias/read
[ 2019-03-17 22:09:58,576 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,576 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,583 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [256], value = [ 1.12529919e-02  2.01415345e-02  9.55318753e-03  4.63739149e-02
 -5.92489168e-03  1.75937712e-02...
[ 2019-03-17 22:09:58,583 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,590 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [256], value = [ 1.12529919e-02  2.01415345e-02  9.55318753e-03  4.63739149e-02
 -5.92489168e-03  1.75937712e-02...
[ 2019-03-17 22:09:58,591 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,591 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/kernel
[ 2019-03-17 22:09:58,591 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,591 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,592 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,595 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 128 256], value = [[[ 0.05045054  0.05083888  0.02092816 ... -0.03865567 -0.14738685
   -0.07135887]
  [ 0.0071032 ...
[ 2019-03-17 22:09:58,595 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,596 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/kernel/read
[ 2019-03-17 22:09:58,596 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,596 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,600 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 128 256], value = [[[ 0.05045054  0.05083888  0.02092816 ... -0.03865567 -0.14738685
   -0.07135887]
  [ 0.0071032 ...
[ 2019-03-17 22:09:58,601 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,604 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3 128 256], value = [[[ 0.05045054  0.05083888  0.02092816 ... -0.03865567 -0.14738685
   -0.07135887]
  [ 0.0071032 ...
[ 2019-03-17 22:09:58,604 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,604 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/conv1d/ExpandDims_1
[ 2019-03-17 22:09:58,604 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:58,606 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,610 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3 128 256], value = [[[ 0.05045054  0.05083888  0.02092816 ... -0.03865567 -0.14738685
   -0.07135887]
  [ 0.0071032 ...
[ 2019-03-17 22:09:58,610 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,614 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   3 128 256], value = [[[[ 0.05045054  0.05083888  0.02092816 ... -0.03865567 -0.14738685
    -0.07135887]
   [ 0.00710...
[ 2019-03-17 22:09:58,614 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,614 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/add/y
[ 2019-03-17 22:09:58,615 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,615 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,615 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,615 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.001
[ 2019-03-17 22:09:58,616 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,616 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/moving_variance
[ 2019-03-17 22:09:58,616 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,616 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,617 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,620 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:58,620 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,621 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/moving_variance/read
[ 2019-03-17 22:09:58,621 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,621 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,625 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:58,625 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,629 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:58,629 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,630 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/add
[ 2019-03-17 22:09:58,630 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,630 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,633 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:58,634 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.001
[ 2019-03-17 22:09:58,634 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,637 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:58,638 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,638 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/Rsqrt
[ 2019-03-17 22:09:58,639 ] [ DEBUG ] [ infer:152 ]  Op: Rsqrt
[ 2019-03-17 22:09:58,639 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,643 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:58,643 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,647 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,647 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,648 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/moving_mean
[ 2019-03-17 22:09:58,648 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,648 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,648 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,652 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,652 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,652 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/moving_mean/read
[ 2019-03-17 22:09:58,652 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,653 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,656 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,656 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,659 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,659 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,660 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/beta
[ 2019-03-17 22:09:58,660 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,660 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,660 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,664 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [ 0.03457135 -0.00338286  0.0029945   0.00918203 -0.01435596  0.01305742
  0.02449914 -0.00520663...
[ 2019-03-17 22:09:58,664 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,664 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/beta/read
[ 2019-03-17 22:09:58,665 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,665 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,669 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [ 0.03457135 -0.00338286  0.0029945   0.00918203 -0.01435596  0.01305742
  0.02449914 -0.00520663...
[ 2019-03-17 22:09:58,669 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,673 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [ 0.03457135 -0.00338286  0.0029945   0.00918203 -0.01435596  0.01305742
  0.02449914 -0.00520663...
[ 2019-03-17 22:09:58,673 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,674 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/gamma
[ 2019-03-17 22:09:58,674 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,674 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,674 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,677 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [1.0047828  0.9999741  1.0000383  1.0022126  0.99973905 1.021062
 1.0131278  0.9998973  1.0015028...
[ 2019-03-17 22:09:58,678 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,678 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/gamma/read
[ 2019-03-17 22:09:58,679 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,679 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,683 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [1.0047828  0.9999741  1.0000383  1.0022126  0.99973905 1.021062
 1.0131278  0.9998973  1.0015028...
[ 2019-03-17 22:09:58,684 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,687 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [1.0047828  0.9999741  1.0000383  1.0022126  0.99973905 1.021062
 1.0131278  0.9998973  1.0015028...
[ 2019-03-17 22:09:58,688 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,688 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/mul
[ 2019-03-17 22:09:58,688 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,689 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,694 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [128], value = [1.0047828  0.9999741  1.0000383  1.0022126  0.99973905 1.021062
 1.0131278  0.9998973  1.0015028...
[ 2019-03-17 22:09:58,697 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,697 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,700 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [1.0042808  0.99947447 0.99953866 1.001712   0.99923956 1.0205519
 1.0126216  0.99939775 1.001002...
[ 2019-03-17 22:09:58,701 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,701 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/mul_2
[ 2019-03-17 22:09:58,701 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,702 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,705 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,709 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [128], value = [1.0042808  0.99947447 0.99953866 1.001712   0.99923956 1.0205519
 1.0126216  0.99939775 1.001002...
[ 2019-03-17 22:09:58,709 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,712 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,713 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,713 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub/negate_
[ 2019-03-17 22:09:58,713 ] [ DEBUG ] [ infer:152 ]  Op: Power
[ 2019-03-17 22:09:58,714 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,717 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,717 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,720 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,721 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,721 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub/add_
[ 2019-03-17 22:09:58,721 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,722 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,726 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [ 0.03457135 -0.00338286  0.0029945   0.00918203 -0.01435596  0.01305742
  0.02449914 -0.00520663...
[ 2019-03-17 22:09:58,729 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [128], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,730 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,733 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [ 0.03457135 -0.00338286  0.0029945   0.00918203 -0.01435596  0.01305742
  0.02449914 -0.00520663...
[ 2019-03-17 22:09:58,734 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,734 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/conv1d/ExpandDims_1/dim
[ 2019-03-17 22:09:58,734 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,734 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,734 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,735 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:58,735 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,735 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/conv1d/ExpandDims/dim
[ 2019-03-17 22:09:58,736 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,736 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,736 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,736 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:58,737 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,737 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/bias
[ 2019-03-17 22:09:58,737 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,737 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,738 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,742 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [ 0.03464565 -0.00338112  0.00299308  0.00915942 -0.01434684  0.01314972
  0.02465082 -0.00520379...
[ 2019-03-17 22:09:58,743 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,743 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/bias/read
[ 2019-03-17 22:09:58,743 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,744 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,747 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [128], value = [ 0.03464565 -0.00338112  0.00299308  0.00915942 -0.01434684  0.01314972
  0.02465082 -0.00520379...
[ 2019-03-17 22:09:58,748 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,752 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [128], value = [ 0.03464565 -0.00338112  0.00299308  0.00915942 -0.01434684  0.01314972
  0.02465082 -0.00520379...
[ 2019-03-17 22:09:58,752 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,752 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/kernel
[ 2019-03-17 22:09:58,753 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,753 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,753 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,756 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3  64 128], value = [[[-0.11197457 -0.0777042   0.11070485 ... -0.05704582  0.09222797
    0.02990874]
  [ 0.08435752...
[ 2019-03-17 22:09:58,757 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,757 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/kernel/read
[ 2019-03-17 22:09:58,757 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,758 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,761 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3  64 128], value = [[[-0.11197457 -0.0777042   0.11070485 ... -0.05704582  0.09222797
    0.02990874]
  [ 0.08435752...
[ 2019-03-17 22:09:58,762 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,766 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  3  64 128], value = [[[-0.11197457 -0.0777042   0.11070485 ... -0.05704582  0.09222797
    0.02990874]
  [ 0.08435752...
[ 2019-03-17 22:09:58,766 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,766 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/conv1d/ExpandDims_1
[ 2019-03-17 22:09:58,767 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:58,767 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,771 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  3  64 128], value = [[[-0.11197457 -0.0777042   0.11070485 ... -0.05704582  0.09222797
    0.02990874]
  [ 0.08435752...
[ 2019-03-17 22:09:58,771 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,776 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   3  64 128], value = [[[[-0.11197457 -0.0777042   0.11070485 ... -0.05704582  0.09222797
     0.02990874]
   [ 0.08435...
[ 2019-03-17 22:09:58,776 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,776 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/add/y
[ 2019-03-17 22:09:58,777 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,777 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,777 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,777 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0.001
[ 2019-03-17 22:09:58,778 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,778 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/moving_variance
[ 2019-03-17 22:09:58,778 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,778 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,779 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,781 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:58,781 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,781 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/moving_variance/read
[ 2019-03-17 22:09:58,782 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,782 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,784 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:58,784 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,786 ] [ DEBUG ] [ infer:40 ]  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....
[ 2019-03-17 22:09:58,787 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,787 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/add
[ 2019-03-17 22:09:58,787 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,787 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,790 ] [ DEBUG ] [ infer:40 ]  input[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....
[ 2019-03-17 22:09:58,790 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 0.001
[ 2019-03-17 22:09:58,790 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,792 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:58,793 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,793 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/Rsqrt
[ 2019-03-17 22:09:58,794 ] [ DEBUG ] [ infer:152 ]  Op: Rsqrt
[ 2019-03-17 22:09:58,794 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,797 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001 1.001
 1.001 1.001 1.001 1.001...
[ 2019-03-17 22:09:58,797 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,800 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,800 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,801 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/moving_mean
[ 2019-03-17 22:09:58,801 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,801 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,801 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,803 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,804 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,804 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/moving_mean/read
[ 2019-03-17 22:09:58,804 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,805 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,807 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,807 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,809 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,809 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,809 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/beta
[ 2019-03-17 22:09:58,810 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,810 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,810 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,813 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [-0.02776928  0.00860045  0.00802145  0.02333457 -0.02031355 -0.02512991
  0.02157214 -0.00290838...
[ 2019-03-17 22:09:58,813 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,813 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/beta/read
[ 2019-03-17 22:09:58,814 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,814 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,816 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [-0.02776928  0.00860045  0.00802145  0.02333457 -0.02031355 -0.02512991
  0.02157214 -0.00290838...
[ 2019-03-17 22:09:58,816 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,818 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [-0.02776928  0.00860045  0.00802145  0.02333457 -0.02031355 -0.02512991
  0.02157214 -0.00290838...
[ 2019-03-17 22:09:58,819 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,819 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/gamma
[ 2019-03-17 22:09:58,819 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,819 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,820 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,822 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0.9993789  1.0129192  1.0281241  1.0123947  0.9999961  0.9994045
 1.0212008  1.0007131  1.013173...
[ 2019-03-17 22:09:58,822 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,823 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/gamma/read
[ 2019-03-17 22:09:58,823 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,823 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,826 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [0.9993789  1.0129192  1.0281241  1.0123947  0.9999961  0.9994045
 1.0212008  1.0007131  1.013173...
[ 2019-03-17 22:09:58,826 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,828 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0.9993789  1.0129192  1.0281241  1.0123947  0.9999961  0.9994045
 1.0212008  1.0007131  1.013173...
[ 2019-03-17 22:09:58,829 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,829 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/mul
[ 2019-03-17 22:09:58,829 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,830 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,832 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [64], value = [0.9993789  1.0129192  1.0281241  1.0123947  0.9999961  0.9994045
 1.0212008  1.0007131  1.013173...
[ 2019-03-17 22:09:58,833 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004 0.9995004
 0.9995004 0.9995004 0.999...
[ 2019-03-17 22:09:58,834 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,836 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0.9988796  1.0124131  1.0276104  1.0118889  0.9994965  0.9989052
 1.0206906  1.0002131  1.012667...
[ 2019-03-17 22:09:58,836 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,836 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/mul_2
[ 2019-03-17 22:09:58,836 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,837 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,839 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,843 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [64], value = [0.9988796  1.0124131  1.0276104  1.0118889  0.9994965  0.9989052
 1.0206906  1.0002131  1.012667...
[ 2019-03-17 22:09:58,843 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,845 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,846 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,846 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub/negate_
[ 2019-03-17 22:09:58,847 ] [ DEBUG ] [ infer:152 ]  Op: Power
[ 2019-03-17 22:09:58,847 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,849 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,850 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,852 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,852 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,852 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub/add_
[ 2019-03-17 22:09:58,852 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,853 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,855 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [-0.02776928  0.00860045  0.00802145  0.02333457 -0.02031355 -0.02512991
  0.02157214 -0.00290838...
[ 2019-03-17 22:09:58,858 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [64], value = [0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
 0. 0. 0. 0. 0. 0. 0. 0....
[ 2019-03-17 22:09:58,858 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,860 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [-0.02776928  0.00860045  0.00802145  0.02333457 -0.02031355 -0.02512991
  0.02157214 -0.00290838...
[ 2019-03-17 22:09:58,861 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,861 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims_1/dim
[ 2019-03-17 22:09:58,861 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,862 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,862 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,862 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 0
[ 2019-03-17 22:09:58,863 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,863 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims/dim
[ 2019-03-17 22:09:58,863 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,863 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,863 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,864 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 1
[ 2019-03-17 22:09:58,864 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,864 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/bias
[ 2019-03-17 22:09:58,865 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,865 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,865 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,867 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [-0.02774801  0.00863148  0.00796828  0.02329118 -0.02030629 -0.02511107
  0.02146086 -0.00290665...
[ 2019-03-17 22:09:58,868 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,868 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/bias/read
[ 2019-03-17 22:09:58,868 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,869 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,871 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [64], value = [-0.02774801  0.00863148  0.00796828  0.02329118 -0.02030629 -0.02511107
  0.02146086 -0.00290665...
[ 2019-03-17 22:09:58,871 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,873 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [64], value = [-0.02774801  0.00863148  0.00796828  0.02329118 -0.02030629 -0.02511107
  0.02146086 -0.00290665...
[ 2019-03-17 22:09:58,874 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,874 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/kernel
[ 2019-03-17 22:09:58,874 ] [ DEBUG ] [ infer:152 ]  Op: Const
[ 2019-03-17 22:09:58,875 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,875 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,879 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 3 28 64], value = [[[ 0.01322431  0.2028937  -0.03455529 ...  0.2793196  -0.0775563
    0.20544897]
  [ 0.09738392 ...
[ 2019-03-17 22:09:58,879 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,880 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/kernel/read
[ 2019-03-17 22:09:58,880 ] [ DEBUG ] [ infer:152 ]  Op: Identity
[ 2019-03-17 22:09:58,880 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,884 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 3 28 64], value = [[[ 0.01322431  0.2028937  -0.03455529 ...  0.2793196  -0.0775563
    0.20544897]
  [ 0.09738392 ...
[ 2019-03-17 22:09:58,884 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,888 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 3 28 64], value = [[[ 0.01322431  0.2028937  -0.03455529 ...  0.2793196  -0.0775563
    0.20544897]
  [ 0.09738392 ...
[ 2019-03-17 22:09:58,888 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,889 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims_1
[ 2019-03-17 22:09:58,889 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:58,889 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,892 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 3 28 64], value = [[[ 0.01322431  0.2028937  -0.03455529 ...  0.2793196  -0.0775563
    0.20544897]
  [ 0.09738392 ...
[ 2019-03-17 22:09:58,893 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,896 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1  3 28 64], value = [[[[ 0.01322431  0.2028937  -0.03455529 ...  0.2793196  -0.0775563
     0.20544897]
   [ 0.097383...
[ 2019-03-17 22:09:58,897 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,897 ] [ DEBUG ] [ infer:151 ]  Partial infer for input2
[ 2019-03-17 22:09:58,897 ] [ DEBUG ] [ infer:152 ]  Op: Placeholder
[ 2019-03-17 22:09:58,897 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,898 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,898 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1 30 28], value = <UNKNOWN>
[ 2019-03-17 22:09:58,898 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,898 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims
[ 2019-03-17 22:09:58,899 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:58,899 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,900 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1 30 28], value = <UNKNOWN>
[ 2019-03-17 22:09:58,900 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,900 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1  1 30 28], value = <UNKNOWN>
[ 2019-03-17 22:09:58,900 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,901 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/conv1d/Conv2D
[ 2019-03-17 22:09:58,901 ] [ DEBUG ] [ infer:152 ]  Op: Conv2D
[ 2019-03-17 22:09:58,903 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,903 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1  1 30 28], value = <UNKNOWN>
[ 2019-03-17 22:09:58,907 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [ 1  3 28 64], value = [[[[ 0.01322431  0.2028937  -0.03455529 ...  0.2793196  -0.0775563
     0.20544897]
   [ 0.097383...
[ 2019-03-17 22:09:58,907 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,908 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1  1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,908 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,908 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/conv1d/Squeeze
[ 2019-03-17 22:09:58,908 ] [ DEBUG ] [ infer:152 ]  Op: Squeeze
[ 2019-03-17 22:09:58,909 ] [ DEBUG ] [ squeeze:43 ]  The reshape from "[ 1  1 30 64]" with squeezed dims "[ 1 30 64]" is not a spatial squeeze
[ 2019-03-17 22:09:58,909 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,910 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1  1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,910 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,910 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,911 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,911 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/cov/BiasAdd
[ 2019-03-17 22:09:58,911 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,911 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,914 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [64], value = [-0.02774801  0.00863148  0.00796828  0.02329118 -0.02030629 -0.02511107
  0.02146086 -0.00290665...
[ 2019-03-17 22:09:58,915 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,915 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,915 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,916 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,916 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/mul_1
[ 2019-03-17 22:09:58,916 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,916 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,917 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,919 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [64], value = [0.9988796  1.0124131  1.0276104  1.0118889  0.9994965  0.9989052
 1.0206906  1.0002131  1.012667...
[ 2019-03-17 22:09:58,919 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,920 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,920 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,921 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/bn/batchnorm/add_1
[ 2019-03-17 22:09:58,921 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,921 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,922 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,924 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [64], value = [-0.02776928  0.00860045  0.00802145  0.02333457 -0.02031355 -0.02512991
  0.02157214 -0.00290838...
[ 2019-03-17 22:09:58,924 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,925 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,925 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,926 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_1/Relu
[ 2019-03-17 22:09:58,926 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-03-17 22:09:58,926 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,927 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,927 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,927 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,927 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,928 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/conv1d/ExpandDims
[ 2019-03-17 22:09:58,928 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:58,928 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,929 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,929 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,930 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 1  1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,930 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,930 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/conv1d/Conv2D
[ 2019-03-17 22:09:58,930 ] [ DEBUG ] [ infer:152 ]  Op: Conv2D
[ 2019-03-17 22:09:58,932 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,932 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 1  1 30 64], value = <UNKNOWN>
[ 2019-03-17 22:09:58,936 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1   3  64 128], value = [[[[-0.11197457 -0.0777042   0.11070485 ... -0.05704582  0.09222797
     0.02990874]
   [ 0.08435...
[ 2019-03-17 22:09:58,936 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,936 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,937 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,937 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/conv1d/Squeeze
[ 2019-03-17 22:09:58,937 ] [ DEBUG ] [ infer:152 ]  Op: Squeeze
[ 2019-03-17 22:09:58,938 ] [ DEBUG ] [ squeeze:43 ]  The reshape from "[  1   1  30 128]" with squeezed dims "[  1  30 128]" is not a spatial squeeze
[ 2019-03-17 22:09:58,938 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,939 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,939 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,940 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,940 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,940 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/cov/BiasAdd
[ 2019-03-17 22:09:58,941 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,941 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,944 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [128], value = [ 0.03464565 -0.00338112  0.00299308  0.00915942 -0.01434684  0.01314972
  0.02465082 -0.00520379...
[ 2019-03-17 22:09:58,945 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,945 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,945 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,946 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,946 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/mul_1
[ 2019-03-17 22:09:58,946 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,946 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,947 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,950 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [128], value = [1.0042808  0.99947447 0.99953866 1.001712   0.99923956 1.0205519
 1.0126216  0.99939775 1.001002...
[ 2019-03-17 22:09:58,951 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,951 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,952 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,952 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/bn/batchnorm/add_1
[ 2019-03-17 22:09:58,952 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,952 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,953 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,957 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [128], value = [ 0.03457135 -0.00338286  0.0029945   0.00918203 -0.01435596  0.01305742
  0.02449914 -0.00520663...
[ 2019-03-17 22:09:58,957 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,957 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,958 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,958 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_2/Relu
[ 2019-03-17 22:09:58,958 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-03-17 22:09:58,958 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,959 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,959 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,959 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,960 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,960 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/conv1d/ExpandDims
[ 2019-03-17 22:09:58,960 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:58,960 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,961 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,961 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,961 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,962 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,962 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/conv1d/Conv2D
[ 2019-03-17 22:09:58,962 ] [ DEBUG ] [ infer:152 ]  Op: Conv2D
[ 2019-03-17 22:09:58,964 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,964 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 128], value = <UNKNOWN>
[ 2019-03-17 22:09:58,968 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1   3 128 256], value = [[[[ 0.05045054  0.05083888  0.02092816 ... -0.03865567 -0.14738685
    -0.07135887]
   [ 0.00710...
[ 2019-03-17 22:09:58,969 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,969 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:58,972 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,973 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/conv1d/Squeeze
[ 2019-03-17 22:09:58,973 ] [ DEBUG ] [ infer:152 ]  Op: Squeeze
[ 2019-03-17 22:09:58,974 ] [ DEBUG ] [ squeeze:43 ]  The reshape from "[  1   1  30 256]" with squeezed dims "[  1  30 256]" is not a spatial squeeze
[ 2019-03-17 22:09:58,975 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,975 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:58,975 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,976 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:58,976 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,977 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/cov/BiasAdd
[ 2019-03-17 22:09:58,977 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,977 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,984 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [ 1.12529919e-02  2.01415345e-02  9.55318753e-03  4.63739149e-02
 -5.92489168e-03  1.75937712e-02...
[ 2019-03-17 22:09:58,985 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:58,985 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,985 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:58,986 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,986 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/mul_1
[ 2019-03-17 22:09:58,986 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:58,987 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,987 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:58,993 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [1.0000055  1.021836   1.0001596  1.0048057  0.9993973  0.99963695
 1.000591   0.9985747  0.99951...
[ 2019-03-17 22:09:58,993 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:58,994 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:58,994 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:58,994 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/bn/batchnorm/add_1
[ 2019-03-17 22:09:58,994 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:58,995 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:58,995 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,002 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [ 1.12557262e-02  1.98826529e-02  9.55713633e-03  4.63132225e-02
 -5.92820998e-03  1.76003464e-02...
[ 2019-03-17 22:09:59,002 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,003 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,003 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,004 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_3/Relu
[ 2019-03-17 22:09:59,004 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-03-17 22:09:59,004 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,005 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,005 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,005 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,006 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,006 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/conv1d/ExpandDims
[ 2019-03-17 22:09:59,006 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:59,007 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,007 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,007 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,008 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,008 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,008 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/conv1d/Conv2D
[ 2019-03-17 22:09:59,008 ] [ DEBUG ] [ infer:152 ]  Op: Conv2D
[ 2019-03-17 22:09:59,010 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,011 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,014 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1   3 256 512], value = [[[[-0.00075483 -0.00761538  0.02321353 ...  0.08803348 -0.06521032
    -0.06899805]
   [ 0.03653...
[ 2019-03-17 22:09:59,014 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,015 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,015 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,015 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/conv1d/Squeeze
[ 2019-03-17 22:09:59,015 ] [ DEBUG ] [ infer:152 ]  Op: Squeeze
[ 2019-03-17 22:09:59,016 ] [ DEBUG ] [ squeeze:43 ]  The reshape from "[  1   1  30 512]" with squeezed dims "[  1  30 512]" is not a spatial squeeze
[ 2019-03-17 22:09:59,016 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,017 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,017 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,017 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,018 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,018 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/cov/BiasAdd
[ 2019-03-17 22:09:59,018 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,018 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,033 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [-5.32235624e-03 -3.40969069e-03  8.59346939e-04 -1.87482859e-03
  9.48017405e-04 -4.33015497e-03...
[ 2019-03-17 22:09:59,034 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,034 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,034 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,035 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,035 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/mul_1
[ 2019-03-17 22:09:59,035 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:59,035 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,036 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,048 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0.99942154 1.0013876  0.99854714 0.99955165 1.0042635  0.99940354
 0.99940854 0.9983262  1.00224...
[ 2019-03-17 22:09:59,048 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,049 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,049 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,050 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/bn/batchnorm/add_1
[ 2019-03-17 22:09:59,050 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,050 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,050 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,063 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [-5.32524893e-03 -3.41834291e-03  8.63424037e-04 -1.87578250e-03
  9.49341280e-04 -4.33250470e-03...
[ 2019-03-17 22:09:59,064 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,064 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,064 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,065 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/motion/conblock_4/Relu
[ 2019-03-17 22:09:59,065 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-03-17 22:09:59,065 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,066 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,066 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,067 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,067 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,067 ] [ DEBUG ] [ infer:151 ]  Partial infer for input1
[ 2019-03-17 22:09:59,067 ] [ DEBUG ] [ infer:152 ]  Op: Placeholder
[ 2019-03-17 22:09:59,068 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,068 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,068 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 182], value = <UNKNOWN>
[ 2019-03-17 22:09:59,069 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,069 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims
[ 2019-03-17 22:09:59,069 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:59,069 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,070 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 182], value = <UNKNOWN>
[ 2019-03-17 22:09:59,070 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,070 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 182], value = <UNKNOWN>
[ 2019-03-17 22:09:59,071 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,071 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/conv1d/Conv2D
[ 2019-03-17 22:09:59,071 ] [ DEBUG ] [ infer:152 ]  Op: Conv2D
[ 2019-03-17 22:09:59,073 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,073 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 182], value = <UNKNOWN>
[ 2019-03-17 22:09:59,076 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1   3 182 256], value = [[[[ 0.10378325  0.01596859 -0.05274214 ...  0.07833526 -0.05113211
    -0.050156  ]
   [ 0.02837...
[ 2019-03-17 22:09:59,077 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,077 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,077 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,078 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/conv1d/Squeeze
[ 2019-03-17 22:09:59,078 ] [ DEBUG ] [ infer:152 ]  Op: Squeeze
[ 2019-03-17 22:09:59,078 ] [ DEBUG ] [ squeeze:43 ]  The reshape from "[  1   1  30 256]" with squeezed dims "[  1  30 256]" is not a spatial squeeze
[ 2019-03-17 22:09:59,079 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,079 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,079 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,080 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,080 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,080 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/cov/BiasAdd
[ 2019-03-17 22:09:59,080 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,081 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,088 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [ 3.97014339e-03 -1.03658428e-02 -1.96596421e-02  7.17372261e-03
  4.47784411e-03  1.59283429e-02...
[ 2019-03-17 22:09:59,088 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,088 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,089 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,089 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,089 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/mul_1
[ 2019-03-17 22:09:59,089 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:59,089 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,090 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,096 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [1.0162165  0.99808544 1.0480229  1.0158528  1.0306517  1.0103843
 1.0158751  0.99325335 0.991403...
[ 2019-03-17 22:09:59,096 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,097 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,097 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,098 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/bn/batchnorm/add_1
[ 2019-03-17 22:09:59,098 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,098 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,099 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,109 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [256], value = [ 3.95187829e-03 -9.82402544e-03 -1.87268723e-02  7.15974765e-03
  4.58617788e-03  1.59223359e-02...
[ 2019-03-17 22:09:59,109 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,109 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,110 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,110 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_1/Relu
[ 2019-03-17 22:09:59,110 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-03-17 22:09:59,111 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,111 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,112 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,112 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,113 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,113 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims
[ 2019-03-17 22:09:59,113 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:59,113 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,114 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,114 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,115 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,115 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,115 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/conv1d/Conv2D
[ 2019-03-17 22:09:59,115 ] [ DEBUG ] [ infer:152 ]  Op: Conv2D
[ 2019-03-17 22:09:59,118 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,118 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 256], value = <UNKNOWN>
[ 2019-03-17 22:09:59,123 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1   3 256 512], value = [[[[-3.21085914e-03 -2.21884232e-02 -8.55684727e-02 ... -1.63935199e-02
     1.23029929e-02 -6.21...
[ 2019-03-17 22:09:59,123 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,123 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,124 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,124 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/conv1d/Squeeze
[ 2019-03-17 22:09:59,124 ] [ DEBUG ] [ infer:152 ]  Op: Squeeze
[ 2019-03-17 22:09:59,125 ] [ DEBUG ] [ squeeze:43 ]  The reshape from "[  1   1  30 512]" with squeezed dims "[  1  30 512]" is not a spatial squeeze
[ 2019-03-17 22:09:59,125 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,125 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,126 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,126 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,126 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,127 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/cov/BiasAdd
[ 2019-03-17 22:09:59,127 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,127 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,144 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [ 1.11946207e-03 -2.37401924e-03 -7.16306688e-03 -2.47903494e-03
  3.83454352e-03 -3.67252529e-03...
[ 2019-03-17 22:09:59,144 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,144 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,145 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,145 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,145 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/mul_1
[ 2019-03-17 22:09:59,146 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:59,146 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,147 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,160 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [0.9999604  1.0020311  1.0012498  1.0047294  1.0061911  1.001517
 0.99903464 1.009257   1.0086752...
[ 2019-03-17 22:09:59,160 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,161 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,161 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,161 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/bn/batchnorm/add_1
[ 2019-03-17 22:09:59,162 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,162 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,163 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,179 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [ 1.1206801e-03 -2.3367635e-03 -7.1355500e-03 -2.4223847e-03
  3.8753857e-03 -3.6522618e-03 -1.96...
[ 2019-03-17 22:09:59,179 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,180 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,180 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,180 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_2/Relu
[ 2019-03-17 22:09:59,180 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-03-17 22:09:59,181 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,181 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,181 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,182 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,182 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,182 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims
[ 2019-03-17 22:09:59,182 ] [ DEBUG ] [ infer:152 ]  Op: ExpandDims
[ 2019-03-17 22:09:59,183 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,183 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,183 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,184 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,184 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,184 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/conv1d/Conv2D
[ 2019-03-17 22:09:59,184 ] [ DEBUG ] [ infer:152 ]  Op: Conv2D
[ 2019-03-17 22:09:59,187 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,187 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,191 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1   3 512 512], value = [[[[ 7.0989966e-02 -5.0314654e-02 -6.5823540e-02 ... -2.6750781e-03
     2.6358338e-02 -2.6148457...
[ 2019-03-17 22:09:59,191 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,191 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,192 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,192 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/conv1d/Squeeze
[ 2019-03-17 22:09:59,192 ] [ DEBUG ] [ infer:152 ]  Op: Squeeze
[ 2019-03-17 22:09:59,193 ] [ DEBUG ] [ squeeze:43 ]  The reshape from "[  1   1  30 512]" with squeezed dims "[  1  30 512]" is not a spatial squeeze
[ 2019-03-17 22:09:59,193 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,193 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1   1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,194 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,194 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,194 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,194 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/cov/BiasAdd
[ 2019-03-17 22:09:59,195 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,195 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,212 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [-8.40652036e-04 -7.68809207e-03  2.11746455e-03 -1.09434035e-02
 -3.32584139e-03 -1.10903960e-02...
[ 2019-03-17 22:09:59,213 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,213 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,214 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,214 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,214 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/mul_1
[ 2019-03-17 22:09:59,214 ] [ DEBUG ] [ infer:152 ]  Op: Mul
[ 2019-03-17 22:09:59,215 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,215 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,227 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [1.0074594  1.0055478  1.0068562  1.0034767  1.0010344  1.0152304
 1.0065807  1.0231463  0.999278...
[ 2019-03-17 22:09:59,228 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,228 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,229 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,229 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/bn/batchnorm/add_1
[ 2019-03-17 22:09:59,229 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,229 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,230 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,243 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [512], value = [-7.80042727e-04 -7.66557734e-03  2.13933340e-03 -1.08347991e-02
 -3.28366039e-03 -1.10146878e-02...
[ 2019-03-17 22:09:59,244 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,244 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,244 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,245 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/geo/conblock_3/Relu
[ 2019-03-17 22:09:59,245 ] [ DEBUG ] [ infer:152 ]  Op: Relu
[ 2019-03-17 22:09:59,245 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,246 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,246 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,246 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,246 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,247 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/Add
[ 2019-03-17 22:09:59,247 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,247 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,248 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,248 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,248 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,248 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,249 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,249 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/transpose
[ 2019-03-17 22:09:59,249 ] [ DEBUG ] [ infer:152 ]  Op: Transpose
[ 2019-03-17 22:09:59,250 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,250 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,250 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,251 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 30   1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,251 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,251 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3
[ 2019-03-17 22:09:59,251 ] [ DEBUG ] [ infer:152 ]  Op: TensorArrayScatterV3
[ 2019-03-17 22:09:59,252 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,252 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [ 30   1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,252 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray_1/Output_0/Data_
[ 2019-03-17 22:09:59,253 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,253 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [30], value = [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
 24 25 26 27 28 29]
[ 2019-03-17 22:09:59,253 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,254 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,254 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,254 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/Enter_1
[ 2019-03-17 22:09:59,254 ] [ DEBUG ] [ infer:152 ]  Op: Enter
[ 2019-03-17 22:09:59,255 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,255 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,255 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,255 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,256 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,256 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3
[ 2019-03-17 22:09:59,256 ] [ DEBUG ] [ infer:152 ]  Op: TensorArrayReadV3
[ 2019-03-17 22:09:59,257 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,257 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,257 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray_1/Output_0/Data_
[ 2019-03-17 22:09:59,257 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,257 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,258 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,258 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,258 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/LSTMCell
[ 2019-03-17 22:09:59,258 ] [ DEBUG ] [ infer:152 ]  Op: LSTMCell
[ 2019-03-17 22:09:59,261 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,261 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,261 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,262 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,262 ] [ DEBUG ] [ infer:40 ]  input[5]: shape = [], value = 1
[ 2019-03-17 22:09:59,264 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:59,264 ] [ DEBUG ] [ infer:40 ]  input[4]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:59,265 ] [ DEBUG ] [ infer:40 ]  input[6]: shape = [], value = 1
[ 2019-03-17 22:09:59,265 ] [ DEBUG ] [ infer:40 ]  input[7]: shape = [], value = 1.0
[ 2019-03-17 22:09:59,265 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,265 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,266 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,266 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,266 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_3
[ 2019-03-17 22:09:59,266 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:59,267 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,267 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,267 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,267 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,268 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,268 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/LSTMCell
[ 2019-03-17 22:09:59,268 ] [ DEBUG ] [ infer:152 ]  Op: LSTMCell
[ 2019-03-17 22:09:59,271 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,271 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,272 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,274 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:59,274 ] [ DEBUG ] [ infer:40 ]  input[4]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:59,275 ] [ DEBUG ] [ infer:40 ]  input[5]: shape = [], value = 1
[ 2019-03-17 22:09:59,275 ] [ DEBUG ] [ infer:40 ]  input[6]: shape = [], value = 1
[ 2019-03-17 22:09:59,275 ] [ DEBUG ] [ infer:40 ]  input[7]: shape = [], value = 1.0
[ 2019-03-17 22:09:59,275 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,275 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,276 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,276 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,277 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,277 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_5
[ 2019-03-17 22:09:59,277 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:59,277 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,278 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,278 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,278 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,279 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,279 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/LSTMCell
[ 2019-03-17 22:09:59,279 ] [ DEBUG ] [ infer:152 ]  Op: LSTMCell
[ 2019-03-17 22:09:59,281 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,282 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,282 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,283 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [1024 2048], value = [[ 0.01566458  0.02684669 -0.01590733 ...  0.05444227  0.03510743
  -0.01613005]
 [-0.04275664  0...
[ 2019-03-17 22:09:59,284 ] [ DEBUG ] [ infer:40 ]  input[4]: shape = [2048], value = [-0.0019465  -0.00394747 -0.0043961  ... -0.00155008 -0.00426906
 -0.00050209]
[ 2019-03-17 22:09:59,284 ] [ DEBUG ] [ infer:40 ]  input[5]: shape = [], value = 1
[ 2019-03-17 22:09:59,284 ] [ DEBUG ] [ infer:40 ]  input[6]: shape = [], value = 1
[ 2019-03-17 22:09:59,285 ] [ DEBUG ] [ infer:40 ]  input[7]: shape = [], value = 1.0
[ 2019-03-17 22:09:59,285 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,285 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,286 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,286 ] [ DEBUG ] [ infer:40 ]  output[1]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,286 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,286 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_7
[ 2019-03-17 22:09:59,287 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:59,287 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,287 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,287 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,288 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,288 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,288 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_8
[ 2019-03-17 22:09:59,288 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:59,289 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,289 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,289 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,290 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,290 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,290 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/TensorArrayWrite/TensorArrayWriteV3
[ 2019-03-17 22:09:59,290 ] [ DEBUG ] [ infer:152 ]  Op: TensorArrayWriteV3
[ 2019-03-17 22:09:59,291 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,291 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,291 ] [ DEBUG ] [ infer:40 ]  input[3]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,292 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray/Output_0/Data_
[ 2019-03-17 22:09:59,292 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,292 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,292 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,293 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,293 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_2
[ 2019-03-17 22:09:59,293 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:59,293 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,294 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,294 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,294 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,295 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,295 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_6
[ 2019-03-17 22:09:59,295 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:59,295 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,296 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,296 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,296 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,297 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,297 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/NextIteration_4
[ 2019-03-17 22:09:59,297 ] [ DEBUG ] [ infer:152 ]  Op: NextIteration
[ 2019-03-17 22:09:59,297 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,298 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,298 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,298 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,298 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,299 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/while/Exit_2
[ 2019-03-17 22:09:59,299 ] [ DEBUG ] [ infer:152 ]  Op: Exit
[ 2019-03-17 22:09:59,299 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,300 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,300 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,300 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,300 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,301 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayStack/TensorArraySizeV3
[ 2019-03-17 22:09:59,301 ] [ DEBUG ] [ infer:152 ]  Op: TensorArraySizeV3
[ 2019-03-17 22:09:59,301 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,301 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray/Output_0/Data_
[ 2019-03-17 22:09:59,302 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,302 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,302 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [], value = 30
[ 2019-03-17 22:09:59,302 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,303 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayStack/range
[ 2019-03-17 22:09:59,303 ] [ DEBUG ] [ infer:152 ]  Op: Range
[ 2019-03-17 22:09:59,303 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,304 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [], value = 30
[ 2019-03-17 22:09:59,304 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = 0
[ 2019-03-17 22:09:59,304 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [], value = 1
[ 2019-03-17 22:09:59,304 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,305 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [30], value = [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
 24 25 26 27 28 29]
[ 2019-03-17 22:09:59,305 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,306 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/TensorArrayStack/TensorArrayGatherV3
[ 2019-03-17 22:09:59,306 ] [ DEBUG ] [ infer:152 ]  Op: TensorArrayGatherV3
[ 2019-03-17 22:09:59,306 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,307 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [], value = spatial_temporal_network/rnn_net/rnn/TensorArray/Output_0/Data_
[ 2019-03-17 22:09:59,307 ] [ DEBUG ] [ infer:40 ]  input[2]: shape = [], value = <UNKNOWN>
[ 2019-03-17 22:09:59,307 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [30], value = [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
 24 25 26 27 28 29]
[ 2019-03-17 22:09:59,308 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,308 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [ 30   1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,309 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,309 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/rnn_net/rnn/transpose_1
[ 2019-03-17 22:09:59,309 ] [ DEBUG ] [ infer:152 ]  Op: Transpose
[ 2019-03-17 22:09:59,310 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,310 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [ 30   1 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,310 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,311 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,311 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,311 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/flatten/Reshape
[ 2019-03-17 22:09:59,312 ] [ DEBUG ] [ infer:152 ]  Op: Reshape
[ 2019-03-17 22:09:59,313 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,313 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [  1  30 512], value = <UNKNOWN>
[ 2019-03-17 22:09:59,314 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [2], value = [ 1 -1]
[ 2019-03-17 22:09:59,314 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,314 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [    1 15360], value = <UNKNOWN>
[ 2019-03-17 22:09:59,315 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,315 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/dense/MatMul
[ 2019-03-17 22:09:59,315 ] [ DEBUG ] [ infer:152 ]  Op: MatMul
[ 2019-03-17 22:09:59,316 ] [ DEBUG ] [ matmul:30 ]  matmul shapes: [array([    1, 15360]), array([15360,     7])]
[ 2019-03-17 22:09:59,316 ] [ DEBUG ] [ matmul:74 ]  shape_tuple: (array([1]), array([7]))
[ 2019-03-17 22:09:59,317 ] [ DEBUG ] [ matmul:77 ]  matmul shape: [1 7]
[ 2019-03-17 22:09:59,317 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,317 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [    1 15360], value = <UNKNOWN>
[ 2019-03-17 22:09:59,319 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [15360     7], value = [[ 0.00754917 -0.00470051 -0.01742837 ...  0.00815568 -0.01912938
  -0.00964213]
 [-0.000457   -0...
[ 2019-03-17 22:09:59,319 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,320 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1 7], value = <UNKNOWN>
[ 2019-03-17 22:09:59,320 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,320 ] [ DEBUG ] [ infer:151 ]  Partial infer for spatial_temporal_network/dense/BiasAdd
[ 2019-03-17 22:09:59,320 ] [ DEBUG ] [ infer:152 ]  Op: Add
[ 2019-03-17 22:09:59,321 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,321 ] [ DEBUG ] [ infer:40 ]  input[1]: shape = [7], value = [ 0.14485614  0.17269324 -0.0195503  -0.10251361 -0.04668584 -0.12757407
 -0.0212258 ]
[ 2019-03-17 22:09:59,323 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1 7], value = <UNKNOWN>
[ 2019-03-17 22:09:59,323 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,323 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1 7], value = <UNKNOWN>
[ 2019-03-17 22:09:59,324 ] [ DEBUG ] [ infer:150 ]  --------------------
[ 2019-03-17 22:09:59,324 ] [ DEBUG ] [ infer:151 ]  Partial infer for output
[ 2019-03-17 22:09:59,324 ] [ DEBUG ] [ infer:152 ]  Op: SoftMax
[ 2019-03-17 22:09:59,324 ] [ DEBUG ] [ infer:163 ]  Inputs:
[ 2019-03-17 22:09:59,325 ] [ DEBUG ] [ infer:40 ]  input[0]: shape = [1 7], value = <UNKNOWN>
[ 2019-03-17 22:09:59,325 ] [ DEBUG ] [ infer:165 ]  Outputs:
[ 2019-03-17 22:09:59,325 ] [ DEBUG ] [ infer:40 ]  output[0]: shape = [1 7], value = <UNKNOWN>
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/add/y
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/axis
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split/split_dim
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add/y
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/axis
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1/split_dim
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_2/y
[ 2019-03-17 22:09:59,336 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/axis
[ 2019-03-17 22:09:59,337 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2/split_dim
[ 2019-03-17 22:09:59,337 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_4/y
[ 2019-03-17 22:09:59,337 ] [ DEBUG ] [ infer:94 ]  Removing control flow edge from spatial_temporal_network/rnn_net/rnn/while/Identity/Output_0/Data_ to spatial_temporal_network/rnn_net/rnn/while/add_1/y
[ 2019-03-17 22:09:59,533 ] [ DEBUG ] [ TensorIteratorInput:119 ]  ================== SmartInputFind ===============
[ WARNING ]  You network cannot be reshaped since shapes of placeholders is a contants.Please, provide non-constant shapes. 
[ 2019-03-17 22:09:59,535 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorInput', 'axis': 0, 'start': 0, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorInput.input_infer at 0x7f708959a8c8>, 'external_port_id': 'spatial_temporal_network/rnn_net/rnn/TensorArray_1/Output_0/Data_', 'internal_layer_id': 'spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/Output_0/Data_', 'name': 'spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/TensorIteratorInput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088c05730>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:09:59,535 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:09:59,624 ] [ DEBUG ] [ TensorIteratorOutput:125 ]  ================== SmartOutputFind ===============
[ 2019-03-17 22:09:59,625 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorOutput', 'axis': 0, 'start': None, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorOutput.input_infer at 0x7f708959aa60>, 'external_port_id': 'spatial_temporal_network/rnn_net/rnn/TensorArray/Output_0/Data_', 'internal_layer_id': 'spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/LSTMCell/Output_0/Data_', 'name': 'spatial_temporal_network/rnn_net/rnn/while/TensorArrayWrite/TensorArrayWriteV3/TensorIteratorOutput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088c4b840>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:09:59,626 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/TensorArrayStack/TensorArrayGatherV3/Output_0/Data_', 'kind': 'data', 'shape': array([ 30,   1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/TensorArrayStack/TensorArrayGatherV3', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:09:59,633 ] [ DEBUG ] [ TensorIteratorCondition:52 ]  +++++++++++++++ ConditionMatching ++++++++++++++++
[ 2019-03-17 22:09:59,819 ] [ DEBUG ] [ TensorIteratorCondition:172 ]  ================== ConditionFind ===============
[ 2019-03-17 22:09:59,821 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorCondition', 'infer': <function TensorIteratorCondition.input_infer at 0x7f708959abf8>, 'time': {'init': 0, 'step': 1}, 'iter': {'init': 0, 'step': 1}, 'name': 'spatial_temporal_network/rnn_net/rnn/while/LoopCond/TensorIteratorCondition_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088bdb158>), 'name', 'precision', 'type'], [('data', ['time', 'iter'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:09:59,822 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/LoopCond/Output_0/Data_', 'kind': 'data', 'shape': array([], dtype=float64), 'value': None, 'data_type': dtype('bool'), 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/LoopCond', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:09:59,822 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_1/Output_0/Data_', 'kind': 'data', 'shape': array([], dtype=int64), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/Identity_1', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:09:59,832 ] [ DEBUG ] [ TensorIteratorCondition:217 ]  +++++++++++++++ SimpleConditionMatching ++++++++++++++++
[ 2019-03-17 22:10:00,106 ] [ DEBUG ] [ TensorIteratorBackEdge:87 ]  ================== BackEdgeFind ===============
[ 2019-03-17 22:10:00,107 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorBackEdge', 'infer': <function TensorIteratorBackEdge.input_infer at 0x7f708959ad90>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_3/TensorIteratorBackEdge_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088be7510>), 'name', 'precision', 'type'], [('data', ['is_output'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,107 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_3/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/Identity_3', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:10:00,107 ] [ DEBUG ] [ TensorIteratorBackEdge:87 ]  ================== BackEdgeFind ===============
[ 2019-03-17 22:10:00,108 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorBackEdge', 'infer': <function TensorIteratorBackEdge.input_infer at 0x7f708959ad90>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_7/TensorIteratorBackEdge_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088be7400>), 'name', 'precision', 'type'], [('data', ['is_output'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,108 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_7/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/Identity_7', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:10:00,109 ] [ DEBUG ] [ TensorIteratorBackEdge:87 ]  ================== BackEdgeFind ===============
[ 2019-03-17 22:10:00,109 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorBackEdge', 'infer': <function TensorIteratorBackEdge.input_infer at 0x7f708959ad90>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_6/TensorIteratorBackEdge_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088c401e0>), 'name', 'precision', 'type'], [('data', ['is_output'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,110 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_6/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/Identity_6', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:10:00,110 ] [ DEBUG ] [ TensorIteratorBackEdge:87 ]  ================== BackEdgeFind ===============
[ 2019-03-17 22:10:00,111 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorBackEdge', 'infer': <function TensorIteratorBackEdge.input_infer at 0x7f708959ad90>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_4/TensorIteratorBackEdge_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088be5d90>), 'name', 'precision', 'type'], [('data', ['is_output'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,111 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_4/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/Identity_4', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:10:00,111 ] [ DEBUG ] [ TensorIteratorBackEdge:87 ]  ================== BackEdgeFind ===============
[ 2019-03-17 22:10:00,112 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorBackEdge', 'infer': <function TensorIteratorBackEdge.input_infer at 0x7f708959ad90>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_8/TensorIteratorBackEdge_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088be5ae8>), 'name', 'precision', 'type'], [('data', ['is_output'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,112 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_8/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/Identity_8', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:10:00,113 ] [ DEBUG ] [ TensorIteratorBackEdge:87 ]  ================== BackEdgeFind ===============
[ 2019-03-17 22:10:00,113 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorBackEdge', 'infer': <function TensorIteratorBackEdge.input_infer at 0x7f708959ad90>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_5/TensorIteratorBackEdge_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088be12f0>), 'name', 'precision', 'type'], [('data', ['is_output'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,114 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_5/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/Identity_5', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True}
[ 2019-03-17 22:10:00,119 ] [ DEBUG ] [ TensorIteratorConditionChecker:27 ]  +++++++++++++++ ConditionCheckerMatching ++++++++++++++++
[ 2019-03-17 22:10:00,183 ] [ DEBUG ] [ infer:86 ]  Removing the following not executable nodes: 
[ 2019-03-17 22:10:00,187 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/Output_0/Data_
[ 2019-03-17 22:10:00,295 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 412
412/Output_0/Data_
spatial_temporal_network/dense/bias
spatial_temporal_network/dense/bias/read
spatial_temporal_network/dense/kernel
spatial_temporal_network/dense/kernel/read
spatial_temporal_network/flatten/Reshape/shape/1
spatial_temporal_network/flatten/Reshape/shape/Concat_
spatial_temporal_network/flatten/Reshape/shape/ExpandDims_
spatial_temporal_network/flatten/Reshape/shape/ExpandDims_414
spatial_temporal_network/flatten/Shape
spatial_temporal_network/flatten/strided_slice
spatial_temporal_network/flatten/strided_slice/stack
spatial_temporal_network/flatten/strided_slice/stack_1
spatial_temporal_network/flatten/strided_slice/stack_2
spatial_temporal_network/geo/conblock_1/bn/batchnorm/Rsqrt
spatial_temporal_network/geo/conblock_1/bn/batchnorm/add
spatial_temporal_network/geo/conblock_1/bn/batchnorm/add/y
spatial_temporal_network/geo/conblock_1/bn/batchnorm/mul
spatial_temporal_network/geo/conblock_1/bn/batchnorm/mul_2
spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub/add_
spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub/negate_
spatial_temporal_network/geo/conblock_1/bn/beta
spatial_temporal_network/geo/conblock_1/bn/beta/read
spatial_temporal_network/geo/conblock_1/bn/gamma
spatial_temporal_network/geo/conblock_1/bn/gamma/read
spatial_temporal_network/geo/conblock_1/bn/moving_mean
spatial_temporal_network/geo/conblock_1/bn/moving_mean/read
spatial_temporal_network/geo/conblock_1/bn/moving_variance
spatial_temporal_network/geo/conblock_1/bn/moving_variance/read
spatial_temporal_network/geo/conblock_1/cov/bias
spatial_temporal_network/geo/conblock_1/cov/bias/read
spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims/dim
spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims/dim/Output_0/Data_
spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims_1
spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims_1/dim
spatial_temporal_network/geo/conblock_1/cov/conv1d/ExpandDims_1/dim/Output_0/Data_
spatial_temporal_network/geo/conblock_1/cov/kernel
spatial_temporal_network/geo/conblock_1/cov/kernel/read
spatial_temporal_network/geo/conblock_2/bn/batchnorm/Rsqrt
spatial_temporal_network/geo/conblock_2/bn/batchnorm/add
spatial_temporal_network/geo/conblock_2/bn/batchnorm/add/y
spatial_temporal_network/geo/conblock_2/bn/batchnorm/mul
spatial_temporal_network/geo/conblock_2/bn/batchnorm/mul_2
spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub/add_
spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub/negate_
spatial_temporal_network/geo/conblock_2/bn/beta
spatial_temporal_network/geo/conblock_2/bn/beta/read
spatial_temporal_network/geo/conblock_2/bn/gamma
spatial_temporal_network/geo/conblock_2/bn/gamma/read
spatial_temporal_network/geo/conblock_2/bn/moving_mean
spatial_temporal_network/geo/conblock_2/bn/moving_mean/read
spatial_temporal_network/geo/conblock_2/bn/moving_variance
spatial_temporal_network/geo/conblock_2/bn/moving_variance/read
spatial_temporal_network/geo/conblock_2/cov/bias
spatial_temporal_network/geo/conblock_2/cov/bias/read
spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims/dim
spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims/dim/Output_0/Data_
spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims_1
spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims_1/dim
spatial_temporal_network/geo/conblock_2/cov/conv1d/ExpandDims_1/dim/Output_0/Data_
spatial_temporal_network/geo/conblock_2/cov/kernel
spatial_temporal_network/geo/conblock_2/cov/kernel/read
spatial_temporal_network/geo/conblock_3/bn/batchnorm/Rsqrt
spatial_temporal_network/geo/conblock_3/bn/batchnorm/add
spatial_temporal_network/geo/conblock_3/bn/batchnorm/add/y
spatial_temporal_network/geo/conblock_3/bn/batchnorm/mul
spatial_temporal_network/geo/conblock_3/bn/batchnorm/mul_2
spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub/add_
spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub/negate_
spatial_temporal_network/geo/conblock_3/bn/beta
spatial_temporal_network/geo/conblock_3/bn/beta/read
spatial_temporal_network/geo/conblock_3/bn/gamma
spatial_temporal_network/geo/conblock_3/bn/gamma/read
spatial_temporal_network/geo/conblock_3/bn/moving_mean
spatial_temporal_network/geo/conblock_3/bn/moving_mean/read
spatial_temporal_network/geo/conblock_3/bn/moving_variance
spatial_temporal_network/geo/conblock_3/bn/moving_variance/read
spatial_temporal_network/geo/conblock_3/cov/bias
spatial_temporal_network/geo/conblock_3/cov/bias/read
spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims/dim
spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims/dim/Output_0/Data_
spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims_1
spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims_1/dim
spatial_temporal_network/geo/conblock_3/cov/conv1d/ExpandDims_1/dim/Output_0/Data_
spatial_temporal_network/geo/conblock_3/cov/kernel
spatial_temporal_network/geo/conblock_3/cov/kernel/read
spatial_temporal_network/motion/conblock_1/bn/batchnorm/Rsqrt
spatial_temporal_network/motion/conblock_1/bn/batchnorm/add
spatial_temporal_network/motion/conblock_1/bn/batchnorm/add/y
spatial_temporal_network/motion/conblock_1/bn/batchnorm/mul
spatial_temporal_network/motion/conblock_1/bn/batchnorm/mul_2
spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub/add_
spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub/negate_
spatial_temporal_network/motion/conblock_1/bn/beta
spatial_temporal_network/motion/conblock_1/bn/beta/read
spatial_temporal_network/motion/conblock_1/bn/gamma
spatial_temporal_network/motion/conblock_1/bn/gamma/read
spatial_temporal_network/motion/conblock_1/bn/moving_mean
spatial_temporal_network/motion/conblock_1/bn/moving_mean/read
spatial_temporal_network/motion/conblock_1/bn/moving_variance
spatial_temporal_network/motion/conblock_1/bn/moving_variance/read
spatial_temporal_network/motion/conblock_1/cov/bias
spatial_temporal_network/motion/conblock_1/cov/bias/read
spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims/dim
spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims/dim/Output_0/Data_
spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims_1
spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims_1/dim
spatial_temporal_network/motion/conblock_1/cov/conv1d/ExpandDims_1/dim/Output_0/Data_
spatial_temporal_network/motion/conblock_1/cov/kernel
spatial_temporal_network/motion/conblock_1/cov/kernel/read
spatial_temporal_network/motion/conblock_2/bn/batchnorm/Rsqrt
spatial_temporal_network/motion/conblock_2/bn/batchnorm/add
spatial_temporal_network/motion/conblock_2/bn/batchnorm/add/y
spatial_temporal_network/motion/conblock_2/bn/batchnorm/mul
spatial_temporal_network/motion/conblock_2/bn/batchnorm/mul_2
spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub/add_
spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub/negate_
spatial_temporal_network/motion/conblock_2/bn/beta
spatial_temporal_network/motion/conblock_2/bn/beta/read
spatial_temporal_network/motion/conblock_2/bn/gamma
spatial_temporal_network/motion/conblock_2/bn/gamma/read
spatial_temporal_network/motion/conblock_2/bn/moving_mean
spatial_temporal_network/motion/conblock_2/bn/moving_mean/read
spatial_temporal_network/motion/conblock_2/bn/moving_variance
spatial_temporal_network/motion/conblock_2/bn/moving_variance/read
spatial_temporal_network/motion/conblock_2/cov/bias
spatial_temporal_network/motion/conblock_2/cov/bias/read
spatial_temporal_network/motion/conblock_2/cov/conv1d/ExpandDims/dim
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spatial_temporal_network/motion/conblock_4/cov/kernel
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spatial_temporal_network/rnn_net/rnn/Maximum
spatial_temporal_network/rnn_net/rnn/Maximum/x
spatial_temporal_network/rnn_net/rnn/Minimum
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_1
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_4
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_5
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spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1/axis
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spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Const
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Const
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_1
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_4
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_5
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat
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spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Const
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_1
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_4
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_5
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat/axis
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat/axis/Output_0/Data_
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spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1/axis/Output_0/Data_
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spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Const
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Const
spatial_temporal_network/rnn_net/rnn/Rank
spatial_temporal_network/rnn_net/rnn/Rank/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/Rank_1
spatial_temporal_network/rnn_net/rnn/Rank_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/Shape
spatial_temporal_network/rnn_net/rnn/TensorArrayUnstack/Shape
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spatial_temporal_network/rnn_net/rnn/concat
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spatial_temporal_network/rnn_net/rnn/concat/values_0
spatial_temporal_network/rnn_net/rnn/concat/values_0/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/concat_2
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spatial_temporal_network/rnn_net/rnn/concat_2/axis
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spatial_temporal_network/rnn_net/rnn/concat_2/values_0
spatial_temporal_network/rnn_net/rnn/concat_2/values_0/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/bias
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/bias/read
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/kernel
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/kernel/read
spatial_temporal_network/rnn_net/rnn/range
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spatial_temporal_network/rnn_net/rnn/range/delta
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spatial_temporal_network/rnn_net/rnn/range/start
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spatial_temporal_network/rnn_net/rnn/range_1/delta
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spatial_temporal_network/rnn_net/rnn/strided_slice
spatial_temporal_network/rnn_net/rnn/strided_slice/stack
spatial_temporal_network/rnn_net/rnn/strided_slice/stack_1
spatial_temporal_network/rnn_net/rnn/strided_slice/stack_2
spatial_temporal_network/rnn_net/rnn/while/Enter_3
spatial_temporal_network/rnn_net/rnn/while/Enter_4
spatial_temporal_network/rnn_net/rnn/while/Enter_5
spatial_temporal_network/rnn_net/rnn/while/Enter_6
spatial_temporal_network/rnn_net/rnn/while/Enter_7
spatial_temporal_network/rnn_net/rnn/while/Enter_8
spatial_temporal_network/rnn_net/rnn/while/NextIteration/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/NextIteration_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/NextIteration_2/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/BiasAdd/Enter
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/MatMul/Enter
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add/y
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_2/y
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/add_4/y
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/axis
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/axis
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/axis
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split/split_dim
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_1/split_dim
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/split_2/split_dim
[ 2019-03-17 22:10:00,373 ] [ DEBUG ] [ TensorIteratorInput:207 ]  ================== SimpleBackEdgeInputFind ===============
[ 2019-03-17 22:10:00,374 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorInput', 'axis': None, 'start': None, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorInput.input_infer at 0x7f708959a8c8>, 'external_port_id': None, 'internal_layer_id': None, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_3/TensorIteratorBackEdge_/TensorIteratorInput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088bad9d8>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,374 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '863', 'value': None, 'shape': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride']}
[ 2019-03-17 22:10:00,374 ] [ DEBUG ] [ TensorIteratorInput:207 ]  ================== SimpleBackEdgeInputFind ===============
[ 2019-03-17 22:10:00,375 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorInput', 'axis': None, 'start': None, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorInput.input_infer at 0x7f708959a8c8>, 'external_port_id': None, 'internal_layer_id': None, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_8/TensorIteratorBackEdge_/TensorIteratorInput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d01d08>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,375 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '865', 'value': None, 'shape': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride']}
[ 2019-03-17 22:10:00,375 ] [ DEBUG ] [ TensorIteratorInput:207 ]  ================== SimpleBackEdgeInputFind ===============
[ 2019-03-17 22:10:00,376 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorInput', 'axis': None, 'start': None, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorInput.input_infer at 0x7f708959a8c8>, 'external_port_id': None, 'internal_layer_id': None, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_7/TensorIteratorBackEdge_/TensorIteratorInput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088c46378>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,376 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '867', 'value': None, 'shape': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride']}
[ 2019-03-17 22:10:00,376 ] [ DEBUG ] [ TensorIteratorInput:207 ]  ================== SimpleBackEdgeInputFind ===============
[ 2019-03-17 22:10:00,377 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorInput', 'axis': None, 'start': None, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorInput.input_infer at 0x7f708959a8c8>, 'external_port_id': None, 'internal_layer_id': None, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_6/TensorIteratorBackEdge_/TensorIteratorInput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088c46950>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,377 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '869', 'value': None, 'shape': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride']}
[ 2019-03-17 22:10:00,378 ] [ DEBUG ] [ TensorIteratorInput:207 ]  ================== SimpleBackEdgeInputFind ===============
[ 2019-03-17 22:10:00,378 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorInput', 'axis': None, 'start': None, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorInput.input_infer at 0x7f708959a8c8>, 'external_port_id': None, 'internal_layer_id': None, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_4/TensorIteratorBackEdge_/TensorIteratorInput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d23e18>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,378 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '871', 'value': None, 'shape': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride']}
[ 2019-03-17 22:10:00,379 ] [ DEBUG ] [ TensorIteratorInput:207 ]  ================== SimpleBackEdgeInputFind ===============
[ 2019-03-17 22:10:00,379 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'op': 'TensorIteratorInput', 'axis': None, 'start': None, 'end': None, 'stride': None, 'part_size': None, 'infer': <function TensorIteratorInput.input_infer at 0x7f708959a8c8>, 'external_port_id': None, 'internal_layer_id': None, 'name': 'spatial_temporal_network/rnn_net/rnn/while/Identity_5/TensorIteratorBackEdge_/TensorIteratorInput_', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d0ca60>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,380 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '873', 'value': None, 'shape': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride']}
[ 2019-03-17 22:10:00,435 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'type': 'Reshape', 'op': 'Reshape', 'infer': <function Reshape.__init__.<locals>.<lambda> at 0x7f7088d0cbf8>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/Output_0/Data_/InputSqueeze', 'dim': array([ -1, 512]), 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d01d08>), 'name', 'precision', 'type'], [('data', [('dim', <function Reshape.supported_attrs.<locals>.<lambda> at 0x7f7088d01c80>)], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,436 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/Output_0/Data_', 'kind': 'data', 'shape': array([  1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True, 'prev': 'spatial_temporal_network/rnn_net/rnn/while/TensorArrayReadV3/TensorIteratorInput_'}
[ 2019-03-17 22:10:00,437 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'type': 'Reshape', 'op': 'Reshape', 'infer': <function Reshape.__init__.<locals>.<lambda> at 0x7f7088ce8488>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/LSTMCell/Output_0/Data_/OutputUnsqueeze', 'dim': array([  1,  -1, 512]), 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088bdbd90>), 'name', 'precision', 'type'], [('data', [('dim', <function Reshape.supported_attrs.<locals>.<lambda> at 0x7f7088bdbea0>)], []), '@ports', '@consts'])]}
[ 2019-03-17 22:10:00,438 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'kind': 'data', 'precision': 'FP32', 'name': '877', 'value': None, 'shape': array([  1,   1, 512]), 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride']}
[ 2019-03-17 22:10:00,439 ] [ DEBUG ] [ op:195 ]  Start running infer function for individual op node with attributes: {'precision': 'FP32', 'kind': 'op', 'type': 'TensorIterator', 'op': 'TensorIterator', 'input_port_map': [{'external_port_id': 15, 'internal_layer_id': 16, 'internal_port_id': 17, 'axis': 0, 'stride': None, 'part_size': None, 'start': 0, 'end': None}, {'external_port_id': 18, 'internal_layer_id': 0, 'internal_port_id': 10, 'axis': None, 'stride': None, 'part_size': None, 'start': None, 'end': None}, {'external_port_id': 19, 'internal_layer_id': 0, 'internal_port_id': 2, 'axis': None, 'stride': None, 'part_size': None, 'start': None, 'end': None}, {'external_port_id': 20, 'internal_layer_id': 6, 'internal_port_id': 8, 'axis': None, 'stride': None, 'part_size': None, 'start': None, 'end': None}, {'external_port_id': 21, 'internal_layer_id': 6, 'internal_port_id': 14, 'axis': None, 'stride': None, 'part_size': None, 'start': None, 'end': None}, {'external_port_id': 22, 'internal_layer_id': 3, 'internal_port_id': 12, 'axis': None, 'stride': None, 'part_size': None, 'start': None, 'end': None}, {'external_port_id': 23, 'internal_layer_id': 3, 'internal_port_id': 5, 'axis': None, 'stride': None, 'part_size': None, 'start': None, 'end': None}], 'output_port_map': [{'external_port_id': 26, 'internal_layer_id': 24, 'internal_port_id': 25, 'axis': 0, 'stride': None, 'part_size': None, 'start': None, 'end': None}], 'back_edges': [{'from_layer': 0, 'from_port': 1, 'to_layer': 0, 'to_port': 2}, {'from_layer': 3, 'from_port': 4, 'to_layer': 3, 'to_port': 5}, {'from_layer': 6, 'from_port': 7, 'to_layer': 6, 'to_port': 8}, {'from_layer': 0, 'from_port': 9, 'to_layer': 0, 'to_port': 10}, {'from_layer': 3, 'from_port': 11, 'to_layer': 3, 'to_port': 12}, {'from_layer': 6, 'from_port': 13, 'to_layer': 6, 'to_port': 14}], 'body': <networkx.classes.multidigraph.MultiDiGraph object at 0x7f7088cfca90>, 'sub_graphs': ['body'], 'infer': <function TensorIterator.infer at 0x7f7089525b70>, 'name': 'spatial_temporal_network/rnn_net/rnn/while/LoopCond/TensorIteratorCondition_/TensorIterator', 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', <function TensorIterator.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d4c488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', ('port_map', [], [('@list', <function TensorIterator.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d4c378>, ('input', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'end', 'part_size'], [])), ('@list', <function TensorIterator.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d4c2f0>, ('output', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'end', 'part_size'], []))]), ('back_edges', [], [('@list', <function TensorIterator.substitute_ie_attrs.<locals>.<lambda> at 0x7f7088d4c268>, ('edge', [('from-layer', 'from_layer'), ('from-port', 'from_port'), ('to-layer', 'to_layer'), ('to-port', 'to_port')], []))]), ('body', [], [('@network', 'body')])])]}
[ 2019-03-17 22:10:00,440 ] [ DEBUG ] [ op:208 ]  Finished running infer function, data nodes attributes: {'name': 'spatial_temporal_network/rnn_net/rnn/TensorArrayStack/TensorArrayGatherV3/Output_0/Data_', 'kind': 'data', 'shape': array([ 30,   1, 512]), 'value': None, 'data_type': None, 'infer': None, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'fw_tensor_debug_info': [('spatial_temporal_network/rnn_net/rnn/TensorArrayStack/TensorArrayGatherV3', 0)], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': True, 'executable': True, 'prev': None}
[ 2019-03-17 22:10:00,460 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/Output_0/Data_
[ 2019-03-17 22:10:00,503 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: spatial_temporal_network/dense/bias/Output_0/Data_
spatial_temporal_network/dense/kernel/Output_0/Data_
spatial_temporal_network/flatten/Reshape/shape/1/Output_0/Data_
spatial_temporal_network/flatten/Reshape/shape/ExpandDims_/Output_0/Data_
spatial_temporal_network/flatten/Reshape/shape/ExpandDims_414/Output_0/Data_
spatial_temporal_network/flatten/Shape/Output_0/Data_
spatial_temporal_network/flatten/strided_slice/Output_0/Data_
spatial_temporal_network/flatten/strided_slice/stack/Output_0/Data_
spatial_temporal_network/flatten/strided_slice/stack_1/Output_0/Data_
spatial_temporal_network/flatten/strided_slice/stack_2/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/batchnorm/Rsqrt/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/batchnorm/add/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/batchnorm/add/y/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/batchnorm/mul_2/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/batchnorm/sub/negate_/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/beta/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/beta/read/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/gamma/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/gamma/read/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/moving_mean/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/moving_mean/read/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/moving_variance/Output_0/Data_
spatial_temporal_network/geo/conblock_1/bn/moving_variance/read/Output_0/Data_
spatial_temporal_network/geo/conblock_1/cov/bias/Output_0/Data_
spatial_temporal_network/geo/conblock_1/cov/kernel/Output_0/Data_
spatial_temporal_network/geo/conblock_1/cov/kernel/read/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/batchnorm/Rsqrt/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/batchnorm/add/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/batchnorm/add/y/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/batchnorm/mul_2/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/batchnorm/sub/negate_/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/beta/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/beta/read/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/gamma/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/gamma/read/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/moving_mean/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/moving_mean/read/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/moving_variance/Output_0/Data_
spatial_temporal_network/geo/conblock_2/bn/moving_variance/read/Output_0/Data_
spatial_temporal_network/geo/conblock_2/cov/bias/Output_0/Data_
spatial_temporal_network/geo/conblock_2/cov/kernel/Output_0/Data_
spatial_temporal_network/geo/conblock_2/cov/kernel/read/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/batchnorm/Rsqrt/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/batchnorm/add/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/batchnorm/add/y/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/batchnorm/mul_2/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/batchnorm/sub/negate_/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/beta/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/beta/read/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/gamma/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/gamma/read/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/moving_mean/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/moving_mean/read/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/moving_variance/Output_0/Data_
spatial_temporal_network/geo/conblock_3/bn/moving_variance/read/Output_0/Data_
spatial_temporal_network/geo/conblock_3/cov/bias/Output_0/Data_
spatial_temporal_network/geo/conblock_3/cov/kernel/Output_0/Data_
spatial_temporal_network/geo/conblock_3/cov/kernel/read/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/batchnorm/Rsqrt/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/batchnorm/add/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/batchnorm/add/y/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/batchnorm/mul_2/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/batchnorm/sub/negate_/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/beta/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/beta/read/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/gamma/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/gamma/read/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/moving_mean/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/moving_mean/read/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/moving_variance/Output_0/Data_
spatial_temporal_network/motion/conblock_1/bn/moving_variance/read/Output_0/Data_
spatial_temporal_network/motion/conblock_1/cov/bias/Output_0/Data_
spatial_temporal_network/motion/conblock_1/cov/kernel/Output_0/Data_
spatial_temporal_network/motion/conblock_1/cov/kernel/read/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/batchnorm/Rsqrt/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/batchnorm/add/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/batchnorm/add/y/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/batchnorm/mul_2/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/batchnorm/sub/negate_/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/beta/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/beta/read/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/gamma/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/gamma/read/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/moving_mean/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/moving_mean/read/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/moving_variance/Output_0/Data_
spatial_temporal_network/motion/conblock_2/bn/moving_variance/read/Output_0/Data_
spatial_temporal_network/motion/conblock_2/cov/bias/Output_0/Data_
spatial_temporal_network/motion/conblock_2/cov/kernel/Output_0/Data_
spatial_temporal_network/motion/conblock_2/cov/kernel/read/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/batchnorm/Rsqrt/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/batchnorm/add/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/batchnorm/add/y/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/batchnorm/mul_2/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/batchnorm/sub/negate_/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/beta/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/beta/read/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/gamma/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/gamma/read/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/moving_mean/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/moving_mean/read/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/moving_variance/Output_0/Data_
spatial_temporal_network/motion/conblock_3/bn/moving_variance/read/Output_0/Data_
spatial_temporal_network/motion/conblock_3/cov/bias/Output_0/Data_
spatial_temporal_network/motion/conblock_3/cov/kernel/Output_0/Data_
spatial_temporal_network/motion/conblock_3/cov/kernel/read/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/batchnorm/Rsqrt/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/batchnorm/add/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/batchnorm/add/y/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/batchnorm/mul_2/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/batchnorm/sub/negate_/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/beta/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/beta/read/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/gamma/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/gamma/read/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/moving_mean/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/moving_mean/read/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/moving_variance/Output_0/Data_
spatial_temporal_network/motion/conblock_4/bn/moving_variance/read/Output_0/Data_
spatial_temporal_network/motion/conblock_4/cov/bias/Output_0/Data_
spatial_temporal_network/motion/conblock_4/cov/kernel/Output_0/Data_
spatial_temporal_network/motion/conblock_4/cov/kernel/read/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/Maximum/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/Maximum/x/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/Minimum/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_4/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/Const_5/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/concat_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState/zeros_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_4/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/Const_5/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/concat_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_1/zeros_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_4/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/Const_5/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/concat_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Const/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/MultiRNNCellZeroState/LSTMCellZeroState_2/zeros_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/Shape/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/bias/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/bias/read/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/kernel/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/multi_rnn_cell/cell_0/lstm_cell/kernel/read/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/strided_slice/stack/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/strided_slice/stack_1/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/strided_slice/stack_2/Output_0/Data_
[ 2019-03-17 22:10:00,506 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
877
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/LSTMCell/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/LSTMCell/Output_1/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/LSTMCell/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/LSTMCell/Output_1/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/LSTMCell/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/LSTMCell/Output_1/Data_
[ 2019-03-17 22:10:00,513 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:10:00,525 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/Output_0/Data_
[ 2019-03-17 22:10:00,554 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:10:00,564 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/Output_0/Data_
[ 2019-03-17 22:10:00,591 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:10:00,659 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/Output_0/Data_
[ 2019-03-17 22:10:00,688 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:10:00,689 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
877
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/LSTMCell/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat/LSTMCell/Output_1/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/LSTMCell/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_1/LSTMCell/Output_1/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/LSTMCell/Output_0/Data_
spatial_temporal_network/rnn_net/rnn/while/rnn/multi_rnn_cell/cell_0/lstm_cell/concat_2/LSTMCell/Output_1/Data_
[ 2019-03-17 22:10:00,696 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:10:00,718 ] [ DEBUG ] [ eliminate:64 ]  The following nodes are seeded as output reachable:
output/Output_0/Data_
[ 2019-03-17 22:10:00,746 ] [ DEBUG ] [ eliminate:130 ]  Removing the following dead nodes: 
[ 2019-03-17 22:10:00,795 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> will be run after <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ 2019-03-17 22:10:00,795 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.GemmResolver.GemmResolver'> will be run before <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'>
[ 2019-03-17 22:10:00,795 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2019-03-17 22:10:00,796 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run before <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ 2019-03-17 22:10:00,796 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2019-03-17 22:10:00,796 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'> will be run before <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'>
[ 2019-03-17 22:10:00,796 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'> will be run after <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ 2019-03-17 22:10:00,796 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'> will be run after <class 'extensions.middle.decompose_bi_lstm.DecomposeBiLSTM'>
[ 2019-03-17 22:10:00,796 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-03-17 22:10:00,796 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> will be run after <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ 2019-03-17 22:10:00,797 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'> will be run after <class 'extensions.middle.mxnet_lstm_sequence_normalize.MXNetLSTMSequenceNormalize'>
[ 2019-03-17 22:10:00,797 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-03-17 22:10:00,797 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run before <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ 2019-03-17 22:10:00,797 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> will be run after <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ 2019-03-17 22:10:00,797 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-03-17 22:10:00,797 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.ShufflenetReshape.ReshapeSoftmaxReshape'>
[ 2019-03-17 22:10:00,798 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.PixelLinkReshape.PixelLinkReshape'> will be run before <class 'extensions.middle.AddReshapeAfterStridedSlice.AddReshapeAfterStridedSlice'>
[ 2019-03-17 22:10:00,798 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> will be run after <class 'extensions.middle.ShufflenetReshape.FeatureShuffleReshape'>
[ 2019-03-17 22:10:00,798 ] [ DEBUG ] [ class_registration:88 ]  Replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> will be run before <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-03-17 22:10:00,798 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'> will be run after <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ 2019-03-17 22:10:00,798 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-03-17 22:10:00,798 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ 2019-03-17 22:10:00,798 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ 2019-03-17 22:10:00,799 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-03-17 22:10:00,799 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'> will be run after <class 'extensions.middle.decompose_bi_lstm.DecomposeBiLSTM'>
[ 2019-03-17 22:10:00,799 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2019-03-17 22:10:00,799 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_normalize.LSTMSequenceNormalize'>
[ 2019-03-17 22:10:00,799 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.lstm_sequence_tensor_iterator.LSTMSequenceTensorIterator'>
[ 2019-03-17 22:10:00,799 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.FusePermutesSequence.FusePermutesSequence'>
[ 2019-03-17 22:10:00,799 ] [ DEBUG ] [ class_registration:91 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.permute_tensor_iterator.PermuteTensorIteratorLSTM'>
[ 2019-03-17 22:10:00,800 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.Reduce.ReduceReplacer'>
[ 2019-03-17 22:10:00,819 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'>
[ 2019-03-17 22:10:00,840 ] [ DEBUG ] [ class_registration:111 ]  Run replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ ERROR ]  -------------------------------------------------
[ ERROR ]  ----------------- INTERNAL ERROR ----------------
[ ERROR ]  Unexpected exception happened.
[ ERROR ]  Please contact Model Optimizer developers and forward the following information:
[ ERROR ]  Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>)": 
[ ERROR ]  Traceback (most recent call last):
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 114, in apply_replacements
    replacer.find_and_replace_pattern(graph)
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/utils/replacement_pattern.py", line 28, in find_and_replace_pattern
    apply_pattern(graph, **self.pattern(), action=self.replace_pattern)  # pylint: disable=no-member
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 98, in apply_pattern
    for_each_sub_graph(graph, lambda graph: apply_pattern(graph, nodes, edges, action, node_attrs, edge_attrs))
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 39, in for_each_sub_graph
    func(node[sub_graph_name])
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 98, in <lambda>
    for_each_sub_graph(graph, lambda graph: apply_pattern(graph, nodes, edges, action, node_attrs, edge_attrs))
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 95, in apply_pattern
    action(graph, match)
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/extensions/middle/TF_lstm_cell_to_generic.py", line 55, in replace_pattern
    assert len(weights_node.out_nodes()) == 1
AssertionError

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/main.py", line 325, in main
    return driver(argv)
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/main.py", line 267, in driver
    mean_scale_values=mean_scale)
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 328, in tf2nx
    class_registration.apply_replacements(graph, class_registration.ClassType.MIDDLE_REPLACER)
  File "/home/sweta/intel/computer_vision_sdk_2018.5.455/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 127, in apply_replacements
    )) from err
Exception: Exception occurred during running replacer "REPLACEMENT_ID (<class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>)": 

[ ERROR ]  ---------------- END OF BUG REPORT --------------
[ ERROR ]  -------------------------------------------------