(vb_tf36) C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379>python deployment_tools\model_optimizer\mo_tf.py --input_model tensorflow_model\squeezedetmini_003-5.88.pb --input_shape (1,3,320,320) --output_dir vb_openvino_models --scale 255 --log_level=DEBUG
[ 2020-01-28 10:43:41,099 ] [ DEBUG ] [ main:134 ]  Namespace(batch=None, blobs_as_inputs=False, data_type='float', disable_fusing=None, disable_gfusing=None, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, enable_concat_optimization=False, extensions='C:\\Program Files (x86)\\IntelSWTools\\openvino_2019.3.379\\deployment_tools\\model_optimizer\\extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, generate_deprecated_IR_V2=None, generate_experimental_IR_V10=False, input=None, input_checkpoint=None, input_meta_graph=None, input_model='C:\\Program Files (x86)\\IntelSWTools\\openvino_2019.3.379\\tensorflow_model\\squeezedetmini_003-5.88.pb', input_model_is_text=False, input_shape='(1,3,320,320)', keep_quantize_ops_in_IR=False, keep_shape_ops=False, log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=False, output=None, output_dir='C:\\Program Files (x86)\\IntelSWTools\\openvino_2019.3.379\\vb_openvino_models', reverse_input_channels=False, saved_model_dir=None, saved_model_tags=None, scale=255.0, scale_values=(), silent=False, steps=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)
[ 2020-01-28 10:43:41,099 ] [ DEBUG ] [ main:135 ]  Model Optimizer started
[ 2020-01-28 10:43:41,101 ] [ DEBUG ] [ main:149 ]  Output model name would be squeezedetmini_003-5.88{.xml, .bin}
Model Optimizer arguments:
Common parameters:
        - Path to the Input Model:      C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\tensorflow_model\squeezedetmini_003-5.88.pb
        - Path for generated IR:        C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\vb_openvino_models
        - IR output name:       squeezedetmini_003-5.88
        - Log level:    DEBUG
        - Batch:        Not specified, inherited from the model
        - Input layers:         Not specified, inherited from the model
        - Output layers:        Not specified, inherited from the model
        - Input shapes:         (1,3,320,320)
        - Mean values:  Not specified
        - Scale values:         Not specified
        - Scale factor:         255.0
        - 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
        - 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:        2019.3.0-408-gac8584cb7
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorflow\python\framework\dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
C:\Users\cesar.gouveia\AppData\Local\Programs\Python\Python36\lib\site-packages\tensorboard\compat\tensorflow_stub\dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
[ 2020-01-28 10:43:42,733 ] [ DEBUG ] [ main:231 ]  Placeholder shapes : [  1   3 320 320]
[ WARNING ]  From %s: The name %s is deprecated. Please use %s instead.

[ WARNING ]  From %s: The name %s is deprecated. Please use %s instead.

[ WARNING ]  From %s: The name %s is deprecated. Please use %s instead.

[ INFO ]  Importing extensions from: C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo
[ INFO ]  New subclass: <class 'extensions.ops.gather.Gather'>
[ INFO ]  Registered a new subclass with key: Gather
[ INFO ]  New subclass: <class 'mo.ops.const.Const'>
[ INFO ]  Registered a new subclass with key: Const
[ INFO ]  New subclass: <class 'extensions.ops.transpose.Transpose'>
[ INFO ]  Registered a new subclass with key: Transpose
[ INFO ]  New subclass: <class 'mo.ops.reshape.Reshape'>
[ INFO ]  Registered a new subclass with key: Reshape
[ INFO ]  New subclass: <class 'mo.ops.scale_shift.ScaleShiftOp'>
[ INFO ]  Registered a new subclass with key: ScaleShift
[ INFO ]  New subclass: <class 'mo.ops.clamp.Clamp'>
[ INFO ]  Registered a new subclass with key: Clamp
[ INFO ]  New subclass: <class 'extensions.ops.activation_ops.Activation'>
[ INFO ]  New subclass: <class 'extensions.ops.activation_ops.LeakyReLU'>
[ INFO ]  Registered a new subclass with key: LeakyReLU
[ 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.softmax.Softmax'>
[ INFO ]  Registered a new subclass with key: SoftMax
[ INFO ]  New subclass: <class 'extensions.ops.elementwise.Elementwise'>
[ INFO ]  New subclass: <class 'mo.ops.activation.Activation'>
[ INFO ]  Registered a new subclass with key: Activation
[ INFO ]  New subclass: <class 'mo.ops.broadcast.Broadcast'>
[ INFO ]  Registered a new subclass with key: Broadcast
[ INFO ]  New subclass: <class 'mo.ops.broadcast_minus.BroadcastMinus'>
[ INFO ]  Registered a new subclass with key: broadcast_minus
[ INFO ]  New subclass: <class 'mo.ops.constant_of_shape.ConstantOfShape'>
[ INFO ]  Registered a new subclass with key: ConstantOfShape
[ INFO ]  New subclass: <class 'mo.ops.deconvolution.Deconvolution'>
[ INFO ]  Registered a new subclass with key: Deconvolution
[ INFO ]  New subclass: <class 'mo.ops.deformable_convolution.DeformableConvolution'>
[ INFO ]  Registered a new subclass with key: DeformableConvolution
[ INFO ]  New subclass: <class 'mo.ops.dot.dot'>
[ INFO ]  Registered a new subclass with key: dot
[ INFO ]  New subclass: <class 'mo.ops.eltwise.Eltwise'>
[ INFO ]  Registered a new subclass with key: Eltwise
[ INFO ]  New subclass: <class 'mo.ops.eltwise_n.EltwiseN'>
[ INFO ]  Registered a new subclass with key: EltwiseN
[ INFO ]  New subclass: <class 'mo.ops.eltwise_ninputs_in_1.EltwiseNin1'>
[ INFO ]  Registered a new subclass with key: EltwiseNin1
[ INFO ]  New subclass: <class 'mo.ops.expand_dims.ExpandDims'>
[ INFO ]  Registered a new subclass with key: ExpandDims
[ INFO ]  New subclass: <class 'mo.ops.fill.Fill'>
[ INFO ]  Registered a new subclass with key: Fill
[ 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.group_norm.GroupNorm'>
[ INFO ]  Registered a new subclass with key: GroupNorm
[ INFO ]  New subclass: <class 'mo.ops.inner_product.InnerProduct'>
[ INFO ]  Registered a new subclass with key: FullyConnected
[ INFO ]  New subclass: <class 'mo.ops.lrn.LRN'>
[ INFO ]  Registered a new subclass with key: LRN
[ INFO ]  New subclass: <class 'mo.ops.lstmnonlinearity.LstmNonLinearity'>
[ INFO ]  Registered a new subclass with key: LstmNonLinearity
[ INFO ]  New subclass: <class 'mo.ops.memory.Memory'>
[ INFO ]  Registered a new subclass with key: Memory
[ INFO ]  New subclass: <class 'mo.ops.memoryoffset.MemoryOffset'>
[ INFO ]  Registered a new subclass with key: MemoryOffset
[ INFO ]  New subclass: <class 'mo.ops.pad.Pad'>
[ INFO ]  Registered a new subclass with key: Pad
[ INFO ]  New subclass: <class 'mo.ops.permute.Permute'>
[ INFO ]  Registered a new subclass with key: Permute
[ INFO ]  New subclass: <class 'mo.ops.pooling.Pooling'>
[ INFO ]  Registered a new subclass with key: Pooling
[ INFO ]  New subclass: <class 'mo.ops.power.Power'>
[ INFO ]  Registered a new subclass with key: Power
[ INFO ]  New subclass: <class 'mo.ops.result.Result'>
[ INFO ]  Registered a new subclass with key: Result
[ INFO ]  New subclass: <class 'mo.ops.roipooling.ROIPooling'>
[ INFO ]  Registered a new subclass with key: ROIPooling
[ INFO ]  New subclass: <class 'mo.ops.shape.Shape'>
[ INFO ]  Registered a new subclass with key: ShapeOf
[ INFO ]  New subclass: <class 'mo.ops.slice.Slice'>
[ INFO ]  Registered a new subclass with key: Slice
[ INFO ]  New subclass: <class 'mo.ops.split.Split'>
[ INFO ]  Registered a new subclass with key: Split
[ INFO ]  New subclass: <class 'mo.ops.squeeze.Squeeze'>
[ INFO ]  Registered a new subclass with key: Squeeze
[ INFO ]  New subclass: <class 'mo.ops.strided_slice.StridedSlice'>
[ INFO ]  Registered a new subclass with key: StridedSlice
[ INFO ]  New subclass: <class 'mo.ops.sum.Sum'>
[ INFO ]  Registered a new subclass with key: sum
[ INFO ]  New subclass: <class 'mo.ops.tile.Tile'>
[ INFO ]  Registered a new subclass with key: Tile
[ INFO ]  New subclass: <class 'mo.ops.unsqueeze.Unsqueeze'>
[ INFO ]  Registered a new subclass with key: Unsqueeze
[ INFO ]  New subclass: <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ INFO ]  New subclass: <class 'mo.front.common.replacement.FrontReplacementSubgraph'>
[ INFO ]  New subclass: <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 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
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'>
[ INFO ]  New subclass: <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'>
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.middle.ConcatOptimization.ConcatOptimization'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'>
[ INFO ]  New subclass: <class 'extensions.back.CreateConstNodes.CreateConstNodesReplacement'>
[ INFO ]  New subclass: <class 'extensions.back.FuseReshapesSequence.FuseReshapesSequence'>
[ INFO ]  New subclass: <class 'extensions.back.InsertLayoutPropagationTransposes.InsertLayoutPropagationTranspose'>
[ INFO ]  New subclass: <class 'extensions.back.RemoveRedundantReshapes.RemoveRedundantReshapes'>
[ INFO ]  New subclass: <class 'extensions.middle.LayoutChangeForConstantShapePaths.LayoutChangeForConstantShapePaths'>
[ INFO ]  New subclass: <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'>
[ INFO ]  Registered a new subclass with key: StridedSlice
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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 'mo.front.tf.replacement.FrontReplacementFromConfigFileSubGraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled.
[ INFO ]  Importing extensions from: C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\extensions
[ WARNING ]  Skipped <class 'extensions.ops.gather.Gather'> 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.transpose.Transpose'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.reshape.Reshape'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.scale_shift.ScaleShiftOp'> 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 'extensions.ops.activation_ops.Activation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.activation_ops.LeakyReLU'> 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.softmax.Softmax'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.ops.elementwise.Elementwise'> 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.broadcast.Broadcast'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.broadcast_minus.BroadcastMinus'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.constant_of_shape.ConstantOfShape'> 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.deformable_convolution.DeformableConvolution'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.dot.dot'> 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.eltwise_n.EltwiseN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.eltwise_ninputs_in_1.EltwiseNin1'> 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.fill.Fill'> 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.group_norm.GroupNorm'> 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.lrn.LRN'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.lstmnonlinearity.LstmNonLinearity'> 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.memoryoffset.MemoryOffset'> 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.permute.Permute'> 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.power.Power'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.result.Result'> 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.shape.Shape'> 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.split.Split'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.squeeze.Squeeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.strided_slice.StridedSlice'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.ops.sum.Sum'> 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.BatchMatMul.BatchMatMul'>
[ INFO ]  Registered a new subclass with key: BatchMatMul
[ INFO ]  New subclass: <class 'extensions.ops.BlockLSTM.BlockLSTM'>
[ INFO ]  Registered a new subclass with key: BlockLSTM
[ INFO ]  New subclass: <class 'extensions.ops.Cast.Cast'>
[ INFO ]  Registered a new subclass with key: Cast
[ 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.RNN.RNN'>
[ INFO ]  Registered a new subclass with key: RNN
[ INFO ]  New subclass: <class 'extensions.ops.GRU.GRU'>
[ INFO ]  Registered a new subclass with key: GRU
[ INFO ]  New subclass: <class 'extensions.ops.GRUCell.GRUCell'>
[ INFO ]  Registered a new subclass with key: GRUCell
[ INFO ]  New subclass: <class 'extensions.ops.GatherNd.GatherNd'>
[ INFO ]  Registered a new subclass with key: GatherNd
[ INFO ]  New subclass: <class 'extensions.ops.GatherTree.GatherTree'>
[ INFO ]  Registered a new subclass with key: GatherTree
[ INFO ]  New subclass: <class 'extensions.ops.LSTM.LSTM'>
[ INFO ]  Registered a new subclass with key: LSTM
[ INFO ]  New subclass: <class 'extensions.ops.Log.LogOp'>
[ INFO ]  Registered a new subclass with key: Log
[ INFO ]  New subclass: <class 'extensions.ops.NextIteration.NextIteration'>
[ INFO ]  Registered a new subclass with key: NextIteration
[ INFO ]  New subclass: <class 'extensions.ops.RNNCell.RNNCell'>
[ INFO ]  Registered a new subclass with key: RNNCell
[ INFO ]  New subclass: <class 'extensions.ops.ReduceOps.ReduceOp'>
[ INFO ]  New subclass: <class 'extensions.ops.Reverse.Reverse'>
[ INFO ]  Registered a new subclass with key: Reverse
[ 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.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.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.binarization.Binarization'>
[ INFO ]  Registered a new subclass with key: Binarization
[ INFO ]  New subclass: <class 'extensions.ops.bn.BNOp'>
[ INFO ]  Registered a new subclass with key: BN
[ INFO ]  New subclass: <class 'extensions.ops.box_nms.BoxNms'>
[ INFO ]  Registered a new subclass with key: _contrib_box_nms
[ INFO ]  New subclass: <class 'extensions.ops.constant_fill.ConstantFill'>
[ INFO ]  Registered a new subclass with key: ConstantFill
[ INFO ]  New subclass: <class 'extensions.ops.copy.CopyOp'>
[ INFO ]  Registered a new subclass with key: copy
[ 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.detectionoutput_onnx.ExperimentalDetectronDetectionOutput'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronDetectionOutput
[ INFO ]  New subclass: <class 'extensions.ops.exp.ExpOp'>
[ INFO ]  Registered a new subclass with key: Exp
[ INFO ]  New subclass: <class 'extensions.ops.fakequantize.FakeQuantize'>
[ INFO ]  Registered a new subclass with key: FakeQuantize
[ 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.interpolate.Interpolate'>
[ INFO ]  Registered a new subclass with key: Interpolate
[ INFO ]  New subclass: <class 'extensions.ops.lstm_cell.LSTMCell'>
[ INFO ]  Registered a new subclass with key: LSTMCell
[ 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.non_max_suppression.NonMaxSuppression'>
[ INFO ]  Registered a new subclass with key: NonMaxSuppression
[ INFO ]  New subclass: <class 'extensions.ops.normalize.NormalizeOp'>
[ INFO ]  Registered a new subclass with key: Normalize
[ INFO ]  New subclass: <class 'extensions.ops.one_hot.OneHot'>
[ INFO ]  Registered a new subclass with key: OneHot
[ INFO ]  New subclass: <class 'extensions.ops.pack.PackOp'>
[ INFO ]  Registered a new subclass with key: Pack
[ INFO ]  New subclass: <class 'extensions.ops.parameter.Parameter'>
[ INFO ]  Registered a new subclass with key: Parameter
[ INFO ]  New subclass: <class 'extensions.ops.pnorm.PNormOp'>
[ INFO ]  Registered a new subclass with key: pnorm
[ 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.priorgridgenerator_onnx.ExperimentalDetectronPriorGridGenerator'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronPriorGridGenerator
[ INFO ]  New subclass: <class 'extensions.ops.proposal.ProposalOp'>
[ INFO ]  Registered a new subclass with key: Proposal
[ INFO ]  New subclass: <class 'extensions.ops.proposal_onnx.ExperimentalDetectronGenerateProposalsSingleImage'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronGenerateProposalsSingleImage
[ INFO ]  New subclass: <class 'extensions.ops.psroipooling.PSROIPoolingOp'>
[ INFO ]  Registered a new subclass with key: PSROIPooling
[ INFO ]  New subclass: <class 'extensions.ops.range.Range'>
[ INFO ]  Registered a new subclass with key: Range
[ 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.roifeatureextractor_onnx.ExperimentalDetectronROIFeatureExtractor'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronROIFeatureExtractor
[ 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.size.Size'>
[ INFO ]  Registered a new subclass with key: Size
[ INFO ]  New subclass: <class 'extensions.ops.space_to_depth.SpaceToDepth'>
[ INFO ]  Registered a new subclass with key: SpaceToDepth
[ INFO ]  New subclass: <class 'extensions.ops.sparse_fill_empty_rows.SparseFillEmptyRows'>
[ INFO ]  Registered a new subclass with key: SparseFillEmptyRows
[ 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.swapaxis.SwapAxis'>
[ INFO ]  Registered a new subclass with key: SwapAxis
[ INFO ]  New subclass: <class 'extensions.ops.switch.Switch'>
[ INFO ]  Registered a new subclass with key: Switch
[ INFO ]  New subclass: <class 'extensions.ops.tensor_iterator.TensorIterator'>
[ INFO ]  Registered a new subclass with key: TensorIterator
[ INFO ]  New subclass: <class 'extensions.ops.topk.TopK'>
[ INFO ]  Registered a new subclass with key: TopK
[ INFO ]  New subclass: <class 'extensions.ops.topkrois_onnx.ExperimentalDetectronTopKROIs'>
[ INFO ]  Registered a new subclass with key: ExperimentalDetectronTopKROIs
[ INFO ]  New subclass: <class 'extensions.ops.unique.Unique'>
[ INFO ]  Registered a new subclass with key: Unique
[ INFO ]  New subclass: <class 'extensions.ops.upsample.UpsampleOp'>
[ INFO ]  Registered a new subclass with key: Upsample
[ WARNING ]  Skipped <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.analysis.inputs.InputsAnalysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.json_print.AnalysisJSONPrint'>
[ INFO ]  New subclass: <class 'extensions.analysis.nodes.IntermediatesNodesAnalysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.tf_od_api.TensorFlowObjectDetectionAPIAnalysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV1V2Analysis'>
[ INFO ]  New subclass: <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV3Analysis'>
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'>
[ INFO ]  Registered a new subclass with key: Interpolate
[ 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.PowerToEltwises.PowerToEltwises'>
[ INFO ]  Registered a new subclass with key: Power
[ INFO ]  New subclass: <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'>
[ INFO ]  Registered a new subclass with key: FakeQuantWithMinMaxVars
[ INFO ]  New subclass: <class 'extensions.front.div.Div'>
[ INFO ]  Registered a new subclass with key: Div
[ 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.sub.Sub'>
[ INFO ]  Registered a new subclass with key: Sub
[ INFO ]  New subclass: <class 'extensions.front.squared_difference.SquaredDifference'>
[ INFO ]  Registered a new subclass with key: SquaredDifference
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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.
[ INFO ]  New subclass: <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'>
[ INFO ]  New subclass: <class 'extensions.front.FillToBroadcast.FillToBroadcast'>
[ INFO ]  New subclass: <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'>
[ INFO ]  New subclass: <class 'extensions.front.TopKNormalize.TopKNormalize'>
[ INFO ]  New subclass: <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'>
[ INFO ]  New subclass: <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'>
[ INFO ]  New subclass: <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'>
[ INFO ]  New subclass: <class 'extensions.front.input_cut.InputCut'>
[ INFO ]  New subclass: <class 'extensions.front.output_cut.OutputCut'>
[ INFO ]  New subclass: <class 'extensions.front.override_batch.OverrideBatch'>
[ INFO ]  New subclass: <class 'extensions.front.pass_separator.FrontStart'>
[ INFO ]  New subclass: <class 'extensions.front.pass_separator.FrontFinish'>
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> 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.ArgMaxSqueeze.ArgMaxSqueeze'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ INFO ]  New subclass: <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ INFO ]  New subclass: <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'>
[ INFO ]  New subclass: <class 'extensions.front.restore_ports.RestorePorts'>
[ INFO ]  New subclass: <class 'extensions.front.softmax.SoftmaxFromKeras'>
[ INFO ]  New subclass: <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ WARNING ]  Skipped <class 'mo.front.tf.replacement.FrontReplacementFromConfigFileOp'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.front.tf.BatchMatMul_ext.BatchMatMulExtractor'>
[ INFO ]  Registered a new subclass with key: BatchMatMul
[ 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.Cast_ext.CastFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Cast
[ INFO ]  New subclass: <class 'extensions.front.tf.FakeQuantWithMinMaxVars_ext.FakeQuantWithMinMaxVarsExtractor'>
[ INFO ]  Registered a new subclass with key: FakeQuantWithMinMaxVars
[ INFO ]  New subclass: <class 'extensions.front.tf.FloorMod_ext.EltwiseFrontExtractor'>
[ INFO ]  Registered a new subclass with key: FloorMod
[ INFO ]  New subclass: <class 'extensions.front.tf.GatherTree_ext.GatherTreeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: GatherTree
[ INFO ]  New subclass: <class 'extensions.front.tf.LoopCond_ext.LoopCondFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LoopCond
[ INFO ]  New subclass: <class 'extensions.front.tf.Not_ext.LogicalNotFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LogicalNot
[ 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.all_ext.AllFrontExtractor'>
[ INFO ]  Registered a new subclass with key: All
[ 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.elementwise_ext.AddExtractor'>
[ INFO ]  Registered a new subclass with key: Add
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.AddV2Extractor'>
[ INFO ]  Registered a new subclass with key: AddV2
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.AddNExtractor'>
[ INFO ]  Registered a new subclass with key: AddN
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.BiasAddExtractor'>
[ INFO ]  Registered a new subclass with key: BiasAdd
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.MulExtractor'>
[ INFO ]  Registered a new subclass with key: Mul
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.SubExtractor'>
[ INFO ]  Registered a new subclass with key: Sub
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.DivExtractor'>
[ INFO ]  Registered a new subclass with key: RealDiv
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.SqrtExtractor'>
[ INFO ]  Registered a new subclass with key: Sqrt
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.RsqrtExtractor'>
[ INFO ]  Registered a new subclass with key: Rsqrt
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.SquareExtractor'>
[ INFO ]  Registered a new subclass with key: Square
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.NegExtractor'>
[ INFO ]  Registered a new subclass with key: Neg
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.ZerosLike'>
[ INFO ]  Registered a new subclass with key: ZerosLike
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.MaximumExtractor'>
[ INFO ]  Registered a new subclass with key: Maximum
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.MinimumExtractor'>
[ INFO ]  Registered a new subclass with key: Minimum
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.PowExtractor'>
[ INFO ]  Registered a new subclass with key: Pow
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LogicalAndFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LogicalAnd
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LogicalOrFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LogicalOr
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.EqualExtractor'>
[ INFO ]  Registered a new subclass with key: Equal
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LessEqualExtractor'>
[ INFO ]  Registered a new subclass with key: LessEqual
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.LessExtractor'>
[ INFO ]  Registered a new subclass with key: Less
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.GreaterExtractor'>
[ INFO ]  Registered a new subclass with key: Greater
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.GreaterEqualExtractor'>
[ INFO ]  Registered a new subclass with key: GreaterEqual
[ INFO ]  New subclass: <class 'extensions.front.tf.elementwise_ext.NotEqualExtractor'>
[ INFO ]  Registered a new subclass with key: NotEqual
[ INFO ]  New subclass: <class 'extensions.front.tf.elu_ext.EluFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Elu
[ INFO ]  New subclass: <class 'extensions.front.tf.erf_ext.ErfFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Erf
[ INFO ]  New subclass: <class 'extensions.front.tf.exp_ext.ExpExtractor'>
[ INFO ]  Registered a new subclass with key: Exp
[ INFO ]  New subclass: <class 'extensions.front.tf.expand_dims_ext.ExpandDimsExtractor'>
[ INFO ]  Registered a new subclass with key: ExpandDims
[ INFO ]  New subclass: <class 'extensions.front.tf.extract_image_patches_ext.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.fill_ext.FillExtractor'>
[ INFO ]  Registered a new subclass with key: Fill
[ 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.leaky_relu_ext.LeakyReLUFrontExtractor'>
[ INFO ]  Registered a new subclass with key: LeakyRelu
[ 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.mean_ext.MeanExtractor'>
[ INFO ]  Registered a new subclass with key: Mean
[ 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.one_hot_ext.OneHotFrontExtractor'>
[ INFO ]  Registered a new subclass with key: OneHot
[ 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.placeholder_ext.PlaceholderFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Placeholder
[ INFO ]  New subclass: <class 'extensions.front.tf.placeholder_with_default_ext.PlaceholderWithDefaultExtractor'>
[ INFO ]  Registered a new subclass with key: PlaceholderWithDefault
[ 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.prod_ext.ProdFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Prod
[ 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.relu6_ext.Relu6FrontExtractor'>
[ INFO ]  Registered a new subclass with key: Relu6
[ INFO ]  New subclass: <class 'extensions.front.tf.relu_ext.ReluFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Relu
[ INFO ]  New subclass: <class 'extensions.front.tf.reshape_ext.ReshapeExtractor'>
[ INFO ]  Registered a new subclass with key: Reshape
[ 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.select_ext.SelectExtractor'>
[ INFO ]  Registered a new subclass with key: Select
[ INFO ]  New subclass: <class 'extensions.front.tf.shape_ext.ShapeExtractor'>
[ INFO ]  Registered a new subclass with key: Shape
[ INFO ]  New subclass: <class 'extensions.front.tf.sigmoid.SigmoidFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sigmoid
[ INFO ]  New subclass: <class 'extensions.front.tf.size_ext.SizeFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Size
[ 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.space_to_depth_ext.SpaceToDepthFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SpaceToDepth
[ INFO ]  New subclass: <class 'extensions.front.tf.sparse_fill_empty_rows_ext.SparseFillEmptyRowsFrontExtractor'>
[ INFO ]  Registered a new subclass with key: SparseFillEmptyRows
[ 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.squeeze_ext.SqueezeExtractor'>
[ INFO ]  Registered a new subclass with key: Squeeze
[ 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.sum_ext.SumFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Sum
[ INFO ]  New subclass: <class 'extensions.front.tf.tanh.TanhFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Tanh
[ 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.topk_ext.TopKExtractor'>
[ INFO ]  Registered a new subclass with key: TopK
[ INFO ]  New subclass: <class 'extensions.front.tf.topk_ext.TopKV2Extractor'>
[ INFO ]  Registered a new subclass with key: TopKV2
[ INFO ]  New subclass: <class 'extensions.front.tf.transpose_ext.TransposeFrontExtractorTF'>
[ INFO ]  Registered a new subclass with key: Transpose
[ INFO ]  New subclass: <class 'extensions.front.tf.unique_ext.UniqueFrontExtractor'>
[ INFO ]  Registered a new subclass with key: Unique
[ 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 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'> 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.PowerToEltwises.PowerToEltwises'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.div.Div'> 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.sub.Sub'> 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.
[ 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.LogSoftmax.LogSoftmaxFrontReplacer'>
[ INFO ]  Registered a new subclass with key: LogSoftmax
[ INFO ]  New subclass: <class 'extensions.front.tf.Unpack.Unpack'>
[ INFO ]  Registered a new subclass with key: Unpack
[ INFO ]  New subclass: <class 'extensions.front.tf.SizeReplacer.SizeFrontReplacer'>
[ INFO ]  Registered a new subclass with key: Size
[ 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.assign_elimination.AssertElimination'>
[ INFO ]  Registered a new subclass with key: Assert
[ INFO ]  New subclass: <class 'extensions.front.tf.fake_const_ext.FakeConstToConst'>
[ INFO ]  Registered a new subclass with key: FakeConst
[ INFO ]  New subclass: <class 'extensions.front.tf.swish.Swish'>
[ INFO ]  Registered a new subclass with key: swish_f32
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementSubgraph'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.user_data_repack.UserDataRepack'> 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 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.FillToBroadcast.FillToBroadcast'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.TopKNormalize.TopKNormalize'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.input_cut.InputCut'> registration because it was already registered or it was disabled. 
[ WARNING ]  Skipped <class 'extensions.front.output_cut.OutputCut'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.override_batch.OverrideBatch'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.pass_separator.FrontStart'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.pass_separator.FrontFinish'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.front.tf.GNMT_DynamicSequenceLengths.GNMT_sequence_lengths'>
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'>
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'>
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'>
[ INFO ]  New subclass: <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'>
[ INFO ]  New subclass: <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'>
[ WARNING ]  Skipped <class 'mo.front.common.replacement.FrontReplacementOp'> 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.ArgMaxSqueeze.ArgMaxSqueeze'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'> 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.no_op_eraser.NoOpEraser'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.restore_ports.RestorePorts'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.front.softmax.SoftmaxFromKeras'> 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.BatchToSpaceNDToUpsample.BatchToSpaceNDToUpsample'>
[ INFO ]  New subclass: <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ INFO ]  New subclass: <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'>
[ INFO ]  New subclass: <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
[ 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.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.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.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ INFO ]  New subclass: <class 'extensions.front.tf.InterpolateTransposes.InterpolateTranspose'>
[ 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.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'>
[ INFO ]  New subclass: <class 'extensions.front.tf.YOLO.YoloRegionAddon'>
[ INFO ]  New subclass: <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'>
[ WARNING ]  Skipped <class 'extensions.middle.ConcatOptimization.ConcatOptimization'> 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.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.
[ INFO ]  New subclass: <class 'extensions.middle.PartialInfer.PartialInfer'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorCondition.DynamicDecoderConditionMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.MulFakeQuantizeFuse.MulFakeQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.AddFakeQuantizeFuse.AddFakeQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ INFO ]  New subclass: <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ INFO ]  New subclass: <class 'extensions.middle.AnchorToPriorBox.AnchorToPriorBoxes'>
[ INFO ]  New subclass: <class 'extensions.middle.ArgMaxToTopK.ArgMaxToTopK'>
[ INFO ]  Registered a new subclass with key: ArgMax
[ INFO ]  New subclass: <class 'extensions.middle.BiasAddBroadcasting.BiasAddInputBroadcasting'>
[ INFO ]  New subclass: <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ INFO ]  New subclass: <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ INFO ]  New subclass: <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ INFO ]  New subclass: <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveIdentity'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveDropout'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'>
[ INFO ]  New subclass: <class 'extensions.middle.Cast.CastToFloatMark'>
[ INFO ]  New subclass: <class 'extensions.middle.ChangePlaceholderTypes.ChangePlaceholderTypes'>
[ INFO ]  New subclass: <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'>
[ 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.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'>
[ INFO ]  New subclass: <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'>
[ INFO ]  New subclass: <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'>
[ INFO ]  New subclass: <class 'extensions.middle.DecomposeBias.DecomposeBias'>
[ INFO ]  New subclass: <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ INFO ]  New subclass: <class 'extensions.middle.DepthToSpace.DepthToSpace'>
[ INFO ]  New subclass: <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ INFO ]  New subclass: <class 'extensions.middle.FakeSplitOutputs.AddFakeOutputsToSplit'>
[ INFO ]  New subclass: <class 'extensions.middle.FlattenONNXToReshape.FlattenONNXToReshape'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'>
[ INFO ]  New subclass: <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'>
[ INFO ]  New subclass: <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.middle.GatherNdNormalizer.GatherNdNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.GemmResolver.GemmResolver'>
[ INFO ]  New subclass: <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'>
[ INFO ]  New subclass: <class 'extensions.middle.GroupNorm.GroupNormToMVN'>
[ INFO ]  Registered a new subclass with key: GroupNorm
[ INFO ]  New subclass: <class 'extensions.middle.InputCut.MiddleInputCut'>
[ INFO ]  New subclass: <class 'extensions.middle.InsertSelect.AddSelectBeforeMemoryNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.L2NormToNorm.L2NormToNorm'>
[ INFO ]  New subclass: <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.NasNet.NasNet'>
[ INFO ]  New subclass: <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'>
[ INFO ]  New subclass: <class 'extensions.middle.NormalizePad.NormalizePad'>
[ INFO ]  New subclass: <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ INFO ]  New subclass: <class 'extensions.middle.ReluQuantizeFuse.ReluFakeQuantizeMark'>
[ INFO ]  New subclass: <class 'extensions.middle.ReluQuantizeFuse.ClampQuantizeMark'>
[ INFO ]  New subclass: <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveDuplicationMemory.RemoveMemoryDuplicationPattern'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveDuplicationMemory.MergeNeighborSplicePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveRedundantReshapeAfterCropAndResize.RemoveRedundantReshapeAfterCropAndResize'>
[ INFO ]  New subclass: <class 'extensions.middle.RemoveUselessCrops.RemoveUselessCropsPattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetWithMemoryNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplacePNorm.ReplacePNormNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReplaceSpliceNodePattern.ReplaceSpliceNodePattern'>
[ INFO ]  New subclass: <class 'extensions.middle.ReverseTransposeNormalization.ReverseTransposeNormalization'>
[ INFO ]  New subclass: <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'>
[ INFO ]  New subclass: <class 'extensions.middle.ScaleInput.ScaleInput'>
[ INFO ]  New subclass: <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ INFO ]  New subclass: <class 'extensions.middle.ShuffleChannel.ShuffleChannel'>
[ INFO ]  New subclass: <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxisMiddleReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.SwitchMergeOptimization.SwitchMergeMiddleReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'>
[ INFO ]  New subclass: <class 'extensions.middle.TileReplacer.TileMultipleAxisReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.UpsampleToResample.UpsampleToResample'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessMerge.UselessMergeEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.MiddleStart'>
[ INFO ]  New subclass: <class 'extensions.middle.pass_separator.MiddleFinish'>
[ INFO ]  New subclass: <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.quantize_fuses.MarkNodesToFuseUpToFakeQuantize'>
[ INFO ]  New subclass: <class 'extensions.middle.quantize_fuses.FakeQuantizeFuse'>
[ INFO ]  New subclass: <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
[ INFO ]  New subclass: <class 'extensions.middle.space_to_depth.SpaceToDepth'>
[ INFO ]  New subclass: <class 'extensions.middle.ssd_anchors_to_const.SsdAnchorsMiddleReplacer'>
[ INFO ]  New subclass: <class 'extensions.middle.wights_permute_normalizer.WeightsPermuteNormalizer'>
[ WARNING ]  Skipped <class 'extensions.back.CreateConstNodes.CreateConstNodesReplacement'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.back.FuseReshapesSequence.FuseReshapesSequence'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.back.InsertLayoutPropagationTransposes.InsertLayoutPropagationTranspose'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.back.RemoveRedundantReshapes.RemoveRedundantReshapes'> registration because it was already registered or it was disabled.
[ WARNING ]  Skipped <class 'extensions.middle.LayoutChangeForConstantShapePaths.LayoutChangeForConstantShapePaths'> registration because it was already registered or it was disabled.
[ INFO ]  New subclass: <class 'extensions.back.ActivationsNormalizer.ActivationsNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.AvgPool.AvgPool'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionNormalizer.ConvolutionNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.EltwiseBroadcast.EltwiseBroadcast'>
[ INFO ]  New subclass: <class 'extensions.back.ForceStrictPrecision.ForceStrictPrecision'>
[ INFO ]  New subclass: <class 'extensions.back.FuseTransposesSequence.FuseTransposesSequence'>
[ INFO ]  New subclass: <class 'extensions.back.OptimizeTransposeReshapeSequence.OptimizeTransposeReshapeSequence'>
[ INFO ]  New subclass: <class 'extensions.back.ReshapeMutation.ReshapeMutation'>
[ INFO ]  New subclass: <class 'extensions.back.ReshapeMutation.FlattenMutation'>
[ INFO ]  New subclass: <class 'extensions.back.ReshapeMutation.DisableReshapeMutationInTensorIterator'>
[ INFO ]  New subclass: <class 'extensions.back.ConvolutionReshaper.ConvolutionReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.CropToStridedSlice.CropToStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.back.ParameterToPlaceholder.ParameterToInput'>
[ INFO ]  New subclass: <class 'extensions.back.CutMemory.CutMemory'>
[ INFO ]  New subclass: <class 'extensions.back.DumpFakeQuantStat.DumpFakeQuantStat'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.SimpleEltwiseToEltwiseOp'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.DivideToEltwises'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.SubtractToEltwises'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.EltwisesWithScalarInputToPower'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.MulAddPowerMerge'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.MulPowPowerMerge'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.AddPowPowerMerge'>
[ INFO ]  New subclass: <class 'extensions.back.ElementwiseOpsToEltwiseOps.MulAddPowPowerMerge'>
[ INFO ]  New subclass: <class 'extensions.back.EnableConstantStridedSlice.EnableConstantStridedSlice'>
[ INFO ]  New subclass: <class 'extensions.back.Gather0D.Gather0D'>
[ INFO ]  New subclass: <class 'extensions.back.GroupedConvWeightsNormalize.GroupedConvWeightsNormalize'>
[ INFO ]  New subclass: <class 'extensions.back.InterpolateToInterpOrResample.InterpolateToInterpOrResample'>
[ INFO ]  New subclass: <class 'extensions.back.LRNToNorm.LRNToNorm'>
[ INFO ]  New subclass: <class 'extensions.back.LeakyReluToReluWithNegativeSlope.LeakyReluToReluWithNegativeSlope'>
[ INFO ]  New subclass: <class 'extensions.back.MatMulNormalizer.MatMulNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.MaxPool.MaxPool'>
[ INFO ]  New subclass: <class 'extensions.back.NormalizeToNormalizeL2.NormalizeToNormalizeL2'>
[ INFO ]  New subclass: <class 'extensions.back.PackBinaryWeights.PackBinaryWeights'>
[ INFO ]  New subclass: <class 'extensions.back.PadNormalizer.PadNormalize'>
[ INFO ]  New subclass: <class 'extensions.back.RNNSequenceTypeRename.RNNSequence'>
[ INFO ]  New subclass: <class 'extensions.back.ReduceToPooling.ReduceReplacer'>
[ INFO ]  New subclass: <class 'extensions.back.ReduceTransposeDimensions.ReduceTransposeDimensions'>
[ INFO ]  New subclass: <class 'extensions.back.RepackFCWeightsNHWCToNCHW.RepackFCWeightsNHWCToNCHW'>
[ INFO ]  New subclass: <class 'extensions.back.ResultNormalizer.ResultNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.ScalarConstNormalize.ScalarNormalize'>
[ INFO ]  New subclass: <class 'extensions.back.ScalarConstNormalize.ScalarNormalizeForSpecificOps'>
[ INFO ]  New subclass: <class 'extensions.back.ScalarConstNormalize.RangeInputNormalize'>
[ INFO ]  New subclass: <class 'extensions.back.SelectBroadcast.SelectBroadcast'>
[ INFO ]  New subclass: <class 'extensions.back.SelectInputNormalizer.SelectInputNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.ShapeOfToShape.ShapeOfToShape'>
[ INFO ]  New subclass: <class 'extensions.back.TransposeToPermute.TransposeToPermute'>
[ INFO ]  New subclass: <class 'extensions.back.ShuffleChannelPatternOptimization.ShuffleChannelPatternOptimization'>
[ INFO ]  New subclass: <class 'extensions.back.ShufflenetReLUReorder.ShufflenetReLUReorder'>
[ INFO ]  New subclass: <class 'extensions.back.TileReshaper.TileReshaper'>
[ INFO ]  New subclass: <class 'extensions.back.TopKNormalizer.TopKNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.TransposeFCWeights.TransposeFCWeights'>
[ INFO ]  New subclass: <class 'extensions.back.blob_normalizer.BlobNormalizer'>
[ INFO ]  New subclass: <class 'extensions.back.disable_unsupported_ND_operations.DisableUnsupportedNDOperations'>
[ INFO ]  New subclass: <class 'extensions.back.insert_compatibility_l2normalization.CompatibilityL2NormalizationPattern'>
[ INFO ]  New subclass: <class 'extensions.back.kaldi_remove_memory_output.KaldiRemoveMemoryOutputBackReplacementPattern'>
[ INFO ]  New subclass: <class 'extensions.back.priorbox_mutation.PriorboxMutation'>
[ INFO ]  New subclass: <class 'extensions.back.remove_last_softmax_pattern.RemoveLastSoftMaxPattern'>
[ 2020-01-28 10:43:44,892 ] [ DEBUG ] [ class_registration:48 ]  All replacers has unique idxs.
[ 2020-01-28 10:43:44,976 ] [ DEBUG ] [ tf:95 ]  Number of nodes in graph_def: 464
[ 2020-01-28 10:43:44,976 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StridedSlice to extractors with custom extractor class <class 'mo.front.tf.extractors.strided_slice.StridedSliceFrontExtractor'>.
[ 2020-01-28 10:43:44,978 ] [ DEBUG ] [ register_custom_ops:70 ]  Overridden extractor entry BatchMatMul by custom extractor class <class 'extensions.front.tf.BatchMatMul_ext.BatchMatMulExtractor'>.
[ 2020-01-28 10:43:44,983 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BlockLSTM to extractors with custom extractor class <class 'extensions.front.tf.BlockLSTM_ext.BlockLSTMExtractor'>.
[ 2020-01-28 10:43:44,985 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry CTCGreedyDecoder to extractors with custom extractor class <class 'extensions.front.tf.CTCGreedyDecoder_ext.CTCCGreedyDecoderFrontExtractor'>.
[ 2020-01-28 10:43:44,990 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Cast to extractors with custom extractor class <class 'extensions.front.tf.Cast_ext.CastFrontExtractor'>.
[ 2020-01-28 10:43:44,993 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry FakeQuantWithMinMaxVars to extractors with custom extractor class <class 'extensions.front.tf.FakeQuantWithMinMaxVars_ext.FakeQuantWithMinMaxVarsExtractor'>.
[ 2020-01-28 10:43:44,994 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry FloorMod to extractors with custom extractor class <class 'extensions.front.tf.FloorMod_ext.EltwiseFrontExtractor'>.
[ 2020-01-28 10:43:44,994 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GatherTree to extractors with custom extractor class <class 'extensions.front.tf.GatherTree_ext.GatherTreeFrontExtractor'>.
[ 2020-01-28 10:43:44,995 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LoopCond to extractors with custom extractor class <class 'extensions.front.tf.LoopCond_ext.LoopCondFrontExtractor'>.
[ 2020-01-28 10:43:44,996 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LogicalNot to extractors with custom extractor class <class 'extensions.front.tf.Not_ext.LogicalNotFrontExtractor'>.
[ 2020-01-28 10:43:44,996 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayExtractors.TensorArrayExtractor'>.
[ 2020-01-28 10:43:44,997 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TensorArrayGatherV3 to extractors with custom extractor class <class 'extensions.front.tf.TensorArrayGatherV3.TensorArrayGatherV3Exteractor'>.
[ 2020-01-28 10:43:44,998 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry All to extractors with custom extractor class <class 'extensions.front.tf.all_ext.AllFrontExtractor'>.
[ 2020-01-28 10:43:45,002 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ArgMax to extractors with custom extractor class <class 'extensions.front.tf.argmax_ext.ArgMaxFrontExtractor'>.
[ 2020-01-28 10:43:45,003 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Concat to extractors with custom extractor class <class 'extensions.front.tf.concat_ext.ConcatFrontExtractor'>.
[ 2020-01-28 10:43:45,004 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv2DFrontExtractor'>.
[ 2020-01-28 10:43:45,006 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthwiseConv2dNative to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.DepthwiseConv2dNativeFrontExtractor'>.
[ 2020-01-28 10:43:45,006 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3D to extractors with custom extractor class <class 'extensions.front.tf.conv_ext.Conv3DFrontExtractor'>.
[ 2020-01-28 10:43:45,007 ] [ 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'>.
[ 2020-01-28 10:43:45,007 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv2DBackpropInput to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv2DBackpropInputFrontExtractor'>.
[ 2020-01-28 10:43:45,008 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class <class 'extensions.front.tf.deconv_ext.Conv3DBackpropInputV2InputFrontExtractor'>.
[ 2020-01-28 10:43:45,008 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry DepthToSpace to extractors with custom extractor class <class 'extensions.front.tf.depth_to_space.DepthToSpaceFrontExtractor'>.
[ 2020-01-28 10:43:45,009 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Add to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.AddExtractor'>.
[ 2020-01-28 10:43:45,009 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AddV2 to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.AddV2Extractor'>.
[ 2020-01-28 10:43:45,009 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AddN to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.AddNExtractor'>.
[ 2020-01-28 10:43:45,010 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry BiasAdd to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.BiasAddExtractor'>.
[ 2020-01-28 10:43:45,014 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Mul to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.MulExtractor'>.
[ 2020-01-28 10:43:45,015 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sub to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.SubExtractor'>.
[ 2020-01-28 10:43:45,016 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry RealDiv to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.DivExtractor'>.
[ 2020-01-28 10:43:45,017 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sqrt to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.SqrtExtractor'>.
[ 2020-01-28 10:43:45,017 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Rsqrt to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.RsqrtExtractor'>.
[ 2020-01-28 10:43:45,017 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Square to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.SquareExtractor'>.
[ 2020-01-28 10:43:45,018 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Neg to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.NegExtractor'>.
[ 2020-01-28 10:43:45,018 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ZerosLike to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.ZerosLike'>.
[ 2020-01-28 10:43:45,019 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Maximum to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.MaximumExtractor'>.
[ 2020-01-28 10:43:45,019 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Minimum to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.MinimumExtractor'>.
[ 2020-01-28 10:43:45,019 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pow to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.PowExtractor'>.
[ 2020-01-28 10:43:45,020 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LogicalAnd to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LogicalAndFrontExtractor'>.
[ 2020-01-28 10:43:45,020 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LogicalOr to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LogicalOrFrontExtractor'>.
[ 2020-01-28 10:43:45,021 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Equal to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.EqualExtractor'>.
[ 2020-01-28 10:43:45,021 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LessEqual to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LessEqualExtractor'>.
[ 2020-01-28 10:43:45,022 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Less to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.LessExtractor'>.
[ 2020-01-28 10:43:45,023 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Greater to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.GreaterExtractor'>.
[ 2020-01-28 10:43:45,027 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GreaterEqual to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.GreaterEqualExtractor'>.
[ 2020-01-28 10:43:45,029 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NotEqual to extractors with custom extractor class <class 'extensions.front.tf.elementwise_ext.NotEqualExtractor'>.
[ 2020-01-28 10:43:45,029 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Elu to extractors with custom extractor class <class 'extensions.front.tf.elu_ext.EluFrontExtractor'>.
[ 2020-01-28 10:43:45,030 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Erf to extractors with custom extractor class <class 'extensions.front.tf.erf_ext.ErfFrontExtractor'>.
[ 2020-01-28 10:43:45,030 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Exp to extractors with custom extractor class <class 'extensions.front.tf.exp_ext.ExpExtractor'>.
[ 2020-01-28 10:43:45,031 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ExpandDims to extractors with custom extractor class <class 'extensions.front.tf.expand_dims_ext.ExpandDimsExtractor'>.
[ 2020-01-28 10:43:45,031 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ExtractImagePatches to extractors with custom extractor class <class 'extensions.front.tf.extract_image_patches_ext.ExtractImagePatchesExtractor'>.
[ 2020-01-28 10:43:45,032 ] [ 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'>.
[ 2020-01-28 10:43:45,032 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Fill to extractors with custom extractor class <class 'extensions.front.tf.fill_ext.FillExtractor'>.
[ 2020-01-28 10:43:45,033 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Gather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherFrontExtractor'>.
[ 2020-01-28 10:43:45,033 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResourceGather to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.ResourceGatherFrontExtractor'>.
[ 2020-01-28 10:43:45,033 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry GatherV2 to extractors with custom extractor class <class 'extensions.front.tf.gather_ext.GatherV2FrontExtractor'>.
[ 2020-01-28 10:43:45,034 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry LeakyRelu to extractors with custom extractor class <class 'extensions.front.tf.leaky_relu_ext.LeakyReLUFrontExtractor'>.
[ 2020-01-28 10:43:45,034 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Max to extractors with custom extractor class <class 'extensions.front.tf.max_ext.MaxFrontExtractor'>.
[ 2020-01-28 10:43:45,035 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Mean to extractors with custom extractor class <class 'extensions.front.tf.mean_ext.MeanExtractor'>.
[ 2020-01-28 10:43:45,035 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry NextIteration to extractors with custom extractor class <class 'extensions.front.tf.next_iteration_ext.NextIterationExtractor'>.
[ 2020-01-28 10:43:45,035 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry OneHot to extractors with custom extractor class <class 'extensions.front.tf.one_hot_ext.OneHotFrontExtractor'>.
[ 2020-01-28 10:43:45,036 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Pad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadFrontExtractor'>.
[ 2020-01-28 10:43:45,041 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry PadV2 to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.PadV2FrontExtractor'>.
[ 2020-01-28 10:43:45,042 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MirrorPad to extractors with custom extractor class <class 'extensions.front.tf.pad_ext.MirrorPadFrontExtractor'>.
[ 2020-01-28 10:43:45,043 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Placeholder to extractors with custom extractor class <class 'extensions.front.tf.placeholder_ext.PlaceholderFrontExtractor'>.
[ 2020-01-28 10:43:45,043 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry PlaceholderWithDefault to extractors with custom extractor class <class 'extensions.front.tf.placeholder_with_default_ext.PlaceholderWithDefaultExtractor'>.
[ 2020-01-28 10:43:45,044 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPoolFrontExtractor'>.
[ 2020-01-28 10:43:45,045 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPoolFrontExtractor'>.
[ 2020-01-28 10:43:45,045 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry MaxPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.MaxPool3DFrontExtractor'>.
[ 2020-01-28 10:43:45,045 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry AvgPool3D to extractors with custom extractor class <class 'extensions.front.tf.pooling_ext.AvgPool3DFrontExtractor'>.
[ 2020-01-28 10:43:45,046 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Prod to extractors with custom extractor class <class 'extensions.front.tf.prod_ext.ProdFrontExtractor'>.
[ 2020-01-28 10:43:45,046 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Rank to extractors with custom extractor class <class 'extensions.front.tf.rank_ext.RankFrontExtractor'>.
[ 2020-01-28 10:43:45,047 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Relu6 to extractors with custom extractor class <class 'extensions.front.tf.relu6_ext.Relu6FrontExtractor'>.
[ 2020-01-28 10:43:45,047 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Relu to extractors with custom extractor class <class 'extensions.front.tf.relu_ext.ReluFrontExtractor'>.
[ 2020-01-28 10:43:45,047 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Reshape to extractors with custom extractor class <class 'extensions.front.tf.reshape_ext.ReshapeExtractor'>.
[ 2020-01-28 10:43:45,048 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeBilinear to extractors with custom extractor class <class 'extensions.front.tf.resize_bilinear.ResizeBilinearFrontExtractor'>.
[ 2020-01-28 10:43:45,048 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ResizeNearestNeighbor to extractors with custom extractor class <class 'extensions.front.tf.resize_nearest_neighbor.ResizeNearestNeighborFrontExtractor'>.
[ 2020-01-28 10:43:45,049 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseSequence to extractors with custom extractor class <class 'extensions.front.tf.reverse_sequence.ReverseSequenceFrontExtractor'>.
[ 2020-01-28 10:43:45,049 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry ReverseV2 to extractors with custom extractor class <class 'extensions.front.tf.reverse_v2.ReverseV2FrontExtractor'>.
[ 2020-01-28 10:43:45,050 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Select to extractors with custom extractor class <class 'extensions.front.tf.select_ext.SelectExtractor'>.
[ 2020-01-28 10:43:45,056 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Shape to extractors with custom extractor class <class 'extensions.front.tf.shape_ext.ShapeExtractor'>.
[ 2020-01-28 10:43:45,057 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sigmoid to extractors with custom extractor class <class 'extensions.front.tf.sigmoid.SigmoidFrontExtractor'>.
[ 2020-01-28 10:43:45,057 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Size to extractors with custom extractor class <class 'extensions.front.tf.size_ext.SizeFrontExtractor'>.
[ 2020-01-28 10:43:45,058 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Slice to extractors with custom extractor class <class 'extensions.front.tf.slice_ext.SliceExtractor'>.
[ 2020-01-28 10:43:45,058 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Softmax to extractors with custom extractor class <class 'extensions.front.tf.softmax_ext.SoftmaxFrontExtractor'>.
[ 2020-01-28 10:43:45,058 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SpaceToDepth to extractors with custom extractor class <class 'extensions.front.tf.space_to_depth_ext.SpaceToDepthFrontExtractor'>.
[ 2020-01-28 10:43:45,059 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SparseFillEmptyRows to extractors with custom extractor class <class 'extensions.front.tf.sparse_fill_empty_rows_ext.SparseFillEmptyRowsFrontExtractor'>.
[ 2020-01-28 10:43:45,059 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry SplitV to extractors with custom extractor class <class 'extensions.front.tf.split_ext.SplitVExtractor'>.
[ 2020-01-28 10:43:45,060 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Squeeze to extractors with custom extractor class <class 'extensions.front.tf.squeeze_ext.SqueezeExtractor'>.
[ 2020-01-28 10:43:45,060 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry StopGradient to extractors with custom extractor class <class 'extensions.front.tf.stop_gradient_ext.StopGradientExtractor'>.
[ 2020-01-28 10:43:45,061 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Sum to extractors with custom extractor class <class 'extensions.front.tf.sum_ext.SumFrontExtractor'>.
[ 2020-01-28 10:43:45,061 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tanh to extractors with custom extractor class <class 'extensions.front.tf.tanh.TanhFrontExtractor'>.
[ 2020-01-28 10:43:45,062 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Tile to extractors with custom extractor class <class 'extensions.front.tf.tile_ext.TileExtractor'>.
[ 2020-01-28 10:43:45,062 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TopK to extractors with custom extractor class <class 'extensions.front.tf.topk_ext.TopKExtractor'>.
[ 2020-01-28 10:43:45,062 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry TopKV2 to extractors with custom extractor class <class 'extensions.front.tf.topk_ext.TopKV2Extractor'>.
[ 2020-01-28 10:43:45,063 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Transpose to extractors with custom extractor class <class 'extensions.front.tf.transpose_ext.TransposeFrontExtractorTF'>.
[ 2020-01-28 10:43:45,067 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Unique to extractors with custom extractor class <class 'extensions.front.tf.unique_ext.UniqueFrontExtractor'>.
[ 2020-01-28 10:43:45,069 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry Variable to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableExtractor'>.
[ 2020-01-28 10:43:45,070 ] [ DEBUG ] [ register_custom_ops:74 ]  Added a new entry VariableV2 to extractors with custom extractor class <class 'extensions.front.tf.variable_ext.VariableV2Extractor'>.
[ 2020-01-28 10:43:45,070 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ScaleShift to extractors with custom op class <class 'mo.ops.scale_shift.ScaleShiftOp'>.
[ 2020-01-28 10:43:45,070 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Clamp to extractors with custom op class <class 'mo.ops.clamp.Clamp'>.
[ 2020-01-28 10:43:45,072 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Convolution to extractors with custom op class <class 'mo.ops.convolution.Convolution'>.
[ 2020-01-28 10:43:45,073 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Crop to extractors with custom op class <class 'mo.ops.crop.Crop'>.
[ 2020-01-28 10:43:45,073 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Activation to extractors with custom op class <class 'mo.ops.activation.Activation'>.
[ 2020-01-28 10:43:45,073 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Broadcast to extractors with custom op class <class 'mo.ops.broadcast.Broadcast'>.
[ 2020-01-28 10:43:45,074 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry broadcast_minus to extractors with custom op class <class 'mo.ops.broadcast_minus.BroadcastMinus'>.
[ 2020-01-28 10:43:45,074 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ConstantOfShape to extractors with custom op class <class 'mo.ops.constant_of_shape.ConstantOfShape'>.
[ 2020-01-28 10:43:45,075 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Deconvolution to extractors with custom op class <class 'mo.ops.deconvolution.Deconvolution'>.
[ 2020-01-28 10:43:45,075 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DeformableConvolution to extractors with custom op class <class 'mo.ops.deformable_convolution.DeformableConvolution'>.
[ 2020-01-28 10:43:45,075 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry dot to extractors with custom op class <class 'mo.ops.dot.dot'>.
[ 2020-01-28 10:43:45,076 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Eltwise to extractors with custom op class <class 'mo.ops.eltwise.Eltwise'>.
[ 2020-01-28 10:43:45,080 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry EltwiseN to extractors with custom op class <class 'mo.ops.eltwise_n.EltwiseN'>.
[ 2020-01-28 10:43:45,082 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry EltwiseNin1 to extractors with custom op class <class 'mo.ops.eltwise_ninputs_in_1.EltwiseNin1'>.
[ 2020-01-28 10:43:45,082 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Flatten to extractors with custom op class <class 'mo.ops.flatten.Flatten'>.
[ 2020-01-28 10:43:45,083 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FlattenONNX to extractors with custom op class <class 'mo.ops.flatten_onnx.FlattenONNX'>.
[ 2020-01-28 10:43:45,083 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GroupNorm to extractors with custom op class <class 'mo.ops.group_norm.GroupNorm'>.
[ 2020-01-28 10:43:45,083 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FullyConnected to extractors with custom op class <class 'mo.ops.inner_product.InnerProduct'>.
[ 2020-01-28 10:43:45,083 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LstmNonLinearity to extractors with custom op class <class 'mo.ops.lstmnonlinearity.LstmNonLinearity'>.
[ 2020-01-28 10:43:45,084 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Memory to extractors with custom op class <class 'mo.ops.memory.Memory'>.
[ 2020-01-28 10:43:45,084 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MemoryOffset to extractors with custom op class <class 'mo.ops.memoryoffset.MemoryOffset'>.
[ 2020-01-28 10:43:45,084 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Permute to extractors with custom op class <class 'mo.ops.permute.Permute'>.
[ 2020-01-28 10:43:45,085 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Pooling to extractors with custom op class <class 'mo.ops.pooling.Pooling'>.
[ 2020-01-28 10:43:45,085 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Power to extractors with custom op class <class 'mo.ops.power.Power'>.
[ 2020-01-28 10:43:45,086 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Result to extractors with custom op class <class 'mo.ops.result.Result'>.
[ 2020-01-28 10:43:45,086 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ROIPooling to extractors with custom op class <class 'mo.ops.roipooling.ROIPooling'>.
[ 2020-01-28 10:43:45,086 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ShapeOf to extractors with custom op class <class 'mo.ops.shape.Shape'>.
[ 2020-01-28 10:43:45,087 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Unsqueeze to extractors with custom op class <class 'mo.ops.unsqueeze.Unsqueeze'>.
[ 2020-01-28 10:43:45,087 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DetectionOutput to extractors with custom op class <class 'extensions.ops.DetectionOutput.DetectionOutput'>.
[ 2020-01-28 10:43:45,089 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Enter to extractors with custom op class <class 'extensions.ops.Enter.Enter'>.
[ 2020-01-28 10:43:45,093 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Exit to extractors with custom op class <class 'extensions.ops.Exit.Exit'>.
[ 2020-01-28 10:43:45,096 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RNN to extractors with custom op class <class 'extensions.ops.RNN.RNN'>.
[ 2020-01-28 10:43:45,096 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRU to extractors with custom op class <class 'extensions.ops.GRU.GRU'>.
[ 2020-01-28 10:43:45,097 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRUCell to extractors with custom op class <class 'extensions.ops.GRUCell.GRUCell'>.
[ 2020-01-28 10:43:45,097 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GatherNd to extractors with custom op class <class 'extensions.ops.GatherNd.GatherNd'>.
[ 2020-01-28 10:43:45,098 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTM to extractors with custom op class <class 'extensions.ops.LSTM.LSTM'>.
[ 2020-01-28 10:43:45,098 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Log to extractors with custom op class <class 'extensions.ops.Log.LogOp'>.
[ 2020-01-28 10:43:45,098 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RNNCell to extractors with custom op class <class 'extensions.ops.RNNCell.RNNCell'>.
[ 2020-01-28 10:43:45,099 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Reverse to extractors with custom op class <class 'extensions.ops.Reverse.Reverse'>.
[ 2020-01-28 10:43:45,099 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SquaredDifference to extractors with custom op class <class 'extensions.ops.SquaredDifference.SquaredDifference'>.
[ 2020-01-28 10:43:45,100 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayReadV3 to extractors with custom op class <class 'extensions.ops.TensorArrayRead.TensorArrayReader'>.
[ 2020-01-28 10:43:45,100 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayScatterV3 to extractors with custom op class <class 'extensions.ops.TensorArrayScatter.TensorArrayScatter'>.
[ 2020-01-28 10:43:45,100 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArraySizeV3 to extractors with custom op class <class 'extensions.ops.TensorArraySize.TensorArraySize'>.
[ 2020-01-28 10:43:45,101 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorArrayWriteV3 to extractors with custom op class <class 'extensions.ops.TensorArrayWrite.TensorArrayWriter'>.
[ 2020-01-28 10:43:45,101 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorInput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorInput'>.
[ 2020-01-28 10:43:45,106 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorOutput to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorOutput'>.
[ 2020-01-28 10:43:45,107 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorCondition to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorCondition'>.
[ 2020-01-28 10:43:45,108 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIteratorBackEdge to extractors with custom op class <class 'extensions.ops.TensorIterator_ops.TensorIteratorBackEdge'>.
[ 2020-01-28 10:43:45,109 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Accum to extractors with custom op class <class 'extensions.ops.accum.AccumOp'>.
[ 2020-01-28 10:43:45,109 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Assert to extractors with custom op class <class 'extensions.ops.assert_op.Assert'>.
[ 2020-01-28 10:43:45,110 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Axpy to extractors with custom op class <class 'extensions.ops.axpy.AxpyOp'>.
[ 2020-01-28 10:43:45,110 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Binarization to extractors with custom op class <class 'extensions.ops.binarization.Binarization'>.
[ 2020-01-28 10:43:45,110 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry BN to extractors with custom op class <class 'extensions.ops.bn.BNOp'>.
[ 2020-01-28 10:43:45,111 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry _contrib_box_nms to extractors with custom op class <class 'extensions.ops.box_nms.BoxNms'>.
[ 2020-01-28 10:43:45,111 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ConstantFill to extractors with custom op class <class 'extensions.ops.constant_fill.ConstantFill'>.
[ 2020-01-28 10:43:45,112 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry copy to extractors with custom op class <class 'extensions.ops.copy.CopyOp'>.
[ 2020-01-28 10:43:45,112 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Correlation to extractors with custom op class <class 'extensions.ops.correlation.CorrelationOp'>.
[ 2020-01-28 10:43:45,113 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry DataAugmentation to extractors with custom op class <class 'extensions.ops.data_augmentation.DataAugmentationOp'>.
[ 2020-01-28 10:43:45,113 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronDetectionOutput to extractors with custom op class <class 'extensions.ops.detectionoutput_onnx.ExperimentalDetectronDetectionOutput'>.
[ 2020-01-28 10:43:45,113 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry FakeQuantize to extractors with custom op class <class 'extensions.ops.fakequantize.FakeQuantize'>.
[ 2020-01-28 10:43:45,114 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry GRN to extractors with custom op class <class 'extensions.ops.grn.GRNOp'>.
[ 2020-01-28 10:43:45,114 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry InstanceNormalization to extractors with custom op class <class 'extensions.ops.instance_normalization.InstanceNormalization'>.
[ 2020-01-28 10:43:45,115 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Interp to extractors with custom op class <class 'extensions.ops.interp.InterpOp'>.
[ 2020-01-28 10:43:45,119 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Interpolate to extractors with custom op class <class 'extensions.ops.interpolate.Interpolate'>.
[ 2020-01-28 10:43:45,121 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMCell to extractors with custom op class <class 'extensions.ops.lstm_cell.LSTMCell'>.
[ 2020-01-28 10:43:45,121 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry LSTMSequence to extractors with custom op class <class 'extensions.ops.lstm_sequence.LSTMSequence'>.
[ 2020-01-28 10:43:45,123 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Merge to extractors with custom op class <class 'extensions.ops.merge.Merge'>.
[ 2020-01-28 10:43:45,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry MVN to extractors with custom op class <class 'extensions.ops.mvn.MVN'>.
[ 2020-01-28 10:43:45,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry NonMaxSuppression to extractors with custom op class <class 'extensions.ops.non_max_suppression.NonMaxSuppression'>.
[ 2020-01-28 10:43:45,124 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Normalize to extractors with custom op class <class 'extensions.ops.normalize.NormalizeOp'>.
[ 2020-01-28 10:43:45,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Parameter to extractors with custom op class <class 'extensions.ops.parameter.Parameter'>.
[ 2020-01-28 10:43:45,125 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry pnorm to extractors with custom op class <class 'extensions.ops.pnorm.PNormOp'>.
[ 2020-01-28 10:43:45,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PowerFile to extractors with custom op class <class 'extensions.ops.power_file.PowerFileOp'>.
[ 2020-01-28 10:43:45,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PredictionHeatmap to extractors with custom op class <class 'extensions.ops.prediction_heatmap.PredictionHeatmapOp'>.
[ 2020-01-28 10:43:45,126 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PReLU to extractors with custom op class <class 'extensions.ops.prelu.PreluOp'>.
[ 2020-01-28 10:43:45,127 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBox to extractors with custom op class <class 'extensions.ops.priorbox.PriorBoxOp'>.
[ 2020-01-28 10:43:45,127 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PriorBoxClustered to extractors with custom op class <class 'extensions.ops.priorbox_clustered.PriorBoxClusteredOp'>.
[ 2020-01-28 10:43:45,128 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronPriorGridGenerator to extractors with custom op class <class 'extensions.ops.priorgridgenerator_onnx.ExperimentalDetectronPriorGridGenerator'>.
[ 2020-01-28 10:43:45,132 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Proposal to extractors with custom op class <class 'extensions.ops.proposal.ProposalOp'>.
[ 2020-01-28 10:43:45,134 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronGenerateProposalsSingleImage to extractors with custom op class <class 'extensions.ops.proposal_onnx.ExperimentalDetectronGenerateProposalsSingleImage'>.
[ 2020-01-28 10:43:45,134 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry PSROIPooling to extractors with custom op class <class 'extensions.ops.psroipooling.PSROIPoolingOp'>.
[ 2020-01-28 10:43:45,135 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Range to extractors with custom op class <class 'extensions.ops.range.Range'>.
[ 2020-01-28 10:43:45,135 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry RegionYolo to extractors with custom op class <class 'extensions.ops.regionyolo.RegionYoloOp'>.
[ 2020-01-28 10:43:45,136 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ReorgYolo to extractors with custom op class <class 'extensions.ops.reorgyolo.ReorgYoloOp'>.
[ 2020-01-28 10:43:45,136 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Resample to extractors with custom op class <class 'extensions.ops.resample.ResampleOp'>.
[ 2020-01-28 10:43:45,137 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronROIFeatureExtractor to extractors with custom op class <class 'extensions.ops.roifeatureextractor_onnx.ExperimentalDetectronROIFeatureExtractor'>.
[ 2020-01-28 10:43:45,137 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ShuffleChannel to extractors with custom op class <class 'extensions.ops.shufflechannel.ShuffleChannelOp'>.
[ 2020-01-28 10:43:45,138 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SimplerNMS to extractors with custom op class <class 'extensions.ops.simplernms.SimplerNMSOp'>.
[ 2020-01-28 10:43:45,138 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SpatialTransformer to extractors with custom op class <class 'extensions.ops.spatial_transformer.SpatialTransformOp'>.
[ 2020-01-28 10:43:45,139 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Splice to extractors with custom op class <class 'extensions.ops.splice.Splice'>.
[ 2020-01-28 10:43:45,140 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry SwapAxis to extractors with custom op class <class 'extensions.ops.swapaxis.SwapAxis'>.
[ 2020-01-28 10:43:45,140 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Switch to extractors with custom op class <class 'extensions.ops.switch.Switch'>.
[ 2020-01-28 10:43:45,141 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry TensorIterator to extractors with custom op class <class 'extensions.ops.tensor_iterator.TensorIterator'>.
[ 2020-01-28 10:43:45,145 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry ExperimentalDetectronTopKROIs to extractors with custom op class <class 'extensions.ops.topkrois_onnx.ExperimentalDetectronTopKROIs'>.
[ 2020-01-28 10:43:45,147 ] [ DEBUG ] [ register_custom_ops:104 ]  Added a new entry Upsample to extractors with custom op class <class 'extensions.ops.upsample.UpsampleOp'>.
[ 2020-01-28 10:43:45,176 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3  3 64] and value.shape = (3, 3, 3, 64)
[ 2020-01-28 10:43:45,177 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2020-01-28 10:43:45,180 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 1  1 64 16] and value.shape = (1, 1, 64, 16)
[ 2020-01-28 10:43:45,183 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [16] and value.shape = (16,)
[ 2020-01-28 10:43:45,184 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 1  1 16 64] and value.shape = (1, 1, 16, 64)
[ 2020-01-28 10:43:45,185 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2020-01-28 10:43:45,186 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 16 64] and value.shape = (3, 3, 16, 64)
[ 2020-01-28 10:43:45,188 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2020-01-28 10:43:45,196 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,198 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,200 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 128  16] and value.shape = (1, 1, 128, 16)
[ 2020-01-28 10:43:45,205 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [16] and value.shape = (16,)
[ 2020-01-28 10:43:45,208 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 1  1 16 64] and value.shape = (1, 1, 16, 64)
[ 2020-01-28 10:43:45,209 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2020-01-28 10:43:45,212 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [ 3  3 16 64] and value.shape = (3, 3, 16, 64)
[ 2020-01-28 10:43:45,214 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2020-01-28 10:43:45,215 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,216 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,217 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 128  32] and value.shape = (1, 1, 128, 32)
[ 2020-01-28 10:43:45,219 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2020-01-28 10:43:45,222 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  32 128] and value.shape = (1, 1, 32, 128)
[ 2020-01-28 10:43:45,227 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2020-01-28 10:43:45,234 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  32 128] and value.shape = (3, 3, 32, 128)
[ 2020-01-28 10:43:45,236 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2020-01-28 10:43:45,239 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,241 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,242 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 256  32] and value.shape = (1, 1, 256, 32)
[ 2020-01-28 10:43:45,247 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [32] and value.shape = (32,)
[ 2020-01-28 10:43:45,250 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  32 128] and value.shape = (1, 1, 32, 128)
[ 2020-01-28 10:43:45,252 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2020-01-28 10:43:45,254 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  32 128] and value.shape = (3, 3, 32, 128)
[ 2020-01-28 10:43:45,258 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [128] and value.shape = (128,)
[ 2020-01-28 10:43:45,260 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,261 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,263 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 256  48] and value.shape = (1, 1, 256, 48)
[ 2020-01-28 10:43:45,268 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [48] and value.shape = (48,)
[ 2020-01-28 10:43:45,274 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  48 192] and value.shape = (1, 1, 48, 192)
[ 2020-01-28 10:43:45,275 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2020-01-28 10:43:45,279 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  48 192] and value.shape = (3, 3, 48, 192)
[ 2020-01-28 10:43:45,281 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2020-01-28 10:43:45,283 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,285 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,286 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  48] and value.shape = (1, 1, 384, 48)
[ 2020-01-28 10:43:45,292 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [48] and value.shape = (48,)
[ 2020-01-28 10:43:45,299 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  48 192] and value.shape = (1, 1, 48, 192)
[ 2020-01-28 10:43:45,301 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2020-01-28 10:43:45,305 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  48 192] and value.shape = (3, 3, 48, 192)
[ 2020-01-28 10:43:45,308 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [192] and value.shape = (192,)
[ 2020-01-28 10:43:45,310 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,312 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,313 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 384  64] and value.shape = (1, 1, 384, 64)
[ 2020-01-28 10:43:45,314 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2020-01-28 10:43:45,316 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  64 256] and value.shape = (1, 1, 64, 256)
[ 2020-01-28 10:43:45,318 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2020-01-28 10:43:45,321 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  64 256] and value.shape = (3, 3, 64, 256)
[ 2020-01-28 10:43:45,324 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2020-01-28 10:43:45,326 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,327 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,328 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 512  64] and value.shape = (1, 1, 512, 64)
[ 2020-01-28 10:43:45,334 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [64] and value.shape = (64,)
[ 2020-01-28 10:43:45,340 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  64 256] and value.shape = (1, 1, 64, 256)
[ 2020-01-28 10:43:45,342 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2020-01-28 10:43:45,347 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  64 256] and value.shape = (3, 3, 64, 256)
[ 2020-01-28 10:43:45,349 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [256] and value.shape = (256,)
[ 2020-01-28 10:43:45,351 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,352 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,355 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 512  96] and value.shape = (1, 1, 512, 96)
[ 2020-01-28 10:43:45,359 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2020-01-28 10:43:45,362 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  96 384] and value.shape = (1, 1, 96, 384)
[ 2020-01-28 10:43:45,363 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2020-01-28 10:43:45,367 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  96 384] and value.shape = (3, 3, 96, 384)
[ 2020-01-28 10:43:45,368 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2020-01-28 10:43:45,370 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,370 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,373 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1 768  96] and value.shape = (1, 1, 768, 96)
[ 2020-01-28 10:43:45,374 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [96] and value.shape = (96,)
[ 2020-01-28 10:43:45,379 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1   1  96 384] and value.shape = (1, 1, 96, 384)
[ 2020-01-28 10:43:45,380 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2020-01-28 10:43:45,384 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3  96 384] and value.shape = (3, 3, 96, 384)
[ 2020-01-28 10:43:45,385 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [384] and value.shape = (384,)
[ 2020-01-28 10:43:45,387 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,391 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,392 ] [ DEBUG ] [ utils:78 ]  value = [False], shape = [], res = [False], res.shape = (1,)
[ 2020-01-28 10:43:45,393 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,395 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,398 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,400 ] [ DEBUG ] [ utils:78 ]  value = [0.5], shape = [], res = [0.5], res.shape = (1,)
[ 2020-01-28 10:43:45,400 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,401 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2020-01-28 10:43:45,401 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,404 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,408 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,413 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  3   3 768  18] and value.shape = (3, 3, 768, 18)
[ 2020-01-28 10:43:45,414 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [18] and value.shape = (18,)
[ 2020-01-28 10:43:45,415 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,419 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,419 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,420 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,421 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,421 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,424 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,425 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,429 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,429 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,431 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,432 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,433 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,436 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,436 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,443 ] [ DEBUG ] [ utils:78 ]  value = [4], shape = [], res = [4], res.shape = (1,)
[ 2020-01-28 10:43:45,443 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,452 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,456 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,459 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,460 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,464 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,465 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,465 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,466 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,467 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,470 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,479 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,481 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,484 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,488 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,493 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,498 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,499 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,503 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,504 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,508 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,508 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,509 ] [ DEBUG ] [ utils:78 ]  value = [4], shape = [], res = [4], res.shape = (1,)
[ 2020-01-28 10:43:45,510 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,514 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,517 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,518 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,519 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,519 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,520 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,521 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,524 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,524 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,529 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,529 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ 2020-01-28 10:43:45,530 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [4] and value.shape = (4,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,531 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,536 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,542 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,544 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,545 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,550 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,550 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,553 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,556 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,559 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,561 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,561 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,562 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,562 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,564 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,566 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,573 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,578 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,578 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,583 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,584 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,585 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,586 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,590 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,593 ] [ DEBUG ] [ utils:78 ]  value = [300], shape = [], res = [300], res.shape = (1,)
[ 2020-01-28 10:43:45,594 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,595 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,595 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,596 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2020-01-28 10:43:45,597 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2020-01-28 10:43:45,597 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2020-01-28 10:43:45,598 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [3] and value.shape = (3,)
[ 2020-01-28 10:43:45,600 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1 300   1] and value.shape = (1, 300, 1)
[ 2020-01-28 10:43:45,601 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1 300   1] and value.shape = (1, 300, 1)
[ 2020-01-28 10:43:45,606 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1 300   1] and value.shape = (1, 300, 1)
[ 2020-01-28 10:43:45,607 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [  1 300   1] and value.shape = (1, 300, 1)
[ 2020-01-28 10:43:45,608 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,608 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,610 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,611 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,618 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,618 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,623 ] [ DEBUG ] [ utils:78 ]  value = [2.7182817459106445], shape = [], res = [2.7182817], res.shape = (1,)
[ 2020-01-28 10:43:45,627 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2020-01-28 10:43:45,630 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2020-01-28 10:43:45,631 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2020-01-28 10:43:45,633 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,642 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2020-01-28 10:43:45,643 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,649 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,650 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,650 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,655 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,655 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,660 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,660 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,662 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,662 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,665 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,666 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,674 ] [ DEBUG ] [ utils:78 ]  value = [2.7182817459106445], shape = [], res = [2.7182817], res.shape = (1,)
[ 2020-01-28 10:43:45,677 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [0]
[ 2020-01-28 10:43:45,682 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [0] and value.shape = (0,)
[ 2020-01-28 10:43:45,684 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2020-01-28 10:43:45,684 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,689 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2020-01-28 10:43:45,692 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Broadcast of scalar to shape: [1]
[ 2020-01-28 10:43:45,694 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [1] and value.shape = (1,)
[ 2020-01-28 10:43:45,695 ] [ DEBUG ] [ utils:78 ]  value = [1], shape = [], res = [1], res.shape = (1,)
[ 2020-01-28 10:43:45,696 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,700 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,700 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,705 ] [ DEBUG ] [ utils:78 ]  value = [2], shape = [], res = [2], res.shape = (1,)
[ 2020-01-28 10:43:45,705 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,707 ] [ DEBUG ] [ utils:78 ]  value = [2], shape = [], res = [2], res.shape = (1,)
[ 2020-01-28 10:43:45,708 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,715 ] [ DEBUG ] [ utils:78 ]  value = [1.0], shape = [], res = [1.], res.shape = (1,)
[ 2020-01-28 10:43:45,719 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,728 ] [ DEBUG ] [ utils:78 ]  value = [0.0], shape = [], res = [0.], res.shape = (1,)
[ 2020-01-28 10:43:45,731 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ 2020-01-28 10:43:45,739 ] [ DEBUG ] [ utils:78 ]  value = [0], shape = [], res = [0], res.shape = (1,)
[ 2020-01-28 10:43:45,742 ] [ DEBUG ] [ const:33 ]  Constant extractor for node gives shape = [] and value.shape = ()
[ WARNING ]  Instructions/layers that do not have attribute extractors:
[ WARNING ]      Floor (1)
[ WARNING ]          drop11/cond/dropout/Floor
[ 2020-01-28 10:43:45,754 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,758 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,760 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.LRNReplacer.LRNReplacer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,761 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.LRNReplacer.LRNReplacer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,761 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.Pack.Pack'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,762 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.Pack.Pack'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,765 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.PowerToEltwises.PowerToEltwises'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,768 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.PowerToEltwises.PowerToEltwises'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,770 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'> will be run before <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:45,770 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'> will be run before <class 'extensions.front.div.Div'>
[ 2020-01-28 10:43:45,771 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,772 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.div.Div'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,773 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.div.Div'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,776 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,779 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,779 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.image_scaler.ImageScaler'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,780 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.image_scaler.ImageScaler'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,780 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.instance_normalization.InstanceNormalization'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,781 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.instance_normalization.InstanceNormalization'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,781 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,781 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,782 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.sub.Sub'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,782 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.sub.Sub'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,783 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.squared_difference.SquaredDifference'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,783 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.squared_difference.SquaredDifference'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,784 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.BlockLSTM.BlockLSTM'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,788 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.BlockLSTM.BlockLSTM'> will be run after <class 'extensions.front.restore_ports.RestorePorts'>
[ 2020-01-28 10:43:45,789 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,791 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,791 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.LogSoftmax.LogSoftmaxFrontReplacer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,791 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.LogSoftmax.LogSoftmaxFrontReplacer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,792 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.Unpack.Unpack'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,792 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.Unpack.Unpack'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,792 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.SizeReplacer.SizeFrontReplacer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,793 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.SizeReplacer.SizeFrontReplacer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,793 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,794 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,794 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignSubElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,794 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignSubElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,795 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignAddElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,795 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssignAddElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,796 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssertElimination'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,796 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.assign_elimination.AssertElimination'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,796 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.fake_const_ext.FakeConstToConst'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,797 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.fake_const_ext.FakeConstToConst'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,801 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.swish.Swish'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,803 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.swish.Swish'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,803 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.Pack.Pack'>
[ 2020-01-28 10:43:45,804 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:45,804 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run before <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:45,806 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,806 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2020-01-28 10:43:45,807 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.tf.Unpack.Unpack'>
[ 2020-01-28 10:43:45,807 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:45,807 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run before <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:45,808 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ 2020-01-28 10:43:45,808 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'> will be run after <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2020-01-28 10:43:45,809 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,809 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ 2020-01-28 10:43:45,810 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run before <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:45,814 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run before <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2020-01-28 10:43:45,815 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run before <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:45,816 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2020-01-28 10:43:45,817 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'extensions.front.div.Div'>
[ 2020-01-28 10:43:45,817 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2020-01-28 10:43:45,818 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run before <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:45,818 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPISSDPostprocessorReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2020-01-28 10:43:45,818 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,819 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIProposalReplacement'>
[ 2020-01-28 10:43:45,819 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'> will be run after <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:45,820 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,820 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,821 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> will be run before <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2020-01-28 10:43:45,821 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,823 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,827 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,828 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'> will be run after <class 'extensions.front.restore_ports.RestorePorts'>
[ 2020-01-28 10:43:45,829 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.no_op_eraser.NoOpEraser'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,829 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.no_op_eraser.NoOpEraser'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,830 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,830 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,831 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'> will be run before <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,831 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'> will be run after <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ 2020-01-28 10:43:45,832 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.restore_ports.RestorePorts'> will be run after <class 'extensions.front.input_cut.InputCut'>
[ 2020-01-28 10:43:45,832 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.softmax.SoftmaxFromKeras'> will be run before <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:45,832 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.softmax.SoftmaxFromKeras'> will be run before <class 'extensions.front.div.Div'>
[ 2020-01-28 10:43:45,833 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.softmax.SoftmaxFromKeras'> will be run after <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'>
[ 2020-01-28 10:43:45,834 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,834 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,834 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.BatchToSpaceNDToUpsample.BatchToSpaceNDToUpsample'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,835 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.BatchToSpaceNDToUpsample.BatchToSpaceNDToUpsample'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,835 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,836 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,841 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> will be run before <class 'extensions.front.Pack.Pack'>
[ 2020-01-28 10:43:45,841 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,843 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'> will be run before <class 'extensions.front.Pack.Pack'>
[ 2020-01-28 10:43:45,843 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'> will be run after <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ 2020-01-28 10:43:45,843 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,844 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,845 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.concat.Concat'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,845 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.concat.Concat'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,846 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'> will be run before <class 'extensions.front.override_batch.OverrideBatch'>
[ 2020-01-28 10:43:45,846 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,847 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'> will be run before <class 'extensions.front.override_batch.OverrideBatch'>
[ 2020-01-28 10:43:45,847 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,848 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.mvn.MVN'> will be run before <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2020-01-28 10:43:45,848 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.mvn.MVN'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,849 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2020-01-28 10:43:45,854 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.div.Div'>
[ 2020-01-28 10:43:45,854 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run before <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:45,857 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,857 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.prelu.PReLU'> will be run before <class 'extensions.front.PowerToEltwises.PowerToEltwises'>
[ 2020-01-28 10:43:45,859 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.prelu.PReLU'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,859 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.prelu.PReLUWithAbs'> will be run before <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:45,860 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.prelu.PReLUWithAbs'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,860 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,861 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,861 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,861 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'> will be run after <class 'extensions.front.Pack.Pack'>
[ 2020-01-28 10:43:45,862 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.FillToBroadcast.FillToBroadcast'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,866 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.FillToBroadcast.FillToBroadcast'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,867 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,867 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,868 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.TopKNormalize.TopKNormalize'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,868 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.TopKNormalize.TopKNormalize'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,868 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,869 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,869 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'> will be run after <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,870 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,870 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'> will be run after <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'>
[ 2020-01-28 10:43:45,870 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.input_cut.InputCut'> will be run after <class 'extensions.front.output_cut.OutputCut'>
[ 2020-01-28 10:43:45,871 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.output_cut.OutputCut'> will be run after <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,872 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.override_batch.OverrideBatch'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,873 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.override_batch.OverrideBatch'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,873 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.GNMT_DynamicSequenceLengths.GNMT_sequence_lengths'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,878 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.GNMT_DynamicSequenceLengths.GNMT_sequence_lengths'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,878 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'> will be run after <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ 2020-01-28 10:43:45,881 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'> will be run after <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'>
[ 2020-01-28 10:43:45,881 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'> will be run before <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'>
[ 2020-01-28 10:43:45,882 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'> will be run after <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'>
[ 2020-01-28 10:43:45,882 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'> will be run before <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,882 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> will be run before <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ 2020-01-28 10:43:45,883 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> will be run after <class 'extensions.front.input_cut.InputCut'>
[ 2020-01-28 10:43:45,883 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.inputs.InputsAnalysis'> will be run before <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ 2020-01-28 10:43:45,884 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.inputs.InputsAnalysis'> will be run before <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,884 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.json_print.AnalysisJSONPrint'> will be run before <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,884 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.analysis.json_print.AnalysisJSONPrint'> will be run after <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ 2020-01-28 10:43:45,885 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.nodes.IntermediatesNodesAnalysis'> will be run before <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ 2020-01-28 10:43:45,885 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.nodes.IntermediatesNodesAnalysis'> will be run before <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,885 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.tf_od_api.TensorFlowObjectDetectionAPIAnalysis'> will be run before <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ 2020-01-28 10:43:45,886 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.tf_od_api.TensorFlowObjectDetectionAPIAnalysis'> will be run before <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,886 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV1V2Analysis'> will be run before <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ 2020-01-28 10:43:45,886 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV1V2Analysis'> will be run before <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,887 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV3Analysis'> will be run before <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ 2020-01-28 10:43:45,892 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV3Analysis'> will be run before <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,893 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.InterpolateTransposes.InterpolateTranspose'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,894 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.InterpolateTransposes.InterpolateTranspose'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,895 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,895 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'> will be run after <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement'>
[ 2020-01-28 10:43:45,896 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2020-01-28 10:43:45,896 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> will be run before <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:45,896 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIOutputReplacement'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,897 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'> will be run before <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPreprocessorReplacement'>
[ 2020-01-28 10:43:45,897 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'> will be run before <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:45,898 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,898 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,898 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2020-01-28 10:43:45,899 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'> will be run after <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2020-01-28 10:43:45,899 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'> will be run before <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:45,900 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.front.tf.YOLO.YoloV3RegionAddon'> will be run after <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:45,910 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV3Analysis'>
[ 2020-01-28 10:43:45,921 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.analysis.tf_yolo.TensorFlowYOLOV1V2Analysis'>
[ 2020-01-28 10:43:45,937 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.analysis.tf_od_api.TensorFlowObjectDetectionAPIAnalysis'>
[ 2020-01-28 10:43:45,938 ] [ DEBUG ] [ tf_od_api:67 ]  The model does not contain nodes that must exist in the TF OD API models
[ 2020-01-28 10:43:45,951 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.analysis.nodes.IntermediatesNodesAnalysis'>
[ 2020-01-28 10:43:45,959 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.analysis.inputs.InputsAnalysis'>
[ 2020-01-28 10:43:45,965 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'mo.utils.model_analysis.AnalysisCollectorAnchor'>
[ INFO ]  Skip replacer <class 'extensions.analysis.json_print.AnalysisJSONPrint'> (enabled = False)
[ 2020-01-28 10:43:45,970 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.user_data_repack.UserDataRepack'>
[ 2020-01-28 10:43:45,980 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.output_cut.OutputCut'>
[ 2020-01-28 10:43:45,988 ] [ DEBUG ] [ graph:954 ]  Sink: output_concat/concat/sink_port_0 for node output_concat/concat
[ 2020-01-28 10:43:45,988 ] [ DEBUG ] [ graph:955 ]  {'precision': 'FP32', 'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': <function Result.__init__.<locals>.<lambda> at 0x00000296F58137B8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'output_concat/concat/sink_port_0', 'dim_attrs': ['batch_dims', 'channel_dims', 'axis', 'spatial_dims'], 'shape_attrs': ['output_shape', 'window', 'shape', 'stride', 'pad'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x00000296F5802A60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {0: {}}}
[ 2020-01-28 10:43:45,993 ] [ DEBUG ] [ graph:956 ]  Add edge from output_concat/concat to output_concat/concat/sink_port_0
[ INFO ]  Possible outputs: 'Adadelta/lr, Adadelta/decay, Adadelta/iterations' are not input reachable. True outputs are output_concat/concat
[ 2020-01-28 10:43:45,994 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
output_concat/concat/sink_port_0
[ 2020-01-28 10:43:46,077 ] [ DEBUG ] [ eliminate:133 ]  Removing the following dead nodes: Adadelta/decay
Adadelta/iterations
Adadelta/lr
[ 2020-01-28 10:43:46,085 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.input_cut.InputCut'>
[ 2020-01-28 10:43:46,092 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
output_concat/concat/sink_port_0
[ 2020-01-28 10:43:46,125 ] [ DEBUG ] [ eliminate:133 ]  Removing the following dead nodes:
[ INFO ]  Skip replacer <class 'extensions.front.tf.variables_values_freezing.VariablesToConstants'> (graph_condition not satisfied)
[ 2020-01-28 10:43:46,133 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.restore_ports.RestorePorts'>
[ 2020-01-28 10:43:46,141 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.freeze_placeholder_value.FreezePlaceholderValue'>
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_custom_operations_config_update.TensorflowCustomOperationsConfigUpdate'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowSubgraphPatterns'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_patterns.TensorflowOperationPatterns'> (graph_condition not satisfied)
[ INFO ]  Skip replacer <class 'extensions.front.tf.tensorflow_use_custom_operations_config.TensorflowUseCustomOperationsConfig'> (graph_condition not satisfied)
[ 2020-01-28 10:43:46,166 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.reshape_dim_normalizer.ReshapeDimNormalizer'>
[ 2020-01-28 10:43:46,195 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.pass_separator.FrontStart'>
[ 2020-01-28 10:43:46,201 ] [ DEBUG ] [ class_registration:267 ]  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'
[ 2020-01-28 10:43:46,209 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.TopKNormalize.TopKNormalize'>
[ 2020-01-28 10:43:46,215 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.swish.Swish'>
[ 2020-01-28 10:43:46,234 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.SqueezeNormalize.SqueezeNormalize'>
[ 2020-01-28 10:43:46,240 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.SizeReplacer.SizeFrontReplacer'>
[ 2020-01-28 10:43:46,260 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.SSDToolboxDetectionOutput.SSDToolboxDetectionOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'SSDToolboxDetectionOutput' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'SSDToolboxDetectionOutput'
[ 2020-01-28 10:43:46,274 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.RetinaNetFilteredDetectionsReplacement.RetinaNetFilteredDetectionsReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'RetinaNetFilteredDetectionsReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'RetinaNetFilteredDetectionsReplacement'
[ 2020-01-28 10:43:46,285 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.reduce_axis_normalizer.ReduceAxisNormalizer'>
[ 2020-01-28 10:43:46,324 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.softmax.SoftmaxFromKeras'>
[ 2020-01-28 10:43:46,344 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.reciprocal.ReciprocalReplacer'>
[ 2020-01-28 10:43:46,362 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.fifo_replacer.QueueDequeueManyV2'>
[ 2020-01-28 10:43:46,388 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.prelu.PReLUWithAbs'>
[ 2020-01-28 10:43:46,406 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.prelu.PReLU'>
[ 2020-01-28 10:43:46,427 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.PowerToEltwises.PowerToEltwises'>
[ 2020-01-28 10:43:46,446 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
output_concat/concat/sink_port_0
[ 2020-01-28 10:43:46,479 ] [ DEBUG ] [ eliminate:133 ]  Removing the following dead nodes: lambda_15/zeros_like
lambda_17/zeros_like
[ 2020-01-28 10:43:46,488 ] [ DEBUG ] [ class_registration:267 ]  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'
[ 2020-01-28 10:43:46,499 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIConstValueOverride'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIConstValueOverride' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIConstValueOverride'
[ 2020-01-28 10:43:46,511 ] [ DEBUG ] [ class_registration:267 ]  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'
[ 2020-01-28 10:43:46,531 ] [ DEBUG ] [ class_registration:267 ]  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'
[ 2020-01-28 10:43:46,541 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.standalone_const_eraser.StandaloneConstEraser'>
[ 2020-01-28 10:43:46,570 ] [ DEBUG ] [ class_registration:267 ]  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'
[ 2020-01-28 10:43:46,592 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.no_op_eraser.NoOpEraser'>
[ 2020-01-28 10:43:46,616 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.YOLO.YoloRegionAddon'>
[ WARNING ]  Configuration file for custom replacement with id 'TFYOLO' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'TFYOLO'
[ 2020-01-28 10:43:46,637 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.nearest_neighbor_upsampling.NearestNeighborUpsampling'>
[ 2020-01-28 10:43:46,663 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.FlattenToReshape.FlattenToReshapeableReshape'>
[ 2020-01-28 10:43:46,680 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 1
[ 2020-01-28 10:43:46,680 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 300
[ 2020-01-28 10:43:46,680 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 300
[ 2020-01-28 10:43:46,681 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 300
[ 2020-01-28 10:43:46,681 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 300
[ 2020-01-28 10:43:46,682 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 300
[ 2020-01-28 10:43:46,684 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 300
[ 2020-01-28 10:43:46,685 ] [ DEBUG ] [ FlattenToReshape:75 ]  The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 300
[ 2020-01-28 10:43:46,696 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.Pack.Pack'>
[ 2020-01-28 10:43:46,713 ] [ DEBUG ] [ replacement:114 ]  Created edge from reshape_4/Reshape/shape/Concat_ to reshape_4/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('reshape_4/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,713 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['reshape_4/Reshape/shape']
[ 2020-01-28 10:43:46,719 ] [ DEBUG ] [ replacement:114 ]  Created edge from output_prediction_confidences/Reshape/shape/Concat_ to output_prediction_confidences/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('output_prediction_confidences/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,719 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['output_prediction_confidences/Reshape/shape']
[ 2020-01-28 10:43:46,724 ] [ DEBUG ] [ replacement:114 ]  Created edge from output_class_probabilities/Reshape/shape/Concat_ to output_class_probabilities/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('output_class_probabilities/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,725 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['output_class_probabilities/Reshape/shape']
[ 2020-01-28 10:43:46,730 ] [ DEBUG ] [ replacement:114 ]  Created edge from reshape_5/Reshape/shape/Concat_ to reshape_5/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('reshape_5/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,730 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['reshape_5/Reshape/shape']
[ 2020-01-28 10:43:46,736 ] [ DEBUG ] [ replacement:114 ]  Created edge from reshape_2/Reshape/shape/Concat_ to reshape_2/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('reshape_2/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,736 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['reshape_2/Reshape/shape']
[ 2020-01-28 10:43:46,740 ] [ DEBUG ] [ replacement:114 ]  Created edge from reshape_6/Reshape/shape/Concat_ to reshape_6/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('reshape_6/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,741 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['reshape_6/Reshape/shape']
[ 2020-01-28 10:43:46,748 ] [ DEBUG ] [ replacement:114 ]  Created edge from reshape_1/Reshape/shape/Concat_ to reshape_1/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('reshape_1/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,748 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['reshape_1/Reshape/shape']
[ 2020-01-28 10:43:46,753 ] [ DEBUG ] [ replacement:114 ]  Created edge from reshape_3/Reshape/shape/Concat_ to reshape_3/Reshape with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('reshape_3/Reshape/shape', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:46,754 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['reshape_3/Reshape/shape']
[ 2020-01-28 10:43:46,765 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.ExpandDimsToUnsqueeze.ExpandDimsToUnsqueeze'>
[ 2020-01-28 10:43:46,817 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.mvn_unrolled.MVNUnrolled'>
[ 2020-01-28 10:43:46,817 ] [ DEBUG ] [ mvn_unrolled:34 ]  Enabled MVN replacement
[ 2020-01-28 10:43:46,836 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.mvn.MVN'>
[ 2020-01-28 10:43:46,836 ] [ DEBUG ] [ mvn:33 ]  Enabled MVN replacement
[ 2020-01-28 10:43:46,895 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.squared_difference.SquaredDifference'>
[ 2020-01-28 10:43:46,921 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.LogSoftmax.LogSoftmaxFrontReplacer'>
[ 2020-01-28 10:43:46,941 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.LRNReplacer.LRNReplacer'>
[ 2020-01-28 10:43:46,961 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.InterpolateTransposes.InterpolateTranspose'>
[ WARNING ]  Configuration file for custom replacement with id 'InterpolateTranspose' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'InterpolateTranspose'
[ 2020-01-28 10:43:46,974 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.InterpolateNormalizer.InterpolateNormalizer'>
[ 2020-01-28 10:43:46,995 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.instance_normalization.InstanceNormalization'>
[ 2020-01-28 10:43:47,016 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.image_scaler.ImageScaler'>
[ 2020-01-28 10:43:47,036 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.GNMT_DynamicSequenceLengths.GNMT_sequence_lengths'>
[ 2020-01-28 10:43:47,036 ] [ DEBUG ] [ GNMT_DynamicSequenceLengths:42 ]  +++++++++++++++ GNMT Sequence Lengths ConditionMatching ++++++++++++++++
[ 2020-01-28 10:43:47,057 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.FillToBroadcast.FillToBroadcast'>
[ 2020-01-28 10:43:47,073 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.FakeQuantWithMinMaxVars.FakeQuantWithMinMaxVarsToQuantize'>
[ INFO ]  Skip replacer <class 'extensions.front.disable_weights_quantize_value_propagation.DisableQuantizeValuePropagation'> (graph_condition not satisfied)
[ 2020-01-28 10:43:47,094 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.fake_const_ext.FakeConstToConst'>
[ 2020-01-28 10:43:47,116 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.fifo_replacer.FIFOQueue'>
[ 2020-01-28 10:43:47,137 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.override_batch.OverrideBatch'>
[ 2020-01-28 10:43:47,144 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.eltwise_n.EltwiseNReplacement'>
[ 2020-01-28 10:43:47,165 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.div.Div'>
[ 2020-01-28 10:43:47,182 ] [ DEBUG ] [ replacement:114 ]  Created edge from drop11/cond/dropout/div/mul_ to drop11/cond/dropout/mul with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('drop11/cond/dropout/div', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,182 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['drop11/cond/dropout/div']
[ 2020-01-28 10:43:47,193 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.CropAndResizeReplacement.CropAndResizeReplacement'>
[ 2020-01-28 10:43:47,213 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIDetectionOutputReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement'
[ 2020-01-28 10:43:47,227 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.Unpack.Unpack'>
[ 2020-01-28 10:43:47,247 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.TransposeOrderNormalizer.TransposeOrderNormalizer'>
[ 2020-01-28 10:43:47,268 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIPSROIPoolingReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIPSROIPoolingReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIPSROIPoolingReplacement'
[ 2020-01-28 10:43:47,282 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.sub.Sub'>
[ 2020-01-28 10:43:47,299 ] [ DEBUG ] [ replacement:114 ]  Created edge from lambda_18/sub/add_ to lambda_18/mul_1 with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('lambda_18/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,300 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['lambda_18/sub']
[ 2020-01-28 10:43:47,304 ] [ DEBUG ] [ replacement:114 ]  Created edge from lambda_17/sub/add_ to lambda_17/Greater with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('lambda_17/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,311 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['lambda_17/sub']
[ 2020-01-28 10:43:47,316 ] [ DEBUG ] [ replacement:114 ]  Created edge from sub_1/add_ to add_1 with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('sub_1', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,316 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['sub_1']
[ 2020-01-28 10:43:47,321 ] [ DEBUG ] [ replacement:114 ]  Created edge from lambda_15/sub/add_ to lambda_15/Greater with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('lambda_15/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,321 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['lambda_15/sub']
[ 2020-01-28 10:43:47,324 ] [ DEBUG ] [ replacement:114 ]  Created edge from drop11/cond/dropout/random_uniform/sub/add_ to drop11/cond/dropout/random_uniform/mul with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('drop11/cond/dropout/random_uniform/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,325 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['drop11/cond/dropout/random_uniform/sub']
[ 2020-01-28 10:43:47,328 ] [ DEBUG ] [ replacement:114 ]  Created edge from sub/add_ to add with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,329 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['sub']
[ 2020-01-28 10:43:47,332 ] [ DEBUG ] [ replacement:114 ]  Created edge from lambda_16/sub/add_ to lambda_16/mul_1 with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('lambda_16/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False}
[ 2020-01-28 10:43:47,332 ] [ DEBUG ] [ replacement:230 ]  Removing nodes: ['lambda_16/sub']
[ 2020-01-28 10:43:47,340 ] [ DEBUG ] [ class_registration:267 ]  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'
[ 2020-01-28 10:43:47,348 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.ObjectDetectionAPI.ObjectDetectionAPIMaskRCNNSigmoidReplacement'>
[ WARNING ]  Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' doesn't exist
[ INFO ]  Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement'
[ 2020-01-28 10:43:47,361 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.concat.Concat'>
[ 2020-01-28 10:43:47,383 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.CTCGreedyDecoder.CTCGreedyDecoderReplacement'>
[ 2020-01-28 10:43:47,410 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.binary_quantize_normalization.BinaryFakeQuantizeNormalization'>
[ 2020-01-28 10:43:47,460 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.BatchToSpaceNDToUpsample.BatchToSpaceNDToUpsample'>
[ 2020-01-28 10:43:47,481 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.basic_lstm_cell.BasicLSTMCell'>
[ 2020-01-28 10:43:47,534 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssignSubElimination'>
[ 2020-01-28 10:43:47,555 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssignElimination'>
[ 2020-01-28 10:43:47,576 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssignAddElimination'>
[ 2020-01-28 10:43:47,596 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.assign_elimination.AssertElimination'>
[ 2020-01-28 10:43:47,617 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.ArgMaxSqueeze.ArgMaxSqueeze'>
[ 2020-01-28 10:43:47,642 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.tf.BlockLSTM.BlockLSTM'>
[ 2020-01-28 10:43:47,663 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.pass_separator.FrontFinish'>
[ 2020-01-28 10:43:47,670 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.front.create_tensor_nodes.CreateTensorNodes'>
[ 2020-01-28 10:43:47,713 ] [ DEBUG ] [ eliminate:67 ]  The following nodes are seeded as output reachable:
output_concat/concat/sink_port_0
[ 2020-01-28 10:43:47,789 ] [ DEBUG ] [ eliminate:133 ]  Removing the following dead nodes: lambda_15/ones_like
lambda_17/ones_like
output_class_probabilities/Reshape/shape/ExpandDims_
output_class_probabilities/Reshape/shape/ExpandDims_480
output_class_probabilities/Reshape/shape/ExpandDims_481
output_prediction_confidences/Reshape/shape/ExpandDims_
output_prediction_confidences/Reshape/shape/ExpandDims_476
output_prediction_confidences/Reshape/shape/ExpandDims_477
reshape_1/Reshape/shape/ExpandDims_
reshape_1/Reshape/shape/ExpandDims_497
reshape_1/Reshape/shape/ExpandDims_498
reshape_2/Reshape/shape/ExpandDims_
reshape_2/Reshape/shape/ExpandDims_488
reshape_2/Reshape/shape/ExpandDims_489
reshape_2/Reshape/shape/ExpandDims_490
reshape_3/Reshape/shape/ExpandDims_
reshape_3/Reshape/shape/ExpandDims_501
reshape_3/Reshape/shape/ExpandDims_502
reshape_4/Reshape/shape/ExpandDims_
reshape_4/Reshape/shape/ExpandDims_472
reshape_4/Reshape/shape/ExpandDims_473
reshape_5/Reshape/shape/ExpandDims_
reshape_5/Reshape/shape/ExpandDims_484
reshape_5/Reshape/shape/ExpandDims_485
reshape_6/Reshape/shape/ExpandDims_
reshape_6/Reshape/shape/ExpandDims_493
reshape_6/Reshape/shape/ExpandDims_494
[ 2020-01-28 10:43:47,817 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ConcatOptimization.ConcatOptimization'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,817 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,819 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> will be run after <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'>
[ 2020-01-28 10:43:47,825 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.EltwiseChecker.EltwiseChecker'> will be run after <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'>
[ 2020-01-28 10:43:47,825 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,826 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.Eltwise1DInputReshape'> will be run after <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'>
[ 2020-01-28 10:43:47,826 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,827 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.EltwiseInputReshape.EltwiseInputReshape'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,830 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,834 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.EltwiseInputNormalization.EltwiseInputNormalize'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,834 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,835 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,835 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'> will be run after <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ 2020-01-28 10:43:47,836 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.DynamicDecoderConditionMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,836 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorCondition.DynamicDecoderConditionMatcher'> will be run after <class 'extensions.middle.TensorIteratorCondition.SimpleConditionMatcher'>
[ 2020-01-28 10:43:47,837 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'> will be run after <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ 2020-01-28 10:43:47,838 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,842 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.AnchorToPriorBox.AnchorToPriorBoxes'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,842 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.AnchorToPriorBox.AnchorToPriorBoxes'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,843 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.BiasAddBroadcasting.BiasAddInputBroadcasting'> will be run before <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
[ 2020-01-28 10:43:47,844 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.BiasAddBroadcasting.BiasAddInputBroadcasting'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,844 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.CheckForCycle.CheckForCycle'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,844 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'> will be run after <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'>
[ 2020-01-28 10:43:47,845 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'> will be run before <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ 2020-01-28 10:43:47,845 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'> will be run before <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ 2020-01-28 10:43:47,846 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run before <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ 2020-01-28 10:43:47,846 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,846 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'> will be run after <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ 2020-01-28 10:43:47,847 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveIdentity'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,847 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveIdentity'> will be run after <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ 2020-01-28 10:43:47,848 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveDropout'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,848 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveDropout'> will be run after <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ 2020-01-28 10:43:47,849 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,849 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RemoveIdentity.RemoveNodesWithZeroPhase'> will be run after <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ 2020-01-28 10:43:47,849 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.Cast.CastToFloatMark'> will be run before <class 'extensions.middle.RemoveIdentity.RemoveIdentity'>
[ 2020-01-28 10:43:47,850 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.Cast.CastToFloatMark'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,856 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ChangePlaceholderTypes.ChangePlaceholderTypes'> will be run before <class 'extensions.middle.ScaleInput.ScaleInput'>
[ 2020-01-28 10:43:47,857 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,857 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,858 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,858 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ConvToBinaryConv.ConvToBinaryConv'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,859 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,859 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2020-01-28 10:43:47,860 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,860 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ConvertLayoutDependentOperations.ConvertLayoutDependentOperations'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,861 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,861 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ConvertMultiInputConv.ConvertMultiInputConv'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,862 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,862 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.CustomSubgraphCall.CustomSubgraphCall'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,863 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.DecomposeBias.DecomposeBias'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,863 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.DecomposeBias.DecomposeBias'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,863 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,864 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'> will be run after <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2020-01-28 10:43:47,869 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'> will be run after <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'>
[ 2020-01-28 10:43:47,870 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'> will be run after <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2020-01-28 10:43:47,871 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.DepthToSpace.DepthToSpace'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,872 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.DepthToSpace.DepthToSpace'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,872 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,873 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.DilatedConvolution.DilatedConvolutionConverter'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,873 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.FakeSplitOutputs.AddFakeOutputsToSplit'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,874 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.FakeSplitOutputs.AddFakeOutputsToSplit'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,874 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.FlattenONNXToReshape.FlattenONNXToReshape'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,874 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.FlattenONNXToReshape.FlattenONNXToReshape'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,875 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,875 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.FusedBatchNormNonConstant.FusedBatchNormNonConstant'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,875 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,876 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.FusedBatchNormTrainingCatch.FusedBatchNormTrainingCatch'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,876 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'> will be run before <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'>
[ 2020-01-28 10:43:47,877 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.GRURNNSequenceToTensorIterator.GRUAndRNNToTensorIterator'> will be run after <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ 2020-01-28 10:43:47,881 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.GatherNdNormalizer.GatherNdNormalize'> will be run before <class 'extensions.middle.BlockLSTMtoLSTMSequence.BlockLSTMtoLSTMSequence'>
[ 2020-01-28 10:43:47,884 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.GatherNdNormalizer.GatherNdNormalize'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,885 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.GemmResolver.GemmResolver'> will be run before <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'>
[ 2020-01-28 10:43:47,885 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.GemmResolver.GemmResolver'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,886 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,886 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,888 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.InputCut.MiddleInputCut'> will be run before <class 'extensions.middle.ChangePlaceholderTypes.ChangePlaceholderTypes'>
[ 2020-01-28 10:43:47,888 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.InputCut.MiddleInputCut'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,889 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.InsertSelect.AddSelectBeforeMemoryNodePattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,889 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.InsertSelect.AddSelectBeforeMemoryNodePattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,890 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.L2NormToNorm.L2NormToNorm'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,894 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.L2NormToNorm.L2NormToNorm'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,895 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,895 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'> will be run after <class 'extensions.middle.DecomposeBidirectionalRNNSequence.DecomposeBidirectionalRNNSequence'>
[ 2020-01-28 10:43:47,896 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'> will be run before <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'>
[ 2020-01-28 10:43:47,896 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'> will be run after <class 'extensions.middle.RNNSequenceNormalizeToIE.RNNSequenceNormalize'>
[ 2020-01-28 10:43:47,897 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,897 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.MXNetRNNSequenceNormalize.MXNetRNNSequenceNormalize'> will be run after <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'>
[ 2020-01-28 10:43:47,898 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,898 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.MXNetSplitMultiLayers.MXNetSplitLayersToRNNSequence'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,899 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,899 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.MinimumMiddleReplacer.MinimumMiddleReplacer'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,899 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.NasNet.NasNet'> will be run after <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,900 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,900 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.NormalizeFullyConnected.NormalizeFullyConnected'> will be run after <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'>
[ 2020-01-28 10:43:47,901 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.NormalizePad.NormalizePad'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,901 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.NormalizePad.NormalizePad'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,902 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,910 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,910 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ReluFakeQuantizeMark'> will be run before <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ 2020-01-28 10:43:47,912 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ReluFakeQuantizeMark'> will be run after <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ 2020-01-28 10:43:47,912 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ClampQuantizeMark'> will be run before <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ 2020-01-28 10:43:47,912 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ClampQuantizeMark'> will be run after <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ 2020-01-28 10:43:47,913 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'> will be run before <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'>
[ 2020-01-28 10:43:47,913 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReluQuantizeFuse.ReluQuantizeFuse'> will be run after <class 'extensions.middle.ReluQuantizeFuse.ReluFakeQuantizeMark'>
[ 2020-01-28 10:43:47,914 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.RemoveDuplicationMemory.RemoveMemoryDuplicationPattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,914 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RemoveDuplicationMemory.RemoveMemoryDuplicationPattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,915 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.RemoveDuplicationMemory.MergeNeighborSplicePattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,915 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RemoveDuplicationMemory.MergeNeighborSplicePattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,915 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RemoveRedundantReshapeAfterCropAndResize.RemoveRedundantReshapeAfterCropAndResize'> will be run after <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,916 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.RemoveUselessCrops.RemoveUselessCropsPattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,916 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.RemoveUselessCrops.RemoveUselessCropsPattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,917 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetNodePattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,917 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetNodePattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,917 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetWithMemoryNodePattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,923 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReplaceMemoryOffsetWithSplice.ReplaceMemoryOffsetWithMemoryNodePattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,923 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReplacePNorm.ReplacePNormNodePattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,925 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReplacePNorm.ReplacePNormNodePattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,925 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReplaceSpliceNodePattern.ReplaceSpliceNodePattern'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,926 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReplaceSpliceNodePattern.ReplaceSpliceNodePattern'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,926 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReverseTransposeNormalization.ReverseTransposeNormalization'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,927 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReverseTransposeNormalization.ReverseTransposeNormalization'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,927 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'> will be run before <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'>
[ 2020-01-28 10:43:47,928 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ReverseV2ToReverseSequence.ReverseToReverseSequence'> will be run after <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2020-01-28 10:43:47,928 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ScaleInput.ScaleInput'> will be run before <class 'extensions.middle.AddMeanScaleValues.AddMeanScaleValues'>
[ 2020-01-28 10:43:47,928 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ScaleInput.ScaleInput'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,929 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'> will be run before <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,929 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.SharedWeightsDuplication.SharedWeightsDuplication'> will be run after <class 'extensions.middle.CheckForCycle.CheckForCycle'>
[ 2020-01-28 10:43:47,930 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,930 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ShuffleChannel.ShuffleChannel'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,930 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxisMiddleReplacer'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,931 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxisMiddleReplacer'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,931 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,937 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'> will be run after <class 'extensions.middle.AddIsCyclicAttribute.AddIsCyclicAttribute'>
[ 2020-01-28 10:43:47,937 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,940 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'> will be run after <class 'extensions.middle.DeleteNotExecutable.DeleteNotExecutable'>
[ 2020-01-28 10:43:47,940 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,940 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorInput.BackEdgeSimpleInputMatcher'> will be run after <class 'extensions.middle.TensorIteratorInput.SimpleInputMatcher'>
[ 2020-01-28 10:43:47,941 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.SwitchMergeOptimization.SwitchMergeMiddleReplacer'> will be run before <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'>
[ 2020-01-28 10:43:47,941 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.SwitchMergeOptimization.SwitchMergeMiddleReplacer'> will be run after <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2020-01-28 10:43:47,942 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> will be run before <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'>
[ 2020-01-28 10:43:47,942 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,943 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,943 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'> will be run after <class 'extensions.middle.TensorIteratorCondition.DynamicDecoderConditionMatcher'>
[ 2020-01-28 10:43:47,943 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,944 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorConditionChecker.ConditionChecks'> will be run after <class 'extensions.middle.TensorIteratorBackEdge.BackEdgesMatching'>
[ 2020-01-28 10:43:47,944 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,945 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,945 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'> will be run after <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2020-01-28 10:43:47,945 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorLSTMToLSTMSequence.TensorIteratorLSTM'> will be run after <class 'extensions.middle.TF_lstm_cell_to_generic.TensorFlowLSTMtoGeneric'>
[ 2020-01-28 10:43:47,946 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,950 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'> will be run after <class 'extensions.middle.TensorIteratorInput.SmartInputMatcher'>
[ 2020-01-28 10:43:47,952 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'> will be run before <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,952 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'> will be run before <class 'extensions.middle.TensorIteratorCondition.LoopConditionMatcher'>
[ 2020-01-28 10:43:47,953 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TensorIteratorOutput.SimpleOutputMatcher'> will be run after <class 'extensions.middle.TensorIteratorOutput.SmartOutputMatcher'>
[ 2020-01-28 10:43:47,953 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.TileReplacer.TileMultipleAxisReplacer'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,955 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.TileReplacer.TileMultipleAxisReplacer'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,956 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.UpsampleToResample.UpsampleToResample'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,956 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.UpsampleToResample.UpsampleToResample'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,957 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,957 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.UselessMerge.UselessMergeEraser'> will be run after <class 'extensions.middle.ConstSwitchResolver.ConstSwitchEraser'>
[ 2020-01-28 10:43:47,957 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'> will be run before <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,958 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.UselessSplitEraser.UselessSplitEraser'> will be run after <class 'extensions.middle.pass_separator.PreMiddleStart'>
[ 2020-01-28 10:43:47,958 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run before <class 'extensions.middle.ConvertGroupedStridedSlice.ConvertGroupedStridedSlice'>
[ 2020-01-28 10:43:47,959 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.UselessStridedSlice.UselessStridedSliceEraser'> will be run after <class 'extensions.middle.SliceConverter.ConvertSlice'>
[ 2020-01-28 10:43:47,963 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'> will be run after <class 'extensions.middle.TensorIteratorMerge.TensorIteratorMerge'>
[ 2020-01-28 10:43:47,964 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'> will be run after <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2020-01-28 10:43:47,965 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'> will be run after <class 'extensions.middle.LSTMRNNSequenceToTensorIterator.LSTMToTensorIterator'>
[ 2020-01-28 10:43:47,965 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'> will be run after <class 'extensions.middle.SwapAxesMiddleReplacer.SwapAxisMiddleReplacer'>
[ 2020-01-28 10:43:47,966 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.quantize_fuses.MarkNodesToFuseUpToFakeQuantize'> will be run after <class 'extensions.middle.DeleteControlFlowEdges.DeleteControlFlowEdges'>
[ 2020-01-28 10:43:47,966 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.quantize_fuses.FakeQuantizeFuse'> will be run before <class 'extensions.middle.BinarizeWeightsM1P1.BinarizeWeightsM1P1'>
[ 2020-01-28 10:43:47,967 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.quantize_fuses.FakeQuantizeFuse'> will be run after <class 'extensions.middle.quantize_fuses.MarkNodesToFuseUpToFakeQuantize'>
[ 2020-01-28 10:43:47,967 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,967 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.ONNXRNNSequenceNormalize.ONNXRNNSequenceNormalize'>
[ 2020-01-28 10:43:47,968 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.reverse_tensor_iterator.ReverseTensorIteratorLSTM'> will be run after <class 'extensions.middle.permute_tensor_iterator.TransposeTensorIteratorLSTM'>
[ 2020-01-28 10:43:47,968 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.space_to_depth.SpaceToDepth'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,969 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.space_to_depth.SpaceToDepth'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,969 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ssd_anchors_to_const.SsdAnchorsMiddleReplacer'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,970 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ssd_anchors_to_const.SsdAnchorsMiddleReplacer'> will be run after <class 'extensions.middle.AnchorToPriorBox.AnchorToPriorBoxes'>
[ 2020-01-28 10:43:47,970 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.wights_permute_normalizer.WeightsPermuteNormalizer'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,970 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.wights_permute_normalizer.WeightsPermuteNormalizer'> will be run after <class 'extensions.middle.GemmToFullyConnected.GemmToFullyConnected'>
[ 2020-01-28 10:43:47,972 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.ArgMaxToTopK.ArgMaxToTopK'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,977 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.ArgMaxToTopK.ArgMaxToTopK'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,978 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.SliceConverter.ConvertSlice'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,979 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.SliceConverter.ConvertSlice'> will be run after <class 'extensions.middle.pass_separator.MiddleStart'>
[ 2020-01-28 10:43:47,979 ] [ DEBUG ] [ class_registration:244 ]  Replacer <class 'extensions.middle.GroupNorm.GroupNormToMVN'> will be run before <class 'extensions.middle.pass_separator.MiddleFinish'>
[ 2020-01-28 10:43:47,979 ] [ DEBUG ] [ class_registration:247 ]  Replacer <class 'extensions.middle.GroupNorm.GroupNormToMVN'> will be run after <class 'extensions.middle.EltwiseChecker.EltwiseChecker'>
[ 2020-01-28 10:43:47,988 ] [ DEBUG ] [ class_registration:267 ]  Run replacer <class 'extensions.middle.PartialInfer.PartialInfer'>
[ 2020-01-28 10:43:48,000 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,000 ] [ DEBUG ] [ infer:130 ]  Partial infer for 576
[ 2020-01-28 10:43:48,000 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,007 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,009 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,013 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2020-01-28 10:43:48,014 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,015 ] [ DEBUG ] [ infer:130 ]  Partial infer for 573
[ 2020-01-28 10:43:48,016 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,024 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,027 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,027 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2020-01-28 10:43:48,027 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,028 ] [ DEBUG ] [ infer:130 ]  Partial infer for 570
[ 2020-01-28 10:43:48,029 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,033 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,034 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,035 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2020-01-28 10:43:48,036 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,036 ] [ DEBUG ] [ infer:130 ]  Partial infer for 567
[ 2020-01-28 10:43:48,037 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,038 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,040 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,044 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2020-01-28 10:43:48,045 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,045 ] [ DEBUG ] [ infer:130 ]  Partial infer for 564
[ 2020-01-28 10:43:48,045 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,045 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,046 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,046 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2020-01-28 10:43:48,047 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,047 ] [ DEBUG ] [ infer:130 ]  Partial infer for 561
[ 2020-01-28 10:43:48,047 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,050 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,050 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,056 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2020-01-28 10:43:48,056 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,056 ] [ DEBUG ] [ infer:130 ]  Partial infer for 558
[ 2020-01-28 10:43:48,057 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,057 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,058 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,058 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1
[ 2020-01-28 10:43:48,059 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,061 ] [ DEBUG ] [ infer:130 ]  Partial infer for 555
[ 2020-01-28 10:43:48,065 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,065 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,065 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,065 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1.0
[ 2020-01-28 10:43:48,066 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,066 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/Reshape/shape/ExpandDims_502/Dims
[ 2020-01-28 10:43:48,067 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,067 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,068 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,068 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,068 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,069 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/Reshape/shape/ExpandDims_501/Dims
[ 2020-01-28 10:43:48,073 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,077 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,077 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,078 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,078 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,078 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,079 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,079 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,080 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,081 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,084 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,089 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/ExpandDims_498/Dims
[ 2020-01-28 10:43:48,089 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,090 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,090 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,091 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,091 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,091 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/ExpandDims_497/Dims
[ 2020-01-28 10:43:48,092 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,094 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,098 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,098 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,099 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,099 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,099 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,100 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,101 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,101 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,102 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,105 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/ExpandDims_494/Dims
[ 2020-01-28 10:43:48,106 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,110 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,110 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,112 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,112 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,112 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/ExpandDims_493/Dims
[ 2020-01-28 10:43:48,113 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,113 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,114 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,116 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,116 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,120 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,121 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,122 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,122 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,123 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,123 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,123 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_490/Dims
[ 2020-01-28 10:43:48,125 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,127 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,131 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,133 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,134 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,135 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_489/Dims
[ 2020-01-28 10:43:48,137 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,142 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,147 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,148 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,149 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,151 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_488/Dims
[ 2020-01-28 10:43:48,152 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,158 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,159 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,162 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,166 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,170 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,172 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,174 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,177 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,178 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,182 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,183 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/Reshape/shape/ExpandDims_485/Dims
[ 2020-01-28 10:43:48,184 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,185 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,190 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,191 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,196 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,197 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/Reshape/shape/ExpandDims_484/Dims
[ 2020-01-28 10:43:48,198 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,199 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,202 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,208 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,209 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,210 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,211 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,214 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,218 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,220 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,221 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,222 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/Reshape/shape/ExpandDims_481/Dims
[ 2020-01-28 10:43:48,226 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,227 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,231 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,232 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,232 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,234 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/Reshape/shape/ExpandDims_480/Dims
[ 2020-01-28 10:43:48,241 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,241 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,242 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,242 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,242 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,243 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,243 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,244 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,245 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,247 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,250 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,250 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/Reshape/shape/ExpandDims_477/Dims
[ 2020-01-28 10:43:48,251 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,251 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,252 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,252 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,253 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,254 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/Reshape/shape/ExpandDims_476/Dims
[ 2020-01-28 10:43:48,257 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,261 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,261 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,262 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,262 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,263 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,263 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,264 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,264 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,265 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,265 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,265 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/Reshape/shape/ExpandDims_473/Dims
[ 2020-01-28 10:43:48,266 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,268 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,269 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,274 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,275 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,275 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/Reshape/shape/ExpandDims_472/Dims
[ 2020-01-28 10:43:48,275 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,275 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,275 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,276 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,276 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,277 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/Reshape/shape/ExpandDims_/Dims
[ 2020-01-28 10:43:48,279 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,280 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,283 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,284 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,284 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,284 ] [ DEBUG ] [ infer:130 ]  Partial infer for 468
[ 2020-01-28 10:43:48,285 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,285 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,286 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,288 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2020-01-28 10:43:48,290 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,290 ] [ DEBUG ] [ infer:130 ]  Partial infer for 466
[ 2020-01-28 10:43:48,294 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,295 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,295 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,296 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2020-01-28 10:43:48,296 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,297 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_concat/concat/axis
[ 2020-01-28 10:43:48,297 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,297 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,298 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,299 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2
[ 2020-01-28 10:43:48,301 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,307 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_boxes/concat/axis
[ 2020-01-28 10:43:48,307 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,308 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,308 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,308 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2
[ 2020-01-28 10:43:48,309 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,309 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_18/sub/x
[ 2020-01-28 10:43:48,310 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,311 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,312 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,315 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,316 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,316 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/ones_like/Const
[ 2020-01-28 10:43:48,316 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,317 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,317 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,318 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,318 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,319 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/ones_like/Shape
[ 2020-01-28 10:43:48,320 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,323 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,327 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,327 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [3]
[ 2020-01-28 10:43:48,328 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,328 ] [ DEBUG ] [ infer:130 ]  Partial infer for 554
[ 2020-01-28 10:43:48,328 ] [ DEBUG ] [ infer:131 ]  Op: Broadcast
[ 2020-01-28 10:43:48,329 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,329 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,330 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [3]
[ 2020-01-28 10:43:48,330 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,331 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [1 1 1]
[ 2020-01-28 10:43:48,331 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,332 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/Greater/y
[ 2020-01-28 10:43:48,334 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,335 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,340 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,340 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2020-01-28 10:43:48,341 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,341 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/concat/axis
[ 2020-01-28 10:43:48,341 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,342 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,342 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,343 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2020-01-28 10:43:48,345 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,349 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/concat/values_1
[ 2020-01-28 10:43:48,350 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,350 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,351 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,352 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [0], value = []
[ 2020-01-28 10:43:48,353 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,353 ] [ DEBUG ] [ infer:130 ]  Partial infer for mul_1/x
[ 2020-01-28 10:43:48,354 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,356 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,357 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,361 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2.7182817
[ 2020-01-28 10:43:48,364 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,365 ] [ DEBUG ] [ infer:130 ]  Partial infer for add_1/y
[ 2020-01-28 10:43:48,374 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,377 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,381 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,386 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,388 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,391 ] [ DEBUG ] [ infer:130 ]  Partial infer for sub_1/y
[ 2020-01-28 10:43:48,393 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,397 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,399 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,403 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,409 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,410 ] [ DEBUG ] [ infer:130 ]  Partial infer for sub_1/negate_
[ 2020-01-28 10:43:48,410 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:48,411 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,414 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,414 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = -1
[ 2020-01-28 10:43:48,419 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,420 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1.0
[ 2020-01-28 10:43:48,421 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,423 ] [ DEBUG ] [ infer:130 ]  Partial infer for Greater_1/y
[ 2020-01-28 10:43:48,423 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,428 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,429 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,430 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,430 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,431 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_16/sub/x
[ 2020-01-28 10:43:48,431 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,433 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,434 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,440 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,441 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,441 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_15/ones_like/Const
[ 2020-01-28 10:43:48,441 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,442 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,443 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,444 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,448 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,449 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_15/ones_like/Shape
[ 2020-01-28 10:43:48,449 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,450 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,450 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,451 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [3]
[ 2020-01-28 10:43:48,451 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,451 ] [ DEBUG ] [ infer:130 ]  Partial infer for 553
[ 2020-01-28 10:43:48,452 ] [ DEBUG ] [ infer:131 ]  Op: Broadcast
[ 2020-01-28 10:43:48,457 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,462 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,463 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [3]
[ 2020-01-28 10:43:48,463 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,463 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [1 1 1]
[ 2020-01-28 10:43:48,465 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,465 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_15/Greater/y
[ 2020-01-28 10:43:48,469 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,470 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,472 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,473 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2020-01-28 10:43:48,475 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,479 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_15/concat/axis
[ 2020-01-28 10:43:48,479 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,480 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,480 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,481 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0
[ 2020-01-28 10:43:48,481 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,481 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_15/concat/values_1
[ 2020-01-28 10:43:48,482 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,482 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,483 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,485 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [0], value = []
[ 2020-01-28 10:43:48,489 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,490 ] [ DEBUG ] [ infer:130 ]  Partial infer for mul/x
[ 2020-01-28 10:43:48,490 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,491 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,491 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,492 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2.7182817
[ 2020-01-28 10:43:48,492 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,493 ] [ DEBUG ] [ infer:130 ]  Partial infer for add/y
[ 2020-01-28 10:43:48,493 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,494 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,496 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,500 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,502 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,504 ] [ DEBUG ] [ infer:130 ]  Partial infer for sub/y
[ 2020-01-28 10:43:48,507 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,510 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,513 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,514 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,515 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,515 ] [ DEBUG ] [ infer:130 ]  Partial infer for sub/negate_
[ 2020-01-28 10:43:48,518 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:48,524 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,525 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,525 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = -1
[ 2020-01-28 10:43:48,526 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,529 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -1.0
[ 2020-01-28 10:43:48,531 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,536 ] [ DEBUG ] [ infer:130 ]  Partial infer for Greater/y
[ 2020-01-28 10:43:48,537 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,543 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,547 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,551 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:48,556 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,556 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable_3
[ 2020-01-28 10:43:48,563 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,564 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,565 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,570 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[ 11.5362]
  [ 36.7897]
  [197.7966]
  [ 11.5362]
  [ 36.7897]
  [197.7966]
  [ 11.5362]
  [ 36...
[ 2020-01-28 10:43:48,573 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,573 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable_3/read
[ 2020-01-28 10:43:48,574 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:48,574 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,578 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = [[[ 11.5362]
  [ 36.7897]
  [197.7966]
  [ 11.5362]
  [ 36.7897]
  [197.7966]
  [ 11.5362]
  [ 36...
[ 2020-01-28 10:43:48,578 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,586 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[ 11.5362]
  [ 36.7897]
  [197.7966]
  [ 11.5362]
  [ 36.7897]
  [197.7966]
  [ 11.5362]
  [ 36...
[ 2020-01-28 10:43:48,589 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,593 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable_2
[ 2020-01-28 10:43:48,593 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,594 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,594 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,598 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[  9.145 ]
  [ 28.6528]
  [196.446 ]
  [  9.145 ]
  [ 28.6528]
  [196.446 ]
  [  9.145 ]
  [ 28...
[ 2020-01-28 10:43:48,600 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,603 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable_2/read
[ 2020-01-28 10:43:48,604 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:48,605 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,609 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = [[[  9.145 ]
  [ 28.6528]
  [196.446 ]
  [  9.145 ]
  [ 28.6528]
  [196.446 ]
  [  9.145 ]
  [ 28...
[ 2020-01-28 10:43:48,609 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,617 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[  9.145 ]
  [ 28.6528]
  [196.446 ]
  [  9.145 ]
  [ 28.6528]
  [196.446 ]
  [  9.145 ]
  [ 28...
[ 2020-01-28 10:43:48,617 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,621 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable_1
[ 2020-01-28 10:43:48,622 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,623 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,624 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,626 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]...
[ 2020-01-28 10:43:48,627 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,628 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable_1/read
[ 2020-01-28 10:43:48,629 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:48,630 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,636 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = [[[ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]...
[ 2020-01-28 10:43:48,637 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,641 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 29.09091]...
[ 2020-01-28 10:43:48,643 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,647 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable
[ 2020-01-28 10:43:48,647 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,647 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,647 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,651 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 58.18182]
  [ 58.18182]
  [ 58.18182]
  [ 87.27273]...
[ 2020-01-28 10:43:48,657 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,657 ] [ DEBUG ] [ infer:130 ]  Partial infer for Variable/read
[ 2020-01-28 10:43:48,658 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:48,658 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,661 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = [[[ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 58.18182]
  [ 58.18182]
  [ 58.18182]
  [ 87.27273]...
[ 2020-01-28 10:43:48,664 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,671 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = [[[ 29.09091]
  [ 29.09091]
  [ 29.09091]
  [ 58.18182]
  [ 58.18182]
  [ 58.18182]
  [ 87.27273]...
[ 2020-01-28 10:43:48,672 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,675 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_12/Reshape/shape
[ 2020-01-28 10:43:48,675 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,679 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,679 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,680 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [ -1 300   1]
[ 2020-01-28 10:43:48,680 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,681 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_11/Reshape/shape
[ 2020-01-28 10:43:48,681 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,682 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,682 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,682 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [ -1 300   1]
[ 2020-01-28 10:43:48,683 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,683 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_10/Reshape/shape
[ 2020-01-28 10:43:48,684 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,690 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,691 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,691 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [ -1 300   1]
[ 2020-01-28 10:43:48,692 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,692 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_9/Reshape/shape
[ 2020-01-28 10:43:48,693 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,693 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,694 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,694 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [ -1 300   1]
[ 2020-01-28 10:43:48,695 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,697 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/2
[ 2020-01-28 10:43:48,697 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,702 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,703 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,705 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,710 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,711 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/ExpandDims_494539
[ 2020-01-28 10:43:48,715 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,720 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,723 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,725 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,729 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,730 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,731 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,731 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/1
[ 2020-01-28 10:43:48,732 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,735 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,735 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,741 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,742 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,742 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/ExpandDims_493537
[ 2020-01-28 10:43:48,743 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,747 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,750 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,750 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,751 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,752 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:48,752 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,753 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/strided_slice/stack_2
[ 2020-01-28 10:43:48,756 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,760 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,761 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,761 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,762 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,762 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/strided_slice/stack_1
[ 2020-01-28 10:43:48,763 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,763 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,766 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,767 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,773 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,773 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/strided_slice/stack
[ 2020-01-28 10:43:48,773 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,774 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,774 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,775 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,775 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,778 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/Reshape/shape/2
[ 2020-01-28 10:43:48,782 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,783 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,784 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,784 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,785 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,785 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/Reshape/shape/ExpandDims_485525
[ 2020-01-28 10:43:48,786 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,788 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,789 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,790 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,793 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,794 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,794 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,795 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/Reshape/shape/1
[ 2020-01-28 10:43:48,795 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,796 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,796 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,796 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,797 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,797 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/Reshape/shape/ExpandDims_484523
[ 2020-01-28 10:43:48,798 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,801 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,806 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,806 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,807 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,807 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:48,808 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,808 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/strided_slice/stack_2
[ 2020-01-28 10:43:48,808 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,809 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,811 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,816 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,817 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,817 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/strided_slice/stack_1
[ 2020-01-28 10:43:48,817 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,818 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,818 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,818 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,819 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,822 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_5/strided_slice/stack
[ 2020-01-28 10:43:48,822 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,826 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,827 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,828 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,829 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,829 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/Reshape/shape/2
[ 2020-01-28 10:43:48,829 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,830 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,830 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,831 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,833 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,837 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/Reshape/shape/ExpandDims_473507
[ 2020-01-28 10:43:48,838 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,839 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,840 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,840 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,840 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,841 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,841 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,842 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/Reshape/shape/1
[ 2020-01-28 10:43:48,844 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,848 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,848 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,849 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,850 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,850 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/Reshape/shape/ExpandDims_472505
[ 2020-01-28 10:43:48,851 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,852 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,855 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,858 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,858 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,859 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:48,859 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,859 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/strided_slice/stack_2
[ 2020-01-28 10:43:48,860 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,861 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,861 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,862 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,862 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,862 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/strided_slice/stack_1
[ 2020-01-28 10:43:48,863 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,863 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,863 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,864 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,870 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,870 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_4/strided_slice/stack
[ 2020-01-28 10:43:48,872 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,872 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,872 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,873 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,873 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,874 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/Reshape/shape/2
[ 2020-01-28 10:43:48,874 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,875 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,875 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,875 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,878 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,878 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/Reshape/shape/ExpandDims_502551
[ 2020-01-28 10:43:48,882 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,883 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,883 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:48,884 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,884 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,885 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,885 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,885 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/Reshape/shape/1
[ 2020-01-28 10:43:48,886 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,886 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,890 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,890 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,894 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,894 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/Reshape/shape/ExpandDims_501549
[ 2020-01-28 10:43:48,895 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:48,896 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,896 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:48,897 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,897 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,898 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:48,898 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,898 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/strided_slice/stack_2
[ 2020-01-28 10:43:48,899 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,907 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,908 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,909 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,910 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,913 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/strided_slice/stack_1
[ 2020-01-28 10:43:48,913 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,918 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,919 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,920 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:48,920 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,923 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_3/strided_slice/stack
[ 2020-01-28 10:43:48,924 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,927 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,928 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,928 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:48,929 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,929 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_8/strided_slice/stack_2
[ 2020-01-28 10:43:48,929 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,930 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,930 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,931 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:48,933 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,933 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_8/strided_slice/stack_1
[ 2020-01-28 10:43:48,939 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,940 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,940 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,941 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 4]
[ 2020-01-28 10:43:48,941 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,942 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_8/strided_slice/stack
[ 2020-01-28 10:43:48,945 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,949 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,949 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,950 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 3]
[ 2020-01-28 10:43:48,950 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,950 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_7/strided_slice/stack_2
[ 2020-01-28 10:43:48,951 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,951 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,952 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,952 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:48,953 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,955 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_7/strided_slice/stack_1
[ 2020-01-28 10:43:48,956 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,961 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,962 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,964 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 3]
[ 2020-01-28 10:43:48,967 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,968 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_7/strided_slice/stack
[ 2020-01-28 10:43:48,974 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,976 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,979 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,979 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 2]
[ 2020-01-28 10:43:48,983 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,984 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_6/strided_slice/stack_2
[ 2020-01-28 10:43:48,984 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,987 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,989 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,989 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:48,993 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,994 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_6/strided_slice/stack_1
[ 2020-01-28 10:43:48,994 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,995 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:48,995 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:48,996 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 2]
[ 2020-01-28 10:43:48,996 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:48,996 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_6/strided_slice/stack
[ 2020-01-28 10:43:48,997 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:48,999 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,003 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,004 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 1]
[ 2020-01-28 10:43:49,005 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,005 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_5/strided_slice/stack_2
[ 2020-01-28 10:43:49,006 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,007 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,009 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,010 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:49,014 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,014 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_5/strided_slice/stack_1
[ 2020-01-28 10:43:49,015 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,015 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,015 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,016 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 1]
[ 2020-01-28 10:43:49,016 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,017 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_5/strided_slice/stack
[ 2020-01-28 10:43:49,018 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,021 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,023 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,024 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 0]
[ 2020-01-28 10:43:49,024 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,025 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/3
[ 2020-01-28 10:43:49,025 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,026 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,026 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,026 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 4
[ 2020-01-28 10:43:49,027 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,027 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_490533
[ 2020-01-28 10:43:49,028 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,029 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,031 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 4
[ 2020-01-28 10:43:49,031 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,035 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,036 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [4]
[ 2020-01-28 10:43:49,037 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,037 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/2
[ 2020-01-28 10:43:49,038 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,038 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,039 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,039 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,040 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,042 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_489531
[ 2020-01-28 10:43:49,042 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,049 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,050 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,052 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,058 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,059 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:49,060 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,061 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/1
[ 2020-01-28 10:43:49,061 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,062 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,063 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,064 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,067 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,072 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_488529
[ 2020-01-28 10:43:49,072 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,073 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,074 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,074 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,074 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,077 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,077 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,081 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/strided_slice/stack_2
[ 2020-01-28 10:43:49,082 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,082 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,082 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,083 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,083 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,084 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/strided_slice/stack_1
[ 2020-01-28 10:43:49,084 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,085 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,089 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,089 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,093 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,093 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/strided_slice/stack
[ 2020-01-28 10:43:49,093 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,094 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,094 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,095 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,096 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,096 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/Reshape/shape/2
[ 2020-01-28 10:43:49,097 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,099 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,099 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,104 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,104 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,105 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/Reshape/shape/ExpandDims_477513
[ 2020-01-28 10:43:49,105 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,106 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,107 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,107 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,107 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,108 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,110 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,114 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/Reshape/shape/1
[ 2020-01-28 10:43:49,114 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,115 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,115 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,116 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,116 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,117 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/Reshape/shape/ExpandDims_476511
[ 2020-01-28 10:43:49,118 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,119 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,122 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,122 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,126 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,126 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:49,127 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,128 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/strided_slice/stack_2
[ 2020-01-28 10:43:49,128 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,129 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,129 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,130 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,132 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,136 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/strided_slice/stack_1
[ 2020-01-28 10:43:49,136 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,138 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,139 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,140 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,142 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,146 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_prediction_confidences/strided_slice/stack
[ 2020-01-28 10:43:49,146 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,147 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,147 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,148 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,148 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,148 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/Reshape/shape/2
[ 2020-01-28 10:43:49,149 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,150 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,152 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,157 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,158 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,160 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/Reshape/shape/ExpandDims_481519
[ 2020-01-28 10:43:49,163 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,170 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,171 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,175 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,179 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,181 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,185 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,186 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/Reshape/shape/1
[ 2020-01-28 10:43:49,188 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,192 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,194 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,198 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,199 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,200 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/Reshape/shape/ExpandDims_480517
[ 2020-01-28 10:43:49,207 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,210 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,211 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,214 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,215 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,220 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:49,221 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,221 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/strided_slice/stack_2
[ 2020-01-28 10:43:49,223 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,225 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,226 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,230 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,231 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,231 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/strided_slice/stack_1
[ 2020-01-28 10:43:49,232 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,233 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,233 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,237 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,240 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,242 ] [ DEBUG ] [ infer:130 ]  Partial infer for output_class_probabilities/strided_slice/stack
[ 2020-01-28 10:43:49,243 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,245 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,248 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,249 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,255 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,255 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/2
[ 2020-01-28 10:43:49,256 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,259 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,259 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,263 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 4
[ 2020-01-28 10:43:49,265 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,265 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/ExpandDims_498545
[ 2020-01-28 10:43:49,265 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,267 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,269 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 4
[ 2020-01-28 10:43:49,274 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,275 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,276 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [4]
[ 2020-01-28 10:43:49,276 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,276 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/1
[ 2020-01-28 10:43:49,277 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,277 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,278 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,280 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,284 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,284 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/ExpandDims_497543
[ 2020-01-28 10:43:49,285 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:49,286 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,286 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 300
[ 2020-01-28 10:43:49,287 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,287 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,288 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [300]
[ 2020-01-28 10:43:49,289 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,290 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/strided_slice/stack_2
[ 2020-01-28 10:43:49,294 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,295 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,295 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,296 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,296 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,296 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/strided_slice/stack_1
[ 2020-01-28 10:43:49,297 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,297 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,297 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,298 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:49,298 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,299 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/strided_slice/stack
[ 2020-01-28 10:43:49,302 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,307 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,307 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,308 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [0]
[ 2020-01-28 10:43:49,308 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,308 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_4/strided_slice/stack_2
[ 2020-01-28 10:43:49,309 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,309 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,310 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,312 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:49,316 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,316 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_4/strided_slice/stack_1
[ 2020-01-28 10:43:49,317 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,317 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,318 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,318 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 0]
[ 2020-01-28 10:43:49,319 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,319 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_4/strided_slice/stack
[ 2020-01-28 10:43:49,321 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,323 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,327 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,329 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 6]
[ 2020-01-28 10:43:49,331 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,335 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_3/strided_slice/stack_2
[ 2020-01-28 10:43:49,341 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,342 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,343 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,348 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:49,350 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,356 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_3/strided_slice/stack_1
[ 2020-01-28 10:43:49,359 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,361 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,364 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,365 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 6]
[ 2020-01-28 10:43:49,366 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,367 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_3/strided_slice/stack
[ 2020-01-28 10:43:49,373 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,373 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,378 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,379 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 3]
[ 2020-01-28 10:43:49,379 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,380 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_2/strided_slice/stack_2
[ 2020-01-28 10:43:49,380 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,382 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,384 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,389 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:49,389 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,390 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_2/strided_slice/stack_1
[ 2020-01-28 10:43:49,390 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,390 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,392 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,394 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 3]
[ 2020-01-28 10:43:49,394 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,398 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_2/strided_slice/stack
[ 2020-01-28 10:43:49,399 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,399 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,400 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,400 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 0 0 0]
[ 2020-01-28 10:43:49,400 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,401 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_1/transpose/perm
[ 2020-01-28 10:43:49,401 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,402 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,405 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,410 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [0 2 3 1]
[ 2020-01-28 10:43:49,410 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,411 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv12/bias
[ 2020-01-28 10:43:49,411 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,412 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,412 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,413 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [18], value = [ 1.3714572e-04 -1.3714572e-04  0.0000000e+00 -8.3691019e-01
 -3.4491283e-01 -6.2842113e-01  6.87...
[ 2020-01-28 10:43:49,414 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,414 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv12/bias/read
[ 2020-01-28 10:43:49,415 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,418 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,423 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [18], value = [ 1.3714572e-04 -1.3714572e-04  0.0000000e+00 -8.3691019e-01
 -3.4491283e-01 -6.2842113e-01  6.87...
[ 2020-01-28 10:43:49,424 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,425 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [18], value = [ 1.3714572e-04 -1.3714572e-04  0.0000000e+00 -8.3691019e-01
 -3.4491283e-01 -6.2842113e-01  6.87...
[ 2020-01-28 10:43:49,428 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,432 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv12/kernel
[ 2020-01-28 10:43:49,433 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,433 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,434 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,438 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3 768  18], value = [[[[ 3.07378104e-05  9.64541468e-05 -1.27995270e-04 ... -2.68757064e-03
    -4.88787098e-03 -9.00...
[ 2020-01-28 10:43:49,439 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,443 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv12/kernel/read
[ 2020-01-28 10:43:49,443 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,444 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,447 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3 768  18], value = [[[[ 3.07378104e-05  9.64541468e-05 -1.27995270e-04 ... -2.68757064e-03
    -4.88787098e-03 -9.00...
[ 2020-01-28 10:43:49,449 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,457 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3 768  18], value = [[[[ 3.07378104e-05  9.64541468e-05 -1.27995270e-04 ... -2.68757064e-03
    -4.88787098e-03 -9.00...
[ 2020-01-28 10:43:49,458 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,463 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/keras_learning_phase/input
[ 2020-01-28 10:43:49,463 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,464 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,464 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,464 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = False
[ 2020-01-28 10:43:49,465 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,465 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/keras_learning_phase
[ 2020-01-28 10:43:49,466 ] [ DEBUG ] [ infer:131 ]  Op: PlaceholderWithDefault
[ INFO ]  Called "tf_native_tf_node_infer" for node "drop11/keras_learning_phase"
[ WARNING ]  From %s: The name %s is deprecated. Please use %s instead.

[ 2020-01-28 10:43:49,474 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'drop11/keras_learning_phase/input_port_0_ie_placeholder'
[ 2020-01-28 10:43:49,474 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'drop11/keras_learning_phase/input' with input 'drop11/keras_learning_phase/input_port_0_ie_placeholder'
[ 2020-01-28 10:43:49,474 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'drop11/keras_learning_phase' with placeholder 'drop11/keras_learning_phase/input_port_0_ie_placeholder'
[ WARNING ]  From %s: The name %s is deprecated. Please use %s instead.

[ 2020-01-28 10:43:49,487 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'drop11/keras_learning_phase': '[]'
[ 2020-01-28 10:43:49,488 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,490 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = False
[ 2020-01-28 10:43:49,491 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,492 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = False
[ 2020-01-28 10:43:49,496 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,496 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/pred_id
[ 2020-01-28 10:43:49,497 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,498 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,499 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = False
[ 2020-01-28 10:43:49,499 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,500 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = False
[ 2020-01-28 10:43:49,502 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,507 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/Switch
[ 2020-01-28 10:43:49,509 ] [ DEBUG ] [ infer:131 ]  Op: Switch
[ 2020-01-28 10:43:49,511 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,519 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = False
[ 2020-01-28 10:43:49,520 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = False
[ 2020-01-28 10:43:49,524 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,525 ] [ DEBUG ] [ infer:32 ]  output[1]: shape = [], value = False
[ 2020-01-28 10:43:49,530 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,531 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/switch_t
[ 2020-01-28 10:43:49,536 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,537 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,540 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = False
[ 2020-01-28 10:43:49,540 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,545 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = False
[ 2020-01-28 10:43:49,546 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,546 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/random_uniform/max
[ 2020-01-28 10:43:49,547 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,548 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,550 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,551 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:49,557 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,557 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/random_uniform/min
[ 2020-01-28 10:43:49,558 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,558 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,561 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,561 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0.0
[ 2020-01-28 10:43:49,565 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,566 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/random_uniform/sub/negate_
[ 2020-01-28 10:43:49,566 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:49,567 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,567 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 0.0
[ 2020-01-28 10:43:49,568 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = -1
[ 2020-01-28 10:43:49,568 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,571 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = -0.0
[ 2020-01-28 10:43:49,572 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,575 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/random_uniform/sub/add_
[ 2020-01-28 10:43:49,576 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:49,577 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,577 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = -0.0
[ 2020-01-28 10:43:49,577 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 1.0
[ 2020-01-28 10:43:49,578 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,579 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:49,579 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,579 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/keep_prob
[ 2020-01-28 10:43:49,580 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,582 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,583 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,588 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 0.5
[ 2020-01-28 10:43:49,589 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,589 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/div/reciprocal_
[ 2020-01-28 10:43:49,589 ] [ DEBUG ] [ infer:131 ]  Op: Pow
[ 2020-01-28 10:43:49,590 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,590 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 0.5
[ 2020-01-28 10:43:49,592 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = -1.0
[ 2020-01-28 10:43:49,593 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,598 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 2.0
[ 2020-01-28 10:43:49,598 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,599 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/mul/y
[ 2020-01-28 10:43:49,600 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,601 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,601 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,605 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1.0
[ 2020-01-28 10:43:49,607 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,608 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_10/concat/axis
[ 2020-01-28 10:43:49,608 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,609 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,609 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,609 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,610 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,610 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand3x3/bias
[ 2020-01-28 10:43:49,611 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,611 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,612 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,616 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [ 2.65479814e-02  1.06675609e-03  8.64031166e-03 -6.69375062e-03
  1.81316584e-02 -3.31318122e-03...
[ 2020-01-28 10:43:49,616 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,620 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand3x3/bias/read
[ 2020-01-28 10:43:49,621 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,622 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,625 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [384], value = [ 2.65479814e-02  1.06675609e-03  8.64031166e-03 -6.69375062e-03
  1.81316584e-02 -3.31318122e-03...
[ 2020-01-28 10:43:49,626 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,633 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [ 2.65479814e-02  1.06675609e-03  8.64031166e-03 -6.69375062e-03
  1.81316584e-02 -3.31318122e-03...
[ 2020-01-28 10:43:49,635 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,640 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand3x3/kernel
[ 2020-01-28 10:43:49,641 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,641 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,642 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,646 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  96 384], value = [[[[-6.02865033e-03 -2.43702772e-04 -3.58522637e-03 ...  3.14422557e-03
    -1.90409820e-03 -2.21...
[ 2020-01-28 10:43:49,649 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,650 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand3x3/kernel/read
[ 2020-01-28 10:43:49,650 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,651 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,654 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  96 384], value = [[[[-6.02865033e-03 -2.43702772e-04 -3.58522637e-03 ...  3.14422557e-03
    -1.90409820e-03 -2.21...
[ 2020-01-28 10:43:49,656 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,662 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  96 384], value = [[[[-6.02865033e-03 -2.43702772e-04 -3.58522637e-03 ...  3.14422557e-03
    -1.90409820e-03 -2.21...
[ 2020-01-28 10:43:49,664 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,666 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand1x1/bias
[ 2020-01-28 10:43:49,672 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,673 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,674 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,677 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [ 1.55471312e-02  1.72632944e-03  1.23405429e-02  1.49003882e-02
  1.43880825e-02  4.66054800e-04...
[ 2020-01-28 10:43:49,678 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,683 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand1x1/bias/read
[ 2020-01-28 10:43:49,683 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,684 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,688 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [384], value = [ 1.55471312e-02  1.72632944e-03  1.23405429e-02  1.49003882e-02
  1.43880825e-02  4.66054800e-04...
[ 2020-01-28 10:43:49,689 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,694 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [ 1.55471312e-02  1.72632944e-03  1.23405429e-02  1.49003882e-02
  1.43880825e-02  4.66054800e-04...
[ 2020-01-28 10:43:49,695 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,695 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand1x1/kernel
[ 2020-01-28 10:43:49,696 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,697 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,699 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,700 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  96 384], value = [[[[-0.00126329 -0.00726753 -0.00838436 ... -0.00087139  0.00814331
    -0.01353289]
   [-0.00570...
[ 2020-01-28 10:43:49,705 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,706 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand1x1/kernel/read
[ 2020-01-28 10:43:49,706 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,707 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,708 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  96 384], value = [[[[-0.00126329 -0.00726753 -0.00838436 ... -0.00087139  0.00814331
    -0.01353289]
   [-0.00570...
[ 2020-01-28 10:43:49,710 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,715 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  96 384], value = [[[[-0.00126329 -0.00726753 -0.00838436 ... -0.00087139  0.00814331
    -0.01353289]
   [-0.00570...
[ 2020-01-28 10:43:49,716 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,716 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/squeeze1x1/bias
[ 2020-01-28 10:43:49,716 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,717 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,717 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,719 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [96], value = [ 1.58068109e-02 -1.95669266e-03  3.04841995e-03  4.03467081e-02
  3.64695527e-02  2.06387376e-05...
[ 2020-01-28 10:43:49,723 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,723 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/squeeze1x1/bias/read
[ 2020-01-28 10:43:49,724 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,724 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,727 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [96], value = [ 1.58068109e-02 -1.95669266e-03  3.04841995e-03  4.03467081e-02
  3.64695527e-02  2.06387376e-05...
[ 2020-01-28 10:43:49,727 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,729 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [96], value = [ 1.58068109e-02 -1.95669266e-03  3.04841995e-03  4.03467081e-02
  3.64695527e-02  2.06387376e-05...
[ 2020-01-28 10:43:49,729 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,730 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/squeeze1x1/kernel
[ 2020-01-28 10:43:49,732 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,735 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,736 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,738 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 768  96], value = [[[[ 0.00305613 -0.00249171 -0.0012172  ...  0.00161176 -0.01141276
     0.00470073]
   [-0.00781...
[ 2020-01-28 10:43:49,739 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,741 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/squeeze1x1/kernel/read
[ 2020-01-28 10:43:49,742 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,743 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,748 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 768  96], value = [[[[ 0.00305613 -0.00249171 -0.0012172  ...  0.00161176 -0.01141276
     0.00470073]
   [-0.00781...
[ 2020-01-28 10:43:49,748 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,750 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 768  96], value = [[[[ 0.00305613 -0.00249171 -0.0012172  ...  0.00161176 -0.01141276
     0.00470073]
   [-0.00781...
[ 2020-01-28 10:43:49,750 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,751 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_9/concat/axis
[ 2020-01-28 10:43:49,752 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,756 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,759 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,760 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,760 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,761 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand3x3/bias
[ 2020-01-28 10:43:49,761 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,761 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,761 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,765 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [-8.70239979e-04 -4.75701818e-05  3.59632331e-03 -4.17141564e-04
 -4.93671396e-04  1.12183996e-04...
[ 2020-01-28 10:43:49,766 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,770 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand3x3/bias/read
[ 2020-01-28 10:43:49,772 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,772 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,776 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [384], value = [-8.70239979e-04 -4.75701818e-05  3.59632331e-03 -4.17141564e-04
 -4.93671396e-04  1.12183996e-04...
[ 2020-01-28 10:43:49,776 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,784 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [-8.70239979e-04 -4.75701818e-05  3.59632331e-03 -4.17141564e-04
 -4.93671396e-04  1.12183996e-04...
[ 2020-01-28 10:43:49,791 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,791 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand3x3/kernel
[ 2020-01-28 10:43:49,791 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,791 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,792 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,795 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  96 384], value = [[[[-6.90733781e-03 -1.12262173e-02  1.73429158e-02 ...  1.24422321e-03
    -1.06848346e-03  1.47...
[ 2020-01-28 10:43:49,796 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,801 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand3x3/kernel/read
[ 2020-01-28 10:43:49,802 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,803 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,806 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  96 384], value = [[[[-6.90733781e-03 -1.12262173e-02  1.73429158e-02 ...  1.24422321e-03
    -1.06848346e-03  1.47...
[ 2020-01-28 10:43:49,807 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,815 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  96 384], value = [[[[-6.90733781e-03 -1.12262173e-02  1.73429158e-02 ...  1.24422321e-03
    -1.06848346e-03  1.47...
[ 2020-01-28 10:43:49,817 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,823 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand1x1/bias
[ 2020-01-28 10:43:49,823 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,824 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,824 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,827 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [-5.14949243e-05 -3.45931185e-04  2.30110483e-04  1.04385149e-03
  1.06881373e-03  8.41993839e-04...
[ 2020-01-28 10:43:49,829 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,832 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand1x1/bias/read
[ 2020-01-28 10:43:49,832 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,833 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,837 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [384], value = [-5.14949243e-05 -3.45931185e-04  2.30110483e-04  1.04385149e-03
  1.06881373e-03  8.41993839e-04...
[ 2020-01-28 10:43:49,841 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,844 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [384], value = [-5.14949243e-05 -3.45931185e-04  2.30110483e-04  1.04385149e-03
  1.06881373e-03  8.41993839e-04...
[ 2020-01-28 10:43:49,845 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,847 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand1x1/kernel
[ 2020-01-28 10:43:49,847 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,852 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,852 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,855 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  96 384], value = [[[[-1.1373861e-02  8.5675716e-03 -1.8393116e-04 ... -8.7603787e-03
    -1.6966587e-03 -1.0258706...
[ 2020-01-28 10:43:49,857 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,861 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand1x1/kernel/read
[ 2020-01-28 10:43:49,861 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,862 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,863 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  96 384], value = [[[[-1.1373861e-02  8.5675716e-03 -1.8393116e-04 ... -8.7603787e-03
    -1.6966587e-03 -1.0258706...
[ 2020-01-28 10:43:49,863 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,864 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  96 384], value = [[[[-1.1373861e-02  8.5675716e-03 -1.8393116e-04 ... -8.7603787e-03
    -1.6966587e-03 -1.0258706...
[ 2020-01-28 10:43:49,867 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,873 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/squeeze1x1/bias
[ 2020-01-28 10:43:49,873 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,874 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,874 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,875 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [96], value = [ 8.52435624e-05  5.54647064e-04  1.16982311e-03  2.87238305e-04
  6.18462625e-04 -5.56338964e-05...
[ 2020-01-28 10:43:49,876 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,878 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/squeeze1x1/bias/read
[ 2020-01-28 10:43:49,879 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,882 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,884 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [96], value = [ 8.52435624e-05  5.54647064e-04  1.16982311e-03  2.87238305e-04
  6.18462625e-04 -5.56338964e-05...
[ 2020-01-28 10:43:49,884 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,886 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [96], value = [ 8.52435624e-05  5.54647064e-04  1.16982311e-03  2.87238305e-04
  6.18462625e-04 -5.56338964e-05...
[ 2020-01-28 10:43:49,889 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,889 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/squeeze1x1/kernel
[ 2020-01-28 10:43:49,894 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,894 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,894 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,895 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 512  96], value = [[[[ 0.00361631 -0.01045787  0.01475746 ...  0.00048118  0.01169763
    -0.00353438]
   [-0.00701...
[ 2020-01-28 10:43:49,896 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,896 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/squeeze1x1/kernel/read
[ 2020-01-28 10:43:49,896 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,897 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,898 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 512  96], value = [[[[ 0.00361631 -0.01045787  0.01475746 ...  0.00048118  0.01169763
    -0.00353438]
   [-0.00701...
[ 2020-01-28 10:43:49,900 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,908 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 512  96], value = [[[[ 0.00361631 -0.01045787  0.01475746 ...  0.00048118  0.01169763
    -0.00353438]
   [-0.00701...
[ 2020-01-28 10:43:49,908 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,911 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_8/concat/axis
[ 2020-01-28 10:43:49,912 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,916 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,917 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,917 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:49,918 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,918 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand3x3/bias
[ 2020-01-28 10:43:49,919 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,921 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,923 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,929 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [ 4.44143312e-03 -3.32379551e-03 -1.79354829e-04  4.54174262e-03
 -2.17015808e-03  4.41699615e-03...
[ 2020-01-28 10:43:49,930 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,930 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand3x3/bias/read
[ 2020-01-28 10:43:49,931 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,933 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,936 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [256], value = [ 4.44143312e-03 -3.32379551e-03 -1.79354829e-04  4.54174262e-03
 -2.17015808e-03  4.41699615e-03...
[ 2020-01-28 10:43:49,940 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,944 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [ 4.44143312e-03 -3.32379551e-03 -1.79354829e-04  4.54174262e-03
 -2.17015808e-03  4.41699615e-03...
[ 2020-01-28 10:43:49,944 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,948 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand3x3/kernel
[ 2020-01-28 10:43:49,949 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,949 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,950 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,954 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  64 256], value = [[[[ 0.0878581   0.0397568   0.09922814 ...  0.05736951  0.0129834
     0.01432996]
   [-0.089191...
[ 2020-01-28 10:43:49,955 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,959 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand3x3/kernel/read
[ 2020-01-28 10:43:49,959 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,960 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,964 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  64 256], value = [[[[ 0.0878581   0.0397568   0.09922814 ...  0.05736951  0.0129834
     0.01432996]
   [-0.089191...
[ 2020-01-28 10:43:49,965 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,972 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  64 256], value = [[[[ 0.0878581   0.0397568   0.09922814 ...  0.05736951  0.0129834
     0.01432996]
   [-0.089191...
[ 2020-01-28 10:43:49,975 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,980 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand1x1/bias
[ 2020-01-28 10:43:49,980 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:49,981 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,981 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:49,984 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [ 1.97909568e-02  7.99767952e-03  2.14304682e-02  2.80183367e-02
  1.64285600e-02  1.08700404e-02...
[ 2020-01-28 10:43:49,990 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:49,991 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand1x1/bias/read
[ 2020-01-28 10:43:49,991 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:49,992 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:49,994 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [256], value = [ 1.97909568e-02  7.99767952e-03  2.14304682e-02  2.80183367e-02
  1.64285600e-02  1.08700404e-02...
[ 2020-01-28 10:43:49,996 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,002 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [ 1.97909568e-02  7.99767952e-03  2.14304682e-02  2.80183367e-02
  1.64285600e-02  1.08700404e-02...
[ 2020-01-28 10:43:50,003 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,005 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand1x1/kernel
[ 2020-01-28 10:43:50,009 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,010 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,010 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,011 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  64 256], value = [[[[-0.09155547  0.00119148  0.07150049 ... -0.01778622  0.06507553
     0.14193833]
   [-0.04698...
[ 2020-01-28 10:43:50,012 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,012 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand1x1/kernel/read
[ 2020-01-28 10:43:50,012 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,013 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,016 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  64 256], value = [[[[-0.09155547  0.00119148  0.07150049 ... -0.01778622  0.06507553
     0.14193833]
   [-0.04698...
[ 2020-01-28 10:43:50,021 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,022 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  64 256], value = [[[[-0.09155547  0.00119148  0.07150049 ... -0.01778622  0.06507553
     0.14193833]
   [-0.04698...
[ 2020-01-28 10:43:50,023 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,023 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/squeeze1x1/bias
[ 2020-01-28 10:43:50,023 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,026 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,026 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,031 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 7.9631440e-02 -4.6922490e-02 -1.1765596e-01  1.0800725e-01
 -8.0674589e-03 -5.4216403e-01  5.10...
[ 2020-01-28 10:43:50,032 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,032 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/squeeze1x1/bias/read
[ 2020-01-28 10:43:50,033 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,033 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,034 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [64], value = [ 7.9631440e-02 -4.6922490e-02 -1.1765596e-01  1.0800725e-01
 -8.0674589e-03 -5.4216403e-01  5.10...
[ 2020-01-28 10:43:50,038 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,043 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 7.9631440e-02 -4.6922490e-02 -1.1765596e-01  1.0800725e-01
 -8.0674589e-03 -5.4216403e-01  5.10...
[ 2020-01-28 10:43:50,044 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,044 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/squeeze1x1/kernel
[ 2020-01-28 10:43:50,044 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,045 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,045 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,047 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 512  64], value = [[[[ 0.02406123  0.03069104 -0.03635762 ...  0.12538013  0.04766289
     0.02405885]
   [-0.01868...
[ 2020-01-28 10:43:50,054 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,054 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/squeeze1x1/kernel/read
[ 2020-01-28 10:43:50,055 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,055 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,056 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 512  64], value = [[[[ 0.02406123  0.03069104 -0.03635762 ...  0.12538013  0.04766289
     0.02405885]
   [-0.01868...
[ 2020-01-28 10:43:50,057 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,059 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 512  64], value = [[[[ 0.02406123  0.03069104 -0.03635762 ...  0.12538013  0.04766289
     0.02405885]
   [-0.01868...
[ 2020-01-28 10:43:50,060 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,063 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_7/concat/axis
[ 2020-01-28 10:43:50,064 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,065 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,065 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,065 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:50,066 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,066 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand3x3/bias
[ 2020-01-28 10:43:50,067 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,070 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,072 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,075 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [-4.26048152e-02 -7.63704032e-02  1.23823052e-02 -2.54155323e-02
  3.74154076e-02  3.26950252e-02...
[ 2020-01-28 10:43:50,076 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,077 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand3x3/bias/read
[ 2020-01-28 10:43:50,077 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,078 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,080 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [256], value = [-4.26048152e-02 -7.63704032e-02  1.23823052e-02 -2.54155323e-02
  3.74154076e-02  3.26950252e-02...
[ 2020-01-28 10:43:50,081 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,087 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [-4.26048152e-02 -7.63704032e-02  1.23823052e-02 -2.54155323e-02
  3.74154076e-02  3.26950252e-02...
[ 2020-01-28 10:43:50,088 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,089 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand3x3/kernel
[ 2020-01-28 10:43:50,091 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,091 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,095 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,098 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  64 256], value = [[[[ 0.04076039 -0.03314416  0.11313873 ...  0.00859562  0.06660631
    -0.03337244]
   [-0.01950...
[ 2020-01-28 10:43:50,099 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,101 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand3x3/kernel/read
[ 2020-01-28 10:43:50,106 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,107 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,110 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  64 256], value = [[[[ 0.04076039 -0.03314416  0.11313873 ...  0.00859562  0.06660631
    -0.03337244]
   [-0.01950...
[ 2020-01-28 10:43:50,111 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,119 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  64 256], value = [[[[ 0.04076039 -0.03314416  0.11313873 ...  0.00859562  0.06660631
    -0.03337244]
   [-0.01950...
[ 2020-01-28 10:43:50,120 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,122 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand1x1/bias
[ 2020-01-28 10:43:50,128 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,129 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,129 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,132 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [-8.79236104e-05  2.54281107e-02  6.56157658e-02  2.21997313e-02
  4.26864147e-01  5.96466847e-02...
[ 2020-01-28 10:43:50,133 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,138 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand1x1/bias/read
[ 2020-01-28 10:43:50,138 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,139 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,141 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [256], value = [-8.79236104e-05  2.54281107e-02  6.56157658e-02  2.21997313e-02
  4.26864147e-01  5.96466847e-02...
[ 2020-01-28 10:43:50,142 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,148 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [256], value = [-8.79236104e-05  2.54281107e-02  6.56157658e-02  2.21997313e-02
  4.26864147e-01  5.96466847e-02...
[ 2020-01-28 10:43:50,149 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,149 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand1x1/kernel
[ 2020-01-28 10:43:50,150 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,157 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,157 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,158 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  64 256], value = [[[[-0.01380184 -0.01523142  0.00409935 ... -0.01120419  0.0114913
    -0.01628515]
   [ 0.009115...
[ 2020-01-28 10:43:50,160 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,160 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand1x1/kernel/read
[ 2020-01-28 10:43:50,160 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,161 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,162 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  64 256], value = [[[[-0.01380184 -0.01523142  0.00409935 ... -0.01120419  0.0114913
    -0.01628515]
   [ 0.009115...
[ 2020-01-28 10:43:50,164 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,168 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  64 256], value = [[[[-0.01380184 -0.01523142  0.00409935 ... -0.01120419  0.0114913
    -0.01628515]
   [ 0.009115...
[ 2020-01-28 10:43:50,170 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,170 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/squeeze1x1/bias
[ 2020-01-28 10:43:50,171 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,171 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,171 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,175 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 1.33942938e+00 -7.93924555e-02  1.00508995e-01 -1.32512957e-01
  2.89530829e-02 -1.07150964e-01...
[ 2020-01-28 10:43:50,178 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,178 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/squeeze1x1/bias/read
[ 2020-01-28 10:43:50,180 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,180 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,181 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [64], value = [ 1.33942938e+00 -7.93924555e-02  1.00508995e-01 -1.32512957e-01
  2.89530829e-02 -1.07150964e-01...
[ 2020-01-28 10:43:50,182 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,183 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 1.33942938e+00 -7.93924555e-02  1.00508995e-01 -1.32512957e-01
  2.89530829e-02 -1.07150964e-01...
[ 2020-01-28 10:43:50,190 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,190 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/squeeze1x1/kernel
[ 2020-01-28 10:43:50,191 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,191 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,191 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,192 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.04193709  0.09649125  0.02074493 ... -0.08881751  0.24952039
    -0.0431582 ]
   [ 0.08349...
[ 2020-01-28 10:43:50,193 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,193 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/squeeze1x1/kernel/read
[ 2020-01-28 10:43:50,194 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,197 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,200 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 384  64], value = [[[[-0.04193709  0.09649125  0.02074493 ... -0.08881751  0.24952039
    -0.0431582 ]
   [ 0.08349...
[ 2020-01-28 10:43:50,201 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,202 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 384  64], value = [[[[-0.04193709  0.09649125  0.02074493 ... -0.08881751  0.24952039
    -0.0431582 ]
   [ 0.08349...
[ 2020-01-28 10:43:50,204 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,206 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_6/concat/axis
[ 2020-01-28 10:43:50,206 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,211 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,211 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,212 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:50,212 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,212 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand3x3/bias
[ 2020-01-28 10:43:50,213 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,213 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,214 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,216 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [-1.16820317e-02 -1.62440985e-02  1.02854604e-02  2.00495590e-02
 -3.77922654e-02  3.83107644e-03...
[ 2020-01-28 10:43:50,217 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,222 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand3x3/bias/read
[ 2020-01-28 10:43:50,223 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,223 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,225 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [192], value = [-1.16820317e-02 -1.62440985e-02  1.02854604e-02  2.00495590e-02
 -3.77922654e-02  3.83107644e-03...
[ 2020-01-28 10:43:50,226 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,232 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [-1.16820317e-02 -1.62440985e-02  1.02854604e-02  2.00495590e-02
 -3.77922654e-02  3.83107644e-03...
[ 2020-01-28 10:43:50,233 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,234 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand3x3/kernel
[ 2020-01-28 10:43:50,235 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,239 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,242 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,245 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  48 192], value = [[[[ 0.10321987  0.08555839  0.05687418 ...  0.03429393  0.02620571
    -0.00157843]
   [ 0.00244...
[ 2020-01-28 10:43:50,248 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,248 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand3x3/kernel/read
[ 2020-01-28 10:43:50,252 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,253 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,257 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  48 192], value = [[[[ 0.10321987  0.08555839  0.05687418 ...  0.03429393  0.02620571
    -0.00157843]
   [ 0.00244...
[ 2020-01-28 10:43:50,257 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,266 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  48 192], value = [[[[ 0.10321987  0.08555839  0.05687418 ...  0.03429393  0.02620571
    -0.00157843]
   [ 0.00244...
[ 2020-01-28 10:43:50,266 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,267 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand1x1/bias
[ 2020-01-28 10:43:50,273 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,273 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,274 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,275 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [-0.01562768  0.08652116 -0.06892341 -0.00028423  0.03190674 -0.00134801
 -0.03281422  0.08189461...
[ 2020-01-28 10:43:50,276 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,277 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand1x1/bias/read
[ 2020-01-28 10:43:50,279 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,280 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,286 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [192], value = [-0.01562768  0.08652116 -0.06892341 -0.00028423  0.03190674 -0.00134801
 -0.03281422  0.08189461...
[ 2020-01-28 10:43:50,287 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,289 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [-0.01562768  0.08652116 -0.06892341 -0.00028423  0.03190674 -0.00134801
 -0.03281422  0.08189461...
[ 2020-01-28 10:43:50,290 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,294 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand1x1/kernel
[ 2020-01-28 10:43:50,294 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,295 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,295 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,296 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  48 192], value = [[[[ 0.09245451  0.01100099  0.10021605 ...  0.01532538 -0.10764688
    -0.16215628]
   [-0.03896...
[ 2020-01-28 10:43:50,297 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,297 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand1x1/kernel/read
[ 2020-01-28 10:43:50,298 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,301 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,306 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  48 192], value = [[[[ 0.09245451  0.01100099  0.10021605 ...  0.01532538 -0.10764688
    -0.16215628]
   [-0.03896...
[ 2020-01-28 10:43:50,307 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,308 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  48 192], value = [[[[ 0.09245451  0.01100099  0.10021605 ...  0.01532538 -0.10764688
    -0.16215628]
   [-0.03896...
[ 2020-01-28 10:43:50,309 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,311 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/squeeze1x1/bias
[ 2020-01-28 10:43:50,315 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,315 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,316 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,317 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [48], value = [ 0.04586294  0.01637374  0.16568872  0.02066529 -0.00317932 -0.02119085
  0.06571165  0.06571431...
[ 2020-01-28 10:43:50,318 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,318 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/squeeze1x1/bias/read
[ 2020-01-28 10:43:50,320 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,322 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,327 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [48], value = [ 0.04586294  0.01637374  0.16568872  0.02066529 -0.00317932 -0.02119085
  0.06571165  0.06571431...
[ 2020-01-28 10:43:50,327 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,329 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [48], value = [ 0.04586294  0.01637374  0.16568872  0.02066529 -0.00317932 -0.02119085
  0.06571165  0.06571431...
[ 2020-01-28 10:43:50,329 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,331 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/squeeze1x1/kernel
[ 2020-01-28 10:43:50,332 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,338 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,338 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,339 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 384  48], value = [[[[-1.4489872e-02  7.6544166e-02  2.2019921e-03 ... -6.2243357e-02
     4.1298084e-02  2.8518710...
[ 2020-01-28 10:43:50,340 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,342 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/squeeze1x1/kernel/read
[ 2020-01-28 10:43:50,342 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,347 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,353 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 384  48], value = [[[[-1.4489872e-02  7.6544166e-02  2.2019921e-03 ... -6.2243357e-02
     4.1298084e-02  2.8518710...
[ 2020-01-28 10:43:50,358 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,364 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 384  48], value = [[[[-1.4489872e-02  7.6544166e-02  2.2019921e-03 ... -6.2243357e-02
     4.1298084e-02  2.8518710...
[ 2020-01-28 10:43:50,369 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,373 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_5/concat/axis
[ 2020-01-28 10:43:50,374 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,375 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,377 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,378 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:50,383 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,383 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand3x3/bias
[ 2020-01-28 10:43:50,384 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,385 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,385 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,388 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [ 4.67514293e-03 -1.74196425e-03  5.42241288e-03 -8.35110247e-03
 -5.67081384e-03  1.62817759e-03...
[ 2020-01-28 10:43:50,389 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,393 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand3x3/bias/read
[ 2020-01-28 10:43:50,394 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,394 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,396 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [192], value = [ 4.67514293e-03 -1.74196425e-03  5.42241288e-03 -8.35110247e-03
 -5.67081384e-03  1.62817759e-03...
[ 2020-01-28 10:43:50,397 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,399 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [ 4.67514293e-03 -1.74196425e-03  5.42241288e-03 -8.35110247e-03
 -5.67081384e-03  1.62817759e-03...
[ 2020-01-28 10:43:50,400 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,405 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand3x3/kernel
[ 2020-01-28 10:43:50,406 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,406 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,407 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,410 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  48 192], value = [[[[ 1.70829298e-03  2.34671738e-02 -5.63735282e-03 ...  2.10066419e-02
    -1.02573121e-02 -4.38...
[ 2020-01-28 10:43:50,411 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,415 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand3x3/kernel/read
[ 2020-01-28 10:43:50,415 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,416 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,420 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  48 192], value = [[[[ 1.70829298e-03  2.34671738e-02 -5.63735282e-03 ...  2.10066419e-02
    -1.02573121e-02 -4.38...
[ 2020-01-28 10:43:50,424 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,427 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  48 192], value = [[[[ 1.70829298e-03  2.34671738e-02 -5.63735282e-03 ...  2.10066419e-02
    -1.02573121e-02 -4.38...
[ 2020-01-28 10:43:50,428 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,428 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand1x1/bias
[ 2020-01-28 10:43:50,430 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,431 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,435 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,437 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [ 1.28012747e-02 -1.15010859e-02  2.83087604e-03  5.00838645e-03
 -7.23744370e-03  7.39649683e-03...
[ 2020-01-28 10:43:50,438 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,439 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand1x1/bias/read
[ 2020-01-28 10:43:50,440 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,441 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,446 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [192], value = [ 1.28012747e-02 -1.15010859e-02  2.83087604e-03  5.00838645e-03
 -7.23744370e-03  7.39649683e-03...
[ 2020-01-28 10:43:50,447 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,449 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [192], value = [ 1.28012747e-02 -1.15010859e-02  2.83087604e-03  5.00838645e-03
 -7.23744370e-03  7.39649683e-03...
[ 2020-01-28 10:43:50,451 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,457 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand1x1/kernel
[ 2020-01-28 10:43:50,457 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,458 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,458 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,459 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  48 192], value = [[[[ 0.00254652 -0.00343607 -0.1532458  ... -0.12018581  0.03887983
    -0.04254971]
   [-0.08688...
[ 2020-01-28 10:43:50,466 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,467 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand1x1/kernel/read
[ 2020-01-28 10:43:50,469 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,471 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,477 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  48 192], value = [[[[ 0.00254652 -0.00343607 -0.1532458  ... -0.12018581  0.03887983
    -0.04254971]
   [-0.08688...
[ 2020-01-28 10:43:50,480 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,482 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  48 192], value = [[[[ 0.00254652 -0.00343607 -0.1532458  ... -0.12018581  0.03887983
    -0.04254971]
   [-0.08688...
[ 2020-01-28 10:43:50,487 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,490 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/squeeze1x1/bias
[ 2020-01-28 10:43:50,490 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,492 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,492 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,494 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [48], value = [ 0.01333002  0.00021221 -0.05915642  0.06015163  0.07895314  0.00810212
 -0.01720347  0.07453706...
[ 2020-01-28 10:43:50,495 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,497 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/squeeze1x1/bias/read
[ 2020-01-28 10:43:50,497 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,502 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,503 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [48], value = [ 0.01333002  0.00021221 -0.05915642  0.06015163  0.07895314  0.00810212
 -0.01720347  0.07453706...
[ 2020-01-28 10:43:50,504 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,505 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [48], value = [ 0.01333002  0.00021221 -0.05915642  0.06015163  0.07895314  0.00810212
 -0.01720347  0.07453706...
[ 2020-01-28 10:43:50,506 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,508 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/squeeze1x1/kernel
[ 2020-01-28 10:43:50,508 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,512 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,512 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,513 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 256  48], value = [[[[ 0.00780109 -0.03952342 -0.03677125 ... -0.0767467   0.07115876
     0.03734843]
   [-0.11953...
[ 2020-01-28 10:43:50,514 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,514 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/squeeze1x1/kernel/read
[ 2020-01-28 10:43:50,515 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,515 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,516 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 256  48], value = [[[[ 0.00780109 -0.03952342 -0.03677125 ... -0.0767467   0.07115876
     0.03734843]
   [-0.11953...
[ 2020-01-28 10:43:50,521 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,523 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 256  48], value = [[[[ 0.00780109 -0.03952342 -0.03677125 ... -0.0767467   0.07115876
     0.03734843]
   [-0.11953...
[ 2020-01-28 10:43:50,524 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,525 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_4/concat/axis
[ 2020-01-28 10:43:50,525 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,525 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,526 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,526 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:50,527 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,527 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand3x3/bias
[ 2020-01-28 10:43:50,527 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,528 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,528 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,530 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [-0.00019412  0.00472055 -0.00845106  0.00728287  0.00216785  0.00330037
 -0.0054591  -0.01450157...
[ 2020-01-28 10:43:50,533 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,535 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand3x3/bias/read
[ 2020-01-28 10:43:50,535 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,536 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,539 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [128], value = [-0.00019412  0.00472055 -0.00845106  0.00728287  0.00216785  0.00330037
 -0.0054591  -0.01450157...
[ 2020-01-28 10:43:50,539 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,541 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [-0.00019412  0.00472055 -0.00845106  0.00728287  0.00216785  0.00330037
 -0.0054591  -0.01450157...
[ 2020-01-28 10:43:50,541 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,542 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand3x3/kernel
[ 2020-01-28 10:43:50,544 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,548 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,548 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,552 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  32 128], value = [[[[ 1.16493471e-01  4.02942002e-02  5.25884293e-02 ... -3.34343798e-02
     3.07910014e-02  2.46...
[ 2020-01-28 10:43:50,553 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,555 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand3x3/kernel/read
[ 2020-01-28 10:43:50,555 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,560 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,563 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  32 128], value = [[[[ 1.16493471e-01  4.02942002e-02  5.25884293e-02 ... -3.34343798e-02
     3.07910014e-02  2.46...
[ 2020-01-28 10:43:50,565 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,568 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  32 128], value = [[[[ 1.16493471e-01  4.02942002e-02  5.25884293e-02 ... -3.34343798e-02
     3.07910014e-02  2.46...
[ 2020-01-28 10:43:50,572 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,572 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand1x1/bias
[ 2020-01-28 10:43:50,572 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,573 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,575 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,577 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [ 1.48186181e-02  1.77292433e-02 -1.71153545e-02  5.84319094e-03
  2.74598822e-02 -2.19542067e-02...
[ 2020-01-28 10:43:50,580 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,580 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand1x1/bias/read
[ 2020-01-28 10:43:50,580 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,581 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,583 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [128], value = [ 1.48186181e-02  1.77292433e-02 -1.71153545e-02  5.84319094e-03
  2.74598822e-02 -2.19542067e-02...
[ 2020-01-28 10:43:50,583 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,585 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [ 1.48186181e-02  1.77292433e-02 -1.71153545e-02  5.84319094e-03
  2.74598822e-02 -2.19542067e-02...
[ 2020-01-28 10:43:50,588 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,592 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand1x1/kernel
[ 2020-01-28 10:43:50,592 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,593 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,593 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,594 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  32 128], value = [[[[ 0.15756123  0.0126317  -0.0085533  ... -0.078428   -0.02287678
    -0.1836013 ]
   [-0.12148...
[ 2020-01-28 10:43:50,595 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,595 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand1x1/kernel/read
[ 2020-01-28 10:43:50,596 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,596 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,598 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  32 128], value = [[[[ 0.15756123  0.0126317  -0.0085533  ... -0.078428   -0.02287678
    -0.1836013 ]
   [-0.12148...
[ 2020-01-28 10:43:50,606 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,607 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  32 128], value = [[[[ 0.15756123  0.0126317  -0.0085533  ... -0.078428   -0.02287678
    -0.1836013 ]
   [-0.12148...
[ 2020-01-28 10:43:50,607 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,608 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/squeeze1x1/bias
[ 2020-01-28 10:43:50,608 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,609 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,609 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,610 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [32], value = [ 0.06097506  0.00674511  0.15451887  0.03393465  0.10455245 -0.20818947
  0.05124909 -0.06361806...
[ 2020-01-28 10:43:50,613 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,616 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/squeeze1x1/bias/read
[ 2020-01-28 10:43:50,618 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,621 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,627 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [32], value = [ 0.06097506  0.00674511  0.15451887  0.03393465  0.10455245 -0.20818947
  0.05124909 -0.06361806...
[ 2020-01-28 10:43:50,628 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,633 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [32], value = [ 0.06097506  0.00674511  0.15451887  0.03393465  0.10455245 -0.20818947
  0.05124909 -0.06361806...
[ 2020-01-28 10:43:50,640 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,642 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/squeeze1x1/kernel
[ 2020-01-28 10:43:50,642 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,643 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,644 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,645 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 256  32], value = [[[[-0.03805217 -0.0939007  -0.01214836 ...  0.07065044 -0.05680984
    -0.05676818]
   [ 0.09679...
[ 2020-01-28 10:43:50,649 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,650 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/squeeze1x1/kernel/read
[ 2020-01-28 10:43:50,655 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,656 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,657 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 256  32], value = [[[[-0.03805217 -0.0939007  -0.01214836 ...  0.07065044 -0.05680984
    -0.05676818]
   [ 0.09679...
[ 2020-01-28 10:43:50,658 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,661 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 256  32], value = [[[[-0.03805217 -0.0939007  -0.01214836 ...  0.07065044 -0.05680984
    -0.05676818]
   [ 0.09679...
[ 2020-01-28 10:43:50,665 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,665 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_3/concat/axis
[ 2020-01-28 10:43:50,666 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,666 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,667 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,667 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:50,667 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,668 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand3x3/bias
[ 2020-01-28 10:43:50,668 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,672 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,673 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,678 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [ 1.43945951e-03 -1.06742429e-02 -3.29706422e-03  5.19553153e-03
  3.57679762e-02  1.80851910e-02...
[ 2020-01-28 10:43:50,678 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,679 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand3x3/bias/read
[ 2020-01-28 10:43:50,679 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,680 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,683 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [128], value = [ 1.43945951e-03 -1.06742429e-02 -3.29706422e-03  5.19553153e-03
  3.57679762e-02  1.80851910e-02...
[ 2020-01-28 10:43:50,688 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,689 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [ 1.43945951e-03 -1.06742429e-02 -3.29706422e-03  5.19553153e-03
  3.57679762e-02  1.80851910e-02...
[ 2020-01-28 10:43:50,690 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,690 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand3x3/kernel
[ 2020-01-28 10:43:50,691 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,695 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,698 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,702 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  32 128], value = [[[[ 0.01974905  0.02361009 -0.00053015 ... -0.02741153  0.04470699
     0.01362453]
   [-0.04631...
[ 2020-01-28 10:43:50,704 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,709 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand3x3/kernel/read
[ 2020-01-28 10:43:50,709 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,710 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,713 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  3   3  32 128], value = [[[[ 0.01974905  0.02361009 -0.00053015 ... -0.02741153  0.04470699
     0.01362453]
   [-0.04631...
[ 2020-01-28 10:43:50,714 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,721 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  3   3  32 128], value = [[[[ 0.01974905  0.02361009 -0.00053015 ... -0.02741153  0.04470699
     0.01362453]
   [-0.04631...
[ 2020-01-28 10:43:50,724 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,728 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand1x1/bias
[ 2020-01-28 10:43:50,728 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,729 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,729 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,731 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [-0.01104465 -0.01497341  0.02299101  0.0371733  -0.0137501   0.01702042
  0.06923524 -0.00082238...
[ 2020-01-28 10:43:50,732 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,734 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand1x1/bias/read
[ 2020-01-28 10:43:50,734 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,739 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,740 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [128], value = [-0.01104465 -0.01497341  0.02299101  0.0371733  -0.0137501   0.01702042
  0.06923524 -0.00082238...
[ 2020-01-28 10:43:50,741 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,743 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [128], value = [-0.01104465 -0.01497341  0.02299101  0.0371733  -0.0137501   0.01702042
  0.06923524 -0.00082238...
[ 2020-01-28 10:43:50,744 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,749 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand1x1/kernel
[ 2020-01-28 10:43:50,749 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,749 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,749 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,751 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  32 128], value = [[[[ 2.1979645e-02  1.1799399e-01 -8.4924940e-03 ...  6.6692367e-02
    -6.9182009e-02  2.3847681...
[ 2020-01-28 10:43:50,752 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,752 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand1x1/kernel/read
[ 2020-01-28 10:43:50,753 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,755 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,756 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1  32 128], value = [[[[ 2.1979645e-02  1.1799399e-01 -8.4924940e-03 ...  6.6692367e-02
    -6.9182009e-02  2.3847681...
[ 2020-01-28 10:43:50,760 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,761 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1  32 128], value = [[[[ 2.1979645e-02  1.1799399e-01 -8.4924940e-03 ...  6.6692367e-02
    -6.9182009e-02  2.3847681...
[ 2020-01-28 10:43:50,762 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,762 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/squeeze1x1/bias
[ 2020-01-28 10:43:50,763 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,763 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,764 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,767 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [32], value = [ 0.00243666  0.0247791  -0.03878604 -0.00610753 -0.03185894  0.02832191
 -0.0220264   0.03014253...
[ 2020-01-28 10:43:50,772 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,772 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/squeeze1x1/bias/read
[ 2020-01-28 10:43:50,772 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,773 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,774 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [32], value = [ 0.00243666  0.0247791  -0.03878604 -0.00610753 -0.03185894  0.02832191
 -0.0220264   0.03014253...
[ 2020-01-28 10:43:50,776 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,780 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [32], value = [ 0.00243666  0.0247791  -0.03878604 -0.00610753 -0.03185894  0.02832191
 -0.0220264   0.03014253...
[ 2020-01-28 10:43:50,782 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,782 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/squeeze1x1/kernel
[ 2020-01-28 10:43:50,782 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,783 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,783 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,785 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 128  32], value = [[[[ 0.10423578  0.02397687 -0.24312714 ... -0.20805411 -0.20376521
    -0.17703013]
   [-0.03517...
[ 2020-01-28 10:43:50,789 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,792 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/squeeze1x1/kernel/read
[ 2020-01-28 10:43:50,792 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,792 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,794 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 128  32], value = [[[[ 0.10423578  0.02397687 -0.24312714 ... -0.20805411 -0.20376521
    -0.17703013]
   [-0.03517...
[ 2020-01-28 10:43:50,795 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,796 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 128  32], value = [[[[ 0.10423578  0.02397687 -0.24312714 ... -0.20805411 -0.20376521
    -0.17703013]
   [-0.03517...
[ 2020-01-28 10:43:50,797 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,797 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_2/concat/axis
[ 2020-01-28 10:43:50,800 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,800 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,801 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,802 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:50,803 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,804 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand3x3/bias
[ 2020-01-28 10:43:50,804 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,806 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,806 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,807 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [-0.01959793 -0.03306518 -0.00358311  0.02789312  0.01553925 -0.03247043
 -0.02789533  0.02088588...
[ 2020-01-28 10:43:50,808 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,808 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand3x3/bias/read
[ 2020-01-28 10:43:50,809 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,812 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,815 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [64], value = [-0.01959793 -0.03306518 -0.00358311  0.02789312  0.01553925 -0.03247043
 -0.02789533  0.02088588...
[ 2020-01-28 10:43:50,816 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,817 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [-0.01959793 -0.03306518 -0.00358311  0.02789312  0.01553925 -0.03247043
 -0.02789533  0.02088588...
[ 2020-01-28 10:43:50,819 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,819 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand3x3/kernel
[ 2020-01-28 10:43:50,819 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,820 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,822 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,830 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 3  3 16 64], value = [[[[-0.05514664 -0.01930458 -0.10719214 ...  0.03511249  0.25547904
     0.09288667]
   [ 0.07706...
[ 2020-01-28 10:43:50,831 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,832 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand3x3/kernel/read
[ 2020-01-28 10:43:50,832 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,839 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,843 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 3  3 16 64], value = [[[[-0.05514664 -0.01930458 -0.10719214 ...  0.03511249  0.25547904
     0.09288667]
   [ 0.07706...
[ 2020-01-28 10:43:50,844 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,851 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 3  3 16 64], value = [[[[-0.05514664 -0.01930458 -0.10719214 ...  0.03511249  0.25547904
     0.09288667]
   [ 0.07706...
[ 2020-01-28 10:43:50,856 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,857 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand1x1/bias
[ 2020-01-28 10:43:50,857 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,858 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,858 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,859 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [-0.01167229 -0.03264834  0.00442509 -0.06531227 -0.0390413  -0.04209773
 -0.0178735   0.13932233...
[ 2020-01-28 10:43:50,860 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,862 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand1x1/bias/read
[ 2020-01-28 10:43:50,866 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,866 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,867 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [64], value = [-0.01167229 -0.03264834  0.00442509 -0.06531227 -0.0390413  -0.04209773
 -0.0178735   0.13932233...
[ 2020-01-28 10:43:50,869 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,871 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [-0.01167229 -0.03264834  0.00442509 -0.06531227 -0.0390413  -0.04209773
 -0.0178735   0.13932233...
[ 2020-01-28 10:43:50,873 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,877 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand1x1/kernel
[ 2020-01-28 10:43:50,880 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,886 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,891 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,896 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1  1 16 64], value = [[[[-0.10710672 -0.01106737 -0.08972261 ...  0.10768329 -0.05536776
     0.00973058]
   [ 0.22964...
[ 2020-01-28 10:43:50,898 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,903 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand1x1/kernel/read
[ 2020-01-28 10:43:50,905 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,909 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,912 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1  1 16 64], value = [[[[-0.10710672 -0.01106737 -0.08972261 ...  0.10768329 -0.05536776
     0.00973058]
   [ 0.22964...
[ 2020-01-28 10:43:50,915 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,916 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1  1 16 64], value = [[[[-0.10710672 -0.01106737 -0.08972261 ...  0.10768329 -0.05536776
     0.00973058]
   [ 0.22964...
[ 2020-01-28 10:43:50,924 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,924 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/squeeze1x1/bias
[ 2020-01-28 10:43:50,925 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,925 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,925 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,926 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [16], value = [ 0.13107464  0.1858477  -0.11520658 -0.04803462  0.09699487  0.36024904
  0.10465035  0.02584735...
[ 2020-01-28 10:43:50,927 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,927 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/squeeze1x1/bias/read
[ 2020-01-28 10:43:50,927 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,928 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,928 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [16], value = [ 0.13107464  0.1858477  -0.11520658 -0.04803462  0.09699487  0.36024904
  0.10465035  0.02584735...
[ 2020-01-28 10:43:50,931 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,935 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [16], value = [ 0.13107464  0.1858477  -0.11520658 -0.04803462  0.09699487  0.36024904
  0.10465035  0.02584735...
[ 2020-01-28 10:43:50,937 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,937 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/squeeze1x1/kernel
[ 2020-01-28 10:43:50,938 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,938 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,938 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,939 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 128  16], value = [[[[-0.07678859 -0.1564512   0.0640722  ... -0.00847915  0.07424648
     0.14681098]
   [ 0.07658...
[ 2020-01-28 10:43:50,942 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,942 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/squeeze1x1/kernel/read
[ 2020-01-28 10:43:50,946 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,947 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,947 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 128  16], value = [[[[-0.07678859 -0.1564512   0.0640722  ... -0.00847915  0.07424648
     0.14681098]
   [ 0.07658...
[ 2020-01-28 10:43:50,948 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,950 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 128  16], value = [[[[-0.07678859 -0.1564512   0.0640722  ... -0.00847915  0.07424648
     0.14681098]
   [ 0.07658...
[ 2020-01-28 10:43:50,950 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,950 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_1/concat/axis
[ 2020-01-28 10:43:50,950 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,951 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,955 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,955 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:50,956 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,958 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand3x3/bias
[ 2020-01-28 10:43:50,958 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,958 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,958 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,960 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 0.06278225  0.02381099  0.03425778 -0.01476515  0.01881722  0.0059475
 -0.00413696 -0.02256668 ...
[ 2020-01-28 10:43:50,960 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,961 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand3x3/bias/read
[ 2020-01-28 10:43:50,961 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,961 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,962 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [64], value = [ 0.06278225  0.02381099  0.03425778 -0.01476515  0.01881722  0.0059475
 -0.00413696 -0.02256668 ...
[ 2020-01-28 10:43:50,963 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,964 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 0.06278225  0.02381099  0.03425778 -0.01476515  0.01881722  0.0059475
 -0.00413696 -0.02256668 ...
[ 2020-01-28 10:43:50,969 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,970 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand3x3/kernel
[ 2020-01-28 10:43:50,970 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:50,971 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,971 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,974 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 3  3 16 64], value = [[[[-3.50676030e-02 -1.23296045e-01  2.61879759e-03 ... -1.39912684e-02
    -2.21572146e-02 -4.71...
[ 2020-01-28 10:43:50,977 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,977 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand3x3/kernel/read
[ 2020-01-28 10:43:50,982 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:50,982 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:50,986 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 3  3 16 64], value = [[[[-3.50676030e-02 -1.23296045e-01  2.61879759e-03 ... -1.39912684e-02
    -2.21572146e-02 -4.71...
[ 2020-01-28 10:43:50,987 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:50,995 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 3  3 16 64], value = [[[[-3.50676030e-02 -1.23296045e-01  2.61879759e-03 ... -1.39912684e-02
    -2.21572146e-02 -4.71...
[ 2020-01-28 10:43:50,995 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:50,997 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand1x1/bias
[ 2020-01-28 10:43:50,998 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:51,003 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,004 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,006 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 9.65318736e-03  6.70186654e-02  5.31526580e-02  5.00233956e-02
 -1.46311009e-04  5.48351780e-02...
[ 2020-01-28 10:43:51,007 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,012 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand1x1/bias/read
[ 2020-01-28 10:43:51,013 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:51,015 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,025 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [64], value = [ 9.65318736e-03  6.70186654e-02  5.31526580e-02  5.00233956e-02
 -1.46311009e-04  5.48351780e-02...
[ 2020-01-28 10:43:51,028 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,035 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 9.65318736e-03  6.70186654e-02  5.31526580e-02  5.00233956e-02
 -1.46311009e-04  5.48351780e-02...
[ 2020-01-28 10:43:51,039 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,040 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand1x1/kernel
[ 2020-01-28 10:43:51,043 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:51,044 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,048 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,050 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1  1 16 64], value = [[[[-0.12665348 -0.15703806  0.04560525 ... -0.05466329  0.17692767
    -0.08059767]
   [-0.23017...
[ 2020-01-28 10:43:51,050 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,052 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand1x1/kernel/read
[ 2020-01-28 10:43:51,055 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:51,056 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,061 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1  1 16 64], value = [[[[-0.12665348 -0.15703806  0.04560525 ... -0.05466329  0.17692767
    -0.08059767]
   [-0.23017...
[ 2020-01-28 10:43:51,062 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,063 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1  1 16 64], value = [[[[-0.12665348 -0.15703806  0.04560525 ... -0.05466329  0.17692767
    -0.08059767]
   [-0.23017...
[ 2020-01-28 10:43:51,064 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,067 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/squeeze1x1/bias
[ 2020-01-28 10:43:51,067 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:51,073 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,073 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,074 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [16], value = [-0.06711704  0.0674735   0.04730803  0.01488064 -0.05307846  0.1124901
  0.07011461 -0.09361661 ...
[ 2020-01-28 10:43:51,075 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,075 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/squeeze1x1/bias/read
[ 2020-01-28 10:43:51,076 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:51,079 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,079 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [16], value = [-0.06711704  0.0674735   0.04730803  0.01488064 -0.05307846  0.1124901
  0.07011461 -0.09361661 ...
[ 2020-01-28 10:43:51,083 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,084 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [16], value = [-0.06711704  0.0674735   0.04730803  0.01488064 -0.05307846  0.1124901
  0.07011461 -0.09361661 ...
[ 2020-01-28 10:43:51,085 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,086 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/squeeze1x1/kernel
[ 2020-01-28 10:43:51,087 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:51,089 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,089 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,093 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1  1 64 16], value = [[[[ 0.03439448 -0.1313367   0.3103122  ...  0.0274033   0.5542631
    -0.11382587]
   [-0.065684...
[ 2020-01-28 10:43:51,094 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,094 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/squeeze1x1/kernel/read
[ 2020-01-28 10:43:51,095 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:51,095 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,096 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1  1 64 16], value = [[[[ 0.03439448 -0.1313367   0.3103122  ...  0.0274033   0.5542631
    -0.11382587]
   [-0.065684...
[ 2020-01-28 10:43:51,096 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,098 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1  1 64 16], value = [[[[ 0.03439448 -0.1313367   0.3103122  ...  0.0274033   0.5542631
    -0.11382587]
   [-0.065684...
[ 2020-01-28 10:43:51,104 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,105 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv2d_1/bias
[ 2020-01-28 10:43:51,105 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:51,106 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,106 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,107 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 0.01397596  0.21855858  0.00258756 -0.01833636 -0.04489268 -0.05213032
  0.18569103  0.19723788...
[ 2020-01-28 10:43:51,108 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,108 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv2d_1/bias/read
[ 2020-01-28 10:43:51,109 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:51,111 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,113 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [64], value = [ 0.01397596  0.21855858  0.00258756 -0.01833636 -0.04489268 -0.05213032
  0.18569103  0.19723788...
[ 2020-01-28 10:43:51,115 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,117 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [64], value = [ 0.01397596  0.21855858  0.00258756 -0.01833636 -0.04489268 -0.05213032
  0.18569103  0.19723788...
[ 2020-01-28 10:43:51,119 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,119 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv2d_1/kernel
[ 2020-01-28 10:43:51,119 ] [ DEBUG ] [ infer:131 ]  Op: Const
[ 2020-01-28 10:43:51,119 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,120 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,124 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 3  3  3 64], value = [[[[ 2.43934050e-01  6.99959323e-03  8.67644772e-02 ... -8.86733308e-02
     1.15520671e-01  1.57...
[ 2020-01-28 10:43:51,126 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,127 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv2d_1/kernel/read
[ 2020-01-28 10:43:51,127 ] [ DEBUG ] [ infer:131 ]  Op: Identity
[ 2020-01-28 10:43:51,128 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,129 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 3  3  3 64], value = [[[[ 2.43934050e-01  6.99959323e-03  8.67644772e-02 ... -8.86733308e-02
     1.15520671e-01  1.57...
[ 2020-01-28 10:43:51,130 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,132 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 3  3  3 64], value = [[[[ 2.43934050e-01  6.99959323e-03  8.67644772e-02 ... -8.86733308e-02
     1.15520671e-01  1.57...
[ 2020-01-28 10:43:51,133 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,137 ] [ DEBUG ] [ infer:130 ]  Partial infer for input
[ 2020-01-28 10:43:51,139 ] [ DEBUG ] [ infer:131 ]  Op: Parameter
[ 2020-01-28 10:43:51,140 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,140 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,140 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   3 320 320], value = <UNKNOWN>
[ 2020-01-28 10:43:51,141 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,141 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv2d_1/convolution
[ 2020-01-28 10:43:51,141 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,143 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,145 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   3 320 320], value = <UNKNOWN>
[ 2020-01-28 10:43:51,149 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 3  3  3 64], value = [[[[ 2.43934050e-01  6.99959323e-03  8.67644772e-02 ... -8.86733308e-02
     1.15520671e-01  1.57...
[ 2020-01-28 10:43:51,150 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,151 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1  64 160 160], value = <UNKNOWN>
[ 2020-01-28 10:43:51,151 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,153 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv2d_1/BiasAdd
[ 2020-01-28 10:43:51,155 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,156 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,160 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1  64 160 160], value = <UNKNOWN>
[ 2020-01-28 10:43:51,161 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [64], value = [ 0.01397596  0.21855858  0.00258756 -0.01833636 -0.04489268 -0.05213032
  0.18569103  0.19723788...
[ 2020-01-28 10:43:51,162 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,162 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1  64 160 160], value = <UNKNOWN>
[ 2020-01-28 10:43:51,163 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,163 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv2d_1/Relu
[ 2020-01-28 10:43:51,163 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,166 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,166 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1  64 160 160], value = <UNKNOWN>
[ 2020-01-28 10:43:51,172 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,175 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1  64 160 160], value = <UNKNOWN>
[ 2020-01-28 10:43:51,179 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,181 ] [ DEBUG ] [ infer:130 ]  Partial infer for pool1/MaxPool
[ 2020-01-28 10:43:51,185 ] [ DEBUG ] [ infer:131 ]  Op: MaxPool
[ 2020-01-28 10:43:51,188 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,193 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1  64 160 160], value = <UNKNOWN>
[ 2020-01-28 10:43:51,193 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,197 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,198 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,198 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/squeeze1x1/convolution
[ 2020-01-28 10:43:51,199 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,200 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,200 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,201 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 1  1 64 16], value = [[[[ 0.03439448 -0.1313367   0.3103122  ...  0.0274033   0.5542631
    -0.11382587]
   [-0.065684...
[ 2020-01-28 10:43:51,204 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,208 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,209 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,209 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,210 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,211 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,211 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,212 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [16], value = [-0.06711704  0.0674735   0.04730803  0.01488064 -0.05307846  0.1124901
  0.07011461 -0.09361661 ...
[ 2020-01-28 10:43:51,212 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,213 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,215 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,216 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/squeeze1x1/Relu
[ 2020-01-28 10:43:51,220 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,221 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,222 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,222 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,222 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,223 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,223 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand3x3/convolution
[ 2020-01-28 10:43:51,223 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,226 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,227 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,233 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 3  3 16 64], value = [[[[-3.50676030e-02 -1.23296045e-01  2.61879759e-03 ... -1.39912684e-02
    -2.21572146e-02 -4.71...
[ 2020-01-28 10:43:51,234 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,237 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,237 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,242 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand3x3/BiasAdd
[ 2020-01-28 10:43:51,242 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,243 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,243 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,244 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [64], value = [ 0.06278225  0.02381099  0.03425778 -0.01476515  0.01881722  0.0059475
 -0.00413696 -0.02256668 ...
[ 2020-01-28 10:43:51,245 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,245 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,246 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,248 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand3x3/Relu
[ 2020-01-28 10:43:51,249 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,254 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,254 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,255 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,255 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,255 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,257 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand1x1/convolution
[ 2020-01-28 10:43:51,257 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,263 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,263 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,264 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 1  1 16 64], value = [[[[-0.12665348 -0.15703806  0.04560525 ... -0.05466329  0.17692767
    -0.08059767]
   [-0.23017...
[ 2020-01-28 10:43:51,264 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,265 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,266 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,269 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand1x1/BiasAdd
[ 2020-01-28 10:43:51,271 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,272 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,274 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,274 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [64], value = [ 9.65318736e-03  6.70186654e-02  5.31526580e-02  5.00233956e-02
 -1.46311009e-04  5.48351780e-02...
[ 2020-01-28 10:43:51,275 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,275 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,275 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,276 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire2/expand1x1/Relu
[ 2020-01-28 10:43:51,276 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,277 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,279 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,280 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,283 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,284 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,284 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_1/concat
[ 2020-01-28 10:43:51,286 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:51,287 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,287 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,287 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,289 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,290 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  80  80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,294 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,294 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/squeeze1x1/convolution
[ 2020-01-28 10:43:51,294 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,296 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,296 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  80  80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,297 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 128  16], value = [[[[-0.07678859 -0.1564512   0.0640722  ... -0.00847915  0.07424648
     0.14681098]
   [ 0.07658...
[ 2020-01-28 10:43:51,298 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,301 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,306 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,306 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,306 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,307 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,307 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,308 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [16], value = [ 0.13107464  0.1858477  -0.11520658 -0.04803462  0.09699487  0.36024904
  0.10465035  0.02584735...
[ 2020-01-28 10:43:51,308 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,309 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,312 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,316 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/squeeze1x1/Relu
[ 2020-01-28 10:43:51,316 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,317 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,319 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,319 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,319 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,321 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,322 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand3x3/convolution
[ 2020-01-28 10:43:51,326 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,327 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,327 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,331 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 3  3 16 64], value = [[[[-0.05514664 -0.01930458 -0.10719214 ...  0.03511249  0.25547904
     0.09288667]
   [ 0.07706...
[ 2020-01-28 10:43:51,332 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,338 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,338 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,338 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand3x3/BiasAdd
[ 2020-01-28 10:43:51,339 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,340 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,342 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,343 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [64], value = [-0.01959793 -0.03306518 -0.00358311  0.02789312  0.01553925 -0.03247043
 -0.02789533  0.02088588...
[ 2020-01-28 10:43:51,347 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,348 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,349 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,350 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand3x3/Relu
[ 2020-01-28 10:43:51,350 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,351 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,354 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,355 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,359 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,359 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,360 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand1x1/convolution
[ 2020-01-28 10:43:51,360 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,361 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,362 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 16 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,362 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 1  1 16 64], value = [[[[-0.10710672 -0.01106737 -0.08972261 ...  0.10768329 -0.05536776
     0.00973058]
   [ 0.22964...
[ 2020-01-28 10:43:51,365 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,370 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,371 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,372 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand1x1/BiasAdd
[ 2020-01-28 10:43:51,372 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,373 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,373 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,374 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [64], value = [-0.01167229 -0.03264834  0.00442509 -0.06531227 -0.0390413  -0.04209773
 -0.0178735   0.13932233...
[ 2020-01-28 10:43:51,376 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,376 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,380 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,380 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire3/expand1x1/Relu
[ 2020-01-28 10:43:51,381 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,382 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,382 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,382 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,382 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,383 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,383 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_2/concat
[ 2020-01-28 10:43:51,384 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:51,388 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,388 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,392 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [ 1 64 80 80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,392 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,393 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  80  80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,393 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,393 ] [ DEBUG ] [ infer:130 ]  Partial infer for pool3/MaxPool
[ 2020-01-28 10:43:51,394 ] [ DEBUG ] [ infer:131 ]  Op: MaxPool
[ 2020-01-28 10:43:51,395 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,395 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  80  80], value = <UNKNOWN>
[ 2020-01-28 10:43:51,395 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,396 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,398 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,399 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/squeeze1x1/convolution
[ 2020-01-28 10:43:51,404 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,405 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,405 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,407 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 128  32], value = [[[[ 0.10423578  0.02397687 -0.24312714 ... -0.20805411 -0.20376521
    -0.17703013]
   [-0.03517...
[ 2020-01-28 10:43:51,409 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,413 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,414 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,414 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,414 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,415 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,416 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,417 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [32], value = [ 0.00243666  0.0247791  -0.03878604 -0.00610753 -0.03185894  0.02832191
 -0.0220264   0.03014253...
[ 2020-01-28 10:43:51,421 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,423 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,424 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,424 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/squeeze1x1/Relu
[ 2020-01-28 10:43:51,425 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,425 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,426 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,426 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,427 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,427 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,428 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand3x3/convolution
[ 2020-01-28 10:43:51,428 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,429 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,429 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,433 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  32 128], value = [[[[ 0.01974905  0.02361009 -0.00053015 ... -0.02741153  0.04470699
     0.01362453]
   [-0.04631...
[ 2020-01-28 10:43:51,434 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,436 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,436 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,437 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand3x3/BiasAdd
[ 2020-01-28 10:43:51,437 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,438 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,438 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,439 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [128], value = [ 1.43945951e-03 -1.06742429e-02 -3.29706422e-03  5.19553153e-03
  3.57679762e-02  1.80851910e-02...
[ 2020-01-28 10:43:51,440 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,441 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,441 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,441 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand3x3/Relu
[ 2020-01-28 10:43:51,442 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,446 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,446 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,447 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,447 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,448 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,448 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand1x1/convolution
[ 2020-01-28 10:43:51,448 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,450 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,450 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,451 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  32 128], value = [[[[ 2.1979645e-02  1.1799399e-01 -8.4924940e-03 ...  6.6692367e-02
    -6.9182009e-02  2.3847681...
[ 2020-01-28 10:43:51,451 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,452 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,453 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,454 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand1x1/BiasAdd
[ 2020-01-28 10:43:51,457 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,460 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,460 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,462 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [128], value = [-0.01104465 -0.01497341  0.02299101  0.0371733  -0.0137501   0.01702042
  0.06923524 -0.00082238...
[ 2020-01-28 10:43:51,463 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,463 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,464 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,464 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire4/expand1x1/Relu
[ 2020-01-28 10:43:51,466 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,467 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,473 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,473 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,474 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,474 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,474 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_3/concat
[ 2020-01-28 10:43:51,475 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:51,477 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,482 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,483 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,484 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,490 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,492 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,496 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/squeeze1x1/convolution
[ 2020-01-28 10:43:51,497 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,501 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,507 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,509 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 256  32], value = [[[[-0.03805217 -0.0939007  -0.01214836 ...  0.07065044 -0.05680984
    -0.05676818]
   [ 0.09679...
[ 2020-01-28 10:43:51,512 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,517 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,517 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,518 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,519 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,522 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,523 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,528 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [32], value = [ 0.06097506  0.00674511  0.15451887  0.03393465  0.10455245 -0.20818947
  0.05124909 -0.06361806...
[ 2020-01-28 10:43:51,528 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,529 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,530 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,530 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/squeeze1x1/Relu
[ 2020-01-28 10:43:51,532 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,533 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,539 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,539 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,540 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,540 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,540 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand3x3/convolution
[ 2020-01-28 10:43:51,541 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,542 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,544 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,547 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  32 128], value = [[[[ 1.16493471e-01  4.02942002e-02  5.25884293e-02 ... -3.34343798e-02
     3.07910014e-02  2.46...
[ 2020-01-28 10:43:51,548 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,549 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,550 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,550 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand3x3/BiasAdd
[ 2020-01-28 10:43:51,551 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,553 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,555 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,560 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [128], value = [-0.00019412  0.00472055 -0.00845106  0.00728287  0.00216785  0.00330037
 -0.0054591  -0.01450157...
[ 2020-01-28 10:43:51,561 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,561 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,562 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,562 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand3x3/Relu
[ 2020-01-28 10:43:51,562 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,563 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,566 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,566 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,572 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,572 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,572 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand1x1/convolution
[ 2020-01-28 10:43:51,572 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,573 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,573 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 32 40 40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,575 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  32 128], value = [[[[ 0.15756123  0.0126317  -0.0085533  ... -0.078428   -0.02287678
    -0.1836013 ]
   [-0.12148...
[ 2020-01-28 10:43:51,577 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,578 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,582 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,582 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand1x1/BiasAdd
[ 2020-01-28 10:43:51,583 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,583 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,583 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,585 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [128], value = [ 1.48186181e-02  1.77292433e-02 -1.71153545e-02  5.84319094e-03
  2.74598822e-02 -2.19542067e-02...
[ 2020-01-28 10:43:51,588 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,592 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,592 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,593 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire5/expand1x1/Relu
[ 2020-01-28 10:43:51,593 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,594 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,594 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,595 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,595 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,595 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,596 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_4/concat
[ 2020-01-28 10:43:51,596 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:51,597 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,600 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,600 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 128  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,605 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,605 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,605 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,606 ] [ DEBUG ] [ infer:130 ]  Partial infer for pool5/MaxPool
[ 2020-01-28 10:43:51,606 ] [ DEBUG ] [ infer:131 ]  Op: MaxPool
[ 2020-01-28 10:43:51,607 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,607 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  40  40], value = <UNKNOWN>
[ 2020-01-28 10:43:51,608 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,610 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,610 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,615 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/squeeze1x1/convolution
[ 2020-01-28 10:43:51,615 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,616 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,616 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,617 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 256  48], value = [[[[ 0.00780109 -0.03952342 -0.03677125 ... -0.0767467   0.07115876
     0.03734843]
   [-0.11953...
[ 2020-01-28 10:43:51,618 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,619 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,622 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,622 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,626 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,629 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,630 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,635 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [48], value = [ 0.01333002  0.00021221 -0.05915642  0.06015163  0.07895314  0.00810212
 -0.01720347  0.07453706...
[ 2020-01-28 10:43:51,642 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,643 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,644 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,644 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/squeeze1x1/Relu
[ 2020-01-28 10:43:51,647 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,648 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,653 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,653 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,654 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,654 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,655 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand3x3/convolution
[ 2020-01-28 10:43:51,655 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,657 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,659 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,666 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  48 192], value = [[[[ 1.70829298e-03  2.34671738e-02 -5.63735282e-03 ...  2.10066419e-02
    -1.02573121e-02 -4.38...
[ 2020-01-28 10:43:51,666 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,669 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,670 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,674 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand3x3/BiasAdd
[ 2020-01-28 10:43:51,675 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,675 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,676 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,678 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [192], value = [ 4.67514293e-03 -1.74196425e-03  5.42241288e-03 -8.35110247e-03
 -5.67081384e-03  1.62817759e-03...
[ 2020-01-28 10:43:51,680 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,684 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,685 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,685 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand3x3/Relu
[ 2020-01-28 10:43:51,687 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,687 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,690 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,690 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,694 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,694 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,695 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand1x1/convolution
[ 2020-01-28 10:43:51,695 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,696 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,697 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,697 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  48 192], value = [[[[ 0.00254652 -0.00343607 -0.1532458  ... -0.12018581  0.03887983
    -0.04254971]
   [-0.08688...
[ 2020-01-28 10:43:51,700 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,705 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,706 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,706 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand1x1/BiasAdd
[ 2020-01-28 10:43:51,707 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,707 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,708 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,712 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [192], value = [ 1.28012747e-02 -1.15010859e-02  2.83087604e-03  5.00838645e-03
 -7.23744370e-03  7.39649683e-03...
[ 2020-01-28 10:43:51,715 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,715 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,716 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,716 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire6/expand1x1/Relu
[ 2020-01-28 10:43:51,717 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,718 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,720 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,722 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,727 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,727 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,727 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_5/concat
[ 2020-01-28 10:43:51,728 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:51,729 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,729 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,729 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,730 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,730 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,731 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,733 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/squeeze1x1/convolution
[ 2020-01-28 10:43:51,738 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,739 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,740 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,740 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 384  48], value = [[[[-1.4489872e-02  7.6544166e-02  2.2019921e-03 ... -6.2243357e-02
     4.1298084e-02  2.8518710...
[ 2020-01-28 10:43:51,743 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,747 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,749 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,753 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,757 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,762 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,764 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,769 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [48], value = [ 0.04586294  0.01637374  0.16568872  0.02066529 -0.00317932 -0.02119085
  0.06571165  0.06571431...
[ 2020-01-28 10:43:51,774 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,775 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,775 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,776 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/squeeze1x1/Relu
[ 2020-01-28 10:43:51,779 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,779 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,783 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,784 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,785 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,786 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,786 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand3x3/convolution
[ 2020-01-28 10:43:51,789 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,790 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,794 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,797 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  48 192], value = [[[[ 0.10321987  0.08555839  0.05687418 ...  0.03429393  0.02620571
    -0.00157843]
   [ 0.00244...
[ 2020-01-28 10:43:51,798 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,800 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,806 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,806 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand3x3/BiasAdd
[ 2020-01-28 10:43:51,807 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,807 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,808 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,811 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [192], value = [-1.16820317e-02 -1.62440985e-02  1.02854604e-02  2.00495590e-02
 -3.77922654e-02  3.83107644e-03...
[ 2020-01-28 10:43:51,811 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,816 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,817 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,817 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand3x3/Relu
[ 2020-01-28 10:43:51,817 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,818 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,820 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,822 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,826 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,826 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,827 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand1x1/convolution
[ 2020-01-28 10:43:51,827 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,828 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,828 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 48 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,829 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  48 192], value = [[[[ 0.09245451  0.01100099  0.10021605 ...  0.01532538 -0.10764688
    -0.16215628]
   [-0.03896...
[ 2020-01-28 10:43:51,829 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,832 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,833 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,838 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand1x1/BiasAdd
[ 2020-01-28 10:43:51,838 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,839 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,839 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,841 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [192], value = [-0.01562768  0.08652116 -0.06892341 -0.00028423  0.03190674 -0.00134801
 -0.03281422  0.08189461...
[ 2020-01-28 10:43:51,843 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,847 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,847 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,848 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire7/expand1x1/Relu
[ 2020-01-28 10:43:51,848 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,849 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,849 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,849 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,850 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,850 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,854 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_6/concat
[ 2020-01-28 10:43:51,854 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:51,858 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,859 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,860 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 192  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,860 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,860 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,861 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,861 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/squeeze1x1/convolution
[ 2020-01-28 10:43:51,861 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,862 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,865 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,866 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 384  64], value = [[[[-0.04193709  0.09649125  0.02074493 ... -0.08881751  0.24952039
    -0.0431582 ]
   [ 0.08349...
[ 2020-01-28 10:43:51,871 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,872 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,872 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,872 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,874 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,876 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,880 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,881 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [64], value = [ 1.33942938e+00 -7.93924555e-02  1.00508995e-01 -1.32512957e-01
  2.89530829e-02 -1.07150964e-01...
[ 2020-01-28 10:43:51,882 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,882 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,883 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,883 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/squeeze1x1/Relu
[ 2020-01-28 10:43:51,884 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,888 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,888 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,892 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,892 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,893 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,893 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand3x3/convolution
[ 2020-01-28 10:43:51,893 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,895 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,895 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,902 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  64 256], value = [[[[ 0.04076039 -0.03314416  0.11313873 ...  0.00859562  0.06660631
    -0.03337244]
   [-0.01950...
[ 2020-01-28 10:43:51,904 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,906 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,909 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,909 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand3x3/BiasAdd
[ 2020-01-28 10:43:51,913 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,914 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,914 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,916 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [256], value = [-4.26048152e-02 -7.63704032e-02  1.23823052e-02 -2.54155323e-02
  3.74154076e-02  3.26950252e-02...
[ 2020-01-28 10:43:51,922 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,923 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,923 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,924 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand3x3/Relu
[ 2020-01-28 10:43:51,925 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,925 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,926 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,926 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,926 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,927 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,928 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand1x1/convolution
[ 2020-01-28 10:43:51,930 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,935 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,936 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,937 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  64 256], value = [[[[-0.01380184 -0.01523142  0.00409935 ... -0.01120419  0.0114913
    -0.01628515]
   [ 0.009115...
[ 2020-01-28 10:43:51,939 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,941 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,945 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,945 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand1x1/BiasAdd
[ 2020-01-28 10:43:51,945 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,946 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,946 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,949 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [256], value = [-8.79236104e-05  2.54281107e-02  6.56157658e-02  2.21997313e-02
  4.26864147e-01  5.96466847e-02...
[ 2020-01-28 10:43:51,955 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,956 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,956 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,956 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire8/expand1x1/Relu
[ 2020-01-28 10:43:51,957 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,957 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,958 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,958 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,959 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,961 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,965 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_7/concat
[ 2020-01-28 10:43:51,965 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:51,966 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,966 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,967 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,968 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,969 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 512  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,969 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,970 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/squeeze1x1/convolution
[ 2020-01-28 10:43:51,972 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:51,977 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,977 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 512  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,978 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 512  64], value = [[[[ 0.02406123  0.03069104 -0.03635762 ...  0.12538013  0.04766289
     0.02405885]
   [-0.01868...
[ 2020-01-28 10:43:51,979 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,979 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,980 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,982 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:51,982 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:51,988 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,989 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,990 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [64], value = [ 7.9631440e-02 -4.6922490e-02 -1.1765596e-01  1.0800725e-01
 -8.0674589e-03 -5.4216403e-01  5.10...
[ 2020-01-28 10:43:51,990 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,991 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,993 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:51,993 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/squeeze1x1/Relu
[ 2020-01-28 10:43:51,997 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:51,998 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:51,999 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:51,999 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:51,999 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,000 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,000 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand3x3/convolution
[ 2020-01-28 10:43:52,000 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,002 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,004 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,008 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  64 256], value = [[[[ 0.0878581   0.0397568   0.09922814 ...  0.05736951  0.0129834
     0.01432996]
   [-0.089191...
[ 2020-01-28 10:43:52,009 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,010 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,010 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,010 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand3x3/BiasAdd
[ 2020-01-28 10:43:52,011 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,011 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,012 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,014 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [256], value = [ 4.44143312e-03 -3.32379551e-03 -1.79354829e-04  4.54174262e-03
 -2.17015808e-03  4.41699615e-03...
[ 2020-01-28 10:43:52,015 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,022 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,023 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,024 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand3x3/Relu
[ 2020-01-28 10:43:52,028 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,033 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,033 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,034 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,036 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,038 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,038 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand1x1/convolution
[ 2020-01-28 10:43:52,043 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,045 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,045 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 64 20 20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,046 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  64 256], value = [[[[-0.09155547  0.00119148  0.07150049 ... -0.01778622  0.06507553
     0.14193833]
   [-0.04698...
[ 2020-01-28 10:43:52,048 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,051 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,056 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,057 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand1x1/BiasAdd
[ 2020-01-28 10:43:52,058 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,060 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,064 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,072 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [256], value = [ 1.97909568e-02  7.99767952e-03  2.14304682e-02  2.80183367e-02
  1.64285600e-02  1.08700404e-02...
[ 2020-01-28 10:43:52,073 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,079 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,079 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,081 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire9/expand1x1/Relu
[ 2020-01-28 10:43:52,088 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,089 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,090 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,090 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,091 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,091 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,092 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_8/concat
[ 2020-01-28 10:43:52,094 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:52,095 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,099 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,100 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 256  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,100 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,101 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 512  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,102 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,102 ] [ DEBUG ] [ infer:130 ]  Partial infer for pool9/MaxPool
[ 2020-01-28 10:43:52,105 ] [ DEBUG ] [ infer:131 ]  Op: MaxPool
[ 2020-01-28 10:43:52,105 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,109 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 512  20  20], value = <UNKNOWN>
[ 2020-01-28 10:43:52,110 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,110 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 512  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,111 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,111 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/squeeze1x1/convolution
[ 2020-01-28 10:43:52,111 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,113 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,115 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 512  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,117 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 512  96], value = [[[[ 0.00361631 -0.01045787  0.01475746 ...  0.00048118  0.01169763
    -0.00353438]
   [-0.00701...
[ 2020-01-28 10:43:52,122 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,123 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,125 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,125 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:52,130 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,131 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,131 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,132 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [96], value = [ 8.52435624e-05  5.54647064e-04  1.16982311e-03  2.87238305e-04
  6.18462625e-04 -5.56338964e-05...
[ 2020-01-28 10:43:52,133 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,134 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,137 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,137 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/squeeze1x1/Relu
[ 2020-01-28 10:43:52,141 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,142 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,142 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,143 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,143 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,144 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,144 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand3x3/convolution
[ 2020-01-28 10:43:52,145 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,146 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,148 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,152 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  96 384], value = [[[[-6.90733781e-03 -1.12262173e-02  1.73429158e-02 ...  1.24422321e-03
    -1.06848346e-03  1.47...
[ 2020-01-28 10:43:52,154 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,155 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,155 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,155 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand3x3/BiasAdd
[ 2020-01-28 10:43:52,156 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,156 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,159 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,162 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [384], value = [-8.70239979e-04 -4.75701818e-05  3.59632331e-03 -4.17141564e-04
 -4.93671396e-04  1.12183996e-04...
[ 2020-01-28 10:43:52,163 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,163 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,164 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,164 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand3x3/Relu
[ 2020-01-28 10:43:52,164 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,165 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,165 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,166 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,166 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,167 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,170 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand1x1/convolution
[ 2020-01-28 10:43:52,171 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,175 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,176 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,177 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  96 384], value = [[[[-1.1373861e-02  8.5675716e-03 -1.8393116e-04 ... -8.7603787e-03
    -1.6966587e-03 -1.0258706...
[ 2020-01-28 10:43:52,177 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,178 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,178 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,179 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand1x1/BiasAdd
[ 2020-01-28 10:43:52,182 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,182 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,187 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,191 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [384], value = [-5.14949243e-05 -3.45931185e-04  2.30110483e-04  1.04385149e-03
  1.06881373e-03  8.41993839e-04...
[ 2020-01-28 10:43:52,192 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,197 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,197 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,197 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire10/expand1x1/Relu
[ 2020-01-28 10:43:52,198 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,198 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,199 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,199 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,200 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,203 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,204 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_9/concat
[ 2020-01-28 10:43:52,208 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:52,208 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,208 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,209 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,209 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,209 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,210 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,210 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/squeeze1x1/convolution
[ 2020-01-28 10:43:52,211 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,212 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,214 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,215 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1 768  96], value = [[[[ 0.00305613 -0.00249171 -0.0012172  ...  0.00161176 -0.01141276
     0.00470073]
   [-0.00781...
[ 2020-01-28 10:43:52,219 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,220 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,220 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,221 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/squeeze1x1/BiasAdd
[ 2020-01-28 10:43:52,221 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,222 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,222 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,223 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [96], value = [ 1.58068109e-02 -1.95669266e-03  3.04841995e-03  4.03467081e-02
  3.64695527e-02  2.06387376e-05...
[ 2020-01-28 10:43:52,226 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,229 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,230 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,230 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/squeeze1x1/Relu
[ 2020-01-28 10:43:52,231 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,231 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,232 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,232 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,232 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,232 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,233 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand3x3/convolution
[ 2020-01-28 10:43:52,233 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,236 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,238 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,252 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3  96 384], value = [[[[-6.02865033e-03 -2.43702772e-04 -3.58522637e-03 ...  3.14422557e-03
    -1.90409820e-03 -2.21...
[ 2020-01-28 10:43:52,255 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,257 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,261 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,264 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand3x3/BiasAdd
[ 2020-01-28 10:43:52,265 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,266 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,267 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,272 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [384], value = [ 2.65479814e-02  1.06675609e-03  8.64031166e-03 -6.69375062e-03
  1.81316584e-02 -3.31318122e-03...
[ 2020-01-28 10:43:52,274 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,278 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,278 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,279 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand3x3/Relu
[ 2020-01-28 10:43:52,279 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,280 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,282 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,282 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,287 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,288 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,288 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand1x1/convolution
[ 2020-01-28 10:43:52,289 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,290 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,292 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 96 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,293 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1   1  96 384], value = [[[[-0.00126329 -0.00726753 -0.00838436 ... -0.00087139  0.00814331
    -0.01353289]
   [-0.00570...
[ 2020-01-28 10:43:52,296 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,297 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,297 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,298 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand1x1/BiasAdd
[ 2020-01-28 10:43:52,299 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,299 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,300 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,307 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [384], value = [ 1.55471312e-02  1.72632944e-03  1.23405429e-02  1.49003882e-02
  1.43880825e-02  4.66054800e-04...
[ 2020-01-28 10:43:52,308 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,308 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,309 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,309 ] [ DEBUG ] [ infer:130 ]  Partial infer for fire11/expand1x1/Relu
[ 2020-01-28 10:43:52,310 ] [ DEBUG ] [ infer:131 ]  Op: ReLU
[ 2020-01-28 10:43:52,310 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,311 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,311 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,311 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,312 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,315 ] [ DEBUG ] [ infer:130 ]  Partial infer for concatenate_10/concat
[ 2020-01-28 10:43:52,320 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:52,320 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,321 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,321 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 384  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,322 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,322 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,323 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,325 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/Switch_1
[ 2020-01-28 10:43:52,325 ] [ DEBUG ] [ infer:131 ]  Op: Switch
[ 2020-01-28 10:43:52,330 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,331 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,331 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = False
[ 2020-01-28 10:43:52,331 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,332 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,332 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,333 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/mul/Switch
[ 2020-01-28 10:43:52,334 ] [ DEBUG ] [ infer:131 ]  Op: Switch
[ 2020-01-28 10:43:52,337 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,338 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,339 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = False
[ 2020-01-28 10:43:52,340 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,340 ] [ DEBUG ] [ infer:32 ]  output[1]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,341 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,341 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/mul
[ 2020-01-28 10:43:52,341 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:52,342 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,342 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,343 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 1.0
[ 2020-01-28 10:43:52,344 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,344 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,345 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,347 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/div/mul_
[ 2020-01-28 10:43:52,348 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:52,351 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,352 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 2.0
[ 2020-01-28 10:43:52,353 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,353 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,354 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,354 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,355 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/Shape
[ 2020-01-28 10:43:52,355 ] [ DEBUG ] [ infer:131 ]  Op: ShapeOf
[ 2020-01-28 10:43:52,356 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,358 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,358 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,362 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [  1 768  10  10]
[ 2020-01-28 10:43:52,363 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,363 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/random_uniform/RandomUniform
[ 2020-01-28 10:43:52,363 ] [ DEBUG ] [ infer:131 ]  Op: RandomUniform
[ 2020-01-28 10:43:52,364 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,365 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [4], value = [  1 768  10  10]
[ 2020-01-28 10:43:52,365 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,366 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,366 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,366 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/random_uniform/mul
[ 2020-01-28 10:43:52,367 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:52,371 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,375 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,375 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 1.0
[ 2020-01-28 10:43:52,375 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,376 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,376 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,377 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/random_uniform
[ 2020-01-28 10:43:52,377 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,378 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,378 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,378 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 0.0
[ 2020-01-28 10:43:52,379 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,382 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,382 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,387 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/add
[ 2020-01-28 10:43:52,387 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,388 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,388 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 0.5
[ 2020-01-28 10:43:52,388 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,389 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,389 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,390 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,392 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/Floor
[ 2020-01-28 10:43:52,396 ] [ DEBUG ] [ infer:131 ]  Op: Floor
[ INFO ]  Called "tf_native_tf_node_infer" for node "drop11/cond/dropout/Floor"
[ 2020-01-28 10:43:52,399 ] [ DEBUG ] [ tf:222 ]  Added placeholder with name 'drop11/cond/dropout/add_port_0_ie_placeholder'
[ 2020-01-28 10:43:52,399 ] [ DEBUG ] [ tf:235 ]  update_input_in_pbs: replace input 'drop11/cond/dropout/add' with input 'drop11/cond/dropout/add_port_0_ie_placeholder'
[ 2020-01-28 10:43:52,400 ] [ DEBUG ] [ tf:243 ]  Replacing input '0' of the node 'drop11/cond/dropout/Floor' with placeholder 'drop11/cond/dropout/add_port_0_ie_placeholder'
[ 2020-01-28 10:43:52,408 ] [ DEBUG ] [ tf:142 ]  Inferred shape of the output tensor with index '0' of the node 'drop11/cond/dropout/Floor': '[  1 768  10  10]'
[ 2020-01-28 10:43:52,409 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,409 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,409 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,410 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,410 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,411 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/dropout/mul
[ 2020-01-28 10:43:52,411 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:52,412 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,412 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,414 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,420 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,420 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,421 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,421 ] [ DEBUG ] [ infer:130 ]  Partial infer for drop11/cond/Merge
[ 2020-01-28 10:43:52,421 ] [ DEBUG ] [ infer:131 ]  Op: Merge
[ 2020-01-28 10:43:52,422 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,422 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,423 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,425 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,429 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,430 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,430 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv12/convolution
[ 2020-01-28 10:43:52,430 ] [ DEBUG ] [ infer:131 ]  Op: Conv2D
[ 2020-01-28 10:43:52,432 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,432 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 768  10  10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,436 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  3   3 768  18], value = [[[[ 3.07378104e-05  9.64541468e-05 -1.27995270e-04 ... -2.68757064e-03
    -4.88787098e-03 -9.00...
[ 2020-01-28 10:43:52,438 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,439 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 18 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,439 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,440 ] [ DEBUG ] [ infer:130 ]  Partial infer for conv12/BiasAdd
[ 2020-01-28 10:43:52,440 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,441 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,441 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 18 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,442 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [18], value = [ 1.3714572e-04 -1.3714572e-04  0.0000000e+00 -8.3691019e-01
 -3.4491283e-01 -6.2842113e-01  6.87...
[ 2020-01-28 10:43:52,442 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,443 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 18 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,443 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,444 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_1/transpose
[ 2020-01-28 10:43:52,444 ] [ DEBUG ] [ infer:131 ]  Op: Transpose
[ 2020-01-28 10:43:52,445 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,448 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 18 10 10], value = <UNKNOWN>
[ 2020-01-28 10:43:52,449 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [4], value = [0 2 3 1]
[ 2020-01-28 10:43:52,450 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,450 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 10 10 18], value = <UNKNOWN>
[ 2020-01-28 10:43:52,451 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,452 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_4/strided_slice
[ 2020-01-28 10:43:52,452 ] [ DEBUG ] [ infer:131 ]  Op: StridedSlice
[ 2020-01-28 10:43:52,455 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,455 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 10 10 18], value = <UNKNOWN>
[ 2020-01-28 10:43:52,455 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [4], value = [0 6 0 0]
[ 2020-01-28 10:43:52,456 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [4], value = [0 0 0 0]
[ 2020-01-28 10:43:52,456 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:52,456 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,457 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [ 1 10 10 12], value = <UNKNOWN>
[ 2020-01-28 10:43:52,460 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,460 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Shape
[ 2020-01-28 10:43:52,463 ] [ DEBUG ] [ infer:131 ]  Op: ShapeOf
[ 2020-01-28 10:43:52,464 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,465 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 10 10 12], value = <UNKNOWN>
[ 2020-01-28 10:43:52,465 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,465 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [ 1 10 10 12]
[ 2020-01-28 10:43:52,466 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,466 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/strided_slice
[ 2020-01-28 10:43:52,467 ] [ DEBUG ] [ infer:131 ]  Op: StridedSlice
[ 2020-01-28 10:43:52,468 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,471 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [4], value = [ 1 10 10 12]
[ 2020-01-28 10:43:52,471 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:52,475 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,475 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,476 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,476 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:52,476 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,477 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/ExpandDims_541
[ 2020-01-28 10:43:52,477 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:52,478 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,478 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:52,481 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:52,481 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,486 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,487 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,487 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape/shape/Concat_
[ 2020-01-28 10:43:52,488 ] [ DEBUG ] [ infer:131 ]  Op: Concat
[ 2020-01-28 10:43:52,488 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,489 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,489 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [300]
[ 2020-01-28 10:43:52,490 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [1], value = [4]
[ 2020-01-28 10:43:52,492 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,497 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  1 300   4]
[ 2020-01-28 10:43:52,498 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,500 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_1/Reshape
[ 2020-01-28 10:43:52,503 ] [ DEBUG ] [ infer:131 ]  Op: Reshape
[ 2020-01-28 10:43:52,509 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,512 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [ 1 10 10 12], value = <UNKNOWN>
[ 2020-01-28 10:43:52,513 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [3], value = [  1 300   4]
[ 2020-01-28 10:43:52,513 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,515 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   4], value = <UNKNOWN>
[ 2020-01-28 10:43:52,518 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,523 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Shape
[ 2020-01-28 10:43:52,523 ] [ DEBUG ] [ infer:131 ]  Op: ShapeOf
[ 2020-01-28 10:43:52,524 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,524 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   4], value = <UNKNOWN>
[ 2020-01-28 10:43:52,524 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,525 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  1 300   4]
[ 2020-01-28 10:43:52,525 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,526 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/strided_slice
[ 2020-01-28 10:43:52,527 ] [ DEBUG ] [ infer:131 ]  Op: StridedSlice
[ 2020-01-28 10:43:52,529 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,532 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [3], value = [  1 300   4]
[ 2020-01-28 10:43:52,533 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:52,533 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,534 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,534 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,535 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:52,536 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,538 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/ExpandDims_527
[ 2020-01-28 10:43:52,542 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:52,543 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,543 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:52,544 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:52,544 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,544 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,545 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,545 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape/shape/Concat_
[ 2020-01-28 10:43:52,546 ] [ DEBUG ] [ infer:131 ]  Op: Concat
[ 2020-01-28 10:43:52,548 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,554 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,554 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,554 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [1], value = [300]
[ 2020-01-28 10:43:52,555 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [1], value = [4]
[ 2020-01-28 10:43:52,555 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,556 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [4], value = [  1   1 300   4]
[ 2020-01-28 10:43:52,558 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,562 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_2/Reshape
[ 2020-01-28 10:43:52,562 ] [ DEBUG ] [ infer:131 ]  Op: Reshape
[ 2020-01-28 10:43:52,563 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,563 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   4], value = <UNKNOWN>
[ 2020-01-28 10:43:52,564 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [4], value = [  1   1 300   4]
[ 2020-01-28 10:43:52,564 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,565 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 300   4], value = <UNKNOWN>
[ 2020-01-28 10:43:52,565 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,565 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_8/strided_slice
[ 2020-01-28 10:43:52,566 ] [ DEBUG ] [ infer:131 ]  Op: StridedSlice
[ 2020-01-28 10:43:52,574 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,574 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 300   4], value = <UNKNOWN>
[ 2020-01-28 10:43:52,574 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [4], value = [0 3 0 0]
[ 2020-01-28 10:43:52,575 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [4], value = [0 4 0 0]
[ 2020-01-28 10:43:52,575 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [4], value = [1 1 1 1]
[ 2020-01-28 10:43:52,576 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,576 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1   1 300], value = <UNKNOWN>
[ 2020-01-28 10:43:52,576 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,577 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Shape
[ 2020-01-28 10:43:52,577 ] [ DEBUG ] [ infer:131 ]  Op: ShapeOf
[ 2020-01-28 10:43:52,578 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,580 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 300], value = <UNKNOWN>
[ 2020-01-28 10:43:52,584 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,585 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  1   1 300]
[ 2020-01-28 10:43:52,586 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,586 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/strided_slice
[ 2020-01-28 10:43:52,587 ] [ DEBUG ] [ infer:131 ]  Op: StridedSlice
[ 2020-01-28 10:43:52,588 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,588 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [3], value = [  1   1 300]
[ 2020-01-28 10:43:52,589 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:52,591 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,591 ] [ DEBUG ] [ infer:32 ]  input[3]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,595 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,596 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [], value = 1
[ 2020-01-28 10:43:52,596 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,596 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/ExpandDims_535
[ 2020-01-28 10:43:52,597 ] [ DEBUG ] [ infer:131 ]  Op: Unsqueeze
[ 2020-01-28 10:43:52,598 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,598 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 1
[ 2020-01-28 10:43:52,599 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [0]
[ 2020-01-28 10:43:52,600 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,603 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,604 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,608 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape/shape/Concat_
[ 2020-01-28 10:43:52,608 ] [ DEBUG ] [ infer:131 ]  Op: Concat
[ 2020-01-28 10:43:52,609 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,609 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,610 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [1], value = [300]
[ 2020-01-28 10:43:52,610 ] [ DEBUG ] [ infer:32 ]  input[2]: shape = [1], value = [1]
[ 2020-01-28 10:43:52,611 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,611 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,612 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,614 ] [ DEBUG ] [ infer:130 ]  Partial infer for reshape_6/Reshape
[ 2020-01-28 10:43:52,614 ] [ DEBUG ] [ infer:131 ]  Op: Reshape
[ 2020-01-28 10:43:52,620 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,620 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1   1 300], value = <UNKNOWN>
[ 2020-01-28 10:43:52,620 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,621 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,621 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,622 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,622 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_12/Reshape
[ 2020-01-28 10:43:52,623 ] [ DEBUG ] [ infer:131 ]  Op: Reshape
[ 2020-01-28 10:43:52,625 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,626 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,629 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [3], value = [ -1 300   1]
[ 2020-01-28 10:43:52,630 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,630 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,630 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,631 ] [ DEBUG ] [ infer:130 ]  Partial infer for sub_1/add_
[ 2020-01-28 10:43:52,631 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,632 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,632 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = -1.0
[ 2020-01-28 10:43:52,633 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,633 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,633 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,637 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,638 ] [ DEBUG ] [ infer:130 ]  Partial infer for add_1
[ 2020-01-28 10:43:52,642 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,642 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,643 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,643 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 1.0
[ 2020-01-28 10:43:52,643 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,644 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,645 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,645 ] [ DEBUG ] [ infer:130 ]  Partial infer for mul_1
[ 2020-01-28 10:43:52,646 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:52,648 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,653 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [], value = 2.7182817
[ 2020-01-28 10:43:52,654 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,656 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,661 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,666 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,668 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/zeros_like/mul_
[ 2020-01-28 10:43:52,672 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:52,675 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,679 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,681 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 0
[ 2020-01-28 10:43:52,686 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,690 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,691 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,692 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/Shape_1
[ 2020-01-28 10:43:52,693 ] [ DEBUG ] [ infer:131 ]  Op: ShapeOf
[ 2020-01-28 10:43:52,695 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,698 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,703 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,704 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,706 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,707 ] [ DEBUG ] [ infer:130 ]  Partial infer for Greater_1
[ 2020-01-28 10:43:52,711 ] [ DEBUG ] [ infer:131 ]  Op: Greater
[ 2020-01-28 10:43:52,712 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,712 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,713 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 1.0
[ 2020-01-28 10:43:52,713 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,714 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,716 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,722 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/Shape
[ 2020-01-28 10:43:52,722 ] [ DEBUG ] [ infer:131 ]  Op: ShapeOf
[ 2020-01-28 10:43:52,723 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,723 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [  1 300   1], value = <UNKNOWN>
[ 2020-01-28 10:43:52,723 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,724 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,724 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,725 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/concat
[ 2020-01-28 10:43:52,727 ] [ DEBUG ] [ infer:131 ]  Op: ConcatV2
[ 2020-01-28 10:43:52,732 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,732 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,732 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [0], value = []
[ 2020-01-28 10:43:52,733 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,733 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,734 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,735 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/sub/negate_
[ 2020-01-28 10:43:52,737 ] [ DEBUG ] [ infer:131 ]  Op: Mul
[ 2020-01-28 10:43:52,742 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,742 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,743 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = -1
[ 2020-01-28 10:43:52,743 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,744 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [  -1 -300   -1]
[ 2020-01-28 10:43:52,744 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,744 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/sub/add_
[ 2020-01-28 10:43:52,745 ] [ DEBUG ] [ infer:131 ]  Op: Add
[ 2020-01-28 10:43:52,745 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,746 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [3], value = [  -1 -300   -1]
[ 2020-01-28 10:43:52,748 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [3], value = [  1 300   1]
[ 2020-01-28 10:43:52,748 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,754 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [0 0 0]
[ 2020-01-28 10:43:52,755 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,755 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/Greater
[ 2020-01-28 10:43:52,756 ] [ DEBUG ] [ infer:131 ]  Op: Greater
[ 2020-01-28 10:43:52,756 ] [ DEBUG ] [ infer:142 ]  Inputs:
[ 2020-01-28 10:43:52,757 ] [ DEBUG ] [ infer:32 ]  input[0]: shape = [3], value = [0 0 0]
[ 2020-01-28 10:43:52,758 ] [ DEBUG ] [ infer:32 ]  input[1]: shape = [], value = 0
[ 2020-01-28 10:43:52,759 ] [ DEBUG ] [ infer:144 ]  Outputs:
[ 2020-01-28 10:43:52,763 ] [ DEBUG ] [ infer:32 ]  output[0]: shape = [3], value = [False False False]
[ 2020-01-28 10:43:52,763 ] [ DEBUG ] [ infer:129 ]  --------------------
[ 2020-01-28 10:43:52,765 ] [ DEBUG ] [ infer:130 ]  Partial infer for lambda_17/Select
[ 2020-01-28 10:43:52,765 ] [ DEBUG ] [ infer:131 ]  Op: Select
[ ERROR ]  Cannot infer shapes or values for node "lambda_17/Select".
[ ERROR ]
[ ERROR ]
[ ERROR ]  It can happen due to bug in custom shape infer function <function Select.infer at 0x00000296F4A5A8C8>.
[ ERROR ]  Or because the node inputs have incorrect values/shapes.
[ ERROR ]  Or because input shapes are incorrect (embedded to the model or passed via --input_shape).
[ 2020-01-28 10:43:52,775 ] [ DEBUG ] [ infer:196 ]  Node "lambda_17/Select" attributes: {'pb': name: "lambda_17/Select"
op: "Select"
input: "lambda_17/Greater"
input: "lambda_17/Shape_1"
input: "lambda_17/ones_like"
attr {
  key: "T"
  value {
    type: DT_INT32
  }
}
, '_in_ports': {0: {'control_flow': False}, 1: {'control_flow': False}, 2: {'control_flow': False}}, '_out_ports': {0: {'control_flow': False}}, 'kind': 'op', 'name': 'lambda_17/Select', 'op': 'Select', 'precision': 'FP32', 'type': 'Select', 'in_ports_count': 3, 'out_ports_count': 1, 'infer': <function Select.infer at 0x00000296F4A5A8C8>, 'format': 'tf', 'dim_attrs': ['spatial_dims', 'batch_dims', 'channel_dims', 'axis'], 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x00000296F57C7E18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': False}
[ ERROR ]
Stopped shape/value propagation at "lambda_17/Select" node.
 For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.
Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>):
Stopped shape/value propagation at "lambda_17/Select" node.
 For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.
[ 2020-01-28 10:43:52,778 ] [ DEBUG ] [ main:304 ]  Traceback (most recent call last):
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\middle\passes\infer.py", line 132, in partial_infer
    node.infer(node)
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\extensions\ops\select.py", line 55, in infer
    assert condition_node.value.size == 1
AssertionError

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

Traceback (most recent call last):
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 273, in apply_replacements
    for_graph_and_each_sub_graph_recursively(graph, replacer.find_and_replace_pattern)
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\middle\pattern_match.py", line 58, in for_graph_and_each_sub_graph_recursively
    func(graph)
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\extensions\middle\PartialInfer.py", line 31, in find_and_replace_pattern
    partial_infer(graph)
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\middle\passes\infer.py", line 198, in partial_infer
    refer_to_faq_msg(38)) from err
mo.utils.error.Error:
Stopped shape/value propagation at "lambda_17/Select" node.
 For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.

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

Traceback (most recent call last):
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\main.py", line 298, in main
    return driver(argv)
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\main.py", line 247, in driver
    is_binary=not argv.input_model_is_text)
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\pipeline\tf.py", line 138, in tf2nx
    class_registration.apply_replacements(graph, class_registration.ClassType.MIDDLE_REPLACER)
  File "C:\Program Files (x86)\IntelSWTools\openvino_2019.3.379\deployment_tools\model_optimizer\mo\utils\class_registration.py", line 293, in apply_replacements
    )) from err
mo.utils.error.Error:
Stopped shape/value propagation at "lambda_17/Select" node.
 For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.
Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>):
Stopped shape/value propagation at "lambda_17/Select" node.
 For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.