(virtualenv-python) superuser@superuser-virtual-machine:/opt/intel/openvino/deployment_tools/model_optimizer$ python3 mo_tf.py --input_meta_graph ~/ckpt/ckpt.meta --log_level=DEBUG [ 2019-06-27 15:34:33,192 ] [ DEBUG ] [ main:133 ] Namespace(batch=None, data_type='float', disable_fusing=False, disable_gfusing=False, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, enable_concat_optimization=False, extensions='/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, generate_deprecated_IR_V2=False, input=None, input_checkpoint=None, input_meta_graph='/home/superuser/ckpt/ckpt.meta', input_model=None, input_model_is_text=False, input_shape=None, keep_shape_ops=False, log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=False, output=None, output_dir='/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/.', reverse_input_channels=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, tensorboard_logdir=None, tensorflow_custom_layer_libraries=None, tensorflow_custom_operations_config_update=None, tensorflow_object_detection_api_pipeline_config=None, tensorflow_operation_patterns=None, tensorflow_subgraph_patterns=None, tensorflow_use_custom_operations_config=None, version=False) [ 2019-06-27 15:34:33,192 ] [ DEBUG ] [ main:134 ] Model Optimizer started [ 2019-06-27 15:34:33,192 ] [ DEBUG ] [ main:148 ] Output model name would be ckpt{.xml, .bin} Model Optimizer arguments: Common parameters: - Path to the Input Model: None - Path for generated IR: /opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/. - IR output name: ckpt - 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: Not specified, inherited from the model - Mean values: Not specified - Scale values: Not specified - Scale factor: Not specified - Precision of IR: FP32 - Enable fusing: True - Enable grouped convolutions fusing: True - Move mean values to preprocess section: False - Reverse input channels: False TensorFlow specific parameters: - Input model in text protobuf format: False - 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: 2019.1.1-83-g28dfbfd /opt/movidius/virtualenv-python/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility. Expected 96, got 88 return f(*args, **kwds) /usr/lib/python3.5/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`. from ._conv import register_converters as _register_converters [ 2019-06-27 15:34:33,928 ] [ DEBUG ] [ main:234 ] Placeholder shapes : None [ INFO ] Importing extensions from: /opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Eltwise [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SoftMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Crop [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Deconvolution [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Concat [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: EltwiseN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ScaleShift [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReLU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Flatten [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Input [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FullyConnected [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StridedSlice [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Memory [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Const [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FlattenONNX [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Activation [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Shape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: OpOutput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reshape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Convolution [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Split [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Clamp [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: UnknownOp [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Elu [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sigmoid [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tanh [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StridedSlice [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] Importing extensions from: /opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/extensions [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseSequence [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Splice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronGenerateProposalsSingleImage [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assert [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PriorBox [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorOutput [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Range [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayV3 [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Select [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Quantize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorBackEdge [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SquaredDifference [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Normalize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Identity [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReorgYolo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIterator [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DataAugmentation [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayWriteV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronTopKROIs [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PReLU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PredictionHeatmap [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Switch [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorCondition [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Cast [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NextIteration [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PowerFile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: InstanceNormalization [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Accum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PSROIPooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: RNN [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Axpy [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SplitV [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArraySizeV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CTCGreedyDecoder [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PriorBoxClustered [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayScatterV3 [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ShuffleChannel [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronROIFeatureExtractor [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorInput [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronPriorGridGenerator [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayGatherV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthToSpace [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MVN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SimplerNMS [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTMSequence [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GRUCell [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DetectionOutput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Resample [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: RegionYolo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Merge [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SpatialTransformer [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Enter [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Proposal [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayReadV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTMCell [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Interp [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GRU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Correlation [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GatherNd [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reverse [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Exp [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StopGradient [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Binarization [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ConstantFill [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rank [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronDetectionOutput [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Exit [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: RNNCell [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sub [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: EltwiseN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ImageScaler [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reciprocal [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: InstanceNormalization [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Div [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SquaredDifference [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: VariableV2 [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NextIteration [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Shape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResizeBilinear [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResizeNearestNeighbor [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv3DBackpropInputV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MaxPool [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv2D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MirrorPad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SplitV [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Softmax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CropAndResize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Max [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Exp [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayGatherV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Variable [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FIFOQueueV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthwiseConv2dNative [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResourceGather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CTCGreedyDecoder [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv3D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StopGradient [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Square [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GatherV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv2DBackpropInput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AvgPool [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rank [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Concat [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PadV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthToSpace [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Cast [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseSequence [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sqrt [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExtractImagePatches [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MaxPool3D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AvgPool3D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AddN [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assert [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assign [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AssignAdd [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FakeConst [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Unpack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CropAndResize [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ZerosLike [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AssignSub [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Minimum [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reduce [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ 2019-06-27 15:34:36,320 ] [ DEBUG ] [ class_registration:48 ] All replacers has unique idxs. [ INFO ] Restoring parameters from %s [ INFO ] Froze %d variables. [ INFO ] Converted %d variables to const ops. [ WARNING ] TensorFlow post-processing of loaded model was unsuccessful. This is an optional step that Model Optimizer performs for any input model but it is not usually required for all models.It likely means that the original model is ill-formed. Model Optimizer will continue converting this model. [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ tf:92 ] Number of nodes in graph_def: 415 [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2D to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Slice to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool3D to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sum to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PadV2 to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CTCGreedyDecoder to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3D to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cast to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tile to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Variable to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Gather to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool3D to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pad to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayGatherV3 to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2DBackpropInput to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Softmax to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Elu to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseV2 to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherV2 to extractors with custom extractor class . [ 2019-06-27 15:34:36,684 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sigmoid to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Concat to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StopGradient to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddN to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Exp to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry VariableV2 to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SplitV to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExtractImagePatches to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FIFOQueueV2 to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthwiseConv2dNative to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CropAndResize to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResourceGather to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseSequence to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tanh to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sqrt to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Shape to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MirrorPad to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeBilinear to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NextIteration to extractors with custom extractor class . [ 2019-06-27 15:34:36,685 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthToSpace to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeNearestNeighbor to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Max to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StridedSlice to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ArgMax to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rank to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BlockLSTM to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:70 ] Overridden extractor entry Square by custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayV3 to extractors with custom extractor class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Merge to extractors with custom op class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Range to extractors with custom op class . [ 2019-06-27 15:34:36,686 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SimplerNMS to extractors with custom op class . [ 2019-06-27 15:34:36,687 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Pooling to extractors with custom op class . [ 2019-06-27 15:34:36,687 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FullyConnected to extractors with custom op class . [ 2019-06-27 15:34:36,688 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShuffleChannel to extractors with custom op class . [ 2019-06-27 15:34:36,688 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PowerFile to extractors with custom op class . [ 2019-06-27 15:34:36,688 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Binarization to extractors with custom op class . [ 2019-06-27 15:34:36,688 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRU to extractors with custom op class . [ 2019-06-27 15:34:36,688 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry BN to extractors with custom op class . [ 2019-06-27 15:34:36,688 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRUCell to extractors with custom op class . [ 2019-06-27 15:34:36,688 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorInput to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Flatten to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorBackEdge to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ReorgYolo to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PredictionHeatmap to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PReLU to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Quantize to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GatherNd to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantFill to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SpatialTransformer to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Switch to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronROIFeatureExtractor to extractors with custom op class . [ 2019-06-27 15:34:36,689 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry InstanceNormalization to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Enter to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRN to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Splice to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Memory to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RegionYolo to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Exit to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Activation to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Reverse to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Deconvolution to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PSROIPooling to extractors with custom op class . [ 2019-06-27 15:34:36,690 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTM to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Select to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Assert to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DetectionOutput to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Normalize to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorCondition to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseN to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronGenerateProposalsSingleImage to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorOutput to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronTopKROIs to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIterator to extractors with custom op class . [ 2019-06-27 15:34:36,691 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Resample to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DataAugmentation to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayWriteV3 to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Input to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayReadV3 to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArraySizeV3 to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MVN to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Accum to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry OpOutput to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Axpy to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMSequence to extractors with custom op class . [ 2019-06-27 15:34:36,692 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Correlation to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interp to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SquaredDifference to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronPriorGridGenerator to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNN to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Crop to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Convolution to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Clamp to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Proposal to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronDetectionOutput to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBoxClustered to extractors with custom op class . [ 2019-06-27 15:34:36,693 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Eltwise to extractors with custom op class . [ 2019-06-27 15:34:36,694 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayScatterV3 to extractors with custom op class . [ 2019-06-27 15:34:36,694 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBox to extractors with custom op class . [ 2019-06-27 15:34:36,694 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMCell to extractors with custom op class . [ 2019-06-27 15:34:36,694 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FlattenONNX to extractors with custom op class . [ 2019-06-27 15:34:36,694 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ScaleShift to extractors with custom op class . [ 2019-06-27 15:34:36,694 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNNCell to extractors with custom op class . [ 2019-06-27 15:34:36,733 ] [ DEBUG ] [ utils:78 ] value = [16], shape = [], res = [16], res.shape = (1,) [ 2019-06-27 15:34:36,740 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,740 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,741 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,741 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [26] [ 2019-06-27 15:34:36,742 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [26] and value.shape = (26,) [ 2019-06-27 15:34:36,742 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,742 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,743 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-06-27 15:34:36,743 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,744 ] [ DEBUG ] [ utils:78 ] value = [2], shape = [], res = [2], res.shape = (1,) [ 2019-06-27 15:34:36,745 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,745 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [2] and value.shape = (2,) [ 2019-06-27 15:34:36,747 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,748 ] [ DEBUG ] [ utils:78 ] value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,) [ 2019-06-27 15:34:36,748 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,749 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 16 16] and value.shape = (5, 16, 16) [ 2019-06-27 15:34:36,749 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,749 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,750 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,751 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,751 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,753 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [26] [ 2019-06-27 15:34:36,754 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [26] and value.shape = (26,) [ 2019-06-27 15:34:36,755 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-06-27 15:34:36,755 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,756 ] [ DEBUG ] [ utils:78 ] value = [9.999999747378752e-05], shape = [], res = [1.e-04], res.shape = (1,) [ 2019-06-27 15:34:36,756 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,757 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,758 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-06-27 15:34:36,758 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,760 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,762 ] [ DEBUG ] [ utils:78 ] value = [9.999999747378752e-05], shape = [], res = [1.e-04], res.shape = (1,) [ 2019-06-27 15:34:36,762 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,764 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 128 6000] and value.shape = (128, 6000) [ 2019-06-27 15:34:36,764 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [10 16 16] and value.shape = (10, 16, 16) [ 2019-06-27 15:34:36,765 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [3] and value.shape = (3,) [ 2019-06-27 15:34:36,766 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2019-06-27 15:34:36,766 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,766 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-06-27 15:34:36,766 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,770 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [6000 128] and value.shape = (6000, 128) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,771 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [26] [ 2019-06-27 15:34:36,772 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [26] and value.shape = (26,) [ 2019-06-27 15:34:36,773 ] [ DEBUG ] [ utils:78 ] value = [b'model'], shape = [], res = ['model'], res.shape = (1,) [ 2019-06-27 15:34:36,773 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,774 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-06-27 15:34:36,775 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,785 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,786 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,786 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,786 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,792 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,793 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-06-27 15:34:36,794 ] [ DEBUG ] [ utils:78 ] value = [375], shape = [], res = [375], res.shape = (1,) [ 2019-06-27 15:34:36,794 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,796 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,797 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ WARNING ] Broadcast of scalar to shape: [26] [ 2019-06-27 15:34:36,797 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [26] and value.shape = (26,) [ 2019-06-27 15:34:36,799 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 16 3] and value.shape = (3, 16, 3) [ 2019-06-27 15:34:36,799 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,801 ] [ DEBUG ] [ utils:78 ] value = [9.999999747378752e-05], shape = [], res = [1.e-04], res.shape = (1,) [ 2019-06-27 15:34:36,801 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,803 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [10 3 16] and value.shape = (10, 3, 16) [ 2019-06-27 15:34:36,804 ] [ DEBUG ] [ utils:78 ] value = [2], shape = [], res = [2], res.shape = (1,) [ 2019-06-27 15:34:36,804 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,804 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,807 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2019-06-27 15:34:36,807 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,808 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [2] and value.shape = (2,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,809 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,809 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,810 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 32 128] and value.shape = (32, 128) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,811 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,812 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [2] and value.shape = (2,) [ 2019-06-27 15:34:36,813 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,813 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,815 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,815 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,816 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,817 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [6000] and value.shape = (6000,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,818 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,818 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128 32] and value.shape = (128, 32) [ 2019-06-27 15:34:36,819 ] [ DEBUG ] [ utils:78 ] value = [-1], shape = [], res = [-1], res.shape = (1,) [ 2019-06-27 15:34:36,819 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,820 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,820 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 16 16] and value.shape = (5, 16, 16) [ 2019-06-27 15:34:36,821 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,823 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-06-27 15:34:36,823 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,896 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,897 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2019-06-27 15:34:36,897 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,898 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-06-27 15:34:36,898 ] [ DEBUG ] [ utils:78 ] value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,) [ 2019-06-27 15:34:36,898 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-06-27 15:34:36,900 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,900 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,901 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,902 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,902 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-06-27 15:34:36,904 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-06-27 15:34:36,904 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-06-27 15:34:36,904 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Instructions/layers that do not have attribute extractors: [ WARNING ] SaveV2 (1) [ WARNING ] save/SaveV2 [ WARNING ] VarIsInitializedOp (52) [ WARNING ] batch_normalization_v1_1/moving_mean/IsInitialized/VarIsInitializedOp [ WARNING ] conv1d_2/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_7 [ WARNING ] VarIsInitializedOp_17 [ WARNING ] VarIsInitializedOp_25 [ WARNING ] batch_normalization_v1_1/beta/IsInitialized/VarIsInitializedOp [ WARNING ] conv1d_3/bias/IsInitialized/VarIsInitializedOp [ WARNING ] batch_normalization_v1/moving_mean/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_5 [ WARNING ] dense_2/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] conv1d_4/bias/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_10 [ WARNING ] VarIsInitializedOp_11 [ WARNING ] VarIsInitializedOp_8 [ WARNING ] dense_2/bias/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_14 [ WARNING ] batch_normalization_v1/gamma/IsInitialized/VarIsInitializedOp [ WARNING ] batch_normalization_v1_1/moving_variance/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_1 [ WARNING ] VarIsInitializedOp_20 [ WARNING ] VarIsInitializedOp_19 [ WARNING ] VarIsInitializedOp_3 [ WARNING ] batch_normalization_v1/moving_variance/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_24 [ WARNING ] VarIsInitializedOp_21 [ WARNING ] conv1d_1/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_13 [ WARNING ] conv1d_1/bias/IsInitialized/VarIsInitializedOp [ WARNING ] conv1d_2/bias/IsInitialized/VarIsInitializedOp [ WARNING ] batch_normalization_v1_1/gamma/IsInitialized/VarIsInitializedOp [ WARNING ] conv1d_4/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] conv1d_3/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_23 [ WARNING ] bottleneck/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] bottleneck/bias/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_6 [ WARNING ] VarIsInitializedOp_22 [ WARNING ] VarIsInitializedOp_9 [ WARNING ] dense_1/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_2 [ WARNING ] batch_normalization_v1/beta/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_16 [ WARNING ] dense/bias/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp [ WARNING ] dense/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_12 [ WARNING ] VarIsInitializedOp_4 [ WARNING ] dense_1/bias/IsInitialized/VarIsInitializedOp [ WARNING ] conv1d/kernel/IsInitialized/VarIsInitializedOp [ WARNING ] VarIsInitializedOp_15 [ WARNING ] VarIsInitializedOp_18 [ WARNING ] conv1d/bias/IsInitialized/VarIsInitializedOp [ WARNING ] AssignVariableOp (52) [ WARNING ] AssignVariableOp_18 [ WARNING ] save/AssignVariableOp_3 [ WARNING ] AssignVariableOp_20 [ WARNING ] save/AssignVariableOp_18 [ WARNING ] save/AssignVariableOp_16 [ WARNING ] AssignVariableOp_10 [ WARNING ] AssignVariableOp_7 [ WARNING ] AssignVariableOp_3 [ WARNING ] save/AssignVariableOp_6 [ WARNING ] AssignVariableOp_2 [ WARNING ] AssignVariableOp_21 [ WARNING ] AssignVariableOp_8 [ WARNING ] AssignVariableOp_11 [ WARNING ] save/AssignVariableOp_5 [ WARNING ] AssignVariableOp_14 [ WARNING ] AssignVariableOp_1 [ WARNING ] AssignVariableOp_5 [ WARNING ] save/AssignVariableOp_12 [ WARNING ] AssignVariableOp_19 [ WARNING ] save/AssignVariableOp_22 [ WARNING ] AssignVariableOp_9 [ WARNING ] AssignVariableOp_12 [ WARNING ] save/AssignVariableOp_20 [ WARNING ] save/AssignVariableOp_2 [ WARNING ] save/AssignVariableOp_15 [ WARNING ] save/AssignVariableOp_14 [ WARNING ] AssignVariableOp_23 [ WARNING ] save/AssignVariableOp_9 [ WARNING ] AssignVariableOp_24 [ WARNING ] save/AssignVariableOp_11 [ WARNING ] AssignVariableOp_13 [ WARNING ] AssignVariableOp_6 [ WARNING ] AssignVariableOp_17 [ WARNING ] save/AssignVariableOp_10 [ WARNING ] save/AssignVariableOp [ WARNING ] AssignVariableOp_15 [ WARNING ] AssignVariableOp_16 [ WARNING ] save/AssignVariableOp_25 [ WARNING ] save/AssignVariableOp_4 [ WARNING ] save/AssignVariableOp_1 [ WARNING ] save/AssignVariableOp_24 [ WARNING ] save/AssignVariableOp_19 [ WARNING ] save/AssignVariableOp_7 [ WARNING ] save/AssignVariableOp_13 [ WARNING ] AssignVariableOp_25 [ WARNING ] save/AssignVariableOp_21 [ WARNING ] AssignVariableOp_22 [ WARNING ] save/AssignVariableOp_23 [ WARNING ] AssignVariableOp_4 [ WARNING ] save/AssignVariableOp_8 [ WARNING ] AssignVariableOp [ WARNING ] save/AssignVariableOp_17 [ WARNING ] RestoreV2 (1) [ WARNING ] save/RestoreV2 [ 2019-06-27 15:34:36,918 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,918 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,919 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,920 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,921 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,921 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,921 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,921 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,921 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,931 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,931 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,931 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,932 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,933 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,934 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,935 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,939 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,939 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,939 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,939 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,939 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:36,940 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:36,941 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:36,946 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:36,949 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_18/sink_port_0 for node AssignVariableOp_18 [ 2019-06-27 15:34:36,949 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d8a60>, 'op': 'OpOutput', 'name': 'AssignVariableOp_18/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85bbf42048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,949 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_18 to AssignVariableOp_18/sink_port_0 [ 2019-06-27 15:34:36,950 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_20/sink_port_0 for node AssignVariableOp_20 [ 2019-06-27 15:34:36,950 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d68c8>, 'op': 'OpOutput', 'name': 'AssignVariableOp_20/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2dd6a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,950 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_20 to AssignVariableOp_20/sink_port_0 [ 2019-06-27 15:34:36,950 ] [ DEBUG ] [ graph:763 ] Sink: dense_2/ActivityRegularizer/truediv/sink_port_0 for node dense_2/ActivityRegularizer/truediv [ 2019-06-27 15:34:36,950 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d6ea0>, 'op': 'OpOutput', 'name': 'dense_2/ActivityRegularizer/truediv/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2ddd08>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,950 ] [ DEBUG ] [ graph:765 ] Add edge from dense_2/ActivityRegularizer/truediv to dense_2/ActivityRegularizer/truediv/sink_port_0 [ 2019-06-27 15:34:36,951 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_10/sink_port_0 for node AssignVariableOp_10 [ 2019-06-27 15:34:36,951 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2dd598>, 'op': 'OpOutput', 'name': 'AssignVariableOp_10/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d66a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,951 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_10 to AssignVariableOp_10/sink_port_0 [ 2019-06-27 15:34:36,951 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_7/sink_port_0 for node AssignVariableOp_7 [ 2019-06-27 15:34:36,951 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d6bf8>, 'op': 'OpOutput', 'name': 'AssignVariableOp_7/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85bbf42c80>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,952 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_7 to AssignVariableOp_7/sink_port_0 [ 2019-06-27 15:34:36,952 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_3/sink_port_0 for node AssignVariableOp_3 [ 2019-06-27 15:34:36,952 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d6598>, 'op': 'OpOutput', 'name': 'AssignVariableOp_3/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85bbf42158>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,952 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_3 to AssignVariableOp_3/sink_port_0 [ 2019-06-27 15:34:36,952 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_2/sink_port_0 for node AssignVariableOp_2 [ 2019-06-27 15:34:36,952 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d8c80>, 'op': 'OpOutput', 'name': 'AssignVariableOp_2/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85d80d0a60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,953 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_2 to AssignVariableOp_2/sink_port_0 [ 2019-06-27 15:34:36,953 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_21/sink_port_0 for node AssignVariableOp_21 [ 2019-06-27 15:34:36,953 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d8598>, 'op': 'OpOutput', 'name': 'AssignVariableOp_21/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d4730>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,953 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_21 to AssignVariableOp_21/sink_port_0 [ 2019-06-27 15:34:36,953 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_8/sink_port_0 for node AssignVariableOp_8 [ 2019-06-27 15:34:36,953 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85d80d0950>, 'op': 'OpOutput', 'name': 'AssignVariableOp_8/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d4bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,953 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_8 to AssignVariableOp_8/sink_port_0 [ 2019-06-27 15:34:36,954 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_11/sink_port_0 for node AssignVariableOp_11 [ 2019-06-27 15:34:36,954 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d41e0>, 'op': 'OpOutput', 'name': 'AssignVariableOp_11/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c2378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,954 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_11 to AssignVariableOp_11/sink_port_0 [ 2019-06-27 15:34:36,955 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_14/sink_port_0 for node AssignVariableOp_14 [ 2019-06-27 15:34:36,955 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d40d0>, 'op': 'OpOutput', 'name': 'AssignVariableOp_14/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c2598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,955 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_14 to AssignVariableOp_14/sink_port_0 [ 2019-06-27 15:34:36,956 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_1/sink_port_0 for node AssignVariableOp_1 [ 2019-06-27 15:34:36,956 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d4ae8>, 'op': 'OpOutput', 'name': 'AssignVariableOp_1/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c2048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,956 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_1 to AssignVariableOp_1/sink_port_0 [ 2019-06-27 15:34:36,956 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_5/sink_port_0 for node AssignVariableOp_5 [ 2019-06-27 15:34:36,957 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d4158>, 'op': 'OpOutput', 'name': 'AssignVariableOp_5/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c2bf8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,957 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_5 to AssignVariableOp_5/sink_port_0 [ 2019-06-27 15:34:36,957 ] [ DEBUG ] [ graph:763 ] Sink: dense/ActivityRegularizer/truediv/sink_port_0 for node dense/ActivityRegularizer/truediv [ 2019-06-27 15:34:36,957 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85dc755b70>, 'op': 'OpOutput', 'name': 'dense/ActivityRegularizer/truediv/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d88c8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,957 ] [ DEBUG ] [ graph:765 ] Add edge from dense/ActivityRegularizer/truediv to dense/ActivityRegularizer/truediv/sink_port_0 [ 2019-06-27 15:34:36,957 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_19/sink_port_0 for node AssignVariableOp_19 [ 2019-06-27 15:34:36,958 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85bbf421e0>, 'op': 'OpOutput', 'name': 'AssignVariableOp_19/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d6b70>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,958 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_19 to AssignVariableOp_19/sink_port_0 [ 2019-06-27 15:34:36,958 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_9/sink_port_0 for node AssignVariableOp_9 [ 2019-06-27 15:34:36,959 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2c97b8>, 'op': 'OpOutput', 'name': 'AssignVariableOp_9/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c0598>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,959 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_9 to AssignVariableOp_9/sink_port_0 [ 2019-06-27 15:34:36,959 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_12/sink_port_0 for node AssignVariableOp_12 [ 2019-06-27 15:34:36,959 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2c0378>, 'op': 'OpOutput', 'name': 'AssignVariableOp_12/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c9ae8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,959 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_12 to AssignVariableOp_12/sink_port_0 [ 2019-06-27 15:34:36,959 ] [ DEBUG ] [ graph:763 ] Sink: dense_1/ActivityRegularizer/truediv/sink_port_0 for node dense_1/ActivityRegularizer/truediv [ 2019-06-27 15:34:36,960 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2c9048>, 'op': 'OpOutput', 'name': 'dense_1/ActivityRegularizer/truediv/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85bbf42f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,960 ] [ DEBUG ] [ graph:765 ] Add edge from dense_1/ActivityRegularizer/truediv to dense_1/ActivityRegularizer/truediv/sink_port_0 [ 2019-06-27 15:34:36,960 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_23/sink_port_0 for node AssignVariableOp_23 [ 2019-06-27 15:34:36,960 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d6840>, 'op': 'OpOutput', 'name': 'AssignVariableOp_23/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85bbf429d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,960 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_23 to AssignVariableOp_23/sink_port_0 [ 2019-06-27 15:34:36,960 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_24/sink_port_0 for node AssignVariableOp_24 [ 2019-06-27 15:34:36,961 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d6048>, 'op': 'OpOutput', 'name': 'AssignVariableOp_24/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c2e18>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,961 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_24 to AssignVariableOp_24/sink_port_0 [ 2019-06-27 15:34:36,961 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_13/sink_port_0 for node AssignVariableOp_13 [ 2019-06-27 15:34:36,961 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85bbf42730>, 'op': 'OpOutput', 'name': 'AssignVariableOp_13/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c2f28>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,961 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_13 to AssignVariableOp_13/sink_port_0 [ 2019-06-27 15:34:36,961 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_6/sink_port_0 for node AssignVariableOp_6 [ 2019-06-27 15:34:36,961 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2c28c8>, 'op': 'OpOutput', 'name': 'AssignVariableOp_6/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2dd7b8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,962 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_6 to AssignVariableOp_6/sink_port_0 [ 2019-06-27 15:34:36,962 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_17/sink_port_0 for node AssignVariableOp_17 [ 2019-06-27 15:34:36,962 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2c2620>, 'op': 'OpOutput', 'name': 'AssignVariableOp_17/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2dd048>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,962 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_17 to AssignVariableOp_17/sink_port_0 [ 2019-06-27 15:34:36,962 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_15/sink_port_0 for node AssignVariableOp_15 [ 2019-06-27 15:34:36,962 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2dd510>, 'op': 'OpOutput', 'name': 'AssignVariableOp_15/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d4ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,963 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_15 to AssignVariableOp_15/sink_port_0 [ 2019-06-27 15:34:36,963 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_16/sink_port_0 for node AssignVariableOp_16 [ 2019-06-27 15:34:36,963 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d4048>, 'op': 'OpOutput', 'name': 'AssignVariableOp_16/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d8840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,963 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_16 to AssignVariableOp_16/sink_port_0 [ 2019-06-27 15:34:36,964 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_25/sink_port_0 for node AssignVariableOp_25 [ 2019-06-27 15:34:36,964 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85bbf42510>, 'op': 'OpOutput', 'name': 'AssignVariableOp_25/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d6378>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,964 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_25 to AssignVariableOp_25/sink_port_0 [ 2019-06-27 15:34:36,964 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_22/sink_port_0 for node AssignVariableOp_22 [ 2019-06-27 15:34:36,964 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2c90d0>, 'op': 'OpOutput', 'name': 'AssignVariableOp_22/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2c9840>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,964 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_22 to AssignVariableOp_22/sink_port_0 [ 2019-06-27 15:34:36,965 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp_4/sink_port_0 for node AssignVariableOp_4 [ 2019-06-27 15:34:36,965 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2d6d08>, 'op': 'OpOutput', 'name': 'AssignVariableOp_4/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85bbf42ea0>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,965 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp_4 to AssignVariableOp_4/sink_port_0 [ 2019-06-27 15:34:36,966 ] [ DEBUG ] [ graph:763 ] Sink: AssignVariableOp/sink_port_0 for node AssignVariableOp [ 2019-06-27 15:34:36,966 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2c2730>, 'op': 'OpOutput', 'name': 'AssignVariableOp/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2dd400>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,966 ] [ DEBUG ] [ graph:765 ] Add edge from AssignVariableOp to AssignVariableOp/sink_port_0 [ 2019-06-27 15:34:36,966 ] [ DEBUG ] [ graph:763 ] Sink: conv1d_4/BiasAdd/sink_port_0 for node conv1d_4/BiasAdd [ 2019-06-27 15:34:36,966 ] [ DEBUG ] [ graph:764 ] {'kind': 'op', 'shape_attrs': ['window', 'output_shape', 'shape', 'stride', 'pad'], 'precision': 'FP32', '_in_ports': {0}, 'infer': . at 0x7f85da2ddf28>, 'op': 'OpOutput', 'name': 'conv1d_4/BiasAdd/sink_port_0', 'value': None, 'in_ports_count': 1, 'IE': [('layer', [('id', . at 0x7f85da2d8488>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_out_ports': set(), 'data_type': None, 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis']} [ 2019-06-27 15:34:36,966 ] [ DEBUG ] [ graph:765 ] Add edge from conv1d_4/BiasAdd to conv1d_4/BiasAdd/sink_port_0 [ INFO ] Possible outputs: 'batch_normalization_v1_1/moving_mean/IsInitialized/VarIsInitializedOp, conv1d_2/kernel/IsInitialized/VarIsInitializedOp, ReadVariableOp_11, save/AssignVariableOp_3, VarIsInitializedOp_7, VarIsInitializedOp_17, VarIsInitializedOp_25, save/AssignVariableOp_18, save/AssignVariableOp_16, batch_normalization_v1_1/beta/IsInitialized/VarIsInitializedOp, conv1d_3/bias/IsInitialized/VarIsInitializedOp, ReadVariableOp_19, batch_normalization_v1/moving_mean/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_6, ReadVariableOp_14, ReadVariableOp_8, ReadVariableOp_16, VarIsInitializedOp_5, dense_2/kernel/IsInitialized/VarIsInitializedOp, conv1d_4/bias/IsInitialized/VarIsInitializedOp, VarIsInitializedOp_10, VarIsInitializedOp_11, save/AssignVariableOp_5, ReadVariableOp_9, VarIsInitializedOp_8, dense_2/bias/IsInitialized/VarIsInitializedOp, VarIsInitializedOp_14, batch_normalization_v1/gamma/IsInitialized/VarIsInitializedOp, batch_normalization_v1_1/moving_variance/IsInitialized/VarIsInitializedOp, VarIsInitializedOp_1, VarIsInitializedOp_20, VarIsInitializedOp_19, VarIsInitializedOp_3, save/AssignVariableOp_12, batch_normalization_v1/moving_variance/IsInitialized/VarIsInitializedOp, ReadVariableOp, ReadVariableOp_23, ReadVariableOp_20, VarIsInitializedOp_24, VarIsInitializedOp_21, conv1d_1/kernel/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_22, save/control_dependency, VarIsInitializedOp_13, conv1d_1/bias/IsInitialized/VarIsInitializedOp, conv1d_2/bias/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_20, batch_normalization_v1_1/gamma/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_2, save/AssignVariableOp_15, ReadVariableOp_24, ReadVariableOp_3, save/AssignVariableOp_14, save/AssignVariableOp_9, conv1d_4/kernel/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_11, conv1d_3/kernel/IsInitialized/VarIsInitializedOp, ReadVariableOp_25, ReadVariableOp_13, VarIsInitializedOp_23, save/AssignVariableOp_10, save/AssignVariableOp, ReadVariableOp_21, save/AssignVariableOp_25, save/AssignVariableOp_4, bottleneck/kernel/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_1, bottleneck/bias/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_24, save/AssignVariableOp_19, save/AssignVariableOp_7, ReadVariableOp_15, save/AssignVariableOp_13, VarIsInitializedOp_6, ReadVariableOp_12, VarIsInitializedOp_22, save/AssignVariableOp_21, ReadVariableOp_2, ReadVariableOp_4, VarIsInitializedOp_9, ReadVariableOp_1, dense_1/kernel/IsInitialized/VarIsInitializedOp, VarIsInitializedOp_2, ReadVariableOp_7, batch_normalization_v1/beta/IsInitialized/VarIsInitializedOp, VarIsInitializedOp_16, ReadVariableOp_17, ReadVariableOp_6, dense/bias/IsInitialized/VarIsInitializedOp, save/AssignVariableOp_23, VarIsInitializedOp, save/AssignVariableOp_8, dense/kernel/IsInitialized/VarIsInitializedOp, VarIsInitializedOp_12, ReadVariableOp_22, ReadVariableOp_10, ReadVariableOp_5, VarIsInitializedOp_4, dense_1/bias/IsInitialized/VarIsInitializedOp, conv1d/kernel/IsInitialized/VarIsInitializedOp, VarIsInitializedOp_15, save/AssignVariableOp_17, ReadVariableOp_18, VarIsInitializedOp_18, conv1d/bias/IsInitialized/VarIsInitializedOp' are not input reachable. True outputs are AssignVariableOp_18, AssignVariableOp_20, dense_2/ActivityRegularizer/truediv, AssignVariableOp_10, AssignVariableOp_7, AssignVariableOp_3, AssignVariableOp_2, AssignVariableOp_21, AssignVariableOp_8, AssignVariableOp_11, AssignVariableOp_14, AssignVariableOp_1, AssignVariableOp_5, dense/ActivityRegularizer/truediv, AssignVariableOp_19, AssignVariableOp_9, AssignVariableOp_12, dense_1/ActivityRegularizer/truediv, AssignVariableOp_23, AssignVariableOp_24, AssignVariableOp_13, AssignVariableOp_6, AssignVariableOp_17, AssignVariableOp_15, AssignVariableOp_16, AssignVariableOp_25, AssignVariableOp_22, AssignVariableOp_4, AssignVariableOp, conv1d_4/BiasAdd [ 2019-06-27 15:34:36,979 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:36,988 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: AssignVariableOp/sink_port_0 AssignVariableOp_1/sink_port_0 AssignVariableOp_10/sink_port_0 AssignVariableOp_11/sink_port_0 AssignVariableOp_12/sink_port_0 AssignVariableOp_13/sink_port_0 AssignVariableOp_14/sink_port_0 AssignVariableOp_15/sink_port_0 AssignVariableOp_16/sink_port_0 AssignVariableOp_17/sink_port_0 AssignVariableOp_18/sink_port_0 AssignVariableOp_19/sink_port_0 AssignVariableOp_2/sink_port_0 AssignVariableOp_20/sink_port_0 AssignVariableOp_21/sink_port_0 AssignVariableOp_22/sink_port_0 AssignVariableOp_23/sink_port_0 AssignVariableOp_24/sink_port_0 AssignVariableOp_25/sink_port_0 AssignVariableOp_3/sink_port_0 AssignVariableOp_4/sink_port_0 AssignVariableOp_5/sink_port_0 AssignVariableOp_6/sink_port_0 AssignVariableOp_7/sink_port_0 AssignVariableOp_8/sink_port_0 AssignVariableOp_9/sink_port_0 conv1d_4/BiasAdd/sink_port_0 dense/ActivityRegularizer/truediv/sink_port_0 dense_1/ActivityRegularizer/truediv/sink_port_0 dense_2/ActivityRegularizer/truediv/sink_port_0 [ 2019-06-27 15:34:37,016 ] [ DEBUG ] [ eliminate:134 ] Removing the following dead nodes: ReadVariableOp ReadVariableOp_1 ReadVariableOp_10 ReadVariableOp_11 ReadVariableOp_12 ReadVariableOp_13 ReadVariableOp_14 ReadVariableOp_15 ReadVariableOp_16 ReadVariableOp_17 ReadVariableOp_18 ReadVariableOp_19 ReadVariableOp_2 ReadVariableOp_20 ReadVariableOp_21 ReadVariableOp_22 ReadVariableOp_23 ReadVariableOp_24 ReadVariableOp_25 ReadVariableOp_3 ReadVariableOp_4 ReadVariableOp_5 ReadVariableOp_6 ReadVariableOp_7 ReadVariableOp_8 ReadVariableOp_9 VarIsInitializedOp VarIsInitializedOp_1 VarIsInitializedOp_10 VarIsInitializedOp_11 VarIsInitializedOp_12 VarIsInitializedOp_13 VarIsInitializedOp_14 VarIsInitializedOp_15 VarIsInitializedOp_16 VarIsInitializedOp_17 VarIsInitializedOp_18 VarIsInitializedOp_19 VarIsInitializedOp_2 VarIsInitializedOp_20 VarIsInitializedOp_21 VarIsInitializedOp_22 VarIsInitializedOp_23 VarIsInitializedOp_24 VarIsInitializedOp_25 VarIsInitializedOp_3 VarIsInitializedOp_4 VarIsInitializedOp_5 VarIsInitializedOp_6 VarIsInitializedOp_7 VarIsInitializedOp_8 VarIsInitializedOp_9 batch_normalization_v1/beta/IsInitialized/VarIsInitializedOp batch_normalization_v1/beta/Read/ReadVariableOp batch_normalization_v1/gamma/IsInitialized/VarIsInitializedOp batch_normalization_v1/gamma/Read/ReadVariableOp batch_normalization_v1/moving_mean/IsInitialized/VarIsInitializedOp batch_normalization_v1/moving_mean/Read/ReadVariableOp batch_normalization_v1/moving_variance/IsInitialized/VarIsInitializedOp batch_normalization_v1/moving_variance/Read/ReadVariableOp batch_normalization_v1_1/beta/IsInitialized/VarIsInitializedOp batch_normalization_v1_1/beta/Read/ReadVariableOp batch_normalization_v1_1/gamma/IsInitialized/VarIsInitializedOp batch_normalization_v1_1/gamma/Read/ReadVariableOp batch_normalization_v1_1/moving_mean/IsInitialized/VarIsInitializedOp batch_normalization_v1_1/moving_mean/Read/ReadVariableOp batch_normalization_v1_1/moving_variance/IsInitialized/VarIsInitializedOp batch_normalization_v1_1/moving_variance/Read/ReadVariableOp bottleneck/bias/IsInitialized/VarIsInitializedOp bottleneck/bias/Read/ReadVariableOp bottleneck/kernel/IsInitialized/VarIsInitializedOp bottleneck/kernel/Read/ReadVariableOp conv1d/bias/IsInitialized/VarIsInitializedOp conv1d/bias/Read/ReadVariableOp conv1d/kernel/IsInitialized/VarIsInitializedOp conv1d/kernel/Read/ReadVariableOp conv1d_1/bias/IsInitialized/VarIsInitializedOp conv1d_1/bias/Read/ReadVariableOp conv1d_1/kernel/IsInitialized/VarIsInitializedOp conv1d_1/kernel/Read/ReadVariableOp conv1d_2/bias/IsInitialized/VarIsInitializedOp conv1d_2/bias/Read/ReadVariableOp conv1d_2/kernel/IsInitialized/VarIsInitializedOp conv1d_2/kernel/Read/ReadVariableOp conv1d_3/bias/IsInitialized/VarIsInitializedOp conv1d_3/bias/Read/ReadVariableOp conv1d_3/kernel/IsInitialized/VarIsInitializedOp conv1d_3/kernel/Read/ReadVariableOp conv1d_4/bias/IsInitialized/VarIsInitializedOp conv1d_4/bias/Read/ReadVariableOp conv1d_4/kernel/IsInitialized/VarIsInitializedOp conv1d_4/kernel/Read/ReadVariableOp dense/bias/IsInitialized/VarIsInitializedOp dense/bias/Read/ReadVariableOp dense/kernel/IsInitialized/VarIsInitializedOp dense/kernel/Read/ReadVariableOp dense_1/bias/IsInitialized/VarIsInitializedOp dense_1/bias/Read/ReadVariableOp dense_1/kernel/IsInitialized/VarIsInitializedOp dense_1/kernel/Read/ReadVariableOp dense_2/bias/IsInitialized/VarIsInitializedOp dense_2/bias/Read/ReadVariableOp dense_2/kernel/IsInitialized/VarIsInitializedOp dense_2/kernel/Read/ReadVariableOp save/AssignVariableOp save/AssignVariableOp_1 save/AssignVariableOp_10 save/AssignVariableOp_11 save/AssignVariableOp_12 save/AssignVariableOp_13 save/AssignVariableOp_14 save/AssignVariableOp_15 save/AssignVariableOp_16 save/AssignVariableOp_17 save/AssignVariableOp_18 save/AssignVariableOp_19 save/AssignVariableOp_2 save/AssignVariableOp_20 save/AssignVariableOp_21 save/AssignVariableOp_22 save/AssignVariableOp_23 save/AssignVariableOp_24 save/AssignVariableOp_25 save/AssignVariableOp_3 save/AssignVariableOp_4 save/AssignVariableOp_5 save/AssignVariableOp_6 save/AssignVariableOp_7 save/AssignVariableOp_8 save/AssignVariableOp_9 save/Const save/Identity save/Identity_1 save/Identity_10 save/Identity_11 save/Identity_12 save/Identity_13 save/Identity_14 save/Identity_15 save/Identity_16 save/Identity_17 save/Identity_18 save/Identity_19 save/Identity_2 save/Identity_20 save/Identity_21 save/Identity_22 save/Identity_23 save/Identity_24 save/Identity_25 save/Identity_3 save/Identity_4 save/Identity_5 save/Identity_6 save/Identity_7 save/Identity_8 save/Identity_9 save/RestoreV2 save/RestoreV2/shape_and_slices save/RestoreV2/tensor_names save/SaveV2 save/SaveV2/shape_and_slices save/SaveV2/tensor_names save/control_dependency save/filename save/filename/input [ 2019-06-27 15:34:37,029 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-06-27 15:34:37,042 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,045 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,055 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,056 ] [ DEBUG ] [ mvn:35 ] Enabled MVN replacement [ 2019-06-27 15:34:37,064 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,072 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,089 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,098 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIConstValueOverride' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIConstValueOverride' [ 2019-06-27 15:34:37,100 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLOV3' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLOV3' [ 2019-06-27 15:34:37,102 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,110 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,110 ] [ DEBUG ] [ mvn_unrolled:34 ] Enabled MVN replacement [ 2019-06-27 15:34:37,129 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,140 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,149 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,158 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,177 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'SSDToolboxDetectionOutput' doesn't exist [ INFO ] Failed to find custom replacement description with id 'SSDToolboxDetectionOutput' [ 2019-06-27 15:34:37,180 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,189 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,198 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,206 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,225 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,228 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,237 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,245 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,254 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,272 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,282 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,294 ] [ DEBUG ] [ FlattenToReshape:74 ] The pattern does not correspond to flatten. The second reshape dimension is not -1. It is 375 [ 2019-06-27 15:34:37,295 ] [ DEBUG ] [ FlattenToReshape:91 ] The node "flatten/Reshape" is actually a Flatten node [ 2019-06-27 15:34:37,297 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIOutputReplacement' [ 2019-06-27 15:34:37,300 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIPreprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessorReplacement' [ 2019-06-27 15:34:37,302 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIProposalReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIProposalReplacement' [ 2019-06-27 15:34:37,311 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,325 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement' [ 2019-06-27 15:34:37,328 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,337 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' [ 2019-06-27 15:34:37,339 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' [ 2019-06-27 15:34:37,342 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIPSROIPoolingReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIPSROIPoolingReplacement' [ 2019-06-27 15:34:37,344 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPISSDPostprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPISSDPostprocessorReplacement' [ 2019-06-27 15:34:37,346 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,372 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLO' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLO' [ 2019-06-27 15:34:37,374 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,388 ] [ DEBUG ] [ replacement:105 ] Created edge from dense_1/ActivityRegularizer/truediv/mul_ to dense_1/ActivityRegularizer/truediv/sink_port_0 with attrs: {'fw_tensor_debug_info': [('dense_1/ActivityRegularizer/truediv', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'permutation'], 'in': 0, 'data_attrs': ['fw_tensor_debug_info'], 'out': 0} [ 2019-06-27 15:34:37,388 ] [ DEBUG ] [ replacement:221 ] Removing nodes: ['dense_1/ActivityRegularizer/truediv'] [ 2019-06-27 15:34:37,394 ] [ DEBUG ] [ replacement:105 ] Created edge from dense_2/ActivityRegularizer/truediv/mul_ to dense_2/ActivityRegularizer/truediv/sink_port_0 with attrs: {'fw_tensor_debug_info': [('dense_2/ActivityRegularizer/truediv', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'permutation'], 'in': 0, 'data_attrs': ['fw_tensor_debug_info'], 'out': 0} [ 2019-06-27 15:34:37,394 ] [ DEBUG ] [ replacement:221 ] Removing nodes: ['dense_2/ActivityRegularizer/truediv'] [ 2019-06-27 15:34:37,399 ] [ DEBUG ] [ replacement:105 ] Created edge from dense/ActivityRegularizer/truediv/mul_ to dense/ActivityRegularizer/truediv/sink_port_0 with attrs: {'fw_tensor_debug_info': [('dense/ActivityRegularizer/truediv', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'permutation'], 'in': 0, 'data_attrs': ['fw_tensor_debug_info'], 'out': 0} [ 2019-06-27 15:34:37,399 ] [ DEBUG ] [ replacement:221 ] Removing nodes: ['dense/ActivityRegularizer/truediv'] [ 2019-06-27 15:34:37,402 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,419 ] [ DEBUG ] [ replacement:105 ] Created edge from reshape/Reshape/shape/Concat_ to reshape/Reshape with attrs: {'fw_tensor_debug_info': [('reshape/Reshape/shape', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'in': 1, 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False, 'out': 0} [ 2019-06-27 15:34:37,419 ] [ DEBUG ] [ replacement:221 ] Removing nodes: ['reshape/Reshape/shape'] [ 2019-06-27 15:34:37,421 ] [ DEBUG ] [ replacement:221 ] Removing nodes: ['flatten/Reshape/shape'] [ 2019-06-27 15:34:37,424 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ConvFlatten' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ConvFlatten' [ 2019-06-27 15:34:37,432 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,442 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,451 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,458 ] [ DEBUG ] [ replacement:105 ] Created edge from batch_normalization_v1/batchnorm/sub/add_ to batch_normalization_v1/batchnorm/add_1 with attrs: {'fw_tensor_debug_info': [('batch_normalization_v1/batchnorm/sub', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'in': 1, 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False, 'out': 0} [ 2019-06-27 15:34:37,458 ] [ DEBUG ] [ replacement:221 ] Removing nodes: ['batch_normalization_v1/batchnorm/sub'] [ 2019-06-27 15:34:37,459 ] [ DEBUG ] [ replacement:105 ] Created edge from batch_normalization_v1_1/batchnorm/sub/add_ to batch_normalization_v1_1/batchnorm/add_1 with attrs: {'fw_tensor_debug_info': [('batch_normalization_v1_1/batchnorm/sub', 0)], 'out_attrs': ['out', 'permutation'], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'in': 1, 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False, 'out': 0} [ 2019-06-27 15:34:37,459 ] [ DEBUG ] [ replacement:221 ] Removing nodes: ['batch_normalization_v1_1/batchnorm/sub'] [ 2019-06-27 15:34:37,462 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,480 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,495 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'RetinaNetFilteredDetectionsReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'RetinaNetFilteredDetectionsReplacement' [ 2019-06-27 15:34:37,497 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,507 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,509 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:37,570 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: AssignVariableOp/sink_port_0 AssignVariableOp_1/sink_port_0 AssignVariableOp_10/sink_port_0 AssignVariableOp_11/sink_port_0 AssignVariableOp_12/sink_port_0 AssignVariableOp_13/sink_port_0 AssignVariableOp_14/sink_port_0 AssignVariableOp_15/sink_port_0 AssignVariableOp_16/sink_port_0 AssignVariableOp_17/sink_port_0 AssignVariableOp_18/sink_port_0 AssignVariableOp_19/sink_port_0 AssignVariableOp_2/sink_port_0 AssignVariableOp_20/sink_port_0 AssignVariableOp_21/sink_port_0 AssignVariableOp_22/sink_port_0 AssignVariableOp_23/sink_port_0 AssignVariableOp_24/sink_port_0 AssignVariableOp_25/sink_port_0 AssignVariableOp_3/sink_port_0 AssignVariableOp_4/sink_port_0 AssignVariableOp_5/sink_port_0 AssignVariableOp_6/sink_port_0 AssignVariableOp_7/sink_port_0 AssignVariableOp_8/sink_port_0 AssignVariableOp_9/sink_port_0 conv1d_4/BiasAdd/sink_port_0 dense/ActivityRegularizer/truediv/sink_port_0 dense_1/ActivityRegularizer/truediv/sink_port_0 dense_2/ActivityRegularizer/truediv/sink_port_0 [ 2019-06-27 15:34:37,774 ] [ DEBUG ] [ eliminate:134 ] Removing the following dead nodes: 457 457/Output_0/Data_ flatten/Reshape/shape/1 flatten/Reshape/shape/1/Output_0/Data_ flatten/Reshape/shape/Concat_ flatten/Reshape/shape/ExpandDims_ flatten/Reshape/shape/ExpandDims_/Output_0/Data_ flatten/Reshape/shape/ExpandDims_459 flatten/Reshape/shape/ExpandDims_459/Output_0/Data_ flatten/Shape flatten/Shape/Output_0/Data_ flatten/strided_slice flatten/strided_slice/Output_0/Data_ flatten/strided_slice/stack flatten/strided_slice/stack/Output_0/Data_ flatten/strided_slice/stack_1 flatten/strided_slice/stack_1/Output_0/Data_ flatten/strided_slice/stack_2 flatten/strided_slice/stack_2/Output_0/Data_ [ 2019-06-27 15:34:37,954 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,954 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,955 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,956 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,957 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,958 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,959 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,960 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,961 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,962 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,963 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,964 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,967 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,967 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,967 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,967 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,967 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,968 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,968 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,968 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,968 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,968 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,968 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,968 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,969 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,970 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,970 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,970 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,970 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,970 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,970 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,970 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,971 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,972 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,973 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,973 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,973 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,973 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,973 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,973 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,973 ] [ DEBUG ] [ class_registration:135 ] Replacer will be run before [ 2019-06-27 15:34:37,974 ] [ DEBUG ] [ class_registration:138 ] Replacer will be run after [ 2019-06-27 15:34:37,974 ] [ DEBUG ] [ class_registration:164 ] Run replacer [ 2019-06-27 15:34:38,007 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,008 ] [ DEBUG ] [ infer:128 ] Partial infer for batch_normalization_v1_1/batchnorm/add/y [ 2019-06-27 15:34:38,009 ] [ DEBUG ] [ infer:129 ] Op: Const [ 2019-06-27 15:34:38,009 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,009 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,011 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [], value = 0.001 [ 2019-06-27 15:34:38,011 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,011 ] [ DEBUG ] [ infer:128 ] Partial infer for batch_normalization_v1_1/gamma [ 2019-06-27 15:34:38,011 ] [ DEBUG ] [ infer:129 ] Op: Const [ 2019-06-27 15:34:38,011 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,012 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,012 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [16], value = [0.96854895 0.96840775 0.9430631 0.9197995 0.96934396 0.96871054 0.96560276 0.9557812 0.95336... [ 2019-06-27 15:34:38,012 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,012 ] [ DEBUG ] [ infer:128 ] Partial infer for batch_normalization_v1_1/batchnorm/mul/ReadVariableOp [ 2019-06-27 15:34:38,012 ] [ DEBUG ] [ infer:129 ] Op: Identity [ 2019-06-27 15:34:38,013 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,013 ] [ DEBUG ] [ infer:34 ] input[0]: shape = [16], value = [0.96854895 0.96840775 0.9430631 0.9197995 0.96934396 0.96871054 0.96560276 0.9557812 0.95336... [ 2019-06-27 15:34:38,013 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,013 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [16], value = [0.96854895 0.96840775 0.9430631 0.9197995 0.96934396 0.96871054 0.96560276 0.9557812 0.95336... [ 2019-06-27 15:34:38,014 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,014 ] [ DEBUG ] [ infer:128 ] Partial infer for Placeholder_24 [ 2019-06-27 15:34:38,014 ] [ DEBUG ] [ infer:129 ] Op: Placeholder [ 2019-06-27 15:34:38,014 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,014 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,014 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [ 3 16 3], value = [ 2019-06-27 15:34:38,015 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,015 ] [ DEBUG ] [ infer:128 ] Partial infer for dense_2/kernel [ 2019-06-27 15:34:38,015 ] [ DEBUG ] [ infer:129 ] Op: Const [ 2019-06-27 15:34:38,015 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,015 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,016 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [ 128 6000], value = [[-0.00715217 -0.01841603 0.01451438 ... -0.02228373 0.00798431 0.00096879] [-0.00136144 -0... [ 2019-06-27 15:34:38,016 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,016 ] [ DEBUG ] [ infer:128 ] Partial infer for dense_2/MatMul/ReadVariableOp [ 2019-06-27 15:34:38,016 ] [ DEBUG ] [ infer:129 ] Op: Identity [ 2019-06-27 15:34:38,016 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,017 ] [ DEBUG ] [ infer:34 ] input[0]: shape = [ 128 6000], value = [[-0.00715217 -0.01841603 0.01451438 ... -0.02228373 0.00798431 0.00096879] [-0.00136144 -0... [ 2019-06-27 15:34:38,017 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,017 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [ 128 6000], value = [[-0.00715217 -0.01841603 0.01451438 ... -0.02228373 0.00798431 0.00096879] [-0.00136144 -0... [ 2019-06-27 15:34:38,018 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,018 ] [ DEBUG ] [ infer:128 ] Partial infer for up_sampling1d/concat/axis [ 2019-06-27 15:34:38,018 ] [ DEBUG ] [ infer:129 ] Op: Const [ 2019-06-27 15:34:38,018 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,018 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,018 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [], value = 1 [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:128 ] Partial infer for Placeholder_8 [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:129 ] Op: Placeholder [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:140 ] Inputs: [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:142 ] Outputs: [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:34 ] output[0]: shape = [16], value = [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:127 ] -------------------- [ 2019-06-27 15:34:38,019 ] [ DEBUG ] [ infer:128 ] Partial infer for AssignVariableOp_8 [ 2019-06-27 15:34:38,020 ] [ DEBUG ] [ infer:129 ] Op: AssignVariableOp [ INFO ] Called "tf_native_tf_node_infer" for node "AssignVariableOp_8" [ 2019-06-27 15:34:38,021 ] [ DEBUG ] [ tf:222 ] Added placeholder with name 'batch_normalization_v1_1/gamma_port_0_ie_placeholder' [ 2019-06-27 15:34:38,021 ] [ DEBUG ] [ tf:222 ] Added placeholder with name 'Placeholder_8_port_0_ie_placeholder' [ 2019-06-27 15:34:38,022 ] [ DEBUG ] [ tf:235 ] update_input_in_pbs: replace input 'batch_normalization_v1_1/gamma' with input 'batch_normalization_v1_1/gamma_port_0_ie_placeholder' [ 2019-06-27 15:34:38,022 ] [ DEBUG ] [ tf:243 ] Replacing input '0' of the node 'AssignVariableOp_8' with placeholder 'batch_normalization_v1_1/gamma_port_0_ie_placeholder' [ 2019-06-27 15:34:38,022 ] [ DEBUG ] [ tf:235 ] update_input_in_pbs: replace input 'Placeholder_8' with input 'Placeholder_8_port_0_ie_placeholder' [ 2019-06-27 15:34:38,022 ] [ DEBUG ] [ tf:243 ] Replacing input '1' of the node 'AssignVariableOp_8' with placeholder 'Placeholder_8_port_0_ie_placeholder' [ ERROR ] Cannot infer shapes or values for node "AssignVariableOp_8". [ ERROR ] Input 0 of node AssignVariableOp_8 was passed float from batch_normalization_v1_1/gamma_port_0_ie_placeholder:0 incompatible with expected resource. [ ERROR ] [ ERROR ] It can happen due to bug in custom shape infer function . [ 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). [ 2019-06-27 15:34:38,025 ] [ DEBUG ] [ infer:194 ] Node "AssignVariableOp_8" attributes: {'kind': 'op', 'precision': 'FP32', 'is_undead': False, '_in_ports': {0, 1}, 'infer': , 'is_const_producer': False, 'op': 'AssignVariableOp', 'name': 'AssignVariableOp_8', 'pb': name: "AssignVariableOp_8" op: "AssignVariableOp" input: "batch_normalization_v1_1/gamma_port_0_ie_placeholder" input: "Placeholder_8_port_0_ie_placeholder" attr { key: "dtype" value { type: DT_FLOAT } } , '_out_ports': {0}, 'is_output_reachable': True, 'is_partial_inferred': False} [ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID" (): Stopped shape/value propagation at "AssignVariableOp_8" node. For more information please refer to Model Optimizer FAQ (/deployment_tools/documentation/docs/MO_FAQ.html), question #38. [ 2019-06-27 15:34:38,026 ] [ DEBUG ] [ main:318 ] Traceback (most recent call last): File "/usr/lib/python3.5/site-packages/tensorflow/python/framework/importer.py", line 418, in import_graph_def graph._c_graph, serialized, options) # pylint: disable=protected-access tensorflow.python.framework.errors_impl.InvalidArgumentError: Input 0 of node AssignVariableOp_8 was passed float from batch_normalization_v1_1/gamma_port_0_ie_placeholder:0 incompatible with expected resource. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 130, in partial_infer node.infer(node) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/front/tf/partial_infer/tf.py", line 60, in tf_native_tf_node_infer tf_subgraph_infer(tmp_node) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/front/tf/partial_infer/tf.py", line 135, in tf_subgraph_infer all_constants, output_tensors = get_subgraph_output_tensors(node) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/front/tf/partial_infer/tf.py", line 115, in get_subgraph_output_tensors tf.import_graph_def(graph_def, name='') File "/usr/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py", line 488, in new_func return func(*args, **kwargs) File "/usr/lib/python3.5/site-packages/tensorflow/python/framework/importer.py", line 422, in import_graph_def raise ValueError(str(e)) ValueError: Input 0 of node AssignVariableOp_8 was passed float from batch_normalization_v1_1/gamma_port_0_ie_placeholder:0 incompatible with expected resource. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 167, in apply_replacements replacer.find_and_replace_pattern(graph) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/extensions/middle/PartialInfer.py", line 31, in find_and_replace_pattern partial_infer(graph) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 196, in partial_infer refer_to_faq_msg(38)) from err mo.utils.error.Error: Stopped shape/value propagation at "AssignVariableOp_8" node. For more information please refer to Model Optimizer FAQ (/deployment_tools/documentation/docs/MO_FAQ.html), question #38. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/main.py", line 312, in main return driver(argv) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/main.py", line 263, in driver is_binary=not argv.input_model_is_text) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 128, in tf2nx class_registration.apply_replacements(graph, class_registration.ClassType.MIDDLE_REPLACER) File "/opt/intel/openvino_2019.1.144/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 184, in apply_replacements )) from err mo.utils.error.Error: Exception occurred during running replacer "REPLACEMENT_ID" (): Stopped shape/value propagation at "AssignVariableOp_8" node. For more information please refer to Model Optimizer FAQ (/deployment_tools/documentation/docs/MO_FAQ.html), question #38.