[setupvars.sh] OpenVINO environment initialized ibox@ibox-desktop:~$ python3 mo.py --input_model /home/ibox/Desktop/BusParkingDetection/frozen_mode/frozen_model.pb --output_dir /home/ibox/Desktop/BusParkingDetection/ --input_shape [2,60,24,3] --input Placeholder python3: can't open file 'mo.py': [Errno 2] No such file or directory ibox@ibox-desktop:~$ cd /opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer ibox@ibox-desktop:/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer$ python3 mo.py --input_model /home/ibox/Desktop/BusParkingDetection/frozen_mode/frozen_model.pb --output_dir /home/ibox/Desktop/BusParkingDetection/ --input_shape [2,60,24,3] --input Placeholder Model Optimizer arguments: Common parameters: - Path to the Input Model: /home/ibox/Desktop/BusParkingDetection/frozen_mode/frozen_model.pb - Path for generated IR: /home/ibox/Desktop/BusParkingDetection/ - IR output name: frozen_model - Log level: ERROR - Batch: Not specified, inherited from the model - Input layers: Placeholder - Output layers: Not specified, inherited from the model - Input shapes: [2,60,24,3] - 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: 2020.1.0-61-gd349c3ba4a /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) [ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID" (): --input parameter was provided. Other inputs are needed for output computation. Provide more inputs or choose another place to cut the net. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #27. ibox@ibox-desktop:/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer$ python3 mo.py --input_model /home/ibox/Desktop/BusParkingDetection/frozen_mode/frozen_model.pb --output_dir /home/ibox/Desktop/BusParkingDetection/ --input_shape [2,60,24,3] --input Placeholder --log_level=DEBUG [ 2020-02-19 18:42:21,413 ] [ DEBUG ] [ main:117 ] Namespace(batch=None, blobs_as_inputs=True, caffe_parser_path='mo/front/caffe/proto', counts=None, data_type='float', disable_fusing=None, disable_gfusing=None, disable_nhwc_to_nchw=False, disable_omitting_optional=False, disable_resnet_optimization=False, enable_concat_optimization=False, enable_flattening_nested_params=False, enable_ssd_gluoncv=False, extensions='/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, generate_deprecated_IR_V2=False, generate_deprecated_IR_V7=False, generate_experimental_IR_V10=True, input='Placeholder', input_checkpoint=None, input_meta_graph=None, input_model='/home/ibox/Desktop/BusParkingDetection/frozen_mode/frozen_model.pb', input_model_is_text=False, input_proto=None, input_shape='[2,60,24,3]', input_symbol=None, k='extensions/front/caffe/CustomLayersMapping.xml', keep_quantize_ops_in_IR=True, keep_shape_ops=False, legacy_mxnet_model=False, log_level='DEBUG', mean_file=None, mean_file_offsets=None, mean_values=(), model_name=None, move_to_preprocess=False, nd_prefix_name=None, output=None, output_dir='/home/ibox/Desktop/BusParkingDetection/', pretrained_model_name=None, progress=False, remove_memory=False, remove_output_softmax=False, reverse_input_channels=False, save_params_from_nd=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, stream_output=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, transformations_config=None) [ 2020-02-19 18:42:21,413 ] [ DEBUG ] [ main:118 ] Model Optimizer started [ 2020-02-19 18:42:21,413 ] [ DEBUG ] [ main:133 ] Output model name would be frozen_model{.xml, .bin} Model Optimizer arguments: Common parameters: - Path to the Input Model: /home/ibox/Desktop/BusParkingDetection/frozen_mode/frozen_model.pb - Path for generated IR: /home/ibox/Desktop/BusParkingDetection/ - IR output name: frozen_model - Log level: DEBUG - Batch: Not specified, inherited from the model - Input layers: Placeholder - Output layers: Not specified, inherited from the model - Input shapes: [2,60,24,3] - 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: 2020.1.0-61-gd349c3ba4a /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /usr/local/lib/python3.6/dist-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) [ 2020-02-19 18:42:22,324 ] [ DEBUG ] [ main:211 ] Placeholder shapes : {'Placeholder': array([ 2, 60, 24, 3])} [ INFO ] Importing extensions from: /opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Const [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AttributedGather [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Parameter [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIterator [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Transpose [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Clamp [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LeakyReLU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Concat [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Convolution [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Crop [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reshape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SoftMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Cast [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Activation [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Broadcast [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ConstantOfShape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Deconvolution [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DeformableConvolution [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Eltwise [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: EltwiseN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: EltwiseNin1 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExpandDims [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Fill [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Flatten [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FlattenONNX [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GroupNorm [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AttributedLRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LstmNonLinearity [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Memory [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MemoryOffset [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Permute [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AttributedPower [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Result [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ROIPooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ScaleShift [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ShapeOf [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Squeeze [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StridedSlice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AttributedTile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Unsqueeze [ INFO ] New subclass: [ 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. [ 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: 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. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] Importing extensions from: /opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/extensions [ 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. [ 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. [ 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. [ 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. [ 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. [ 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. [ 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: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DetectionOutput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Enter [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Exit [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: RNN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GRU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GRUCell [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GatherNd [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GatherTree [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Log [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MatMul [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gemm [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FullyConnected [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NextIteration [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: RNNCell [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reverse [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayGatherV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayReadV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayScatterV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArraySizeV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayWriteV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorInput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorOutput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorCondition [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorBackEdge [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Accum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AdaptiveAvgPooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assert [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Axpy [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Binarization [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: _contrib_box_nms [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Bucketize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ConstantFill [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: copy [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Correlation [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CTCGreedyDecoder [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DataAugmentation [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthToSpace [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronDetectionOutput [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Exp [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FakeQuantize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: HardSigmoid [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Identity [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: InstanceNormalization [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Interp [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Interpolate [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTMCell [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTMSequence [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Merge [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MVN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MXRepeat [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MXSlice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NonMaxSuppression [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NonZero [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Normalize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NormalizeL2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: OneHot [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: pnorm [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PowerFile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PredictionHeatmap [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PReLU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PriorBox [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PriorBoxClustered [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronPriorGridGenerator [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Proposal [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronGenerateProposalsSingleImage [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PSROIPooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Range [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rank [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: RegionYolo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReorgYolo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Resample [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Resize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseSequence [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronROIFeatureExtractor [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Select [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ShuffleChannel [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SimplerNMS [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Size [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SpaceToDepth [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseFillEmptyRows [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseReshape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseSegmentMean [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseSegmentSqrtN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseSegmentSum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseToDense [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalSparseWeightedSum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SpatialTransformer [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Splice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StopGradient [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SwapAxis [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Switch [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TopK [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExperimentalDetectronTopKROIs [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Unique [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Upsample [ 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: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AttributedGather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Interpolate [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AttributedLRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Log1p [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AttributedPower [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FakeQuantWithMinMaxVars [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Div [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: EltwiseN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rank [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ImageScaler [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: InstanceNormalization [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reciprocal [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sub [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Softsign [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: UnknownOp [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SquaredDifference [ 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: [ 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: Pooling [ 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 ] Registered a new subclass with key: ArgMax [ 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: [ 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: BatchMatMul [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BatchMatMulV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CTCGreedyDecoder [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Cast [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FakeQuantWithMinMaxVars [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GatherTree [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LoopCond [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayGatherV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Abs [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Elu [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Erf [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Exp [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LeakyRelu [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LogicalNot [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Relu6 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Relu [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sigmoid [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Cos [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Cosh [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sin [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sinh [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tan [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tanh [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Bucketize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Concat [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Const [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv2D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthwiseConv2dNative [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv3D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CropAndResize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv2DBackpropInput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv3DBackpropInputV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthToSpace [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Add [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AddV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AddN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BiasAdd [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Mul [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sub [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: RealDiv [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SquaredDifference [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sqrt [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rsqrt [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Square [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Neg [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ZerosLike [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Maximum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Minimum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pow [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LogicalAnd [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LogicalOr [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Equal [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LessEqual [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Less [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Greater [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GreaterEqual [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NotEqual [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FloorMod [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExpandDims [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExtractImagePatches [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FIFOQueueV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Fill [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResourceGather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GatherV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Identity [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReadVariableOp [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StopGradient [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MatMul [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NextIteration [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NonMaxSuppressionV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NonMaxSuppressionV4 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NonMaxSuppressionV5 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: OneHot [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PadV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MirrorPad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Placeholder [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PlaceholderWithDefault [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AvgPool [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MaxPool [ 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: All [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Max [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Mean [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Prod [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rank [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reshape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Shape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Size [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Squeeze [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResizeBilinear [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResizeNearestNeighbor [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseSequence [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Select [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sign [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Softmax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SpaceToDepth [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseFillEmptyRows [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseSegmentMean [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseSegmentSqrtN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseSegmentSum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SparseToDense [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SplitV [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Unpack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Split [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TopK [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TopKV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Transpose [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Unique [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Variable [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: VariableV2 [ 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. [ 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. [ 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: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CropAndResize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LogSoftmax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Size [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assign [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AssignSub [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AssignAdd [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assert [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FakeConst [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: swish_f32 [ 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. [ 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. [ 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 ] 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. [ 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. [ 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. [ 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 ] 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: [ 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: [ 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. [ 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: [ 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: ArgMax [ 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 ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ 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: GroupNorm [ 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 ] 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 ] 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 ] 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. [ 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 ] 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 ] 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 ] 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 ] 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: [ 2020-02-19 18:42:22,946 ] [ DEBUG ] [ class_registration:48 ] All replacers has unique idxs. [ 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. [ 2020-02-19 18:42:22,989 ] [ DEBUG ] [ tf:72 ] Number of nodes in graph_def: 1569 [ 2020-02-19 18:42:22,989 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StridedSlice to extractors with custom extractor class . [ 2020-02-19 18:42:22,989 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BatchMatMul to extractors with custom extractor class . [ 2020-02-19 18:42:22,989 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BatchMatMulV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BlockLSTM to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CTCGreedyDecoder to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cast to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FakeQuantWithMinMaxVars to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherTree to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LoopCond to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayV3 to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayGatherV3 to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Abs to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Elu to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Erf to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Exp to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LeakyRelu to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalNot to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Relu6 to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Relu to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sigmoid to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cos to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cosh to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sin to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sinh to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tan to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tanh to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ArgMax to extractors with custom extractor class . [ 2020-02-19 18:42:22,990 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Bucketize to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Concat to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Const to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2D to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthwiseConv2dNative to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3D to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CropAndResize to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2DBackpropInput to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthToSpace to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Add to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddN to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BiasAdd to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Mul to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sub to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry RealDiv to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SquaredDifference to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sqrt to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rsqrt to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Square to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Neg to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ZerosLike to extractors with custom extractor class . [ 2020-02-19 18:42:22,991 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Maximum to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Minimum to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pow to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalAnd to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalOr to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Equal to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LessEqual to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Less to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Greater to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GreaterEqual to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NotEqual to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FloorMod to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExpandDims to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExtractImagePatches to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FIFOQueueV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Fill to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Gather to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResourceGather to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Identity to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReadVariableOp to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StopGradient to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LRN to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MatMul to extractors with custom extractor class . [ 2020-02-19 18:42:22,992 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NextIteration to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NonMaxSuppressionV3 to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NonMaxSuppressionV4 to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NonMaxSuppressionV5 to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry OneHot to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pad to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PadV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MirrorPad to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Placeholder to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PlaceholderWithDefault to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool3D to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool3D to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry All to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Max to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Mean to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Prod to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sum to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rank to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Reshape to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Shape to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Size to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Squeeze to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeBilinear to extractors with custom extractor class . [ 2020-02-19 18:42:22,993 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeNearestNeighbor to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseSequence to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Select to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sign to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Slice to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Softmax to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SpaceToDepth to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseFillEmptyRows to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseSegmentMean to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseSegmentSqrtN to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseSegmentSum to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseToDense to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SplitV to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Unpack to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Split to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tile to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TopK to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TopKV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Transpose to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Unique to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Variable to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry VariableV2 to extractors with custom extractor class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedGather to extractors with custom op class . [ 2020-02-19 18:42:22,994 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Parameter to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIterator to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Clamp to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Convolution to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Crop to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Activation to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Broadcast to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantOfShape to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Deconvolution to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DeformableConvolution to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Eltwise to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseN to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseNin1 to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Flatten to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FlattenONNX to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GroupNorm to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedLRN to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LstmNonLinearity to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Memory to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MemoryOffset to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Permute to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Pooling to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedPower to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Result to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ROIPooling to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ScaleShift to extractors with custom op class . [ 2020-02-19 18:42:22,995 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShapeOf to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedTile to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Unsqueeze to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DetectionOutput to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Enter to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Exit to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNN to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRU to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRUCell to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GatherNd to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTM to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Log to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Gemm to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FullyConnected to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNNCell to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Reverse to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayReadV3 to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayScatterV3 to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArraySizeV3 to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayWriteV3 to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorInput to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorOutput to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorCondition to extractors with custom op class . [ 2020-02-19 18:42:22,996 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorBackEdge to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Accum to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AdaptiveAvgPooling to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Assert to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Axpy to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Binarization to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry BN to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry _contrib_box_nms to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantFill to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry copy to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Correlation to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DataAugmentation to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronDetectionOutput to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FakeQuantize to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRN to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry HardSigmoid to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry InstanceNormalization to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interp to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interpolate to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMCell to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMSequence to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Merge to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MVN to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MXRepeat to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MXSlice to extractors with custom op class . [ 2020-02-19 18:42:22,997 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry NonMaxSuppression to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry NonZero to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Normalize to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry NormalizeL2 to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry pnorm to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PowerFile to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PredictionHeatmap to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PReLU to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBox to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBoxClustered to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronPriorGridGenerator to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Proposal to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronGenerateProposalsSingleImage to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PSROIPooling to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Range to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RegionYolo to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ReorgYolo to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Resample to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Resize to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronROIFeatureExtractor to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShuffleChannel to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SimplerNMS to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SparseReshape to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalSparseWeightedSum to extractors with custom op class . [ 2020-02-19 18:42:22,998 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SpatialTransformer to extractors with custom op class . [ 2020-02-19 18:42:22,999 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Splice to extractors with custom op class . [ 2020-02-19 18:42:22,999 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SwapAxis to extractors with custom op class . [ 2020-02-19 18:42:22,999 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Switch to extractors with custom op class . [ 2020-02-19 18:42:22,999 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronTopKROIs to extractors with custom op class . [ 2020-02-19 18:42:22,999 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Upsample to extractors with custom op class . [ 2020-02-19 18:42:23,072 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2020-02-19 18:42:23,072 ] [ DEBUG ] [ utils:78 ] value = [120000], shape = [], res = [120000], res.shape = (1,) [ 2020-02-19 18:42:23,073 ] [ DEBUG ] [ utils:78 ] value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,) [ 2020-02-19 18:42:23,074 ] [ DEBUG ] [ utils:78 ] value = [2000], shape = [], res = [2000], res.shape = (1,) [ 2020-02-19 18:42:23,074 ] [ DEBUG ] [ utils:78 ] value = [0.8999999761581421], shape = [], res = [0.9], res.shape = (1,) [ 2020-02-19 18:42:23,077 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,077 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,079 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,081 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,083 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,085 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,086 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ 2020-02-19 18:42:23,088 ] [ DEBUG ] [ utils:78 ] value = [0.009999999776482582], shape = [], res = [0.01], res.shape = (1,) [ 2020-02-19 18:42:23,089 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,089 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,091 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,093 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,094 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,096 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,098 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,099 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,101 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,103 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,104 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,106 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,108 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,109 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,111 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,113 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ 2020-02-19 18:42:23,114 ] [ DEBUG ] [ utils:78 ] value = [0.009999999776482582], shape = [], res = [0.01], res.shape = (1,) [ 2020-02-19 18:42:23,115 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,116 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,118 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,120 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,120 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,122 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,124 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,125 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,127 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,129 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,129 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,132 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,134 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,135 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,137 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,138 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ 2020-02-19 18:42:23,140 ] [ DEBUG ] [ utils:78 ] value = [0.009999999776482582], shape = [], res = [0.01], res.shape = (1,) [ 2020-02-19 18:42:23,141 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,141 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,143 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,145 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,146 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,148 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,150 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,150 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,152 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,154 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,155 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,157 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,159 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,161 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,162 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,164 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ 2020-02-19 18:42:23,165 ] [ DEBUG ] [ utils:78 ] value = [0.009999999776482582], shape = [], res = [0.01], res.shape = (1,) [ 2020-02-19 18:42:23,167 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,167 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,169 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,172 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,173 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,175 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,177 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ 2020-02-19 18:42:23,178 ] [ DEBUG ] [ utils:78 ] value = [0.009999999776482582], shape = [], res = [0.01], res.shape = (1,) [ 2020-02-19 18:42:23,179 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,180 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,182 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,244 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2020-02-19 18:42:23,245 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,245 ] [ DEBUG ] [ utils:78 ] value = [0.10000000149011612], shape = [], res = [0.1], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,249 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,251 ] [ DEBUG ] [ utils:78 ] value = [2], shape = [], res = [2], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,255 ] [ DEBUG ] [ utils:78 ] value = [1.0], shape = [], res = [1.], res.shape = (1,) [ 2020-02-19 18:42:23,257 ] [ DEBUG ] [ utils:78 ] value = [-1], shape = [], res = [-1], res.shape = (1,) [ 2020-02-19 18:42:23,259 ] [ DEBUG ] [ utils:78 ] value = [4], shape = [], res = [4], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [0] [ 2020-02-19 18:42:23,261 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2020-02-19 18:42:23,261 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2020-02-19 18:42:23,262 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2020-02-19 18:42:23,263 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2020-02-19 18:42:23,265 ] [ DEBUG ] [ utils:78 ] value = [24.0], shape = [], res = [24.], res.shape = (1,) [ 2020-02-19 18:42:23,270 ] [ DEBUG ] [ utils:78 ] value = [4], shape = [], res = [4], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [0] [ WARNING ] Broadcast of scalar to shape: [0] [ WARNING ] Broadcast of scalar to shape: [0] [ 2020-02-19 18:42:23,291 ] [ DEBUG ] [ utils:78 ] value = [1094400.0], shape = [], res = [1094400.], res.shape = (1,) [ 2020-02-19 18:42:23,293 ] [ DEBUG ] [ utils:78 ] value = [1843200.0], shape = [], res = [1843200.], res.shape = (1,) [ 2020-02-19 18:42:23,295 ] [ DEBUG ] [ utils:78 ] value = [7372800.0], shape = [], res = [7372800.], res.shape = (1,) [ 2020-02-19 18:42:23,296 ] [ DEBUG ] [ utils:78 ] value = [2.0], shape = [], res = [2.], res.shape = (1,) [ 2020-02-19 18:42:23,297 ] [ DEBUG ] [ utils:78 ] value = [2.0], shape = [], res = [2.], res.shape = (1,) [ 2020-02-19 18:42:23,298 ] [ DEBUG ] [ utils:78 ] value = [2.0], shape = [], res = [2.], res.shape = (1,) [ 2020-02-19 18:42:23,346 ] [ DEBUG ] [ utils:78 ] value = [0.8999999761581421], shape = [], res = [0.9], res.shape = (1,) [ 2020-02-19 18:42:23,347 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,348 ] [ DEBUG ] [ utils:78 ] value = [0.9990000128746033], shape = [], res = [0.999], res.shape = (1,) [ 2020-02-19 18:42:23,348 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,349 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,350 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,352 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,353 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,355 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,356 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,358 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,360 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,362 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,363 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,365 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,366 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,368 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,369 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,371 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,372 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,374 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,375 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,377 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,379 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,380 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,382 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,383 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,385 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,386 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,388 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,389 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,391 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,392 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,394 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,395 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,397 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,398 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,400 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,401 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,403 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,404 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,406 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,408 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,409 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,411 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,412 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,414 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,416 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,417 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,419 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,420 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,422 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,423 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,424 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,426 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,428 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,429 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,430 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,432 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,433 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,435 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,437 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,438 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,440 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,442 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,443 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,445 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,447 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,448 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,450 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,451 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,453 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,454 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,456 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,458 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,459 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,461 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,462 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,464 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,466 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,467 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,469 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,471 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,472 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,474 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,475 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,477 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 18:42:23,479 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 18:42:23,480 ] [ DEBUG ] [ utils:78 ] value = [0.8999999761581421], shape = [], res = [0.9], res.shape = (1,) [ 2020-02-19 18:42:23,480 ] [ DEBUG ] [ utils:78 ] value = [0.9990000128746033], shape = [], res = [0.999], res.shape = (1,) [ 2020-02-19 18:42:23,481 ] [ DEBUG ] [ utils:78 ] value = [9.99999993922529e-09], shape = [], res = [1.e-08], res.shape = (1,) [ 2020-02-19 18:42:23,487 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2020-02-19 18:42:23,488 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2020-02-19 18:42:23,489 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2020-02-19 18:42:23,490 ] [ DEBUG ] [ utils:78 ] value = [b'model'], shape = [], res = ['model'], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [139] [ WARNING ] Broadcast of scalar to shape: [139] [ WARNING ] Broadcast of scalar to shape: [139] [ WARNING ] Broadcast of scalar to shape: [139] [ WARNING ] Instructions/layers that do not have attribute extractors: [ WARNING ] Assign (280) [ WARNING ] Variable/Assign [ WARNING ] Variable_1/Assign [ WARNING ] Variable_2/Assign [ WARNING ] batch_normalization/gamma/Assign [ WARNING ] batch_normalization/beta/Assign [ WARNING ] batch_normalization/moving_mean/Assign [ WARNING ] batch_normalization/moving_variance/Assign [ WARNING ] Variable_3/Assign [ WARNING ] Variable_4/Assign [ WARNING ] Variable_5/Assign [ WARNING ] Variable_6/Assign [ WARNING ] Variable_7/Assign [ WARNING ] Variable_8/Assign [ WARNING ] Variable_9/Assign [ WARNING ] Variable_10/Assign [ WARNING ] batch_normalization_1/gamma/Assign [ WARNING ] batch_normalization_1/beta/Assign [ WARNING ] batch_normalization_1/moving_mean/Assign [ WARNING ] batch_normalization_1/moving_variance/Assign [ WARNING ] Variable_11/Assign [ WARNING ] Variable_12/Assign [ WARNING ] Variable_13/Assign [ WARNING ] Variable_14/Assign [ WARNING ] Variable_15/Assign [ WARNING ] Variable_16/Assign [ WARNING ] Variable_17/Assign [ WARNING ] Variable_18/Assign [ WARNING ] batch_normalization_2/gamma/Assign [ WARNING ] batch_normalization_2/beta/Assign [ WARNING ] batch_normalization_2/moving_mean/Assign [ WARNING ] batch_normalization_2/moving_variance/Assign [ WARNING ] Variable_19/Assign [ WARNING ] Variable_20/Assign [ WARNING ] Variable_21/Assign [ WARNING ] Variable_22/Assign [ WARNING ] Variable_23/Assign [ WARNING ] Variable_24/Assign [ WARNING ] Variable_25/Assign [ WARNING ] Variable_26/Assign [ WARNING ] batch_normalization_3/gamma/Assign [ WARNING ] batch_normalization_3/beta/Assign [ WARNING ] batch_normalization_3/moving_mean/Assign [ WARNING ] batch_normalization_3/moving_variance/Assign [ WARNING ] Variable_27/Assign [ WARNING ] Variable_28/Assign [ WARNING ] batch_normalization_4/gamma/Assign [ WARNING ] batch_normalization_4/beta/Assign [ WARNING ] batch_normalization_4/moving_mean/Assign [ WARNING ] batch_normalization_4/moving_variance/Assign [ WARNING ] Variable_29/Assign [ WARNING ] Variable_30/Assign [ WARNING ] Variable_31/Assign [ WARNING ] Variable_32/Assign [ WARNING ] beta1_power/Assign [ WARNING ] beta2_power/Assign [ WARNING ] Variable_1/Adam/Assign [ WARNING ] Variable_1/Adam_1/Assign [ WARNING ] Variable_2/Adam/Assign [ WARNING ] Variable_2/Adam_1/Assign [ WARNING ] batch_normalization/gamma/Adam/Assign [ WARNING ] batch_normalization/gamma/Adam_1/Assign [ WARNING ] batch_normalization/beta/Adam/Assign [ WARNING ] batch_normalization/beta/Adam_1/Assign [ WARNING ] Variable_3/Adam/Assign [ WARNING ] Variable_3/Adam_1/Assign [ WARNING ] Variable_4/Adam/Assign [ WARNING ] Variable_4/Adam_1/Assign [ WARNING ] Variable_5/Adam/Assign [ WARNING ] Variable_5/Adam_1/Assign [ WARNING ] Variable_6/Adam/Assign [ WARNING ] Variable_6/Adam_1/Assign [ WARNING ] Variable_7/Adam/Assign [ WARNING ] Variable_7/Adam_1/Assign [ WARNING ] Variable_8/Adam/Assign [ WARNING ] Variable_8/Adam_1/Assign [ WARNING ] Variable_9/Adam/Assign [ WARNING ] Variable_9/Adam_1/Assign [ WARNING ] Variable_10/Adam/Assign [ WARNING ] Variable_10/Adam_1/Assign [ WARNING ] batch_normalization_1/gamma/Adam/Assign [ WARNING ] batch_normalization_1/gamma/Adam_1/Assign [ WARNING ] batch_normalization_1/beta/Adam/Assign [ WARNING ] batch_normalization_1/beta/Adam_1/Assign [ WARNING ] Variable_11/Adam/Assign [ WARNING ] Variable_11/Adam_1/Assign [ WARNING ] Variable_12/Adam/Assign [ WARNING ] Variable_12/Adam_1/Assign [ WARNING ] Variable_13/Adam/Assign [ WARNING ] Variable_13/Adam_1/Assign [ WARNING ] Variable_14/Adam/Assign [ WARNING ] Variable_14/Adam_1/Assign [ WARNING ] Variable_15/Adam/Assign [ WARNING ] Variable_15/Adam_1/Assign [ WARNING ] Variable_16/Adam/Assign [ WARNING ] Variable_16/Adam_1/Assign [ WARNING ] Variable_17/Adam/Assign [ WARNING ] Variable_17/Adam_1/Assign [ WARNING ] Variable_18/Adam/Assign [ WARNING ] Variable_18/Adam_1/Assign [ WARNING ] batch_normalization_2/gamma/Adam/Assign [ WARNING ] batch_normalization_2/gamma/Adam_1/Assign [ WARNING ] batch_normalization_2/beta/Adam/Assign [ WARNING ] batch_normalization_2/beta/Adam_1/Assign [ WARNING ] Variable_19/Adam/Assign [ WARNING ] Variable_19/Adam_1/Assign [ WARNING ] Variable_20/Adam/Assign [ WARNING ] Variable_20/Adam_1/Assign [ WARNING ] Variable_21/Adam/Assign [ WARNING ] Variable_21/Adam_1/Assign [ WARNING ] Variable_22/Adam/Assign [ WARNING ] Variable_22/Adam_1/Assign [ WARNING ] Variable_23/Adam/Assign [ WARNING ] Variable_23/Adam_1/Assign [ WARNING ] Variable_24/Adam/Assign [ WARNING ] Variable_24/Adam_1/Assign [ WARNING ] Variable_25/Adam/Assign [ WARNING ] Variable_25/Adam_1/Assign [ WARNING ] Variable_26/Adam/Assign [ WARNING ] Variable_26/Adam_1/Assign [ WARNING ] batch_normalization_3/gamma/Adam/Assign [ WARNING ] batch_normalization_3/gamma/Adam_1/Assign [ WARNING ] batch_normalization_3/beta/Adam/Assign [ WARNING ] batch_normalization_3/beta/Adam_1/Assign [ WARNING ] Variable_27/Adam/Assign [ WARNING ] Variable_27/Adam_1/Assign [ WARNING ] Variable_28/Adam/Assign [ WARNING ] Variable_28/Adam_1/Assign [ WARNING ] batch_normalization_4/gamma/Adam/Assign [ WARNING ] batch_normalization_4/gamma/Adam_1/Assign [ WARNING ] batch_normalization_4/beta/Adam/Assign [ WARNING ] batch_normalization_4/beta/Adam_1/Assign [ WARNING ] Variable_29/Adam/Assign [ WARNING ] Variable_29/Adam_1/Assign [ WARNING ] Variable_30/Adam/Assign [ WARNING ] Variable_30/Adam_1/Assign [ WARNING ] Variable_31/Adam/Assign [ WARNING ] Variable_31/Adam_1/Assign [ WARNING ] Variable_32/Adam/Assign [ WARNING ] Variable_32/Adam_1/Assign [ WARNING ] Adam/Assign [ WARNING ] Adam/Assign_1 [ WARNING ] save/Assign [ WARNING ] save/Assign_1 [ WARNING ] save/Assign_2 [ WARNING ] save/Assign_3 [ WARNING ] save/Assign_4 [ WARNING ] save/Assign_5 [ WARNING ] save/Assign_6 [ WARNING ] save/Assign_7 [ WARNING ] save/Assign_8 [ WARNING ] save/Assign_9 [ WARNING ] save/Assign_10 [ WARNING ] save/Assign_11 [ WARNING ] save/Assign_12 [ WARNING ] save/Assign_13 [ WARNING ] save/Assign_14 [ WARNING ] save/Assign_15 [ WARNING ] save/Assign_16 [ WARNING ] save/Assign_17 [ WARNING ] save/Assign_18 [ WARNING ] save/Assign_19 [ WARNING ] save/Assign_20 [ WARNING ] save/Assign_21 [ WARNING ] save/Assign_22 [ WARNING ] save/Assign_23 [ WARNING ] save/Assign_24 [ WARNING ] save/Assign_25 [ WARNING ] save/Assign_26 [ WARNING ] save/Assign_27 [ WARNING ] save/Assign_28 [ WARNING ] save/Assign_29 [ WARNING ] save/Assign_30 [ WARNING ] save/Assign_31 [ WARNING ] save/Assign_32 [ WARNING ] save/Assign_33 [ WARNING ] save/Assign_34 [ WARNING ] 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WARNING ] save/Assign_109 [ WARNING ] save/Assign_110 [ WARNING ] save/Assign_111 [ WARNING ] save/Assign_112 [ WARNING ] save/Assign_113 [ WARNING ] save/Assign_114 [ WARNING ] save/Assign_115 [ WARNING ] save/Assign_116 [ WARNING ] save/Assign_117 [ WARNING ] save/Assign_118 [ WARNING ] save/Assign_119 [ WARNING ] save/Assign_120 [ WARNING ] save/Assign_121 [ WARNING ] save/Assign_122 [ WARNING ] save/Assign_123 [ WARNING ] save/Assign_124 [ WARNING ] save/Assign_125 [ WARNING ] save/Assign_126 [ WARNING ] save/Assign_127 [ WARNING ] save/Assign_128 [ WARNING ] save/Assign_129 [ WARNING ] save/Assign_130 [ WARNING ] save/Assign_131 [ WARNING ] save/Assign_132 [ WARNING ] save/Assign_133 [ WARNING ] save/Assign_134 [ WARNING ] save/Assign_135 [ WARNING ] save/Assign_136 [ WARNING ] save/Assign_137 [ WARNING ] save/Assign_138 [ WARNING ] Floor (1) [ WARNING ] ExponentialDecay/Floor [ WARNING ] TruncatedNormal (16) [ WARNING ] truncated_normal/TruncatedNormal [ WARNING ] 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WARNING ] FloorDiv (1) [ WARNING ] gradients/Mean_4_grad/floordiv [ WARNING ] BiasAddGrad (16) [ WARNING ] gradients/BiasAdd_15_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_14_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_13_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_12_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_11_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_10_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_9_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_8_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_7_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_6_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_5_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_4_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_3_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_2_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_1_grad/BiasAddGrad [ WARNING ] gradients/BiasAdd_grad/BiasAddGrad [ WARNING ] NoOp (44) [ WARNING ] gradients/BiasAdd_15_grad/tuple/group_deps [ WARNING ] 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gradients/BiasAdd_9_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_9_grad/tuple/group_deps [ WARNING ] gradients/batch_normalization_2/FusedBatchNorm_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_8_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_8_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_7_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_7_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_6_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_6_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_5_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_5_grad/tuple/group_deps [ WARNING ] gradients/batch_normalization_1/FusedBatchNorm_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_4_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_4_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_3_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_3_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_2_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_2_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_1_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_1_grad/tuple/group_deps [ WARNING ] gradients/batch_normalization/FusedBatchNorm_grad/tuple/group_deps [ WARNING ] gradients/BiasAdd_grad/tuple/group_deps [ WARNING ] gradients/Conv2D_grad/tuple/group_deps [ WARNING ] Adam/update [ WARNING ] init [ WARNING ] save/restore_all [ WARNING ] ShapeN (16) [ WARNING ] gradients/Conv2D_15_grad/ShapeN [ WARNING ] gradients/Conv2D_14_grad/ShapeN [ WARNING ] gradients/Conv2D_13_grad/ShapeN [ WARNING ] gradients/Conv2D_12_grad/ShapeN [ WARNING ] gradients/Conv2D_11_grad/ShapeN [ WARNING ] gradients/Conv2D_10_grad/ShapeN [ WARNING ] gradients/Conv2D_9_grad/ShapeN [ WARNING ] gradients/Conv2D_8_grad/ShapeN [ WARNING ] gradients/Conv2D_7_grad/ShapeN [ WARNING ] gradients/Conv2D_6_grad/ShapeN [ WARNING ] gradients/Conv2D_5_grad/ShapeN [ WARNING ] gradients/Conv2D_4_grad/ShapeN [ WARNING ] gradients/Conv2D_3_grad/ShapeN [ WARNING ] gradients/Conv2D_2_grad/ShapeN [ WARNING ] gradients/Conv2D_1_grad/ShapeN [ WARNING ] gradients/Conv2D_grad/ShapeN [ WARNING ] Conv2DBackpropFilter (16) [ WARNING ] gradients/Conv2D_15_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_14_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_13_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_12_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_11_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_10_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_9_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_8_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_7_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_6_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_5_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_4_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_3_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_2_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_1_grad/Conv2DBackpropFilter [ WARNING ] gradients/Conv2D_grad/Conv2DBackpropFilter [ WARNING ] ConcatOffset (1) [ WARNING ] gradients/concat_grad/ConcatOffset [ WARNING ] BroadcastGradientArgs (3) [ WARNING ] gradients/div_grad/BroadcastGradientArgs [ WARNING ] gradients/div_2_grad/BroadcastGradientArgs [ WARNING ] gradients/div_3_grad/BroadcastGradientArgs [ WARNING ] ReluGrad (15) [ WARNING ] gradients/Relu_14_grad/ReluGrad [ WARNING ] gradients/Relu_13_grad/ReluGrad [ WARNING ] gradients/Relu_12_grad/ReluGrad [ WARNING ] gradients/Relu_11_grad/ReluGrad [ WARNING ] gradients/Relu_10_grad/ReluGrad [ WARNING ] gradients/Relu_9_grad/ReluGrad [ WARNING ] gradients/Relu_8_grad/ReluGrad [ WARNING ] gradients/Relu_7_grad/ReluGrad [ WARNING ] gradients/Relu_6_grad/ReluGrad [ WARNING ] gradients/Relu_5_grad/ReluGrad [ WARNING ] gradients/Relu_4_grad/ReluGrad [ WARNING ] gradients/Relu_3_grad/ReluGrad [ WARNING ] gradients/Relu_2_grad/ReluGrad [ WARNING ] gradients/Relu_1_grad/ReluGrad [ WARNING ] gradients/Relu_grad/ReluGrad [ WARNING ] AvgPoolGrad (2) [ WARNING ] gradients/AvgPool_1_grad/AvgPoolGrad [ WARNING ] gradients/AvgPool_2_grad/AvgPoolGrad [ WARNING ] FusedBatchNormGrad (5) [ WARNING ] gradients/batch_normalization_4/FusedBatchNorm_grad/FusedBatchNormGrad [ WARNING ] gradients/batch_normalization_3/FusedBatchNorm_grad/FusedBatchNormGrad [ WARNING ] gradients/batch_normalization_2/FusedBatchNorm_grad/FusedBatchNormGrad [ WARNING ] gradients/batch_normalization_1/FusedBatchNorm_grad/FusedBatchNormGrad [ WARNING ] gradients/batch_normalization/FusedBatchNorm_grad/FusedBatchNormGrad [ WARNING ] MaxPoolGrad (3) [ WARNING ] gradients/MaxPool_2_grad/MaxPoolGrad [ WARNING ] gradients/MaxPool_1_grad/MaxPoolGrad [ WARNING ] gradients/MaxPool_grad/MaxPoolGrad [ WARNING ] ApplyAdam (42) [ WARNING ] Adam/update_Variable_1/ApplyAdam [ WARNING ] Adam/update_Variable_2/ApplyAdam [ WARNING ] Adam/update_batch_normalization/gamma/ApplyAdam [ WARNING ] Adam/update_batch_normalization/beta/ApplyAdam [ WARNING ] Adam/update_Variable_3/ApplyAdam [ WARNING ] Adam/update_Variable_4/ApplyAdam [ WARNING ] Adam/update_Variable_5/ApplyAdam [ WARNING ] Adam/update_Variable_6/ApplyAdam [ WARNING ] Adam/update_Variable_7/ApplyAdam [ WARNING ] Adam/update_Variable_8/ApplyAdam [ WARNING ] Adam/update_Variable_9/ApplyAdam [ WARNING ] Adam/update_Variable_10/ApplyAdam [ WARNING ] Adam/update_batch_normalization_1/gamma/ApplyAdam [ WARNING ] Adam/update_batch_normalization_1/beta/ApplyAdam [ WARNING ] Adam/update_Variable_11/ApplyAdam [ WARNING ] Adam/update_Variable_12/ApplyAdam [ WARNING ] Adam/update_Variable_13/ApplyAdam [ WARNING ] Adam/update_Variable_14/ApplyAdam [ WARNING ] Adam/update_Variable_15/ApplyAdam [ WARNING ] Adam/update_Variable_16/ApplyAdam [ WARNING ] Adam/update_Variable_17/ApplyAdam [ WARNING ] Adam/update_Variable_18/ApplyAdam [ WARNING ] Adam/update_batch_normalization_2/gamma/ApplyAdam [ WARNING ] Adam/update_batch_normalization_2/beta/ApplyAdam [ WARNING ] Adam/update_Variable_19/ApplyAdam [ WARNING ] Adam/update_Variable_20/ApplyAdam [ WARNING ] Adam/update_Variable_21/ApplyAdam [ WARNING ] Adam/update_Variable_22/ApplyAdam [ WARNING ] Adam/update_Variable_23/ApplyAdam [ WARNING ] Adam/update_Variable_24/ApplyAdam [ WARNING ] Adam/update_Variable_25/ApplyAdam [ WARNING ] Adam/update_Variable_26/ApplyAdam [ WARNING ] Adam/update_batch_normalization_3/gamma/ApplyAdam [ WARNING ] Adam/update_batch_normalization_3/beta/ApplyAdam [ WARNING ] Adam/update_Variable_27/ApplyAdam [ WARNING ] Adam/update_Variable_28/ApplyAdam [ WARNING ] Adam/update_batch_normalization_4/gamma/ApplyAdam [ WARNING ] Adam/update_batch_normalization_4/beta/ApplyAdam [ WARNING ] Adam/update_Variable_29/ApplyAdam [ WARNING ] Adam/update_Variable_30/ApplyAdam [ WARNING ] Adam/update_Variable_31/ApplyAdam [ WARNING ] Adam/update_Variable_32/ApplyAdam [ WARNING ] AssignAdd (1) [ WARNING ] Adam [ WARNING ] CTCBeamSearchDecoder (1) [ WARNING ] CTCBeamSearchDecoder [ WARNING ] EditDistance (1) [ WARNING ] edit_distance [ WARNING ] SaveV2 (1) [ WARNING ] save/SaveV2 [ WARNING ] RestoreV2 (1) [ WARNING ] save/RestoreV2 [ 2020-02-19 18:42:23,548 ] [ DEBUG ] [ class_registration:257 ] Replacers execution order: | id | enabled | class | 0 | None | | 1 | None | | 2 | None | | 3 | None | | 4 | None | | 5 | False | | 6 | None | | 7 | None | | 8 | None | | 9 | False | | 10 | True | | 11 | True | | 12 | True | | 13 | True | | 14 | True | | 15 | True | | 16 | True | | 17 | True | | 18 | True | | 19 | True | | 20 | True | | 21 | True | | 22 | True | | 23 | None | | 24 | True | | 25 | True | | 26 | True | | 27 | True | | 28 | True | | 29 | True | | 30 | True | | 31 | True | | 32 | True | | 33 | True | | 34 | True | | 35 | True | | 36 | None | | 37 | None | | 38 | True | | 39 | True | | 40 | True | | 41 | True | | 42 | True | | 43 | True | | 44 | True | | 45 | True | | 46 | None | | 47 | None | | 48 | 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251 | True | | 252 | True | | 253 | True | | 254 | True | | 255 | True | | 256 | True | | 257 | True | | 258 | True | | 259 | True | | 260 | True | | 261 | True | | 262 | True | | 263 | True | | 264 | True | | 265 | True | | 266 | False | | 267 | True | | 268 | True | | 269 | True | | 270 | True | | 271 | True | | 272 | False | | 273 | False | | 274 | True | | 275 | True | | 276 | True | | 277 | True | | 278 | True | | 279 | True | | 280 | True | | 281 | True | | 282 | True | | 283 | True | | 284 | False | | 285 | False | | 286 | True | | 287 | True | | 288 | True | | 289 | True | | 290 | True | | 291 | True | | 292 | True | | 293 | True | | 294 | True | | 295 | True | | 296 | True | | 297 | True | | 298 | True | | 299 | True | | 300 | True | | 301 | True | | 302 | True | | 303 | True | | 304 | True | | 305 | True | | 306 | True | | 307 | True | | 308 | True | | 309 | True | | 310 | False | | 311 | False | | 312 | True | | 313 | False | | 314 | True | | 315 | False | [ 2020-02-19 18:42:23,548 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,561 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,587 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,631 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,676 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,676 ] [ DEBUG ] [ tf_od_api:67 ] The model does not contain nodes that must exist in the TF OD API models [ INFO ] Skip replacer (enabled = False) [ 2020-02-19 18:42:23,687 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,706 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,720 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ 2020-02-19 18:42:23,732 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,744 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 18:42:23,755 ] [ DEBUG ] [ graph:1034 ] Sink: Mean_5/sink_port_0 for node Mean_5 [ 2020-02-19 18:42:23,755 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767fe0d0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'Mean_5/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769c8e18>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,755 ] [ DEBUG ] [ graph:1036 ] Add edge from Mean_5 to Mean_5/sink_port_0 [ 2020-02-19 18:42:23,755 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like/sink_port_0 for node gradients/zeros_like [ 2020-02-19 18:42:23,755 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767feb70>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bff28>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,755 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like to gradients/zeros_like/sink_port_0 [ 2020-02-19 18:42:23,755 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_15_grad/ShapeN/sink_port_0 for node gradients/Conv2D_15_grad/ShapeN [ 2020-02-19 18:42:23,756 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766be7b8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_15_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1772451e0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,756 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_15_grad/ShapeN to gradients/Conv2D_15_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,756 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/concat_grad/tuple/control_dependency_1/sink_port_0 for node gradients/concat_grad/tuple/control_dependency_1 [ 2020-02-19 18:42:23,756 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bf268>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/concat_grad/tuple/control_dependency_1/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767f6f28>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,756 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/concat_grad/tuple/control_dependency_1 to gradients/concat_grad/tuple/control_dependency_1/sink_port_0 [ 2020-02-19 18:42:23,757 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_14_grad/ShapeN/sink_port_0 for node gradients/Conv2D_14_grad/ShapeN [ 2020-02-19 18:42:23,757 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1840>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_14_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767f6e18>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,757 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_14_grad/ShapeN to gradients/Conv2D_14_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,757 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_1/sink_port_0 for node gradients/zeros_like_1 [ 2020-02-19 18:42:23,757 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767f6378>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_1/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bf488>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,757 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_1 to gradients/zeros_like_1/sink_port_0 [ 2020-02-19 18:42:23,757 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_2/sink_port_0 for node gradients/zeros_like_2 [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767f67b8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_2/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bf048>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_2 to gradients/zeros_like_2/sink_port_0 [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_3/sink_port_0 for node gradients/zeros_like_3 [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bf6a8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_3/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe176872730>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_3 to gradients/zeros_like_3/sink_port_0 [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_4/sink_port_0 for node gradients/zeros_like_4 [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bfea0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_4/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766be048>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_4 to gradients/zeros_like_4/sink_port_0 [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_13_grad/ShapeN/sink_port_0 for node gradients/Conv2D_13_grad/ShapeN [ 2020-02-19 18:42:23,758 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bed08>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_13_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe176a19048>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_13_grad/ShapeN to gradients/Conv2D_13_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_5/sink_port_0 for node gradients/zeros_like_5 [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe176a19158>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_5/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769bc0d0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_5 to gradients/zeros_like_5/sink_port_0 [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_6/sink_port_0 for node gradients/zeros_like_6 [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1769bc620>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_6/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769c8268>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_6 to gradients/zeros_like_6/sink_port_0 [ 2020-02-19 18:42:23,759 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_7/sink_port_0 for node gradients/zeros_like_7 [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766be6a8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_7/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe176872378>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_7 to gradients/zeros_like_7/sink_port_0 [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_8/sink_port_0 for node gradients/zeros_like_8 [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766be620>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_8/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769cbb70>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_8 to gradients/zeros_like_8/sink_port_0 [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_12_grad/ShapeN/sink_port_0 for node gradients/Conv2D_12_grad/ShapeN [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767fe158>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_12_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767a5c80>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,760 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_12_grad/ShapeN to gradients/Conv2D_12_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,761 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_11_grad/ShapeN/sink_port_0 for node gradients/Conv2D_11_grad/ShapeN [ 2020-02-19 18:42:23,761 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767a50d0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_11_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766c10d0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,761 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_11_grad/ShapeN to gradients/Conv2D_11_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,761 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_10_grad/ShapeN/sink_port_0 for node gradients/Conv2D_10_grad/ShapeN [ 2020-02-19 18:42:23,761 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bfd90>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_10_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767f6d08>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,761 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_10_grad/ShapeN to gradients/Conv2D_10_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_9_grad/ShapeN/sink_port_0 for node gradients/Conv2D_9_grad/ShapeN [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767f6488>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_9_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bf0d0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_9_grad/ShapeN to gradients/Conv2D_9_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_9/sink_port_0 for node gradients/zeros_like_9 [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bdae8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_9/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767f66a8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_9 to gradients/zeros_like_9/sink_port_0 [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_10/sink_port_0 for node gradients/zeros_like_10 [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bd620>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_10/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767f6950>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,762 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_10 to gradients/zeros_like_10/sink_port_0 [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_11/sink_port_0 for node gradients/zeros_like_11 [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bd0d0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_11/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769cb9d8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_11 to gradients/zeros_like_11/sink_port_0 [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_12/sink_port_0 for node gradients/zeros_like_12 [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767f6268>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_12/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1768727b8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_12 to gradients/zeros_like_12/sink_port_0 [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_8_grad/ShapeN/sink_port_0 for node gradients/Conv2D_8_grad/ShapeN [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767a56a8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_8_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769c8158>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,763 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_8_grad/ShapeN to gradients/Conv2D_8_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_7_grad/ShapeN/sink_port_0 for node gradients/Conv2D_7_grad/ShapeN [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1b70>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_7_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769bc7b8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_7_grad/ShapeN to gradients/Conv2D_7_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_6_grad/ShapeN/sink_port_0 for node gradients/Conv2D_6_grad/ShapeN [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766be268>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_6_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767fef28>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_6_grad/ShapeN to gradients/Conv2D_6_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_5_grad/ShapeN/sink_port_0 for node gradients/Conv2D_5_grad/ShapeN [ 2020-02-19 18:42:23,764 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766be378>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_5_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe176872268>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_5_grad/ShapeN to gradients/Conv2D_5_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_13/sink_port_0 for node gradients/zeros_like_13 [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1730>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_13/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767f6400>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_13 to gradients/zeros_like_13/sink_port_0 [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_14/sink_port_0 for node gradients/zeros_like_14 [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1950>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_14/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bd1e0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_14 to gradients/zeros_like_14/sink_port_0 [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_15/sink_port_0 for node gradients/zeros_like_15 [ 2020-02-19 18:42:23,765 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1158>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_15/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1769c86a8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,766 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_15 to gradients/zeros_like_15/sink_port_0 [ 2020-02-19 18:42:23,766 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_16/sink_port_0 for node gradients/zeros_like_16 [ 2020-02-19 18:42:23,766 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767a5378>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_16/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bf1e0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,766 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_16 to gradients/zeros_like_16/sink_port_0 [ 2020-02-19 18:42:23,766 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_4_grad/ShapeN/sink_port_0 for node gradients/Conv2D_4_grad/ShapeN [ 2020-02-19 18:42:23,766 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bf8c8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_4_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bd7b8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,766 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_4_grad/ShapeN to gradients/Conv2D_4_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,767 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_3_grad/ShapeN/sink_port_0 for node gradients/Conv2D_3_grad/ShapeN [ 2020-02-19 18:42:23,767 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767f6d90>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_3_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767f6ea0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,767 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_3_grad/ShapeN to gradients/Conv2D_3_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,767 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_2_grad/ShapeN/sink_port_0 for node gradients/Conv2D_2_grad/ShapeN [ 2020-02-19 18:42:23,767 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1767fe9d8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_2_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bdea0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,767 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_2_grad/ShapeN to gradients/Conv2D_2_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_1_grad/ShapeN/sink_port_0 for node gradients/Conv2D_1_grad/ShapeN [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bd400>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_1_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bee18>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_1_grad/ShapeN to gradients/Conv2D_1_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_17/sink_port_0 for node gradients/zeros_like_17 [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766be510>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_17/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766c1268>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_17 to gradients/zeros_like_17/sink_port_0 [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_18/sink_port_0 for node gradients/zeros_like_18 [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1048>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_18/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767a5bf8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_18 to gradients/zeros_like_18/sink_port_0 [ 2020-02-19 18:42:23,768 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_19/sink_port_0 for node gradients/zeros_like_19 [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1510>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_19/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767a5840>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_19 to gradients/zeros_like_19/sink_port_0 [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/zeros_like_20/sink_port_0 for node gradients/zeros_like_20 [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766c1e18>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/zeros_like_20/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767a5268>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/zeros_like_20 to gradients/zeros_like_20/sink_port_0 [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_grad/ShapeN/sink_port_0 for node gradients/Conv2D_grad/ShapeN [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bf510>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_grad/ShapeN/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766bf620>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,769 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_grad/ShapeN to gradients/Conv2D_grad/ShapeN/sink_port_0 [ 2020-02-19 18:42:23,770 ] [ DEBUG ] [ graph:1034 ] Sink: gradients/Conv2D_grad/tuple/control_dependency/sink_port_0 for node gradients/Conv2D_grad/tuple/control_dependency [ 2020-02-19 18:42:23,770 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bf378>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'gradients/Conv2D_grad/tuple/control_dependency/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766c1400>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,770 ] [ DEBUG ] [ graph:1036 ] Add edge from gradients/Conv2D_grad/tuple/control_dependency to gradients/Conv2D_grad/tuple/control_dependency/sink_port_0 [ 2020-02-19 18:42:23,774 ] [ DEBUG ] [ graph:1034 ] Sink: Adam/sink_port_0 for node Adam [ 2020-02-19 18:42:23,774 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766bf730>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'Adam/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1766da6a8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,774 ] [ DEBUG ] [ graph:1036 ] Add edge from Adam to Adam/sink_port_0 [ 2020-02-19 18:42:23,774 ] [ DEBUG ] [ graph:1034 ] Sink: Mean_6/sink_port_0 for node Mean_6 [ 2020-02-19 18:42:23,774 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fe1766dad08>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'Mean_6/sink_port_0', 'dim_attrs': ['channel_dims', 'axis', 'spatial_dims', 'batch_dims'], 'shape_attrs': ['shape', 'pad', 'output_shape', 'stride', 'window'], 'IE': [('layer', [('id', . at 0x7fe1767a5400>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 18:42:23,775 ] [ DEBUG ] [ graph:1036 ] Add edge from Mean_6 to Mean_6/sink_port_0 [ INFO ] Possible outputs: 'batch_normalization/Const, batch_normalization_1/Const, batch_normalization_2/Const, batch_normalization_3/Const, batch_normalization_4/Const, Variable_1/Adam/read, Variable_1/Adam_1/read, Variable_2/Adam/read, Variable_2/Adam_1/read, batch_normalization/gamma/Adam/read, batch_normalization/gamma/Adam_1/read, batch_normalization/beta/Adam/read, batch_normalization/beta/Adam_1/read, Variable_3/Adam/read, Variable_3/Adam_1/read, Variable_4/Adam/read, Variable_4/Adam_1/read, Variable_5/Adam/read, Variable_5/Adam_1/read, Variable_6/Adam/read, Variable_6/Adam_1/read, Variable_7/Adam/read, Variable_7/Adam_1/read, Variable_8/Adam/read, Variable_8/Adam_1/read, Variable_9/Adam/read, Variable_9/Adam_1/read, Variable_10/Adam/read, Variable_10/Adam_1/read, batch_normalization_1/gamma/Adam/read, batch_normalization_1/gamma/Adam_1/read, batch_normalization_1/beta/Adam/read, batch_normalization_1/beta/Adam_1/read, Variable_11/Adam/read, Variable_11/Adam_1/read, Variable_12/Adam/read, Variable_12/Adam_1/read, Variable_13/Adam/read, Variable_13/Adam_1/read, Variable_14/Adam/read, Variable_14/Adam_1/read, Variable_15/Adam/read, Variable_15/Adam_1/read, Variable_16/Adam/read, Variable_16/Adam_1/read, Variable_17/Adam/read, Variable_17/Adam_1/read, Variable_18/Adam/read, Variable_18/Adam_1/read, batch_normalization_2/gamma/Adam/read, batch_normalization_2/gamma/Adam_1/read, batch_normalization_2/beta/Adam/read, batch_normalization_2/beta/Adam_1/read, Variable_19/Adam/read, Variable_19/Adam_1/read, Variable_20/Adam/read, Variable_20/Adam_1/read, Variable_21/Adam/read, Variable_21/Adam_1/read, Variable_22/Adam/read, Variable_22/Adam_1/read, Variable_23/Adam/read, Variable_23/Adam_1/read, Variable_24/Adam/read, Variable_24/Adam_1/read, Variable_25/Adam/read, Variable_25/Adam_1/read, Variable_26/Adam/read, Variable_26/Adam_1/read, batch_normalization_3/gamma/Adam/read, batch_normalization_3/gamma/Adam_1/read, batch_normalization_3/beta/Adam/read, batch_normalization_3/beta/Adam_1/read, Variable_27/Adam/read, Variable_27/Adam_1/read, Variable_28/Adam/read, Variable_28/Adam_1/read, batch_normalization_4/gamma/Adam/read, batch_normalization_4/gamma/Adam_1/read, batch_normalization_4/beta/Adam/read, batch_normalization_4/beta/Adam_1/read, Variable_29/Adam/read, Variable_29/Adam_1/read, Variable_30/Adam/read, Variable_30/Adam_1/read, Variable_31/Adam/read, Variable_31/Adam_1/read, Variable_32/Adam/read, Variable_32/Adam_1/read, init, save/control_dependency, save/restore_all' are not input reachable. True outputs are Mean_5, gradients/zeros_like, gradients/Conv2D_15_grad/ShapeN, gradients/concat_grad/tuple/control_dependency_1, gradients/Conv2D_14_grad/ShapeN, gradients/zeros_like_1, gradients/zeros_like_2, gradients/zeros_like_3, gradients/zeros_like_4, gradients/Conv2D_13_grad/ShapeN, gradients/zeros_like_5, gradients/zeros_like_6, gradients/zeros_like_7, gradients/zeros_like_8, gradients/Conv2D_12_grad/ShapeN, gradients/Conv2D_11_grad/ShapeN, gradients/Conv2D_10_grad/ShapeN, gradients/Conv2D_9_grad/ShapeN, gradients/zeros_like_9, gradients/zeros_like_10, gradients/zeros_like_11, gradients/zeros_like_12, gradients/Conv2D_8_grad/ShapeN, gradients/Conv2D_7_grad/ShapeN, gradients/Conv2D_6_grad/ShapeN, gradients/Conv2D_5_grad/ShapeN, gradients/zeros_like_13, gradients/zeros_like_14, gradients/zeros_like_15, gradients/zeros_like_16, gradients/Conv2D_4_grad/ShapeN, gradients/Conv2D_3_grad/ShapeN, gradients/Conv2D_2_grad/ShapeN, gradients/Conv2D_1_grad/ShapeN, gradients/zeros_like_17, gradients/zeros_like_18, gradients/zeros_like_19, gradients/zeros_like_20, gradients/Conv2D_grad/ShapeN, gradients/Conv2D_grad/tuple/control_dependency, Adam, Mean_6 [ 2020-02-19 18:42:23,778 ] [ DEBUG ] [ eliminate:66 ] The following nodes are seeded as output reachable: Adam/sink_port_0 Mean_5/sink_port_0 Mean_6/sink_port_0 gradients/Conv2D_10_grad/ShapeN/sink_port_0 gradients/Conv2D_11_grad/ShapeN/sink_port_0 gradients/Conv2D_12_grad/ShapeN/sink_port_0 gradients/Conv2D_13_grad/ShapeN/sink_port_0 gradients/Conv2D_14_grad/ShapeN/sink_port_0 gradients/Conv2D_15_grad/ShapeN/sink_port_0 gradients/Conv2D_1_grad/ShapeN/sink_port_0 gradients/Conv2D_2_grad/ShapeN/sink_port_0 gradients/Conv2D_3_grad/ShapeN/sink_port_0 gradients/Conv2D_4_grad/ShapeN/sink_port_0 gradients/Conv2D_5_grad/ShapeN/sink_port_0 gradients/Conv2D_6_grad/ShapeN/sink_port_0 gradients/Conv2D_7_grad/ShapeN/sink_port_0 gradients/Conv2D_8_grad/ShapeN/sink_port_0 gradients/Conv2D_9_grad/ShapeN/sink_port_0 gradients/Conv2D_grad/ShapeN/sink_port_0 gradients/Conv2D_grad/tuple/control_dependency/sink_port_0 gradients/concat_grad/tuple/control_dependency_1/sink_port_0 gradients/zeros_like/sink_port_0 gradients/zeros_like_1/sink_port_0 gradients/zeros_like_10/sink_port_0 gradients/zeros_like_11/sink_port_0 gradients/zeros_like_12/sink_port_0 gradients/zeros_like_13/sink_port_0 gradients/zeros_like_14/sink_port_0 gradients/zeros_like_15/sink_port_0 gradients/zeros_like_16/sink_port_0 gradients/zeros_like_17/sink_port_0 gradients/zeros_like_18/sink_port_0 gradients/zeros_like_19/sink_port_0 gradients/zeros_like_2/sink_port_0 gradients/zeros_like_20/sink_port_0 gradients/zeros_like_3/sink_port_0 gradients/zeros_like_4/sink_port_0 gradients/zeros_like_5/sink_port_0 gradients/zeros_like_6/sink_port_0 gradients/zeros_like_7/sink_port_0 gradients/zeros_like_8/sink_port_0 gradients/zeros_like_9/sink_port_0 [ 2020-02-19 18:42:23,865 ] [ DEBUG ] [ eliminate:136 ] Removing the following dead nodes: Variable/Assign Variable/initial_value Variable_1/Adam/Assign Variable_1/Adam/Initializer/zeros Variable_1/Adam/Initializer/zeros/Const Variable_1/Adam/Initializer/zeros/shape_as_tensor Variable_1/Adam/read Variable_1/Adam_1/Assign Variable_1/Adam_1/Initializer/zeros Variable_1/Adam_1/Initializer/zeros/Const Variable_1/Adam_1/Initializer/zeros/shape_as_tensor Variable_1/Adam_1/read Variable_1/Assign Variable_10/Adam/Assign Variable_10/Adam/Initializer/zeros Variable_10/Adam/Initializer/zeros/Const Variable_10/Adam/Initializer/zeros/shape_as_tensor Variable_10/Adam/read Variable_10/Adam_1/Assign Variable_10/Adam_1/Initializer/zeros Variable_10/Adam_1/Initializer/zeros/Const Variable_10/Adam_1/Initializer/zeros/shape_as_tensor Variable_10/Adam_1/read Variable_10/Assign Variable_11/Adam/Assign Variable_11/Adam/Initializer/zeros Variable_11/Adam/Initializer/zeros/Const Variable_11/Adam/Initializer/zeros/shape_as_tensor Variable_11/Adam/read Variable_11/Adam_1/Assign Variable_11/Adam_1/Initializer/zeros Variable_11/Adam_1/Initializer/zeros/Const Variable_11/Adam_1/Initializer/zeros/shape_as_tensor Variable_11/Adam_1/read Variable_11/Assign Variable_12/Adam/Assign Variable_12/Adam/Initializer/zeros Variable_12/Adam/Initializer/zeros/Const Variable_12/Adam/Initializer/zeros/shape_as_tensor Variable_12/Adam/read Variable_12/Adam_1/Assign Variable_12/Adam_1/Initializer/zeros Variable_12/Adam_1/Initializer/zeros/Const Variable_12/Adam_1/Initializer/zeros/shape_as_tensor Variable_12/Adam_1/read Variable_12/Assign Variable_13/Adam/Assign Variable_13/Adam/Initializer/zeros Variable_13/Adam/Initializer/zeros/Const Variable_13/Adam/Initializer/zeros/shape_as_tensor Variable_13/Adam/read Variable_13/Adam_1/Assign Variable_13/Adam_1/Initializer/zeros Variable_13/Adam_1/Initializer/zeros/Const Variable_13/Adam_1/Initializer/zeros/shape_as_tensor Variable_13/Adam_1/read Variable_13/Assign Variable_14/Adam/Assign Variable_14/Adam/Initializer/zeros 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zeros_2/shape_as_tensor zeros_3 zeros_3/Const zeros_3/shape_as_tensor zeros_4 zeros_4/Const zeros_4/shape_as_tensor zeros_5 zeros_5/Const zeros_5/shape_as_tensor zeros_6 zeros_6/Const zeros_6/shape_as_tensor zeros_7 zeros_7/Const zeros_7/shape_as_tensor zeros_8 zeros_8/Const zeros_8/shape_as_tensor zeros_9 zeros_9/Const zeros_9/shape_as_tensor [ 2020-02-19 18:42:23,879 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID" (): --input parameter was provided. Other inputs are needed for output computation. Provide more inputs or choose another place to cut the net. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #27. [ 2020-02-19 18:42:23,881 ] [ DEBUG ] [ main:324 ] Traceback (most recent call last): File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 285, in apply_transform replacer.find_and_replace_pattern(graph) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/extensions/front/input_cut.py", line 34, in find_and_replace_pattern add_input_ops(graph, graph.graph['user_shapes'], True) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/front/extractor.py", line 1331, in add_input_ops reverse_dfs(graph, output_name, check_input, visited) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/middle/passes/eliminate.py", line 42, in reverse_dfs update_func(graph, cur_node) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/front/extractor.py", line 1070, in check_input "Provide more inputs or choose another place to cut the net. " + refer_to_faq_msg(27)) mo.utils.error.Error: --input parameter was provided. Other inputs are needed for output computation. Provide more inputs or choose another place to cut the net. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #27. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/main.py", line 314, in main return driver(argv) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/main.py", line 281, in driver ret_res = emit_ir(prepare_ir(argv), argv) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/main.py", line 226, in prepare_ir graph = mo_tf.driver(argv) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 111, in driver class_registration.ClassType.BACK_REPLACER File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 324, in apply_replacements num_transforms=len(replacers_order)) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/logger.py", line 124, in wrapper function(*args, **kwargs) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 303, in apply_transform )) from err mo.utils.error.Error: Exception occurred during running replacer "REPLACEMENT_ID" (): --input parameter was provided. Other inputs are needed for output computation. Provide more inputs or choose another place to cut the net. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #27. ibox@ibox-desktop:/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer$ ibox@ibox-desktop:/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer$