[ 2020-02-19 17:54:30,200 ] [ DEBUG ] [ main:117 ] Namespace(batch=None, blobs_as_inputs=True, data_type='float', disable_fusing=None, disable_gfusing=None, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, enable_concat_optimization=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=None, input_checkpoint=None, input_meta_graph=None, input_model='/home/ibox/Desktop/BusParkingDetection/frozen_model/frozen_model.pb', input_model_is_text=False, input_shape='[1,300,300,3]', keep_quantize_ops_in_IR=True, keep_shape_ops=False, log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=False, output=None, output_dir='/home/ibox/Desktop/BusParkingDetection/', progress=False, reverse_input_channels=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 17:54:30,200 ] [ DEBUG ] [ main:118 ] Model Optimizer started [ 2020-02-19 17:54:30,200 ] [ 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_model/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: Not specified, inherited from the model - Output layers: Not specified, inherited from the model - Input shapes: [1,300,300,3] - 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 17:54:31,081 ] [ DEBUG ] [ main:211 ] Placeholder shapes : [ 1 300 300 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 17:54:31,674 ] [ 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 17:54:31,942 ] [ DEBUG ] [ tf:72 ] Number of nodes in graph_def: 924 [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StridedSlice to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BatchMatMul to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BatchMatMulV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BlockLSTM to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CTCGreedyDecoder to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cast to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FakeQuantWithMinMaxVars to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherTree to extractors with custom extractor class . [ 2020-02-19 17:54:31,942 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LoopCond to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayV3 to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayGatherV3 to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Abs to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Elu to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Erf to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Exp to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LeakyRelu to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalNot to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Relu6 to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Relu to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sigmoid to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cos to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cosh to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sin to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sinh to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tan to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tanh to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ArgMax to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Bucketize to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Concat to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Const to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2D to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthwiseConv2dNative to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3D to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CropAndResize to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2DBackpropInput to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,943 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthToSpace to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Add to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddN to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BiasAdd to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Mul to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sub to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry RealDiv to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SquaredDifference to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sqrt to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rsqrt to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Square to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Neg to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ZerosLike to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Maximum to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Minimum to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pow to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalAnd to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalOr to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Equal to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LessEqual to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Less to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Greater to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GreaterEqual to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NotEqual to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FloorMod to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExpandDims to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExtractImagePatches to extractors with custom extractor class . [ 2020-02-19 17:54:31,944 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FIFOQueueV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Fill to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Gather to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResourceGather to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Identity to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReadVariableOp to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StopGradient to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LRN to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MatMul to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NextIteration to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NonMaxSuppressionV3 to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NonMaxSuppressionV4 to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NonMaxSuppressionV5 to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry OneHot to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pad to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PadV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MirrorPad to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Placeholder to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PlaceholderWithDefault to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool3D to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool3D to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry All to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Max to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Mean to extractors with custom extractor class . [ 2020-02-19 17:54:31,945 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Prod to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sum to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rank to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Reshape to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Shape to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Size to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Squeeze to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeBilinear to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeNearestNeighbor to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseSequence to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Select to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sign to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Slice to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Softmax to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SpaceToDepth to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseFillEmptyRows to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseSegmentMean to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseSegmentSqrtN to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseSegmentSum to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseToDense to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SplitV to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Unpack to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Split to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tile to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TopK to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TopKV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Transpose to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Unique to extractors with custom extractor class . [ 2020-02-19 17:54:31,946 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Variable to extractors with custom extractor class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry VariableV2 to extractors with custom extractor class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedGather to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Parameter to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIterator to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Clamp to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Convolution to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Crop to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Activation to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Broadcast to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantOfShape to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Deconvolution to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DeformableConvolution to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Eltwise to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseN to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseNin1 to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Flatten to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FlattenONNX to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GroupNorm to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedLRN to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LstmNonLinearity to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Memory to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MemoryOffset to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Permute to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Pooling to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedPower to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Result to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ROIPooling to extractors with custom op class . [ 2020-02-19 17:54:31,947 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ScaleShift to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShapeOf to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AttributedTile to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Unsqueeze to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DetectionOutput to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Enter to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Exit to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNN to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRU to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRUCell to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GatherNd to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTM to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Log to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Gemm to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FullyConnected to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNNCell to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Reverse to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayReadV3 to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayScatterV3 to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArraySizeV3 to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayWriteV3 to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorInput to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorOutput to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorCondition to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorBackEdge to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Accum to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry AdaptiveAvgPooling to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Assert to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Axpy to extractors with custom op class . [ 2020-02-19 17:54:31,948 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Binarization to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry BN to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry _contrib_box_nms to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantFill to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry copy to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Correlation to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DataAugmentation to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronDetectionOutput to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FakeQuantize to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRN to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry HardSigmoid to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry InstanceNormalization to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interp to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interpolate to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMCell to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMSequence to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Merge to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MVN to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MXRepeat to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MXSlice to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry NonMaxSuppression to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry NonZero to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Normalize to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry NormalizeL2 to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry pnorm to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PowerFile to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PredictionHeatmap to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PReLU to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBox to extractors with custom op class . [ 2020-02-19 17:54:31,949 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBoxClustered to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronPriorGridGenerator to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Proposal to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronGenerateProposalsSingleImage to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PSROIPooling to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Range to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RegionYolo to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ReorgYolo to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Resample to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Resize to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronROIFeatureExtractor to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShuffleChannel to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SimplerNMS to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SparseReshape to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalSparseWeightedSum to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SpatialTransformer to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Splice to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SwapAxis to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Switch to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronTopKROIs to extractors with custom op class . [ 2020-02-19 17:54:31,950 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Upsample to extractors with custom op class . [ 2020-02-19 17:54:31,990 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ WARNING ] Broadcast of scalar to shape: [1] [ WARNING ] Broadcast of scalar to shape: [1] [ WARNING ] Broadcast of scalar to shape: [1] [ WARNING ] Broadcast of scalar to shape: [1] [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 17:54:31,995 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2020-02-19 17:54:31,996 ] [ DEBUG ] [ utils:78 ] value = [-0.09975093603134155], shape = [], res = [-0.09975094], res.shape = (1,) [ 2020-02-19 17:54:31,996 ] [ DEBUG ] [ utils:78 ] value = [0.09975093603134155], shape = [], res = [0.09975094], res.shape = (1,) [ 2020-02-19 17:54:31,998 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2020-02-19 17:54:32,001 ] [ DEBUG ] [ utils:78 ] value = [-0.07216878235340118], shape = [], res = [-0.07216878], res.shape = (1,) [ 2020-02-19 17:54:32,002 ] [ DEBUG ] [ utils:78 ] value = [0.07216878235340118], shape = [], res = [0.07216878], res.shape = (1,) [ 2020-02-19 17:54:32,003 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2020-02-19 17:54:32,007 ] [ DEBUG ] [ utils:78 ] value = [-0.0589255653321743], shape = [], res = [-0.05892557], res.shape = (1,) [ 2020-02-19 17:54:32,007 ] [ DEBUG ] [ utils:78 ] value = [0.0589255653321743], shape = [], res = [0.05892557], res.shape = (1,) [ 2020-02-19 17:54:32,009 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2020-02-19 17:54:32,012 ] [ DEBUG ] [ utils:78 ] value = [-0.05103103816509247], shape = [], res = [-0.05103104], res.shape = (1,) [ 2020-02-19 17:54:32,012 ] [ DEBUG ] [ utils:78 ] value = [0.05103103816509247], shape = [], res = [0.05103104], res.shape = (1,) [ 2020-02-19 17:54:32,014 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2020-02-19 17:54:32,018 ] [ DEBUG ] [ utils:78 ] value = [-0.0416666679084301], shape = [], res = [-0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,018 ] [ DEBUG ] [ utils:78 ] value = [0.0416666679084301], shape = [], res = [0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,021 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [256] [ 2020-02-19 17:54:32,024 ] [ DEBUG ] [ utils:78 ] value = [-0.03608439117670059], shape = [], res = [-0.03608439], res.shape = (1,) [ 2020-02-19 17:54:32,024 ] [ DEBUG ] [ utils:78 ] value = [0.03608439117670059], shape = [], res = [0.03608439], res.shape = (1,) [ 2020-02-19 17:54:32,027 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [256] [ 2020-02-19 17:54:32,030 ] [ DEBUG ] [ utils:78 ] value = [-0.03608439117670059], shape = [], res = [-0.03608439], res.shape = (1,) [ 2020-02-19 17:54:32,030 ] [ DEBUG ] [ utils:78 ] value = [0.03608439117670059], shape = [], res = [0.03608439], res.shape = (1,) [ 2020-02-19 17:54:32,033 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [256] [ 2020-02-19 17:54:32,037 ] [ DEBUG ] [ utils:78 ] value = [-0.02946278266608715], shape = [], res = [-0.02946278], res.shape = (1,) [ 2020-02-19 17:54:32,037 ] [ DEBUG ] [ utils:78 ] value = [0.02946278266608715], shape = [], res = [0.02946278], res.shape = (1,) [ 2020-02-19 17:54:32,042 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,045 ] [ DEBUG ] [ utils:78 ] value = [-0.025515519082546234], shape = [], res = [-0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,045 ] [ DEBUG ] [ utils:78 ] value = [0.025515519082546234], shape = [], res = [0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,052 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,056 ] [ DEBUG ] [ utils:78 ] value = [-0.025515519082546234], shape = [], res = [-0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,056 ] [ DEBUG ] [ utils:78 ] value = [0.025515519082546234], shape = [], res = [0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,063 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,068 ] [ DEBUG ] [ utils:78 ] value = [-0.025515519082546234], shape = [], res = [-0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,068 ] [ DEBUG ] [ utils:78 ] value = [0.025515519082546234], shape = [], res = [0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,075 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,079 ] [ DEBUG ] [ utils:78 ] value = [-0.025515519082546234], shape = [], res = [-0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,080 ] [ DEBUG ] [ utils:78 ] value = [0.025515519082546234], shape = [], res = [0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,086 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,090 ] [ DEBUG ] [ utils:78 ] value = [-0.025515519082546234], shape = [], res = [-0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,091 ] [ DEBUG ] [ utils:78 ] value = [0.025515519082546234], shape = [], res = [0.02551552], res.shape = (1,) [ 2020-02-19 17:54:32,098 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,103 ] [ DEBUG ] [ utils:78 ] value = [-0.02083333395421505], shape = [], res = [-0.02083333], res.shape = (1,) [ 2020-02-19 17:54:32,103 ] [ DEBUG ] [ utils:78 ] value = [0.02083333395421505], shape = [], res = [0.02083333], res.shape = (1,) [ 2020-02-19 17:54:32,117 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 17:54:32,119 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 17:54:32,126 ] [ DEBUG ] [ utils:78 ] value = [-0.05412658676505089], shape = [], res = [-0.05412659], res.shape = (1,) [ 2020-02-19 17:54:32,127 ] [ DEBUG ] [ utils:78 ] value = [0.05412658676505089], shape = [], res = [0.05412659], res.shape = (1,) [ 2020-02-19 17:54:32,133 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2020-02-19 17:54:32,134 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2020-02-19 17:54:32,138 ] [ DEBUG ] [ utils:78 ] value = [-0.06846532225608826], shape = [], res = [-0.06846532], res.shape = (1,) [ 2020-02-19 17:54:32,139 ] [ DEBUG ] [ utils:78 ] value = [0.06846532225608826], shape = [], res = [0.06846532], res.shape = (1,) [ 2020-02-19 17:54:32,142 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [256] [ 2020-02-19 17:54:32,146 ] [ DEBUG ] [ utils:78 ] value = [-0.02946278266608715], shape = [], res = [-0.02946278], res.shape = (1,) [ 2020-02-19 17:54:32,147 ] [ DEBUG ] [ utils:78 ] value = [0.02946278266608715], shape = [], res = [0.02946278], res.shape = (1,) [ 2020-02-19 17:54:32,152 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,156 ] [ DEBUG ] [ utils:78 ] value = [-0.09682458639144897], shape = [], res = [-0.09682459], res.shape = (1,) [ 2020-02-19 17:54:32,157 ] [ DEBUG ] [ utils:78 ] value = [0.09682458639144897], shape = [], res = [0.09682459], res.shape = (1,) [ 2020-02-19 17:54:32,159 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2020-02-19 17:54:32,163 ] [ DEBUG ] [ utils:78 ] value = [-0.0416666679084301], shape = [], res = [-0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,164 ] [ DEBUG ] [ utils:78 ] value = [0.0416666679084301], shape = [], res = [0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,166 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [256] [ 2020-02-19 17:54:32,170 ] [ DEBUG ] [ utils:78 ] value = [-0.125], shape = [], res = [-0.125], res.shape = (1,) [ 2020-02-19 17:54:32,170 ] [ DEBUG ] [ utils:78 ] value = [0.125], shape = [], res = [0.125], res.shape = (1,) [ 2020-02-19 17:54:32,173 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2020-02-19 17:54:32,176 ] [ DEBUG ] [ utils:78 ] value = [-0.0416666679084301], shape = [], res = [-0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,177 ] [ DEBUG ] [ utils:78 ] value = [0.0416666679084301], shape = [], res = [0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,179 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [256] [ 2020-02-19 17:54:32,182 ] [ DEBUG ] [ utils:78 ] value = [-0.125], shape = [], res = [-0.125], res.shape = (1,) [ 2020-02-19 17:54:32,183 ] [ DEBUG ] [ utils:78 ] value = [0.125], shape = [], res = [0.125], res.shape = (1,) [ 2020-02-19 17:54:32,185 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2020-02-19 17:54:32,188 ] [ DEBUG ] [ utils:78 ] value = [-0.0416666679084301], shape = [], res = [-0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,189 ] [ DEBUG ] [ utils:78 ] value = [0.0416666679084301], shape = [], res = [0.04166667], res.shape = (1,) [ 2020-02-19 17:54:32,191 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [256] [ 2020-02-19 17:54:32,194 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2020-02-19 17:54:32,194 ] [ DEBUG ] [ utils:78 ] value = [4], shape = [], res = [4], res.shape = (1,) [ 2020-02-19 17:54:32,194 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2020-02-19 17:54:32,195 ] [ DEBUG ] [ utils:78 ] value = [9.999999960041972e-13], shape = [], res = [1.e-12], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [512] [ 2020-02-19 17:54:32,198 ] [ DEBUG ] [ utils:78 ] value = [-0.03553345426917076], shape = [], res = [-0.03553345], res.shape = (1,) [ 2020-02-19 17:54:32,199 ] [ DEBUG ] [ utils:78 ] value = [0.03553345426917076], shape = [], res = [0.03553345], res.shape = (1,) [ 2020-02-19 17:54:32,201 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [16] [ 2020-02-19 17:54:32,204 ] [ DEBUG ] [ utils:78 ] value = [-0.033445004373788834], shape = [], res = [-0.033445], res.shape = (1,) [ 2020-02-19 17:54:32,204 ] [ DEBUG ] [ utils:78 ] value = [0.033445004373788834], shape = [], res = [0.033445], res.shape = (1,) [ 2020-02-19 17:54:32,207 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [84] [ 2020-02-19 17:54:32,212 ] [ DEBUG ] [ utils:78 ] value = [-0.02522166445851326], shape = [], res = [-0.02522166], res.shape = (1,) [ 2020-02-19 17:54:32,212 ] [ DEBUG ] [ utils:78 ] value = [0.02522166445851326], shape = [], res = [0.02522166], res.shape = (1,) [ 2020-02-19 17:54:32,214 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [24] [ 2020-02-19 17:54:32,218 ] [ DEBUG ] [ utils:78 ] value = [-0.024077171459794044], shape = [], res = [-0.02407717], res.shape = (1,) [ 2020-02-19 17:54:32,218 ] [ DEBUG ] [ utils:78 ] value = [0.024077171459794044], shape = [], res = [0.02407717], res.shape = (1,) [ 2020-02-19 17:54:32,223 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [126] [ 2020-02-19 17:54:32,228 ] [ DEBUG ] [ utils:78 ] value = [-0.03526728227734566], shape = [], res = [-0.03526728], res.shape = (1,) [ 2020-02-19 17:54:32,229 ] [ DEBUG ] [ utils:78 ] value = [0.03526728227734566], shape = [], res = [0.03526728], res.shape = (1,) [ 2020-02-19 17:54:32,231 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [24] [ 2020-02-19 17:54:32,235 ] [ DEBUG ] [ utils:78 ] value = [-0.03232540935277939], shape = [], res = [-0.03232541], res.shape = (1,) [ 2020-02-19 17:54:32,235 ] [ DEBUG ] [ utils:78 ] value = [0.03232540935277939], shape = [], res = [0.03232541], res.shape = (1,) [ 2020-02-19 17:54:32,238 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [126] [ 2020-02-19 17:54:32,243 ] [ DEBUG ] [ utils:78 ] value = [-0.048795003443956375], shape = [], res = [-0.048795], res.shape = (1,) [ 2020-02-19 17:54:32,244 ] [ DEBUG ] [ utils:78 ] value = [0.048795003443956375], shape = [], res = [0.048795], res.shape = (1,) [ 2020-02-19 17:54:32,246 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [24] [ 2020-02-19 17:54:32,249 ] [ DEBUG ] [ utils:78 ] value = [-0.041775599122047424], shape = [], res = [-0.0417756], res.shape = (1,) [ 2020-02-19 17:54:32,250 ] [ DEBUG ] [ utils:78 ] value = [0.041775599122047424], shape = [], res = [0.0417756], res.shape = (1,) [ 2020-02-19 17:54:32,252 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [126] [ 2020-02-19 17:54:32,256 ] [ DEBUG ] [ utils:78 ] value = [-0.04950737580657005], shape = [], res = [-0.04950738], res.shape = (1,) [ 2020-02-19 17:54:32,257 ] [ DEBUG ] [ utils:78 ] value = [0.04950737580657005], shape = [], res = [0.04950738], res.shape = (1,) [ 2020-02-19 17:54:32,259 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [16] [ 2020-02-19 17:54:32,262 ] [ DEBUG ] [ utils:78 ] value = [-0.04428074508905411], shape = [], res = [-0.04428075], res.shape = (1,) [ 2020-02-19 17:54:32,263 ] [ DEBUG ] [ utils:78 ] value = [0.04428074508905411], shape = [], res = [0.04428075], res.shape = (1,) [ 2020-02-19 17:54:32,265 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [84] [ 2020-02-19 17:54:32,269 ] [ DEBUG ] [ utils:78 ] value = [-0.04950737580657005], shape = [], res = [-0.04950738], res.shape = (1,) [ 2020-02-19 17:54:32,270 ] [ DEBUG ] [ utils:78 ] value = [0.04950737580657005], shape = [], res = [0.04950738], res.shape = (1,) [ 2020-02-19 17:54:32,272 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [16] [ 2020-02-19 17:54:32,275 ] [ DEBUG ] [ utils:78 ] value = [-0.04428074508905411], shape = [], res = [-0.04428075], res.shape = (1,) [ 2020-02-19 17:54:32,275 ] [ DEBUG ] [ utils:78 ] value = [0.04428074508905411], shape = [], res = [0.04428075], res.shape = (1,) [ 2020-02-19 17:54:32,278 ] [ DEBUG ] [ utils:78 ] value = [0.0005000000237487257], shape = [], res = [0.0005], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [84] [ 2020-02-19 17:54:32,282 ] [ DEBUG ] [ utils:78 ] value = [b'model'], shape = [], res = ['model'], res.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [71] [ WARNING ] Broadcast of scalar to shape: [71] [ WARNING ] Broadcast of scalar to shape: [71] [ WARNING ] Broadcast of scalar to shape: [71] [ WARNING ] Instructions/layers that do not have attribute extractors: [ WARNING ] Assign (142) [ WARNING ] ssd_300_vgg/conv1/conv1_1/weights/Assign [ WARNING ] ssd_300_vgg/conv1/conv1_1/biases/Assign [ WARNING ] ssd_300_vgg/conv1/conv1_2/weights/Assign [ WARNING ] ssd_300_vgg/conv1/conv1_2/biases/Assign [ WARNING ] ssd_300_vgg/conv2/conv2_1/weights/Assign [ WARNING ] ssd_300_vgg/conv2/conv2_1/biases/Assign [ WARNING ] ssd_300_vgg/conv2/conv2_2/weights/Assign [ WARNING ] ssd_300_vgg/conv2/conv2_2/biases/Assign [ WARNING ] ssd_300_vgg/conv3/conv3_1/weights/Assign [ WARNING ] ssd_300_vgg/conv3/conv3_1/biases/Assign [ WARNING ] ssd_300_vgg/conv3/conv3_2/weights/Assign [ WARNING ] ssd_300_vgg/conv3/conv3_2/biases/Assign [ WARNING ] ssd_300_vgg/conv3/conv3_3/weights/Assign [ WARNING ] ssd_300_vgg/conv3/conv3_3/biases/Assign [ WARNING ] ssd_300_vgg/conv4/conv4_1/weights/Assign [ WARNING ] ssd_300_vgg/conv4/conv4_1/biases/Assign [ WARNING ] ssd_300_vgg/conv4/conv4_2/weights/Assign [ WARNING ] ssd_300_vgg/conv4/conv4_2/biases/Assign [ WARNING ] ssd_300_vgg/conv4/conv4_3/weights/Assign [ WARNING ] ssd_300_vgg/conv4/conv4_3/biases/Assign [ WARNING ] ssd_300_vgg/conv5/conv5_1/weights/Assign [ WARNING ] ssd_300_vgg/conv5/conv5_1/biases/Assign [ WARNING ] ssd_300_vgg/conv5/conv5_2/weights/Assign [ WARNING ] ssd_300_vgg/conv5/conv5_2/biases/Assign [ WARNING ] ssd_300_vgg/conv5/conv5_3/weights/Assign [ WARNING ] ssd_300_vgg/conv5/conv5_3/biases/Assign [ WARNING ] ssd_300_vgg/conv6/weights/Assign [ WARNING ] ssd_300_vgg/conv6/biases/Assign [ WARNING ] ssd_300_vgg/conv7/weights/Assign [ WARNING ] ssd_300_vgg/conv7/biases/Assign [ WARNING ] ssd_300_vgg/block8/conv1x1/weights/Assign [ WARNING ] ssd_300_vgg/block8/conv1x1/biases/Assign [ WARNING ] ssd_300_vgg/block8/conv3x3/weights/Assign [ WARNING ] ssd_300_vgg/block8/conv3x3/biases/Assign [ WARNING ] ssd_300_vgg/block9/conv1x1/weights/Assign [ WARNING ] ssd_300_vgg/block9/conv1x1/biases/Assign [ WARNING ] ssd_300_vgg/block9/conv3x3/weights/Assign [ WARNING ] ssd_300_vgg/block9/conv3x3/biases/Assign [ WARNING ] ssd_300_vgg/block10/conv1x1/weights/Assign [ WARNING ] ssd_300_vgg/block10/conv1x1/biases/Assign [ WARNING ] ssd_300_vgg/block10/conv3x3/weights/Assign [ WARNING ] ssd_300_vgg/block10/conv3x3/biases/Assign [ WARNING ] ssd_300_vgg/block11/conv1x1/weights/Assign [ WARNING ] ssd_300_vgg/block11/conv1x1/biases/Assign [ WARNING ] ssd_300_vgg/block11/conv3x3/weights/Assign [ WARNING ] ssd_300_vgg/block11/conv3x3/biases/Assign [ WARNING ] ssd_300_vgg/block4_box/L2Normalization/gamma/Assign [ WARNING ] ssd_300_vgg/block4_box/conv_loc/weights/Assign [ WARNING ] ssd_300_vgg/block4_box/conv_loc/biases/Assign [ WARNING ] ssd_300_vgg/block4_box/conv_cls/weights/Assign [ WARNING ] ssd_300_vgg/block4_box/conv_cls/biases/Assign [ WARNING ] ssd_300_vgg/block7_box/conv_loc/weights/Assign [ WARNING ] ssd_300_vgg/block7_box/conv_loc/biases/Assign [ WARNING ] ssd_300_vgg/block7_box/conv_cls/weights/Assign [ WARNING ] ssd_300_vgg/block7_box/conv_cls/biases/Assign [ WARNING ] ssd_300_vgg/block8_box/conv_loc/weights/Assign [ WARNING ] ssd_300_vgg/block8_box/conv_loc/biases/Assign [ WARNING ] ssd_300_vgg/block8_box/conv_cls/weights/Assign [ WARNING ] ssd_300_vgg/block8_box/conv_cls/biases/Assign [ WARNING ] ssd_300_vgg/block9_box/conv_loc/weights/Assign [ WARNING ] ssd_300_vgg/block9_box/conv_loc/biases/Assign [ WARNING ] ssd_300_vgg/block9_box/conv_cls/weights/Assign [ WARNING ] ssd_300_vgg/block9_box/conv_cls/biases/Assign [ WARNING ] ssd_300_vgg/block10_box/conv_loc/weights/Assign [ WARNING ] ssd_300_vgg/block10_box/conv_loc/biases/Assign [ WARNING ] ssd_300_vgg/block10_box/conv_cls/weights/Assign [ WARNING ] ssd_300_vgg/block10_box/conv_cls/biases/Assign [ WARNING ] ssd_300_vgg/block11_box/conv_loc/weights/Assign [ WARNING ] ssd_300_vgg/block11_box/conv_loc/biases/Assign [ WARNING ] ssd_300_vgg/block11_box/conv_cls/weights/Assign [ WARNING ] ssd_300_vgg/block11_box/conv_cls/biases/Assign [ 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 ] save/Assign_35 [ WARNING ] save/Assign_36 [ WARNING ] save/Assign_37 [ WARNING ] save/Assign_38 [ WARNING ] save/Assign_39 [ WARNING ] save/Assign_40 [ WARNING ] save/Assign_41 [ WARNING ] save/Assign_42 [ WARNING ] save/Assign_43 [ WARNING ] save/Assign_44 [ WARNING ] save/Assign_45 [ WARNING ] save/Assign_46 [ WARNING ] save/Assign_47 [ WARNING ] save/Assign_48 [ WARNING ] save/Assign_49 [ WARNING ] save/Assign_50 [ WARNING ] save/Assign_51 [ WARNING ] save/Assign_52 [ WARNING ] save/Assign_53 [ WARNING ] save/Assign_54 [ WARNING ] save/Assign_55 [ WARNING ] save/Assign_56 [ WARNING ] save/Assign_57 [ WARNING ] save/Assign_58 [ WARNING ] save/Assign_59 [ WARNING ] save/Assign_60 [ WARNING ] save/Assign_61 [ WARNING ] save/Assign_62 [ WARNING ] save/Assign_63 [ WARNING ] save/Assign_64 [ WARNING ] save/Assign_65 [ WARNING ] save/Assign_66 [ WARNING ] save/Assign_67 [ WARNING ] save/Assign_68 [ WARNING ] save/Assign_69 [ WARNING ] save/Assign_70 [ WARNING ] L2Loss (35) [ WARNING ] ssd_300_vgg/conv1/conv1_1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv1/conv1_2/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv2/conv2_1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv2/conv2_2/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv3/conv3_1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv3/conv3_2/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv3/conv3_3/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv4/conv4_1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv4/conv4_2/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv4/conv4_3/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv5/conv5_1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv5/conv5_2/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv5/conv5_3/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv6/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/conv7/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block8/conv1x1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block8/conv3x3/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block9/conv1x1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block9/conv3x3/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block10/conv1x1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block10/conv3x3/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block11/conv1x1/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block11/conv3x3/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block4_box/conv_loc/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block4_box/conv_cls/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block7_box/conv_loc/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block7_box/conv_cls/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block8_box/conv_loc/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block8_box/conv_cls/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block9_box/conv_loc/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block9_box/conv_cls/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block10_box/conv_loc/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block10_box/conv_cls/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block11_box/conv_loc/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] ssd_300_vgg/block11_box/conv_cls/kernel/Regularizer/l2_regularizer/L2Loss [ WARNING ] NoOp (2) [ WARNING ] init [ WARNING ] save/restore_all [ WARNING ] SaveV2 (1) [ WARNING ] save/SaveV2 [ WARNING ] RestoreV2 (1) [ WARNING ] save/RestoreV2 [ 2020-02-19 17:54:32,379 ] [ 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 | None | | 49 | None | | 50 | True | | 51 | True | | 52 | True | | 53 | True | | 54 | True | | 55 | True | | 56 | True | | 57 | True | | 58 | True | | 59 | True | | 60 | True | | 61 | True | | 62 | True | | 63 | True | | 64 | True | | 65 | True | | 66 | True | | 67 | True | | 68 | True | | 69 | True | | 70 | True | | 71 | True | | 72 | None | | 73 | True | | 74 | None | | 75 | True | | 76 | True | | 77 | True | | 78 | True | | 79 | True | | 80 | True | | 81 | True | | 82 | True | | 83 | True | | 84 | None | | 85 | True | | 86 | None | | 87 | True | | 88 | True | | 89 | None | | 90 | None | | 91 | True | | 92 | True | | 93 | True | | 94 | True | | 95 | True | | 96 | True | | 97 | True | | 98 | True | | 99 | True | | 100 | True | | 101 | True | | 102 | True | | 103 | True | | 104 | True | | 105 | True | | 106 | True | | 107 | True | | 108 | True | | 109 | True | | 110 | True | | 111 | True | | 112 | True | | 113 | True | | 114 | True | | 115 | True | | 116 | True | | 117 | True | | 118 | True | | 119 | True | | 120 | True | | 121 | True | | 122 | True | | 123 | True | | 124 | True | | 125 | True | | 126 | True | | 127 | True | | 128 | True | | 129 | True | | 130 | True | | 131 | True | | 132 | True | | 133 | True | | 134 | True | | 135 | True | | 136 | True | | 137 | True | | 138 | True | | 139 | True | | 140 | True | | 141 | True | | 142 | True | | 143 | True | | 144 | True | | 145 | True | | 146 | True | | 147 | True | | 148 | True | | 149 | True | | 150 | True | | 151 | True | | 152 | True | | 153 | True | | 154 | True | | 155 | True | | 156 | True | | 157 | True | | 158 | True | | 159 | True | | 160 | True | | 161 | True | | 162 | True | | 163 | True | | 164 | True | | 165 | False | | 166 | True | | 167 | True | | 168 | True | | 169 | True | | 170 | True | | 171 | True | | 172 | True | | 173 | None | | 174 | True | | 175 | True | | 176 | True | | 177 | True | | 178 | True | | 179 | False | | 180 | False | | 181 | True | | 182 | True | | 183 | True | | 184 | True | | 185 | True | | 186 | True | | 187 | True | | 188 | True | | 189 | True | | 190 | True | | 191 | True | | 192 | True | | 193 | True | | 194 | True | | 195 | True | | 196 | True | | 197 | True | | 198 | True | | 199 | True | | 200 | True | | 201 | True | | 202 | True | | 203 | True | | 204 | True | | 205 | True | | 206 | True | | 207 | True | | 208 | True | | 209 | True | | 210 | True | | 211 | True | | 212 | True | | 213 | True | | 214 | True | | 215 | True | | 216 | True | | 217 | True | | 218 | True | | 219 | True | | 220 | True | | 221 | True | | 222 | True | | 223 | True | | 224 | True | | 225 | True | | 226 | True | | 227 | True | | 228 | True | | 229 | False | | 230 | True | | 231 | False | | 232 | False | | 233 | True | | 234 | False | | 235 | True | | 236 | True | | 237 | True | | 238 | True | | 239 | True | | 240 | True | | 241 | True | | 242 | True | | 243 | True | | 244 | False | | 245 | True | | 246 | False | | 247 | True | | 248 | False | | 249 | True | | 250 | True | | 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 17:54:32,380 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,390 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,411 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,441 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,466 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,467 ] [ 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 17:54:32,473 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,484 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,492 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ 2020-02-19 17:54:32,498 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,504 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_preprocessing_train/resize_image/unstack/sink_port_0 for node ssd_preprocessing_train/resize_image/unstack [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab640620>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_preprocessing_train/resize_image/unstack/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab6f7598>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_preprocessing_train/resize_image/unstack to ssd_preprocessing_train/resize_image/unstack/sink_port_0 [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_preprocessing_train/resize_image/unstack/sink_port_1 for node ssd_preprocessing_train/resize_image/unstack [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab640730>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_preprocessing_train/resize_image/unstack/sink_port_1', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab6f7378>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_preprocessing_train/resize_image/unstack to ssd_preprocessing_train/resize_image/unstack/sink_port_1 [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_preprocessing_train/resize_image/unstack/sink_port_2 for node ssd_preprocessing_train/resize_image/unstack [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab640ae8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_preprocessing_train/resize_image/unstack/sink_port_2', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab576ea0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,507 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_preprocessing_train/resize_image/unstack to ssd_preprocessing_train/resize_image/unstack/sink_port_2 [ 2020-02-19 17:54:32,511 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/block4_box/Reshape/sink_port_0 for node ssd_300_vgg/block4_box/Reshape [ 2020-02-19 17:54:32,511 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab579620>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/block4_box/Reshape/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8abe9bae8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,511 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/block4_box/Reshape to ssd_300_vgg/block4_box/Reshape/sink_port_0 [ 2020-02-19 17:54:32,512 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/softmax/Reshape_1/sink_port_0 for node ssd_300_vgg/softmax/Reshape_1 [ 2020-02-19 17:54:32,512 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab7081e0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/softmax/Reshape_1/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab6f79d8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,512 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/softmax/Reshape_1 to ssd_300_vgg/softmax/Reshape_1/sink_port_0 [ 2020-02-19 17:54:32,512 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/block7_box/Reshape/sink_port_0 for node ssd_300_vgg/block7_box/Reshape [ 2020-02-19 17:54:32,512 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab5768c8>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/block7_box/Reshape/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab57f400>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,512 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/block7_box/Reshape to ssd_300_vgg/block7_box/Reshape/sink_port_0 [ 2020-02-19 17:54:32,513 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/softmax_1/Reshape_1/sink_port_0 for node ssd_300_vgg/softmax_1/Reshape_1 [ 2020-02-19 17:54:32,513 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab576400>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/softmax_1/Reshape_1/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab640b70>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,513 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/softmax_1/Reshape_1 to ssd_300_vgg/softmax_1/Reshape_1/sink_port_0 [ 2020-02-19 17:54:32,513 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/block8_box/Reshape/sink_port_0 for node ssd_300_vgg/block8_box/Reshape [ 2020-02-19 17:54:32,513 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab708840>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/block8_box/Reshape/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab57e378>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,513 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/block8_box/Reshape to ssd_300_vgg/block8_box/Reshape/sink_port_0 [ 2020-02-19 17:54:32,514 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/softmax_2/Reshape_1/sink_port_0 for node ssd_300_vgg/softmax_2/Reshape_1 [ 2020-02-19 17:54:32,514 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab579d08>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/softmax_2/Reshape_1/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab57f8c8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,514 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/softmax_2/Reshape_1 to ssd_300_vgg/softmax_2/Reshape_1/sink_port_0 [ 2020-02-19 17:54:32,514 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/block9_box/Reshape/sink_port_0 for node ssd_300_vgg/block9_box/Reshape [ 2020-02-19 17:54:32,514 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab57f598>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/block9_box/Reshape/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab579ae8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,514 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/block9_box/Reshape to ssd_300_vgg/block9_box/Reshape/sink_port_0 [ 2020-02-19 17:54:32,515 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/softmax_3/Reshape_1/sink_port_0 for node ssd_300_vgg/softmax_3/Reshape_1 [ 2020-02-19 17:54:32,515 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab57eea0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/softmax_3/Reshape_1/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab6f7b70>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,515 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/softmax_3/Reshape_1 to ssd_300_vgg/softmax_3/Reshape_1/sink_port_0 [ 2020-02-19 17:54:32,515 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/block10_box/Reshape/sink_port_0 for node ssd_300_vgg/block10_box/Reshape [ 2020-02-19 17:54:32,515 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab6402f0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/block10_box/Reshape/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab5767b8>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,516 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/block10_box/Reshape to ssd_300_vgg/block10_box/Reshape/sink_port_0 [ 2020-02-19 17:54:32,516 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/softmax_4/Reshape_1/sink_port_0 for node ssd_300_vgg/softmax_4/Reshape_1 [ 2020-02-19 17:54:32,516 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab583d08>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/softmax_4/Reshape_1/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab5760d0>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,516 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/softmax_4/Reshape_1 to ssd_300_vgg/softmax_4/Reshape_1/sink_port_0 [ 2020-02-19 17:54:32,516 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/block11_box/Reshape/sink_port_0 for node ssd_300_vgg/block11_box/Reshape [ 2020-02-19 17:54:32,516 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab640840>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/block11_box/Reshape/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab57ed90>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,516 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/block11_box/Reshape to ssd_300_vgg/block11_box/Reshape/sink_port_0 [ 2020-02-19 17:54:32,517 ] [ DEBUG ] [ graph:1034 ] Sink: ssd_300_vgg/softmax_5/Reshape_1/sink_port_0 for node ssd_300_vgg/softmax_5/Reshape_1 [ 2020-02-19 17:54:32,517 ] [ DEBUG ] [ graph:1035 ] {'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc8ab7080d0>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'ssd_300_vgg/softmax_5/Reshape_1/sink_port_0', 'dim_attrs': ['axis', 'channel_dims', 'batch_dims', 'spatial_dims'], 'shape_attrs': ['stride', 'window', 'output_shape', 'pad', 'shape'], 'IE': [('layer', [('id', . at 0x7fc8ab579400>), 'name', 'type', 'version'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {}} [ 2020-02-19 17:54:32,517 ] [ DEBUG ] [ graph:1036 ] Add edge from ssd_300_vgg/softmax_5/Reshape_1 to ssd_300_vgg/softmax_5/Reshape_1/sink_port_0 [ INFO ] Possible outputs: 'ssd_preprocessing_train/strided_slice, ssd_preprocessing_train/strided_slice_1, ssd_300_vgg/conv1/conv1_1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv1/conv1_1/dilation_rate, ssd_300_vgg/conv1/conv1_2/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv1/conv1_2/dilation_rate, ssd_300_vgg/conv2/conv2_1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv2/conv2_1/dilation_rate, ssd_300_vgg/conv2/conv2_2/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv2/conv2_2/dilation_rate, ssd_300_vgg/conv3/conv3_1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv3/conv3_1/dilation_rate, ssd_300_vgg/conv3/conv3_2/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv3/conv3_2/dilation_rate, ssd_300_vgg/conv3/conv3_3/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv3/conv3_3/dilation_rate, ssd_300_vgg/conv4/conv4_1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv4/conv4_1/dilation_rate, ssd_300_vgg/conv4/conv4_2/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv4/conv4_2/dilation_rate, ssd_300_vgg/conv4/conv4_3/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv4/conv4_3/dilation_rate, ssd_300_vgg/conv5/conv5_1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv5/conv5_1/dilation_rate, ssd_300_vgg/conv5/conv5_2/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv5/conv5_2/dilation_rate, ssd_300_vgg/conv5/conv5_3/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv5/conv5_3/dilation_rate, ssd_300_vgg/conv6/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv6/dilation_rate, ssd_300_vgg/conv6/filter_shape, ssd_300_vgg/conv6/stack, ssd_300_vgg/conv6/required_space_to_batch_paddings/input_shape, ssd_300_vgg/conv6/required_space_to_batch_paddings/paddings, ssd_300_vgg/conv6/required_space_to_batch_paddings/crops, ssd_300_vgg/conv7/kernel/Regularizer/l2_regularizer, ssd_300_vgg/conv7/dilation_rate, ssd_300_vgg/block8/conv1x1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block8/conv1x1/dilation_rate, ssd_300_vgg/block8/conv3x3/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block8/conv3x3/dilation_rate, ssd_300_vgg/block9/conv1x1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block9/conv1x1/dilation_rate, ssd_300_vgg/block9/conv3x3/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block9/conv3x3/dilation_rate, ssd_300_vgg/block10/conv1x1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block10/conv1x1/dilation_rate, ssd_300_vgg/block10/conv3x3/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block10/conv3x3/dilation_rate, ssd_300_vgg/block11/conv1x1/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block11/conv1x1/dilation_rate, ssd_300_vgg/block11/conv3x3/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block11/conv3x3/dilation_rate, ssd_300_vgg/block4_box/conv_loc/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block4_box/conv_loc/dilation_rate, ssd_300_vgg/block4_box/conv_cls/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block4_box/conv_cls/dilation_rate, ssd_300_vgg/block7_box/conv_loc/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block7_box/conv_loc/dilation_rate, ssd_300_vgg/block7_box/conv_cls/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block7_box/conv_cls/dilation_rate, ssd_300_vgg/block8_box/conv_loc/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block8_box/conv_loc/dilation_rate, ssd_300_vgg/block8_box/conv_cls/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block8_box/conv_cls/dilation_rate, ssd_300_vgg/block9_box/conv_loc/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block9_box/conv_loc/dilation_rate, ssd_300_vgg/block9_box/conv_cls/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block9_box/conv_cls/dilation_rate, ssd_300_vgg/block10_box/conv_loc/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block10_box/conv_loc/dilation_rate, ssd_300_vgg/block10_box/conv_cls/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block10_box/conv_cls/dilation_rate, ssd_300_vgg/block11_box/conv_loc/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block11_box/conv_loc/dilation_rate, ssd_300_vgg/block11_box/conv_cls/kernel/Regularizer/l2_regularizer, ssd_300_vgg/block11_box/conv_cls/dilation_rate, init, save/control_dependency, save/restore_all' are not input reachable. True outputs are ssd_preprocessing_train/resize_image/unstack, ssd_300_vgg/block4_box/Reshape, ssd_300_vgg/softmax/Reshape_1, ssd_300_vgg/block7_box/Reshape, ssd_300_vgg/softmax_1/Reshape_1, ssd_300_vgg/block8_box/Reshape, ssd_300_vgg/softmax_2/Reshape_1, ssd_300_vgg/block9_box/Reshape, ssd_300_vgg/softmax_3/Reshape_1, ssd_300_vgg/block10_box/Reshape, ssd_300_vgg/softmax_4/Reshape_1, ssd_300_vgg/block11_box/Reshape, ssd_300_vgg/softmax_5/Reshape_1 [ 2020-02-19 17:54:32,519 ] [ DEBUG ] [ eliminate:66 ] The following nodes are seeded as output reachable: ssd_300_vgg/block10_box/Reshape/sink_port_0 ssd_300_vgg/block11_box/Reshape/sink_port_0 ssd_300_vgg/block4_box/Reshape/sink_port_0 ssd_300_vgg/block7_box/Reshape/sink_port_0 ssd_300_vgg/block8_box/Reshape/sink_port_0 ssd_300_vgg/block9_box/Reshape/sink_port_0 ssd_300_vgg/softmax/Reshape_1/sink_port_0 ssd_300_vgg/softmax_1/Reshape_1/sink_port_0 ssd_300_vgg/softmax_2/Reshape_1/sink_port_0 ssd_300_vgg/softmax_3/Reshape_1/sink_port_0 ssd_300_vgg/softmax_4/Reshape_1/sink_port_0 ssd_300_vgg/softmax_5/Reshape_1/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_1 ssd_preprocessing_train/resize_image/unstack/sink_port_2 [ 2020-02-19 17:54:32,560 ] [ DEBUG ] [ eliminate:136 ] Removing the following dead nodes: init save/Assign save/Assign_1 save/Assign_10 save/Assign_11 save/Assign_12 save/Assign_13 save/Assign_14 save/Assign_15 save/Assign_16 save/Assign_17 save/Assign_18 save/Assign_19 save/Assign_2 save/Assign_20 save/Assign_21 save/Assign_22 save/Assign_23 save/Assign_24 save/Assign_25 save/Assign_26 save/Assign_27 save/Assign_28 save/Assign_29 save/Assign_3 save/Assign_30 save/Assign_31 save/Assign_32 save/Assign_33 save/Assign_34 save/Assign_35 save/Assign_36 save/Assign_37 save/Assign_38 save/Assign_39 save/Assign_4 save/Assign_40 save/Assign_41 save/Assign_42 save/Assign_43 save/Assign_44 save/Assign_45 save/Assign_46 save/Assign_47 save/Assign_48 save/Assign_49 save/Assign_5 save/Assign_50 save/Assign_51 save/Assign_52 save/Assign_53 save/Assign_54 save/Assign_55 save/Assign_56 save/Assign_57 save/Assign_58 save/Assign_59 save/Assign_6 save/Assign_60 save/Assign_61 save/Assign_62 save/Assign_63 save/Assign_64 save/Assign_65 save/Assign_66 save/Assign_67 save/Assign_68 save/Assign_69 save/Assign_7 save/Assign_70 save/Assign_8 save/Assign_9 save/Const save/RestoreV2 save/RestoreV2/shape_and_slices save/RestoreV2/tensor_names save/SaveV2 save/SaveV2/shape_and_slices save/SaveV2/tensor_names save/control_dependency save/filename save/filename/input save/restore_all ssd_300_vgg/block10/conv1x1/biases/Assign ssd_300_vgg/block10/conv1x1/biases/Initializer/zeros ssd_300_vgg/block10/conv1x1/dilation_rate ssd_300_vgg/block10/conv1x1/kernel/Regularizer/l2_regularizer ssd_300_vgg/block10/conv1x1/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/block10/conv1x1/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/block10/conv1x1/weights/Assign ssd_300_vgg/block10/conv1x1/weights/Initializer/random_uniform ssd_300_vgg/block10/conv1x1/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/block10/conv1x1/weights/Initializer/random_uniform/max ssd_300_vgg/block10/conv1x1/weights/Initializer/random_uniform/min ssd_300_vgg/block10/conv1x1/weights/Initializer/random_uniform/mul ssd_300_vgg/block10/conv1x1/weights/Initializer/random_uniform/shape ssd_300_vgg/block10/conv1x1/weights/Initializer/random_uniform/sub ssd_300_vgg/block10/conv3x3/biases/Assign ssd_300_vgg/block10/conv3x3/biases/Initializer/zeros ssd_300_vgg/block10/conv3x3/dilation_rate ssd_300_vgg/block10/conv3x3/kernel/Regularizer/l2_regularizer ssd_300_vgg/block10/conv3x3/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/block10/conv3x3/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/block10/conv3x3/weights/Assign ssd_300_vgg/block10/conv3x3/weights/Initializer/random_uniform ssd_300_vgg/block10/conv3x3/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/block10/conv3x3/weights/Initializer/random_uniform/max ssd_300_vgg/block10/conv3x3/weights/Initializer/random_uniform/min ssd_300_vgg/block10/conv3x3/weights/Initializer/random_uniform/mul ssd_300_vgg/block10/conv3x3/weights/Initializer/random_uniform/shape ssd_300_vgg/block10/conv3x3/weights/Initializer/random_uniform/sub ssd_300_vgg/block10_box/conv_cls/biases/Assign ssd_300_vgg/block10_box/conv_cls/biases/Initializer/zeros ssd_300_vgg/block10_box/conv_cls/dilation_rate ssd_300_vgg/block10_box/conv_cls/kernel/Regularizer/l2_regularizer ssd_300_vgg/block10_box/conv_cls/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/block10_box/conv_cls/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/block10_box/conv_cls/weights/Assign ssd_300_vgg/block10_box/conv_cls/weights/Initializer/random_uniform ssd_300_vgg/block10_box/conv_cls/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/block10_box/conv_cls/weights/Initializer/random_uniform/max ssd_300_vgg/block10_box/conv_cls/weights/Initializer/random_uniform/min ssd_300_vgg/block10_box/conv_cls/weights/Initializer/random_uniform/mul ssd_300_vgg/block10_box/conv_cls/weights/Initializer/random_uniform/shape ssd_300_vgg/block10_box/conv_cls/weights/Initializer/random_uniform/sub ssd_300_vgg/block10_box/conv_loc/biases/Assign ssd_300_vgg/block10_box/conv_loc/biases/Initializer/zeros ssd_300_vgg/block10_box/conv_loc/dilation_rate ssd_300_vgg/block10_box/conv_loc/kernel/Regularizer/l2_regularizer ssd_300_vgg/block10_box/conv_loc/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/block10_box/conv_loc/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/block10_box/conv_loc/weights/Assign ssd_300_vgg/block10_box/conv_loc/weights/Initializer/random_uniform ssd_300_vgg/block10_box/conv_loc/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/block10_box/conv_loc/weights/Initializer/random_uniform/max ssd_300_vgg/block10_box/conv_loc/weights/Initializer/random_uniform/min ssd_300_vgg/block10_box/conv_loc/weights/Initializer/random_uniform/mul ssd_300_vgg/block10_box/conv_loc/weights/Initializer/random_uniform/shape ssd_300_vgg/block10_box/conv_loc/weights/Initializer/random_uniform/sub ssd_300_vgg/block11/conv1x1/biases/Assign ssd_300_vgg/block11/conv1x1/biases/Initializer/zeros ssd_300_vgg/block11/conv1x1/dilation_rate ssd_300_vgg/block11/conv1x1/kernel/Regularizer/l2_regularizer ssd_300_vgg/block11/conv1x1/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/block11/conv1x1/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/block11/conv1x1/weights/Assign ssd_300_vgg/block11/conv1x1/weights/Initializer/random_uniform ssd_300_vgg/block11/conv1x1/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/block11/conv1x1/weights/Initializer/random_uniform/max ssd_300_vgg/block11/conv1x1/weights/Initializer/random_uniform/min 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ssd_300_vgg/conv2/conv2_1/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv2/conv2_1/weights/Assign ssd_300_vgg/conv2/conv2_1/weights/Initializer/random_uniform ssd_300_vgg/conv2/conv2_1/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv2/conv2_1/weights/Initializer/random_uniform/max ssd_300_vgg/conv2/conv2_1/weights/Initializer/random_uniform/min ssd_300_vgg/conv2/conv2_1/weights/Initializer/random_uniform/mul ssd_300_vgg/conv2/conv2_1/weights/Initializer/random_uniform/shape ssd_300_vgg/conv2/conv2_1/weights/Initializer/random_uniform/sub ssd_300_vgg/conv2/conv2_2/biases/Assign ssd_300_vgg/conv2/conv2_2/biases/Initializer/zeros ssd_300_vgg/conv2/conv2_2/dilation_rate ssd_300_vgg/conv2/conv2_2/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv2/conv2_2/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv2/conv2_2/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv2/conv2_2/weights/Assign ssd_300_vgg/conv2/conv2_2/weights/Initializer/random_uniform ssd_300_vgg/conv2/conv2_2/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv2/conv2_2/weights/Initializer/random_uniform/max ssd_300_vgg/conv2/conv2_2/weights/Initializer/random_uniform/min ssd_300_vgg/conv2/conv2_2/weights/Initializer/random_uniform/mul ssd_300_vgg/conv2/conv2_2/weights/Initializer/random_uniform/shape ssd_300_vgg/conv2/conv2_2/weights/Initializer/random_uniform/sub ssd_300_vgg/conv3/conv3_1/biases/Assign ssd_300_vgg/conv3/conv3_1/biases/Initializer/zeros ssd_300_vgg/conv3/conv3_1/dilation_rate ssd_300_vgg/conv3/conv3_1/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv3/conv3_1/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv3/conv3_1/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv3/conv3_1/weights/Assign ssd_300_vgg/conv3/conv3_1/weights/Initializer/random_uniform ssd_300_vgg/conv3/conv3_1/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv3/conv3_1/weights/Initializer/random_uniform/max ssd_300_vgg/conv3/conv3_1/weights/Initializer/random_uniform/min ssd_300_vgg/conv3/conv3_1/weights/Initializer/random_uniform/mul ssd_300_vgg/conv3/conv3_1/weights/Initializer/random_uniform/shape ssd_300_vgg/conv3/conv3_1/weights/Initializer/random_uniform/sub ssd_300_vgg/conv3/conv3_2/biases/Assign ssd_300_vgg/conv3/conv3_2/biases/Initializer/zeros ssd_300_vgg/conv3/conv3_2/dilation_rate ssd_300_vgg/conv3/conv3_2/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv3/conv3_2/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv3/conv3_2/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv3/conv3_2/weights/Assign ssd_300_vgg/conv3/conv3_2/weights/Initializer/random_uniform ssd_300_vgg/conv3/conv3_2/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv3/conv3_2/weights/Initializer/random_uniform/max ssd_300_vgg/conv3/conv3_2/weights/Initializer/random_uniform/min ssd_300_vgg/conv3/conv3_2/weights/Initializer/random_uniform/mul ssd_300_vgg/conv3/conv3_2/weights/Initializer/random_uniform/shape ssd_300_vgg/conv3/conv3_2/weights/Initializer/random_uniform/sub ssd_300_vgg/conv3/conv3_3/biases/Assign ssd_300_vgg/conv3/conv3_3/biases/Initializer/zeros ssd_300_vgg/conv3/conv3_3/dilation_rate ssd_300_vgg/conv3/conv3_3/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv3/conv3_3/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv3/conv3_3/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv3/conv3_3/weights/Assign ssd_300_vgg/conv3/conv3_3/weights/Initializer/random_uniform ssd_300_vgg/conv3/conv3_3/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv3/conv3_3/weights/Initializer/random_uniform/max ssd_300_vgg/conv3/conv3_3/weights/Initializer/random_uniform/min ssd_300_vgg/conv3/conv3_3/weights/Initializer/random_uniform/mul ssd_300_vgg/conv3/conv3_3/weights/Initializer/random_uniform/shape ssd_300_vgg/conv3/conv3_3/weights/Initializer/random_uniform/sub ssd_300_vgg/conv4/conv4_1/biases/Assign ssd_300_vgg/conv4/conv4_1/biases/Initializer/zeros ssd_300_vgg/conv4/conv4_1/dilation_rate ssd_300_vgg/conv4/conv4_1/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv4/conv4_1/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv4/conv4_1/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv4/conv4_1/weights/Assign ssd_300_vgg/conv4/conv4_1/weights/Initializer/random_uniform ssd_300_vgg/conv4/conv4_1/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv4/conv4_1/weights/Initializer/random_uniform/max ssd_300_vgg/conv4/conv4_1/weights/Initializer/random_uniform/min ssd_300_vgg/conv4/conv4_1/weights/Initializer/random_uniform/mul ssd_300_vgg/conv4/conv4_1/weights/Initializer/random_uniform/shape ssd_300_vgg/conv4/conv4_1/weights/Initializer/random_uniform/sub ssd_300_vgg/conv4/conv4_2/biases/Assign ssd_300_vgg/conv4/conv4_2/biases/Initializer/zeros ssd_300_vgg/conv4/conv4_2/dilation_rate ssd_300_vgg/conv4/conv4_2/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv4/conv4_2/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv4/conv4_2/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv4/conv4_2/weights/Assign ssd_300_vgg/conv4/conv4_2/weights/Initializer/random_uniform ssd_300_vgg/conv4/conv4_2/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv4/conv4_2/weights/Initializer/random_uniform/max ssd_300_vgg/conv4/conv4_2/weights/Initializer/random_uniform/min ssd_300_vgg/conv4/conv4_2/weights/Initializer/random_uniform/mul ssd_300_vgg/conv4/conv4_2/weights/Initializer/random_uniform/shape ssd_300_vgg/conv4/conv4_2/weights/Initializer/random_uniform/sub ssd_300_vgg/conv4/conv4_3/biases/Assign ssd_300_vgg/conv4/conv4_3/biases/Initializer/zeros ssd_300_vgg/conv4/conv4_3/dilation_rate ssd_300_vgg/conv4/conv4_3/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv4/conv4_3/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv4/conv4_3/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv4/conv4_3/weights/Assign ssd_300_vgg/conv4/conv4_3/weights/Initializer/random_uniform ssd_300_vgg/conv4/conv4_3/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv4/conv4_3/weights/Initializer/random_uniform/max ssd_300_vgg/conv4/conv4_3/weights/Initializer/random_uniform/min ssd_300_vgg/conv4/conv4_3/weights/Initializer/random_uniform/mul ssd_300_vgg/conv4/conv4_3/weights/Initializer/random_uniform/shape ssd_300_vgg/conv4/conv4_3/weights/Initializer/random_uniform/sub ssd_300_vgg/conv5/conv5_1/biases/Assign ssd_300_vgg/conv5/conv5_1/biases/Initializer/zeros ssd_300_vgg/conv5/conv5_1/dilation_rate ssd_300_vgg/conv5/conv5_1/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv5/conv5_1/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv5/conv5_1/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv5/conv5_1/weights/Assign ssd_300_vgg/conv5/conv5_1/weights/Initializer/random_uniform ssd_300_vgg/conv5/conv5_1/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv5/conv5_1/weights/Initializer/random_uniform/max ssd_300_vgg/conv5/conv5_1/weights/Initializer/random_uniform/min ssd_300_vgg/conv5/conv5_1/weights/Initializer/random_uniform/mul ssd_300_vgg/conv5/conv5_1/weights/Initializer/random_uniform/shape ssd_300_vgg/conv5/conv5_1/weights/Initializer/random_uniform/sub ssd_300_vgg/conv5/conv5_2/biases/Assign ssd_300_vgg/conv5/conv5_2/biases/Initializer/zeros ssd_300_vgg/conv5/conv5_2/dilation_rate ssd_300_vgg/conv5/conv5_2/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv5/conv5_2/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv5/conv5_2/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv5/conv5_2/weights/Assign ssd_300_vgg/conv5/conv5_2/weights/Initializer/random_uniform ssd_300_vgg/conv5/conv5_2/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv5/conv5_2/weights/Initializer/random_uniform/max ssd_300_vgg/conv5/conv5_2/weights/Initializer/random_uniform/min ssd_300_vgg/conv5/conv5_2/weights/Initializer/random_uniform/mul ssd_300_vgg/conv5/conv5_2/weights/Initializer/random_uniform/shape ssd_300_vgg/conv5/conv5_2/weights/Initializer/random_uniform/sub ssd_300_vgg/conv5/conv5_3/biases/Assign ssd_300_vgg/conv5/conv5_3/biases/Initializer/zeros ssd_300_vgg/conv5/conv5_3/dilation_rate ssd_300_vgg/conv5/conv5_3/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv5/conv5_3/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv5/conv5_3/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv5/conv5_3/weights/Assign ssd_300_vgg/conv5/conv5_3/weights/Initializer/random_uniform ssd_300_vgg/conv5/conv5_3/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv5/conv5_3/weights/Initializer/random_uniform/max ssd_300_vgg/conv5/conv5_3/weights/Initializer/random_uniform/min ssd_300_vgg/conv5/conv5_3/weights/Initializer/random_uniform/mul ssd_300_vgg/conv5/conv5_3/weights/Initializer/random_uniform/shape ssd_300_vgg/conv5/conv5_3/weights/Initializer/random_uniform/sub ssd_300_vgg/conv6/biases/Assign ssd_300_vgg/conv6/biases/Initializer/zeros ssd_300_vgg/conv6/biases/Initializer/zeros/Const ssd_300_vgg/conv6/biases/Initializer/zeros/shape_as_tensor ssd_300_vgg/conv6/dilation_rate ssd_300_vgg/conv6/filter_shape ssd_300_vgg/conv6/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv6/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv6/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv6/required_space_to_batch_paddings/crops ssd_300_vgg/conv6/required_space_to_batch_paddings/input_shape ssd_300_vgg/conv6/required_space_to_batch_paddings/paddings ssd_300_vgg/conv6/stack ssd_300_vgg/conv6/weights/Assign ssd_300_vgg/conv6/weights/Initializer/random_uniform ssd_300_vgg/conv6/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv6/weights/Initializer/random_uniform/max ssd_300_vgg/conv6/weights/Initializer/random_uniform/min ssd_300_vgg/conv6/weights/Initializer/random_uniform/mul ssd_300_vgg/conv6/weights/Initializer/random_uniform/shape ssd_300_vgg/conv6/weights/Initializer/random_uniform/sub ssd_300_vgg/conv7/biases/Assign ssd_300_vgg/conv7/biases/Initializer/zeros ssd_300_vgg/conv7/biases/Initializer/zeros/Const ssd_300_vgg/conv7/biases/Initializer/zeros/shape_as_tensor ssd_300_vgg/conv7/dilation_rate ssd_300_vgg/conv7/kernel/Regularizer/l2_regularizer ssd_300_vgg/conv7/kernel/Regularizer/l2_regularizer/L2Loss ssd_300_vgg/conv7/kernel/Regularizer/l2_regularizer/scale ssd_300_vgg/conv7/weights/Assign ssd_300_vgg/conv7/weights/Initializer/random_uniform ssd_300_vgg/conv7/weights/Initializer/random_uniform/RandomUniform ssd_300_vgg/conv7/weights/Initializer/random_uniform/max ssd_300_vgg/conv7/weights/Initializer/random_uniform/min ssd_300_vgg/conv7/weights/Initializer/random_uniform/mul ssd_300_vgg/conv7/weights/Initializer/random_uniform/shape ssd_300_vgg/conv7/weights/Initializer/random_uniform/sub ssd_preprocessing_train/Const_1 ssd_preprocessing_train/strided_slice ssd_preprocessing_train/strided_slice/stack ssd_preprocessing_train/strided_slice/stack_1 ssd_preprocessing_train/strided_slice/stack_2 ssd_preprocessing_train/strided_slice_1 ssd_preprocessing_train/strided_slice_1/stack ssd_preprocessing_train/strided_slice_1/stack_1 ssd_preprocessing_train/strided_slice_1/stack_2 [ 2020-02-19 17:54:32,566 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,570 ] [ DEBUG ] [ eliminate:66 ] The following nodes are seeded as output reachable: ssd_300_vgg/block10_box/Reshape/sink_port_0 ssd_300_vgg/block11_box/Reshape/sink_port_0 ssd_300_vgg/block4_box/Reshape/sink_port_0 ssd_300_vgg/block7_box/Reshape/sink_port_0 ssd_300_vgg/block8_box/Reshape/sink_port_0 ssd_300_vgg/block9_box/Reshape/sink_port_0 ssd_300_vgg/softmax/Reshape_1/sink_port_0 ssd_300_vgg/softmax_1/Reshape_1/sink_port_0 ssd_300_vgg/softmax_2/Reshape_1/sink_port_0 ssd_300_vgg/softmax_3/Reshape_1/sink_port_0 ssd_300_vgg/softmax_4/Reshape_1/sink_port_0 ssd_300_vgg/softmax_5/Reshape_1/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_1 ssd_preprocessing_train/resize_image/unstack/sink_port_2 [ 2020-02-19 17:54:32,587 ] [ DEBUG ] [ eliminate:136 ] Removing the following dead nodes: [ INFO ] Skip replacer (graph_condition not satisfied) [ 2020-02-19 17:54:32,591 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,595 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,605 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ 2020-02-19 17:54:32,614 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,632 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,635 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLOV3' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLOV3' [ 2020-02-19 17:54:32,638 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,641 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,650 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,650 ] [ DEBUG ] [ transposed_mvn_unrolled:111 ] Enabled Transposed MVN replacement [ 2020-02-19 17:54:32,660 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,662 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,672 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,675 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,683 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,686 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,690 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,693 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,702 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,711 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'SSDToolboxDetectionOutput' doesn't exist [ INFO ] Failed to find custom replacement description with id 'SSDToolboxDetectionOutput' [ 2020-02-19 17:54:32,714 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'RetinaNetFilteredDetectionsReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'RetinaNetFilteredDetectionsReplacement' [ 2020-02-19 17:54:32,717 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,731 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,740 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,749 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,758 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,767 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,776 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,787 ] [ DEBUG ] [ eliminate:66 ] The following nodes are seeded as output reachable: ssd_300_vgg/block10_box/Reshape/sink_port_0 ssd_300_vgg/block11_box/Reshape/sink_port_0 ssd_300_vgg/block4_box/Reshape/sink_port_0 ssd_300_vgg/block7_box/Reshape/sink_port_0 ssd_300_vgg/block8_box/Reshape/sink_port_0 ssd_300_vgg/block9_box/Reshape/sink_port_0 ssd_300_vgg/softmax/Reshape_1/sink_port_0 ssd_300_vgg/softmax_1/Reshape_1/sink_port_0 ssd_300_vgg/softmax_2/Reshape_1/sink_port_0 ssd_300_vgg/softmax_3/Reshape_1/sink_port_0 ssd_300_vgg/softmax_4/Reshape_1/sink_port_0 ssd_300_vgg/softmax_5/Reshape_1/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_1 ssd_preprocessing_train/resize_image/unstack/sink_port_2 [ 2020-02-19 17:54:32,804 ] [ DEBUG ] [ eliminate:136 ] Removing the following dead nodes: ssd_300_vgg/block4_box/L2Normalization/l2_normalize/Rsqrt ssd_300_vgg/block4_box/L2Normalization/l2_normalize/Square [ 2020-02-19 17:54:32,808 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,808 ] [ DEBUG ] [ mvn_unrolled:38 ] Enabled MVN replacement [ 2020-02-19 17:54:32,817 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIOutputReplacement' [ 2020-02-19 17:54:32,820 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIConstValueOverride' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIConstValueOverride' [ 2020-02-19 17:54:32,823 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIPreprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessorReplacement' [ 2020-02-19 17:54:32,826 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIProposalReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIProposalReplacement' [ 2020-02-19 17:54:32,829 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,838 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,849 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,859 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,868 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,871 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,871 ] [ DEBUG ] [ mvn:33 ] Enabled MVN replacement [ INFO ] Skip replacer (graph_condition not satisfied) [ 2020-02-19 17:54:32,880 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,889 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ 2020-02-19 17:54:32,898 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'InterpolateTranspose' doesn't exist [ INFO ] Failed to find custom replacement description with id 'InterpolateTranspose' [ 2020-02-19 17:54:32,901 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,911 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,920 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,930 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,933 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,943 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,943 ] [ DEBUG ] [ GNMT_DynamicSequenceLengths:42 ] +++++++++++++++ GNMT Sequence Lengths ConditionMatching ++++++++++++++++ [ 2020-02-19 17:54:32,953 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,963 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,974 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,984 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,988 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:32,998 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPISSDPostprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPISSDPostprocessorReplacement' [ 2020-02-19 17:54:33,002 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,018 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLO' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLO' [ 2020-02-19 17:54:33,021 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,032 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,042 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,052 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,056 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,056 ] [ DEBUG ] [ sparse_weighted_sum:113 ] Enabled ExperimentalSparseWeightedSum2 replacement [ 2020-02-19 17:54:33,070 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,070 ] [ DEBUG ] [ sparse_weighted_sum:35 ] Enabled ExperimentalSparseWeightedSum replacement [ 2020-02-19 17:54:33,084 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,094 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,105 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,115 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement' [ 2020-02-19 17:54:33,119 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,129 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIPSROIPoolingReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIPSROIPoolingReplacement' [ 2020-02-19 17:54:33,133 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,142 ] [ DEBUG ] [ replacement:114 ] Created edge from ssd_preprocessing_train/sub/add_ to ssd_preprocessing_train/resize_image/Shape with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('ssd_preprocessing_train/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False} [ 2020-02-19 17:54:33,142 ] [ DEBUG ] [ replacement:114 ] Created edge from ssd_preprocessing_train/sub/add_ to ssd_preprocessing_train/resize_image/ExpandDims with attrs: {'in': 0, 'out': 0, 'fw_tensor_debug_info': [('ssd_preprocessing_train/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False} [ 2020-02-19 17:54:33,142 ] [ DEBUG ] [ replacement:230 ] Removing nodes: ['ssd_preprocessing_train/sub'] [ 2020-02-19 17:54:33,146 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,154 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' [ 2020-02-19 17:54:33,157 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' [ 2020-02-19 17:54:33,161 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,171 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,172 ] [ DEBUG ] [ ChangePlaceholderTypes:37 ] Convert data type of Parameter "Placeholder" to float32 [ 2020-02-19 17:54:33,172 ] [ DEBUG ] [ ChangePlaceholderTypes:41 ] Removing "Convert" node "ssd_preprocessing_train/ToFloat" [ 2020-02-19 17:54:33,176 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,186 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,196 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,199 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,210 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,236 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,247 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,251 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,257 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,284 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,295 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,305 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,316 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,326 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,336 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,347 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,350 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,373 ] [ DEBUG ] [ eliminate:66 ] The following nodes are seeded as output reachable: ssd_300_vgg/block10_box/Reshape/sink_port_0 ssd_300_vgg/block11_box/Reshape/sink_port_0 ssd_300_vgg/block4_box/Reshape/sink_port_0 ssd_300_vgg/block7_box/Reshape/sink_port_0 ssd_300_vgg/block8_box/Reshape/sink_port_0 ssd_300_vgg/block9_box/Reshape/sink_port_0 ssd_300_vgg/softmax/Reshape_1/sink_port_0 ssd_300_vgg/softmax_1/Reshape_1/sink_port_0 ssd_300_vgg/softmax_2/Reshape_1/sink_port_0 ssd_300_vgg/softmax_3/Reshape_1/sink_port_0 ssd_300_vgg/softmax_4/Reshape_1/sink_port_0 ssd_300_vgg/softmax_5/Reshape_1/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_0 ssd_preprocessing_train/resize_image/unstack/sink_port_1 ssd_preprocessing_train/resize_image/unstack/sink_port_2 [ 2020-02-19 17:54:33,416 ] [ DEBUG ] [ eliminate:136 ] Removing the following dead nodes: [ 2020-02-19 17:54:33,427 ] [ DEBUG ] [ class_registration:281 ] Run replacer [ 2020-02-19 17:54:33,433 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,433 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/unstack/Split/value [ 2020-02-19 17:54:33,433 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,433 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 0 [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/unstack/Squeeze_951/value [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 0 [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/unstack/Squeeze_949/value [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,434 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 0 [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/unstack/Squeeze_/value [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 0 [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:129 ] Partial infer for 944 [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,435 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = -1.0 [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:129 ] Partial infer for 942 [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = -0.5 [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:129 ] Partial infer for 940 [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 2.0 [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_5/Shape [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,436 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 1 1 4 21] [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_5/Reshape/shape [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [-1 21] [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,437 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/Reshape_1/shape [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 1 1 4 21] [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_cls/biases [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,438 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,439 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [84], value = [ 0.03397357 0.00069924 -0.00484056 -0.00178357 0.0051009 -0.00473483 0.00732234 0.01207884... [ 2020-02-19 17:54:33,439 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,439 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_cls/biases/read [ 2020-02-19 17:54:33,439 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,439 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,440 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [84], value = [ 0.03397357 0.00069924 -0.00484056 -0.00178357 0.0051009 -0.00473483 0.00732234 0.01207884... [ 2020-02-19 17:54:33,440 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,441 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [84], value = [ 0.03397357 0.00069924 -0.00484056 -0.00178357 0.0051009 -0.00473483 0.00732234 0.01207884... [ 2020-02-19 17:54:33,441 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,441 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_cls/weights [ 2020-02-19 17:54:33,441 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,441 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,441 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,444 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 84], value = [[[[-2.52842350e-04 -4.86237288e-04 6.36678562e-03 ... -4.23815707e-03 6.45593368e-03 -3.00... [ 2020-02-19 17:54:33,444 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,444 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_cls/weights/read [ 2020-02-19 17:54:33,444 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,444 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,446 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 84], value = [[[[-2.52842350e-04 -4.86237288e-04 6.36678562e-03 ... -4.23815707e-03 6.45593368e-03 -3.00... [ 2020-02-19 17:54:33,447 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,449 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 84], value = [[[[-2.52842350e-04 -4.86237288e-04 6.36678562e-03 ... -4.23815707e-03 6.45593368e-03 -3.00... [ 2020-02-19 17:54:33,449 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,449 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/Reshape/shape [ 2020-02-19 17:54:33,449 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,449 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [1 1 1 4 4] [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_loc/biases [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,450 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [16], value = [ 5.2409150e-06 1.4308020e-02 2.5022030e-03 4.0088452e-02 7.6851426e-03 1.9501984e-02 -4.98... [ 2020-02-19 17:54:33,451 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,451 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_loc/biases/read [ 2020-02-19 17:54:33,451 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,451 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,451 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [16], value = [ 5.2409150e-06 1.4308020e-02 2.5022030e-03 4.0088452e-02 7.6851426e-03 1.9501984e-02 -4.98... [ 2020-02-19 17:54:33,451 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,451 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [16], value = [ 5.2409150e-06 1.4308020e-02 2.5022030e-03 4.0088452e-02 7.6851426e-03 1.9501984e-02 -4.98... [ 2020-02-19 17:54:33,452 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,452 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_loc/weights [ 2020-02-19 17:54:33,452 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,452 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,452 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,454 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 16], value = [[[[-6.0697934e-03 4.0689749e-03 -4.8077628e-03 ... 1.3454746e-04 8.1176739e-03 2.9077672... [ 2020-02-19 17:54:33,454 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,454 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11_box/conv_loc/weights/read [ 2020-02-19 17:54:33,454 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,455 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,457 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 16], value = [[[[-6.0697934e-03 4.0689749e-03 -4.8077628e-03 ... 1.3454746e-04 8.1176739e-03 2.9077672... [ 2020-02-19 17:54:33,457 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 16], value = [[[[-6.0697934e-03 4.0689749e-03 -4.8077628e-03 ... 1.3454746e-04 8.1176739e-03 2.9077672... [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_4/Shape [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 3 3 4 21] [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_4/Reshape/shape [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,460 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [-1 21] [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/Reshape_1/shape [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 3 3 4 21] [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_cls/biases [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,461 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,462 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,462 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [84], value = [ 2.7635664e-01 -2.8126335e-03 -8.8734338e-03 -4.4333469e-03 1.8227103e-04 -2.8935941e-03 -3.81... [ 2020-02-19 17:54:33,462 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,462 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_cls/biases/read [ 2020-02-19 17:54:33,463 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,463 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,463 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [84], value = [ 2.7635664e-01 -2.8126335e-03 -8.8734338e-03 -4.4333469e-03 1.8227103e-04 -2.8935941e-03 -3.81... [ 2020-02-19 17:54:33,464 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,464 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [84], value = [ 2.7635664e-01 -2.8126335e-03 -8.8734338e-03 -4.4333469e-03 1.8227103e-04 -2.8935941e-03 -3.81... [ 2020-02-19 17:54:33,465 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,465 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_cls/weights [ 2020-02-19 17:54:33,465 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,465 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,465 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,467 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 84], value = [[[[ 9.16333310e-03 -2.50026793e-03 -7.22927693e-03 ... 8.57226178e-03 8.80330149e-03 2.70... [ 2020-02-19 17:54:33,468 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,468 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_cls/weights/read [ 2020-02-19 17:54:33,468 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,468 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,470 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 84], value = [[[[ 9.16333310e-03 -2.50026793e-03 -7.22927693e-03 ... 8.57226178e-03 8.80330149e-03 2.70... [ 2020-02-19 17:54:33,470 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,473 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 84], value = [[[[ 9.16333310e-03 -2.50026793e-03 -7.22927693e-03 ... 8.57226178e-03 8.80330149e-03 2.70... [ 2020-02-19 17:54:33,473 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,473 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/Reshape/shape [ 2020-02-19 17:54:33,473 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,473 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,473 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,473 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [1 3 3 4 4] [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_loc/biases [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [16], value = [-0.00124432 0.00060914 -0.05815936 -0.04259789 0.01670278 0.00338012 -0.03818335 -0.02241812... [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_loc/biases/read [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,474 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,475 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [16], value = [-0.00124432 0.00060914 -0.05815936 -0.04259789 0.01670278 0.00338012 -0.03818335 -0.02241812... [ 2020-02-19 17:54:33,475 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,475 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [16], value = [-0.00124432 0.00060914 -0.05815936 -0.04259789 0.01670278 0.00338012 -0.03818335 -0.02241812... [ 2020-02-19 17:54:33,475 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,475 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_loc/weights [ 2020-02-19 17:54:33,475 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,475 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,476 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,478 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 16], value = [[[[ 1.20773293e-04 -8.34393036e-03 -3.07459547e-03 ... 1.50961999e-03 8.98960885e-03 -4.76... [ 2020-02-19 17:54:33,478 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,478 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10_box/conv_loc/weights/read [ 2020-02-19 17:54:33,478 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,478 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,481 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 16], value = [[[[ 1.20773293e-04 -8.34393036e-03 -3.07459547e-03 ... 1.50961999e-03 8.98960885e-03 -4.76... [ 2020-02-19 17:54:33,481 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,483 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 16], value = [[[[ 1.20773293e-04 -8.34393036e-03 -3.07459547e-03 ... 1.50961999e-03 8.98960885e-03 -4.76... [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_3/Shape [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 5 5 6 21] [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_3/Reshape/shape [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,484 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [-1 21] [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/Reshape_1/shape [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 5 5 6 21] [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_cls/biases [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,485 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,486 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [126], value = [ 3.31705749e-01 -6.28706487e-03 -3.30868922e-03 3.69960419e-03 7.45996775e-04 -3.52207664e-03... [ 2020-02-19 17:54:33,487 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,487 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_cls/biases/read [ 2020-02-19 17:54:33,487 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,487 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,488 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [126], value = [ 3.31705749e-01 -6.28706487e-03 -3.30868922e-03 3.69960419e-03 7.45996775e-04 -3.52207664e-03... [ 2020-02-19 17:54:33,488 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,489 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [126], value = [ 3.31705749e-01 -6.28706487e-03 -3.30868922e-03 3.69960419e-03 7.45996775e-04 -3.52207664e-03... [ 2020-02-19 17:54:33,489 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,489 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_cls/weights [ 2020-02-19 17:54:33,489 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,489 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,489 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,492 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 126], value = [[[[ 4.43028333e-03 -3.63508053e-03 -3.61905666e-03 ... 7.22574769e-03 1.23718195e-03 -1.66... [ 2020-02-19 17:54:33,492 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,492 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_cls/weights/read [ 2020-02-19 17:54:33,492 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,492 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,495 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 126], value = [[[[ 4.43028333e-03 -3.63508053e-03 -3.61905666e-03 ... 7.22574769e-03 1.23718195e-03 -1.66... [ 2020-02-19 17:54:33,495 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,498 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 126], value = [[[[ 4.43028333e-03 -3.63508053e-03 -3.61905666e-03 ... 7.22574769e-03 1.23718195e-03 -1.66... [ 2020-02-19 17:54:33,498 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,498 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/Reshape/shape [ 2020-02-19 17:54:33,498 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,498 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,498 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,498 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [1 5 5 6 4] [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_loc/biases [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [24], value = [ 0.00891089 -0.01737529 -0.0515038 0.00335493 0.03591312 0.02436417 -0.01719529 0.0427607 ... [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_loc/biases/read [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,499 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,500 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [24], value = [ 0.00891089 -0.01737529 -0.0515038 0.00335493 0.03591312 0.02436417 -0.01719529 0.0427607 ... [ 2020-02-19 17:54:33,500 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,500 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [24], value = [ 0.00891089 -0.01737529 -0.0515038 0.00335493 0.03591312 0.02436417 -0.01719529 0.0427607 ... [ 2020-02-19 17:54:33,501 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,501 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_loc/weights [ 2020-02-19 17:54:33,501 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,501 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,501 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,503 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 24], value = [[[[ 2.67391698e-03 3.80901480e-03 2.08334997e-03 ... -8.16104584e-04 -1.41773361e-03 -6.32... [ 2020-02-19 17:54:33,503 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,503 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9_box/conv_loc/weights/read [ 2020-02-19 17:54:33,503 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,504 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,506 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 24], value = [[[[ 2.67391698e-03 3.80901480e-03 2.08334997e-03 ... -8.16104584e-04 -1.41773361e-03 -6.32... [ 2020-02-19 17:54:33,506 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 24], value = [[[[ 2.67391698e-03 3.80901480e-03 2.08334997e-03 ... -8.16104584e-04 -1.41773361e-03 -6.32... [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_2/Shape [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 10 10 6 21] [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_2/Reshape/shape [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,509 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [-1 21] [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/Reshape_1/shape [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 10 10 6 21] [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_cls/biases [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,510 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,511 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [126], value = [ 3.9370626e-01 -6.5083266e-05 -4.3683348e-04 6.9418857e-03 4.7685434e-03 -7.0538702e-03 -2.15... [ 2020-02-19 17:54:33,512 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,512 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_cls/biases/read [ 2020-02-19 17:54:33,512 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,512 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,513 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [126], value = [ 3.9370626e-01 -6.5083266e-05 -4.3683348e-04 6.9418857e-03 4.7685434e-03 -7.0538702e-03 -2.15... [ 2020-02-19 17:54:33,513 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,514 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [126], value = [ 3.9370626e-01 -6.5083266e-05 -4.3683348e-04 6.9418857e-03 4.7685434e-03 -7.0538702e-03 -2.15... [ 2020-02-19 17:54:33,514 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,514 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_cls/weights [ 2020-02-19 17:54:33,514 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,514 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,514 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,517 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 126], value = [[[[ 8.7447022e-04 -5.1409407e-03 -6.5829400e-03 ... 5.4762955e-03 -3.6280982e-03 -1.4963845... [ 2020-02-19 17:54:33,517 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,517 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_cls/weights/read [ 2020-02-19 17:54:33,517 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,517 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,519 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 126], value = [[[[ 8.7447022e-04 -5.1409407e-03 -6.5829400e-03 ... 5.4762955e-03 -3.6280982e-03 -1.4963845... [ 2020-02-19 17:54:33,520 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 126], value = [[[[ 8.7447022e-04 -5.1409407e-03 -6.5829400e-03 ... 5.4762955e-03 -3.6280982e-03 -1.4963845... [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/Reshape/shape [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 10 10 6 4] [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_loc/biases [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,523 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,524 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,524 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [24], value = [ 0.04861461 0.03038937 -0.05327388 0.07233331 0.06398769 0.03850815 -0.05698001 0.05816739... [ 2020-02-19 17:54:33,524 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,524 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_loc/biases/read [ 2020-02-19 17:54:33,524 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,524 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,525 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [24], value = [ 0.04861461 0.03038937 -0.05327388 0.07233331 0.06398769 0.03850815 -0.05698001 0.05816739... [ 2020-02-19 17:54:33,525 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,525 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [24], value = [ 0.04861461 0.03038937 -0.05327388 0.07233331 0.06398769 0.03850815 -0.05698001 0.05816739... [ 2020-02-19 17:54:33,525 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,525 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_loc/weights [ 2020-02-19 17:54:33,525 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,525 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,526 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,528 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 24], value = [[[[-6.11032732e-03 -8.11367575e-03 -1.37368625e-03 ... 8.45211744e-03 1.83709373e-03 -1.21... [ 2020-02-19 17:54:33,528 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,528 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8_box/conv_loc/weights/read [ 2020-02-19 17:54:33,528 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,528 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,531 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 24], value = [[[[-6.11032732e-03 -8.11367575e-03 -1.37368625e-03 ... 8.45211744e-03 1.83709373e-03 -1.21... [ 2020-02-19 17:54:33,531 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 24], value = [[[[-6.11032732e-03 -8.11367575e-03 -1.37368625e-03 ... 8.45211744e-03 1.83709373e-03 -1.21... [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_1/Shape [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 19 19 6 21] [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax_1/Reshape/shape [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,534 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [-1 21] [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/Reshape_1/shape [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 19 19 6 21] [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,535 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_cls/biases [ 2020-02-19 17:54:33,536 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,536 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,536 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,537 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [126], value = [ 6.68822944e-01 -8.11216608e-03 -5.58082433e-03 -1.27386220e-03 6.68521388e-04 -7.54568400e-03... [ 2020-02-19 17:54:33,537 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,537 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_cls/biases/read [ 2020-02-19 17:54:33,537 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,537 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,538 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [126], value = [ 6.68822944e-01 -8.11216608e-03 -5.58082433e-03 -1.27386220e-03 6.68521388e-04 -7.54568400e-03... [ 2020-02-19 17:54:33,538 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,539 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [126], value = [ 6.68822944e-01 -8.11216608e-03 -5.58082433e-03 -1.27386220e-03 6.68521388e-04 -7.54568400e-03... [ 2020-02-19 17:54:33,539 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,539 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_cls/weights [ 2020-02-19 17:54:33,539 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,539 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,540 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,542 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 1024 126], value = [[[[ 4.19636304e-03 -1.77183014e-03 -2.70433468e-03 ... -4.20057774e-03 2.36925483e-03 -2.11... [ 2020-02-19 17:54:33,542 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,542 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_cls/weights/read [ 2020-02-19 17:54:33,542 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,542 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,545 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 1024 126], value = [[[[ 4.19636304e-03 -1.77183014e-03 -2.70433468e-03 ... -4.20057774e-03 2.36925483e-03 -2.11... [ 2020-02-19 17:54:33,546 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,548 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 1024 126], value = [[[[ 4.19636304e-03 -1.77183014e-03 -2.70433468e-03 ... -4.20057774e-03 2.36925483e-03 -2.11... [ 2020-02-19 17:54:33,548 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,548 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/Reshape/shape [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 19 19 6 4] [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_loc/biases [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,549 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,550 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [24], value = [ 0.01669011 -0.01711131 -0.06396326 0.02742358 0.02955474 0.00260526 -0.11409071 0.07193653... [ 2020-02-19 17:54:33,550 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,550 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_loc/biases/read [ 2020-02-19 17:54:33,550 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,550 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,550 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [24], value = [ 0.01669011 -0.01711131 -0.06396326 0.02742358 0.02955474 0.00260526 -0.11409071 0.07193653... [ 2020-02-19 17:54:33,550 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,551 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [24], value = [ 0.01669011 -0.01711131 -0.06396326 0.02742358 0.02955474 0.00260526 -0.11409071 0.07193653... [ 2020-02-19 17:54:33,551 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,551 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_loc/weights [ 2020-02-19 17:54:33,551 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,551 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,551 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,554 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 1024 24], value = [[[[-7.50792504e-04 3.27375368e-03 -2.21608672e-03 ... 5.90240490e-03 -1.19924452e-03 1.17... [ 2020-02-19 17:54:33,554 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,554 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block7_box/conv_loc/weights/read [ 2020-02-19 17:54:33,554 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,554 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,556 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 1024 24], value = [[[[-7.50792504e-04 3.27375368e-03 -2.21608672e-03 ... 5.90240490e-03 -1.19924452e-03 1.17... [ 2020-02-19 17:54:33,557 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,559 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 1024 24], value = [[[[-7.50792504e-04 3.27375368e-03 -2.21608672e-03 ... 5.90240490e-03 -1.19924452e-03 1.17... [ 2020-02-19 17:54:33,559 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,559 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax/Shape [ 2020-02-19 17:54:33,559 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,559 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 38 38 4 21] [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/softmax/Reshape/shape [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [-1 21] [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/Reshape_1/shape [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,560 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,561 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,561 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 38 38 4 21] [ 2020-02-19 17:54:33,561 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,561 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_cls/biases [ 2020-02-19 17:54:33,561 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,561 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,561 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,562 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [84], value = [ 3.3083146e+00 -4.6581466e-02 -3.9352588e-02 -1.3520637e-02 -3.7334036e-02 -3.1469047e-02 -5.74... [ 2020-02-19 17:54:33,562 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,562 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_cls/biases/read [ 2020-02-19 17:54:33,562 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,562 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,563 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [84], value = [ 3.3083146e+00 -4.6581466e-02 -3.9352588e-02 -1.3520637e-02 -3.7334036e-02 -3.1469047e-02 -5.74... [ 2020-02-19 17:54:33,563 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,564 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [84], value = [ 3.3083146e+00 -4.6581466e-02 -3.9352588e-02 -1.3520637e-02 -3.7334036e-02 -3.1469047e-02 -5.74... [ 2020-02-19 17:54:33,564 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,564 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_cls/weights [ 2020-02-19 17:54:33,564 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,564 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,564 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,567 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 84], value = [[[[-7.93947140e-04 2.19815131e-03 1.00509347e-02 ... -6.71883021e-03 4.08244599e-03 1.34... [ 2020-02-19 17:54:33,567 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,567 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_cls/weights/read [ 2020-02-19 17:54:33,567 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,567 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,570 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 84], value = [[[[-7.93947140e-04 2.19815131e-03 1.00509347e-02 ... -6.71883021e-03 4.08244599e-03 1.34... [ 2020-02-19 17:54:33,570 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 84], value = [[[[-7.93947140e-04 2.19815131e-03 1.00509347e-02 ... -6.71883021e-03 4.08244599e-03 1.34... [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/Reshape/shape [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [5], value = [ 1 38 38 4 4] [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_loc/biases [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,573 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,574 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [16], value = [ 0.03270938 0.03403229 -0.25768456 -0.13849366 0.03608225 0.0483259 -0.08842025 0.01069174 ... [ 2020-02-19 17:54:33,574 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,574 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_loc/biases/read [ 2020-02-19 17:54:33,574 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,574 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,574 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [16], value = [ 0.03270938 0.03403229 -0.25768456 -0.13849366 0.03608225 0.0483259 -0.08842025 0.01069174 ... [ 2020-02-19 17:54:33,574 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,575 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [16], value = [ 0.03270938 0.03403229 -0.25768456 -0.13849366 0.03608225 0.0483259 -0.08842025 0.01069174 ... [ 2020-02-19 17:54:33,575 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,575 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_loc/weights [ 2020-02-19 17:54:33,575 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,575 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,575 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,578 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 16], value = [[[[-6.22062385e-03 -8.97891726e-03 9.31542926e-03 ... -1.46248529e-03 -9.78018437e-03 -1.36... [ 2020-02-19 17:54:33,578 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,578 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/conv_loc/weights/read [ 2020-02-19 17:54:33,578 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,578 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,580 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 16], value = [[[[-6.22062385e-03 -8.97891726e-03 9.31542926e-03 ... -1.46248529e-03 -9.78018437e-03 -1.36... [ 2020-02-19 17:54:33,581 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,583 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 16], value = [[[[-6.22062385e-03 -8.97891726e-03 9.31542926e-03 ... -1.46248529e-03 -9.78018437e-03 -1.36... [ 2020-02-19 17:54:33,583 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,583 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/L2Normalization/gamma [ 2020-02-19 17:54:33,583 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,583 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,584 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,587 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [4.6774874 4.666684 4.6915007 4.6886225 4.699292 4.7783327 4.670682 4.7177978 4.672791 4.7280... [ 2020-02-19 17:54:33,587 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,587 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/L2Normalization/gamma/read [ 2020-02-19 17:54:33,587 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,587 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,590 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [4.6774874 4.666684 4.6915007 4.6886225 4.699292 4.7783327 4.670682 4.7177978 4.672791 4.7280... [ 2020-02-19 17:54:33,590 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [4.6774874 4.666684 4.6915007 4.6886225 4.699292 4.7783327 4.670682 4.7177978 4.672791 4.7280... [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/L2Normalization/l2_normalize/Maximum/y [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 1e-12 [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/L2Normalization/range/delta [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,594 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 1 [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/L2Normalization/range/limit [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 4 [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/L2Normalization/range/start [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 3 [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block4_box/L2Normalization/range [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:130 ] Op: Range [ 2020-02-19 17:54:33,595 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [], value = 3 [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:31 ] input[1]: shape = [], value = 4 [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:31 ] input[2]: shape = [], value = 1 [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [1], value = [3] [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv3x3/biases [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,596 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,598 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [-4.59440239e-03 3.43545862e-02 -1.68970189e-04 -1.05291298e-02 -7.01352837e-04 1.45394748e-04... [ 2020-02-19 17:54:33,599 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,599 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv3x3/biases/read [ 2020-02-19 17:54:33,599 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,599 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,601 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [256], value = [-4.59440239e-03 3.43545862e-02 -1.68970189e-04 -1.05291298e-02 -7.01352837e-04 1.45394748e-04... [ 2020-02-19 17:54:33,601 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,602 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [-4.59440239e-03 3.43545862e-02 -1.68970189e-04 -1.05291298e-02 -7.01352837e-04 1.45394748e-04... [ 2020-02-19 17:54:33,603 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,603 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv3x3/weights [ 2020-02-19 17:54:33,603 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,603 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,603 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,605 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[ 0.01728328 -0.01207367 -0.01109125 ... -0.0043317 -0.0055849 -0.00830145] [-0.011590... [ 2020-02-19 17:54:33,605 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,605 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv3x3/weights/read [ 2020-02-19 17:54:33,605 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,605 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,608 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 128 256], value = [[[[ 0.01728328 -0.01207367 -0.01109125 ... -0.0043317 -0.0055849 -0.00830145] [-0.011590... [ 2020-02-19 17:54:33,608 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,611 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[ 0.01728328 -0.01207367 -0.01109125 ... -0.0043317 -0.0055849 -0.00830145] [-0.011590... [ 2020-02-19 17:54:33,611 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,611 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv1x1/biases [ 2020-02-19 17:54:33,611 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,611 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,611 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,612 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [ 7.26669421e-03 2.86831893e-02 1.94727890e-02 2.48085950e-02 2.91653611e-02 2.67375372e-02... [ 2020-02-19 17:54:33,612 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,612 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv1x1/biases/read [ 2020-02-19 17:54:33,612 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,612 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,614 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [128], value = [ 7.26669421e-03 2.86831893e-02 1.94727890e-02 2.48085950e-02 2.91653611e-02 2.67375372e-02... [ 2020-02-19 17:54:33,614 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,615 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [ 7.26669421e-03 2.86831893e-02 1.94727890e-02 2.48085950e-02 2.91653611e-02 2.67375372e-02... [ 2020-02-19 17:54:33,615 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,615 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv1x1/weights [ 2020-02-19 17:54:33,615 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,615 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,615 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,616 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 256 128], value = [[[[ 0.04396586 -0.00661295 0.01111623 ... -0.00212918 -0.02247181 -0.01407915] [-0.02429... [ 2020-02-19 17:54:33,616 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,616 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block11/conv1x1/weights/read [ 2020-02-19 17:54:33,616 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,616 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,617 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 1 256 128], value = [[[[ 0.04396586 -0.00661295 0.01111623 ... -0.00212918 -0.02247181 -0.01407915] [-0.02429... [ 2020-02-19 17:54:33,617 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,618 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 256 128], value = [[[[ 0.04396586 -0.00661295 0.01111623 ... -0.00212918 -0.02247181 -0.01407915] [-0.02429... [ 2020-02-19 17:54:33,618 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,618 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv3x3/biases [ 2020-02-19 17:54:33,618 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,618 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,618 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,620 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 5.17442673e-02 2.65846625e-02 5.51207624e-02 6.44025812e-03 1.02623608e-02 3.67554203e-02... [ 2020-02-19 17:54:33,620 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,620 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv3x3/biases/read [ 2020-02-19 17:54:33,620 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,620 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,622 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [256], value = [ 5.17442673e-02 2.65846625e-02 5.51207624e-02 6.44025812e-03 1.02623608e-02 3.67554203e-02... [ 2020-02-19 17:54:33,622 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,624 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 5.17442673e-02 2.65846625e-02 5.51207624e-02 6.44025812e-03 1.02623608e-02 3.67554203e-02... [ 2020-02-19 17:54:33,624 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,624 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv3x3/weights [ 2020-02-19 17:54:33,624 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,624 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,624 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,627 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[-0.00649652 -0.00041988 -0.00506852 ... 0.00721043 -0.00267687 -0.00402712] [-0.00457... [ 2020-02-19 17:54:33,627 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,627 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv3x3/weights/read [ 2020-02-19 17:54:33,627 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,627 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,629 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 128 256], value = [[[[-0.00649652 -0.00041988 -0.00506852 ... 0.00721043 -0.00267687 -0.00402712] [-0.00457... [ 2020-02-19 17:54:33,630 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,632 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[-0.00649652 -0.00041988 -0.00506852 ... 0.00721043 -0.00267687 -0.00402712] [-0.00457... [ 2020-02-19 17:54:33,632 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,632 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv1x1/biases [ 2020-02-19 17:54:33,632 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,632 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,633 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,634 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [ 1.50581785e-02 -5.15197497e-03 1.15858251e-03 3.60681675e-02 9.90203815e-04 -3.74647719e-03... [ 2020-02-19 17:54:33,634 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,634 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv1x1/biases/read [ 2020-02-19 17:54:33,634 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,634 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,635 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [128], value = [ 1.50581785e-02 -5.15197497e-03 1.15858251e-03 3.60681675e-02 9.90203815e-04 -3.74647719e-03... [ 2020-02-19 17:54:33,635 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,636 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [ 1.50581785e-02 -5.15197497e-03 1.15858251e-03 3.60681675e-02 9.90203815e-04 -3.74647719e-03... [ 2020-02-19 17:54:33,636 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,636 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv1x1/weights [ 2020-02-19 17:54:33,636 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,636 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,636 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,637 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 256 128], value = [[[[ 0.00941038 -0.02917437 -0.04097822 ... 0.07763683 -0.00586366 -0.02263748] [ 0.02047... [ 2020-02-19 17:54:33,637 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,637 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block10/conv1x1/weights/read [ 2020-02-19 17:54:33,637 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,637 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,638 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 1 256 128], value = [[[[ 0.00941038 -0.02917437 -0.04097822 ... 0.07763683 -0.00586366 -0.02263748] [ 0.02047... [ 2020-02-19 17:54:33,638 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,638 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 256 128], value = [[[[ 0.00941038 -0.02917437 -0.04097822 ... 0.07763683 -0.00586366 -0.02263748] [ 0.02047... [ 2020-02-19 17:54:33,639 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,639 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv3x3/biases [ 2020-02-19 17:54:33,639 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,639 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,639 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,641 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 1.83989275e-02 3.80516838e-04 -6.04582427e-04 -7.88161997e-03 -5.14113484e-03 -1.02738291e-02... [ 2020-02-19 17:54:33,641 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,641 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv3x3/biases/read [ 2020-02-19 17:54:33,641 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,641 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,643 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [256], value = [ 1.83989275e-02 3.80516838e-04 -6.04582427e-04 -7.88161997e-03 -5.14113484e-03 -1.02738291e-02... [ 2020-02-19 17:54:33,643 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,645 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 1.83989275e-02 3.80516838e-04 -6.04582427e-04 -7.88161997e-03 -5.14113484e-03 -1.02738291e-02... [ 2020-02-19 17:54:33,645 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,645 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv3x3/weights [ 2020-02-19 17:54:33,645 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,645 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,645 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,648 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[ 2.69447826e-03 6.49559731e-03 -1.13989282e-02 ... 9.96468216e-03 -2.08302215e-02 -4.25... [ 2020-02-19 17:54:33,648 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,648 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv3x3/weights/read [ 2020-02-19 17:54:33,648 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,648 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,651 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 128 256], value = [[[[ 2.69447826e-03 6.49559731e-03 -1.13989282e-02 ... 9.96468216e-03 -2.08302215e-02 -4.25... [ 2020-02-19 17:54:33,651 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,653 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[ 2.69447826e-03 6.49559731e-03 -1.13989282e-02 ... 9.96468216e-03 -2.08302215e-02 -4.25... [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/pad2d/Pad/paddings [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [4 2], value = [[0 0] [1 1] [1 1] [0 0]] [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv1x1/biases [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,654 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,655 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [ 3.01855002e-02 2.90219896e-02 3.96585278e-02 -3.03659514e-02 2.70567238e-02 1.62914535e-03... [ 2020-02-19 17:54:33,656 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,656 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv1x1/biases/read [ 2020-02-19 17:54:33,656 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,656 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,657 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [128], value = [ 3.01855002e-02 2.90219896e-02 3.96585278e-02 -3.03659514e-02 2.70567238e-02 1.62914535e-03... [ 2020-02-19 17:54:33,657 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,658 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [ 3.01855002e-02 2.90219896e-02 3.96585278e-02 -3.03659514e-02 2.70567238e-02 1.62914535e-03... [ 2020-02-19 17:54:33,658 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,658 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv1x1/weights [ 2020-02-19 17:54:33,658 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,658 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,658 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,659 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 512 128], value = [[[[-0.04254329 -0.00284762 0.00719736 ... -0.01972326 -0.00054195 -0.01096022] [-0.01017... [ 2020-02-19 17:54:33,659 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,659 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block9/conv1x1/weights/read [ 2020-02-19 17:54:33,659 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,659 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,659 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 1 512 128], value = [[[[-0.04254329 -0.00284762 0.00719736 ... -0.01972326 -0.00054195 -0.01096022] [-0.01017... [ 2020-02-19 17:54:33,660 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,660 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 512 128], value = [[[[-0.04254329 -0.00284762 0.00719736 ... -0.01972326 -0.00054195 -0.01096022] [-0.01017... [ 2020-02-19 17:54:33,660 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,660 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv3x3/biases [ 2020-02-19 17:54:33,660 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,660 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,661 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,664 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 3.68860513e-02 1.66304201e-01 7.38588721e-03 -2.28675734e-02 9.01886523e-02 -1.29459910e-02... [ 2020-02-19 17:54:33,664 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,664 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv3x3/biases/read [ 2020-02-19 17:54:33,664 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,664 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,668 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [ 3.68860513e-02 1.66304201e-01 7.38588721e-03 -2.28675734e-02 9.01886523e-02 -1.29459910e-02... [ 2020-02-19 17:54:33,668 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,671 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 3.68860513e-02 1.66304201e-01 7.38588721e-03 -2.28675734e-02 9.01886523e-02 -1.29459910e-02... [ 2020-02-19 17:54:33,671 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,671 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv3x3/weights [ 2020-02-19 17:54:33,671 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,671 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,671 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,674 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 512], value = [[[[-2.42505712e-03 8.91634636e-03 9.72638279e-03 ... -5.36609732e-04 4.34330851e-03 -1.09... [ 2020-02-19 17:54:33,674 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,674 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv3x3/weights/read [ 2020-02-19 17:54:33,674 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,674 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,676 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 512], value = [[[[-2.42505712e-03 8.91634636e-03 9.72638279e-03 ... -5.36609732e-04 4.34330851e-03 -1.09... [ 2020-02-19 17:54:33,678 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,681 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 512], value = [[[[-2.42505712e-03 8.91634636e-03 9.72638279e-03 ... -5.36609732e-04 4.34330851e-03 -1.09... [ 2020-02-19 17:54:33,681 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,681 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/pad2d/Pad/paddings [ 2020-02-19 17:54:33,681 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,681 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,681 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,682 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [4 2], value = [[0 0] [1 1] [1 1] [0 0]] [ 2020-02-19 17:54:33,682 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,682 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv1x1/biases [ 2020-02-19 17:54:33,682 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,682 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,682 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,684 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 1.01981327e-01 3.17513570e-02 2.42129982e-01 3.82814324e-03 1.86470505e-02 1.10329157e-02... [ 2020-02-19 17:54:33,684 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,684 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv1x1/biases/read [ 2020-02-19 17:54:33,684 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,684 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,686 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [256], value = [ 1.01981327e-01 3.17513570e-02 2.42129982e-01 3.82814324e-03 1.86470505e-02 1.10329157e-02... [ 2020-02-19 17:54:33,686 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,688 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 1.01981327e-01 3.17513570e-02 2.42129982e-01 3.82814324e-03 1.86470505e-02 1.10329157e-02... [ 2020-02-19 17:54:33,688 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,688 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv1x1/weights [ 2020-02-19 17:54:33,688 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,688 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,688 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,688 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 1024 256], value = [[[[-3.73265648e-04 -1.12922897e-03 -3.41168582e-03 ... -1.85805222e-03 1.30486093e-03 -1.24... [ 2020-02-19 17:54:33,689 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,689 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/block8/conv1x1/weights/read [ 2020-02-19 17:54:33,689 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,689 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,689 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 1 1024 256], value = [[[[-3.73265648e-04 -1.12922897e-03 -3.41168582e-03 ... -1.85805222e-03 1.30486093e-03 -1.24... [ 2020-02-19 17:54:33,690 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,690 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 1024 256], value = [[[[-3.73265648e-04 -1.12922897e-03 -3.41168582e-03 ... -1.85805222e-03 1.30486093e-03 -1.24... [ 2020-02-19 17:54:33,690 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv7/biases [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [1024], value = [0.6425739 0.6430674 0.71005774 ... 0.5200922 0.48734412 0.01853434] [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv7/biases/read [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,691 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [1024], value = [0.6425739 0.6430674 0.71005774 ... 0.5200922 0.48734412 0.01853434] [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [1024], value = [0.6425739 0.6430674 0.71005774 ... 0.5200922 0.48734412 0.01853434] [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv7/weights [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,692 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,693 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 1024 1024], value = [[[[-0.00047276 0.00227096 -0.00422104 ... 0.0042318 0.00192697 -0.00515499] [-0.00350... [ 2020-02-19 17:54:33,693 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,693 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv7/weights/read [ 2020-02-19 17:54:33,693 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,693 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,694 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 1 1024 1024], value = [[[[-0.00047276 0.00227096 -0.00422104 ... 0.0042318 0.00192697 -0.00515499] [-0.00350... [ 2020-02-19 17:54:33,695 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 1024 1024], value = [[[[-0.00047276 0.00227096 -0.00422104 ... 0.0042318 0.00192697 -0.00515499] [-0.00350... [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/BatchToSpaceND/crops [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2 2], value = [[0 5] [0 5]] [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/BatchToSpaceND/block_shape [ 2020-02-19 17:54:33,696 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [6 6] [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/SpaceToBatchND/paddings [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,697 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2 2], value = [[ 6 11] [ 6 11]] [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/SpaceToBatchND/block_shape [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [6 6] [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/biases [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,698 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,699 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [1024], value = [-0.19254407 -0.2481365 -0.05322817 ... 0.23007663 0.21874294 0.0600737 ] [ 2020-02-19 17:54:33,699 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,699 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/biases/read [ 2020-02-19 17:54:33,699 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,699 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,699 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [1024], value = [-0.19254407 -0.2481365 -0.05322817 ... 0.23007663 0.21874294 0.0600737 ] [ 2020-02-19 17:54:33,699 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,700 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [1024], value = [-0.19254407 -0.2481365 -0.05322817 ... 0.23007663 0.21874294 0.0600737 ] [ 2020-02-19 17:54:33,700 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,700 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/weights [ 2020-02-19 17:54:33,700 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,700 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,700 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,703 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 1024], value = [[[[-9.34390118e-04 1.69009017e-03 7.65482837e-04 ... -1.00992003e-03 2.55285879e-04 9.32... [ 2020-02-19 17:54:33,703 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,703 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv6/weights/read [ 2020-02-19 17:54:33,703 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,703 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,705 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 1024], value = [[[[-9.34390118e-04 1.69009017e-03 7.65482837e-04 ... -1.00992003e-03 2.55285879e-04 9.32... [ 2020-02-19 17:54:33,711 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,713 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 1024], value = [[[[-9.34390118e-04 1.69009017e-03 7.65482837e-04 ... -1.00992003e-03 2.55285879e-04 9.32... [ 2020-02-19 17:54:33,714 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,714 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_3/biases [ 2020-02-19 17:54:33,714 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,714 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,714 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,717 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 2.00458407e-01 -5.11680603e-01 5.54638088e-01 2.60359228e-01 1.59714103e-01 -2.35708848e-01... [ 2020-02-19 17:54:33,717 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,718 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_3/biases/read [ 2020-02-19 17:54:33,718 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,718 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,721 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [ 2.00458407e-01 -5.11680603e-01 5.54638088e-01 2.60359228e-01 1.59714103e-01 -2.35708848e-01... [ 2020-02-19 17:54:33,721 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,724 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 2.00458407e-01 -5.11680603e-01 5.54638088e-01 2.60359228e-01 1.59714103e-01 -2.35708848e-01... [ 2020-02-19 17:54:33,724 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,724 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_3/weights [ 2020-02-19 17:54:33,724 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,724 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,725 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,727 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[ 5.94269903e-03 7.54272216e-04 -3.94025538e-03 ... 6.31552981e-03 5.48860338e-03 -3.41... [ 2020-02-19 17:54:33,727 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,727 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_3/weights/read [ 2020-02-19 17:54:33,727 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,727 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,730 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 512], value = [[[[ 5.94269903e-03 7.54272216e-04 -3.94025538e-03 ... 6.31552981e-03 5.48860338e-03 -3.41... [ 2020-02-19 17:54:33,733 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,736 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[ 5.94269903e-03 7.54272216e-04 -3.94025538e-03 ... 6.31552981e-03 5.48860338e-03 -3.41... [ 2020-02-19 17:54:33,736 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,736 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_2/biases [ 2020-02-19 17:54:33,736 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,736 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,736 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,739 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 2.14358181e-01 2.76833355e-01 1.53404698e-02 -2.52722949e-03 2.65977263e-01 -9.38957483e-02... [ 2020-02-19 17:54:33,739 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,740 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_2/biases/read [ 2020-02-19 17:54:33,740 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,740 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,743 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [ 2.14358181e-01 2.76833355e-01 1.53404698e-02 -2.52722949e-03 2.65977263e-01 -9.38957483e-02... [ 2020-02-19 17:54:33,743 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,746 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 2.14358181e-01 2.76833355e-01 1.53404698e-02 -2.52722949e-03 2.65977263e-01 -9.38957483e-02... [ 2020-02-19 17:54:33,746 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,747 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_2/weights [ 2020-02-19 17:54:33,747 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,747 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,747 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,749 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[-8.68916570e-04 -2.39409017e-03 6.46646647e-03 ... 1.48152863e-03 -1.75132963e-03 -1.82... [ 2020-02-19 17:54:33,749 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,750 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_2/weights/read [ 2020-02-19 17:54:33,750 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,750 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,752 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 512], value = [[[[-8.68916570e-04 -2.39409017e-03 6.46646647e-03 ... 1.48152863e-03 -1.75132963e-03 -1.82... [ 2020-02-19 17:54:33,755 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,758 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[-8.68916570e-04 -2.39409017e-03 6.46646647e-03 ... 1.48152863e-03 -1.75132963e-03 -1.82... [ 2020-02-19 17:54:33,758 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,758 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_1/biases [ 2020-02-19 17:54:33,758 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,758 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,758 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,761 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 1.13786891e-01 -8.62625316e-02 1.61962077e-01 1.34276882e-01 -7.39579648e-02 -2.10255887e-02... [ 2020-02-19 17:54:33,762 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,762 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_1/biases/read [ 2020-02-19 17:54:33,762 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,762 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,765 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [ 1.13786891e-01 -8.62625316e-02 1.61962077e-01 1.34276882e-01 -7.39579648e-02 -2.10255887e-02... [ 2020-02-19 17:54:33,765 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,768 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 1.13786891e-01 -8.62625316e-02 1.61962077e-01 1.34276882e-01 -7.39579648e-02 -2.10255887e-02... [ 2020-02-19 17:54:33,769 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,769 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_1/weights [ 2020-02-19 17:54:33,769 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,769 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,769 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,771 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[ 1.64953433e-02 1.64748263e-03 1.65591307e-03 ... 2.53746082e-04 -1.57728372e-03 4.68... [ 2020-02-19 17:54:33,771 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,772 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv5/conv5_1/weights/read [ 2020-02-19 17:54:33,772 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,772 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,774 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 512], value = [[[[ 1.64953433e-02 1.64748263e-03 1.65591307e-03 ... 2.53746082e-04 -1.57728372e-03 4.68... [ 2020-02-19 17:54:33,778 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,780 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[ 1.64953433e-02 1.64748263e-03 1.65591307e-03 ... 2.53746082e-04 -1.57728372e-03 4.68... [ 2020-02-19 17:54:33,780 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,780 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_3/biases [ 2020-02-19 17:54:33,780 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,780 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,781 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,784 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 3.85206081e-02 1.95619669e-02 4.77974862e-02 -9.94305965e-03 1.87554106e-01 1.31618515e-01... [ 2020-02-19 17:54:33,784 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,785 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_3/biases/read [ 2020-02-19 17:54:33,785 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,785 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,788 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [ 3.85206081e-02 1.95619669e-02 4.77974862e-02 -9.94305965e-03 1.87554106e-01 1.31618515e-01... [ 2020-02-19 17:54:33,788 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,792 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 3.85206081e-02 1.95619669e-02 4.77974862e-02 -9.94305965e-03 1.87554106e-01 1.31618515e-01... [ 2020-02-19 17:54:33,792 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,792 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_3/weights [ 2020-02-19 17:54:33,792 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,792 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,792 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,794 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[ 1.15644152e-03 1.53963722e-03 -8.07441864e-03 ... -1.11750350e-03 -3.71367042e-03 9.07... [ 2020-02-19 17:54:33,794 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,795 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_3/weights/read [ 2020-02-19 17:54:33,795 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,795 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,797 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 512], value = [[[[ 1.15644152e-03 1.53963722e-03 -8.07441864e-03 ... -1.11750350e-03 -3.71367042e-03 9.07... [ 2020-02-19 17:54:33,801 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,803 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[ 1.15644152e-03 1.53963722e-03 -8.07441864e-03 ... -1.11750350e-03 -3.71367042e-03 9.07... [ 2020-02-19 17:54:33,804 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,804 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_2/biases [ 2020-02-19 17:54:33,804 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,804 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,804 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,807 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 2.39244308e-02 5.01595251e-02 9.13032331e-03 -1.16222529e-02 6.24382645e-02 -3.85158733e-02... [ 2020-02-19 17:54:33,808 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,808 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_2/biases/read [ 2020-02-19 17:54:33,808 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,808 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,811 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [ 2.39244308e-02 5.01595251e-02 9.13032331e-03 -1.16222529e-02 6.24382645e-02 -3.85158733e-02... [ 2020-02-19 17:54:33,811 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,815 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 2.39244308e-02 5.01595251e-02 9.13032331e-03 -1.16222529e-02 6.24382645e-02 -3.85158733e-02... [ 2020-02-19 17:54:33,815 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,815 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_2/weights [ 2020-02-19 17:54:33,815 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,815 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,815 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,818 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[-1.22318580e-03 3.27792345e-03 2.76074512e-03 ... 2.36341935e-02 1.16462205e-02 -8.43... [ 2020-02-19 17:54:33,818 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,818 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_2/weights/read [ 2020-02-19 17:54:33,818 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,818 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,821 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 512 512], value = [[[[-1.22318580e-03 3.27792345e-03 2.76074512e-03 ... 2.36341935e-02 1.16462205e-02 -8.43... [ 2020-02-19 17:54:33,824 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,827 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 512 512], value = [[[[-1.22318580e-03 3.27792345e-03 2.76074512e-03 ... 2.36341935e-02 1.16462205e-02 -8.43... [ 2020-02-19 17:54:33,827 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,827 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_1/biases [ 2020-02-19 17:54:33,827 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,827 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,827 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,830 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 1.52082620e-02 6.25251932e-03 7.26381466e-02 4.83231917e-02 1.35719206e-03 2.01435059e-01... [ 2020-02-19 17:54:33,831 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,831 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_1/biases/read [ 2020-02-19 17:54:33,831 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,831 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,834 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [512], value = [ 1.52082620e-02 6.25251932e-03 7.26381466e-02 4.83231917e-02 1.35719206e-03 2.01435059e-01... [ 2020-02-19 17:54:33,834 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,838 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [512], value = [ 1.52082620e-02 6.25251932e-03 7.26381466e-02 4.83231917e-02 1.35719206e-03 2.01435059e-01... [ 2020-02-19 17:54:33,838 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,838 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_1/weights [ 2020-02-19 17:54:33,838 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,838 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,838 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,840 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 512], value = [[[[-1.81272235e-02 8.77438113e-03 1.49397040e-02 ... 6.61602942e-03 -1.82932371e-03 4.81... [ 2020-02-19 17:54:33,841 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,841 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv4/conv4_1/weights/read [ 2020-02-19 17:54:33,841 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,841 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,843 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 512], value = [[[[-1.81272235e-02 8.77438113e-03 1.49397040e-02 ... 6.61602942e-03 -1.82932371e-03 4.81... [ 2020-02-19 17:54:33,844 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,847 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 512], value = [[[[-1.81272235e-02 8.77438113e-03 1.49397040e-02 ... 6.61602942e-03 -1.82932371e-03 4.81... [ 2020-02-19 17:54:33,847 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,847 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_3/biases [ 2020-02-19 17:54:33,847 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,847 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,847 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,849 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 3.28167118e-02 1.11373760e-01 -1.86766256e-02 4.63478230e-02 -6.58818558e-02 4.07321863e-02... [ 2020-02-19 17:54:33,850 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,850 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_3/biases/read [ 2020-02-19 17:54:33,850 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,850 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,852 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [256], value = [ 3.28167118e-02 1.11373760e-01 -1.86766256e-02 4.63478230e-02 -6.58818558e-02 4.07321863e-02... [ 2020-02-19 17:54:33,852 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,853 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 3.28167118e-02 1.11373760e-01 -1.86766256e-02 4.63478230e-02 -6.58818558e-02 4.07321863e-02... [ 2020-02-19 17:54:33,854 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,854 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_3/weights [ 2020-02-19 17:54:33,854 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,854 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,854 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,856 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 256], value = [[[[ 9.12346819e-04 -2.00741701e-02 -3.85388080e-03 ... 7.55894603e-03 -4.38223826e-03 3.13... [ 2020-02-19 17:54:33,856 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,856 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_3/weights/read [ 2020-02-19 17:54:33,856 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,857 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,859 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 256], value = [[[[ 9.12346819e-04 -2.00741701e-02 -3.85388080e-03 ... 7.55894603e-03 -4.38223826e-03 3.13... [ 2020-02-19 17:54:33,860 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,862 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 256], value = [[[[ 9.12346819e-04 -2.00741701e-02 -3.85388080e-03 ... 7.55894603e-03 -4.38223826e-03 3.13... [ 2020-02-19 17:54:33,863 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,863 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_2/biases [ 2020-02-19 17:54:33,863 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,863 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,863 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,865 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 0.02442608 0.00220486 0.09495987 0.1312654 0.19861683 0.0954506 0.06906065 -0.00948786 ... [ 2020-02-19 17:54:33,865 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,865 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_2/biases/read [ 2020-02-19 17:54:33,865 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,865 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,867 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [256], value = [ 0.02442608 0.00220486 0.09495987 0.1312654 0.19861683 0.0954506 0.06906065 -0.00948786 ... [ 2020-02-19 17:54:33,867 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,869 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [ 0.02442608 0.00220486 0.09495987 0.1312654 0.19861683 0.0954506 0.06906065 -0.00948786 ... [ 2020-02-19 17:54:33,869 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,869 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_2/weights [ 2020-02-19 17:54:33,869 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,869 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,869 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,871 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 256], value = [[[[-2.07757987e-02 -4.72241221e-03 3.07397428e-03 ... -4.05124528e-03 -5.95695060e-03 -6.89... [ 2020-02-19 17:54:33,872 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,872 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_2/weights/read [ 2020-02-19 17:54:33,872 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,872 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,874 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 256 256], value = [[[[-2.07757987e-02 -4.72241221e-03 3.07397428e-03 ... -4.05124528e-03 -5.95695060e-03 -6.89... [ 2020-02-19 17:54:33,875 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,877 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 256 256], value = [[[[-2.07757987e-02 -4.72241221e-03 3.07397428e-03 ... -4.05124528e-03 -5.95695060e-03 -6.89... [ 2020-02-19 17:54:33,878 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,878 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_1/biases [ 2020-02-19 17:54:33,878 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,878 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,878 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,879 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [-8.04222822e-02 -9.17826686e-03 2.10946441e-01 6.23886511e-02 2.43868716e-02 9.97264031e-03... [ 2020-02-19 17:54:33,880 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,880 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_1/biases/read [ 2020-02-19 17:54:33,880 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,880 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,881 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [256], value = [-8.04222822e-02 -9.17826686e-03 2.10946441e-01 6.23886511e-02 2.43868716e-02 9.97264031e-03... [ 2020-02-19 17:54:33,882 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,883 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [256], value = [-8.04222822e-02 -9.17826686e-03 2.10946441e-01 6.23886511e-02 2.43868716e-02 9.97264031e-03... [ 2020-02-19 17:54:33,883 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,883 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_1/weights [ 2020-02-19 17:54:33,883 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,883 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,884 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,886 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[-2.55747093e-03 1.83363701e-03 -1.89353060e-02 ... -2.42727320e-03 4.00967983e-04 8.61... [ 2020-02-19 17:54:33,886 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,886 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv3/conv3_1/weights/read [ 2020-02-19 17:54:33,886 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,886 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,888 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 128 256], value = [[[[-2.55747093e-03 1.83363701e-03 -1.89353060e-02 ... -2.42727320e-03 4.00967983e-04 8.61... [ 2020-02-19 17:54:33,889 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,891 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 256], value = [[[[-2.55747093e-03 1.83363701e-03 -1.89353060e-02 ... -2.42727320e-03 4.00967983e-04 8.61... [ 2020-02-19 17:54:33,891 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,892 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_2/biases [ 2020-02-19 17:54:33,892 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,892 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,892 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,893 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [-0.06382693 -0.12481193 -0.13932152 0.07347593 0.2763104 -0.10949594 0.05519476 -0.02788897... [ 2020-02-19 17:54:33,893 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,893 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_2/biases/read [ 2020-02-19 17:54:33,893 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,893 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,894 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [128], value = [-0.06382693 -0.12481193 -0.13932152 0.07347593 0.2763104 -0.10949594 0.05519476 -0.02788897... [ 2020-02-19 17:54:33,894 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,895 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [-0.06382693 -0.12481193 -0.13932152 0.07347593 0.2763104 -0.10949594 0.05519476 -0.02788897... [ 2020-02-19 17:54:33,895 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,895 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_2/weights [ 2020-02-19 17:54:33,895 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,895 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,896 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,898 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 128], value = [[[[-2.02568737e-03 -4.31182934e-03 7.38088414e-03 ... 1.35999915e-04 4.78492212e-03 -9.43... [ 2020-02-19 17:54:33,898 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,899 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_2/weights/read [ 2020-02-19 17:54:33,899 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,899 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,901 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 128 128], value = [[[[-2.02568737e-03 -4.31182934e-03 7.38088414e-03 ... 1.35999915e-04 4.78492212e-03 -9.43... [ 2020-02-19 17:54:33,901 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,904 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 128 128], value = [[[[-2.02568737e-03 -4.31182934e-03 7.38088414e-03 ... 1.35999915e-04 4.78492212e-03 -9.43... [ 2020-02-19 17:54:33,904 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,904 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_1/biases [ 2020-02-19 17:54:33,904 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,904 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,904 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,905 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [-0.0478147 0.06265464 -0.03600217 0.08515035 0.13215023 0.25932315 0.17297137 0.25409922... [ 2020-02-19 17:54:33,905 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,905 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_1/biases/read [ 2020-02-19 17:54:33,905 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,905 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,906 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [128], value = [-0.0478147 0.06265464 -0.03600217 0.08515035 0.13215023 0.25932315 0.17297137 0.25409922... [ 2020-02-19 17:54:33,906 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,907 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [128], value = [-0.0478147 0.06265464 -0.03600217 0.08515035 0.13215023 0.25932315 0.17297137 0.25409922... [ 2020-02-19 17:54:33,907 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,908 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_1/weights [ 2020-02-19 17:54:33,908 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,908 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,908 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,910 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 64 128], value = [[[[-8.67649820e-03 3.72873917e-02 4.88868076e-03 ... -1.51402820e-02 6.82355603e-03 -4.20... [ 2020-02-19 17:54:33,910 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,910 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv2/conv2_1/weights/read [ 2020-02-19 17:54:33,910 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,911 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,913 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 64 128], value = [[[[-8.67649820e-03 3.72873917e-02 4.88868076e-03 ... -1.51402820e-02 6.82355603e-03 -4.20... [ 2020-02-19 17:54:33,913 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,916 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 64 128], value = [[[[-8.67649820e-03 3.72873917e-02 4.88868076e-03 ... -1.51402820e-02 6.82355603e-03 -4.20... [ 2020-02-19 17:54:33,916 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,916 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_2/biases [ 2020-02-19 17:54:33,916 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,916 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,916 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,917 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [64], value = [-0.28107512 0.37972847 0.13218145 0.09078435 0.947368 0.10138652 0.09407432 -0.24187122... [ 2020-02-19 17:54:33,917 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,917 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_2/biases/read [ 2020-02-19 17:54:33,917 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,917 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,917 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [64], value = [-0.28107512 0.37972847 0.13218145 0.09078435 0.947368 0.10138652 0.09407432 -0.24187122... [ 2020-02-19 17:54:33,918 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,918 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [64], value = [-0.28107512 0.37972847 0.13218145 0.09078435 0.947368 0.10138652 0.09407432 -0.24187122... [ 2020-02-19 17:54:33,918 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,918 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_2/weights [ 2020-02-19 17:54:33,918 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,918 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,919 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,921 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 64 64], value = [[[[ 2.52875984e-02 1.56735688e-01 -1.92927718e-02 ... 4.54405174e-02 -4.10501100e-02 -4.31... [ 2020-02-19 17:54:33,921 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,921 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_2/weights/read [ 2020-02-19 17:54:33,921 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,921 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,924 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 64 64], value = [[[[ 2.52875984e-02 1.56735688e-01 -1.92927718e-02 ... 4.54405174e-02 -4.10501100e-02 -4.31... [ 2020-02-19 17:54:33,924 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,926 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 64 64], value = [[[[ 2.52875984e-02 1.56735688e-01 -1.92927718e-02 ... 4.54405174e-02 -4.10501100e-02 -4.31... [ 2020-02-19 17:54:33,926 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,926 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_1/biases [ 2020-02-19 17:54:33,926 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,926 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,927 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,927 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [64], value = [0.9828982 0.10253528 0.06902554 1.1976843 0.33676565 0.7849323 0.0624774 0.3426419 0.920744... [ 2020-02-19 17:54:33,927 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,927 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_1/biases/read [ 2020-02-19 17:54:33,927 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,927 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,928 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [64], value = [0.9828982 0.10253528 0.06902554 1.1976843 0.33676565 0.7849323 0.0624774 0.3426419 0.920744... [ 2020-02-19 17:54:33,928 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,929 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [64], value = [0.9828982 0.10253528 0.06902554 1.1976843 0.33676565 0.7849323 0.0624774 0.3426419 0.920744... [ 2020-02-19 17:54:33,929 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,929 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_1/weights [ 2020-02-19 17:54:33,929 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,929 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,929 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,930 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 3 64], value = [[[[ 0.2787895 -0.11764085 0.02672687 ... -0.02204336 -0.04202151 0.00930963] [ 0.38942... [ 2020-02-19 17:54:33,931 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,931 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_300_vgg/conv1/conv1_1/weights/read [ 2020-02-19 17:54:33,931 ] [ DEBUG ] [ infer:130 ] Op: Identity [ 2020-02-19 17:54:33,931 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,932 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 3 3 3 64], value = [[[[ 0.2787895 -0.11764085 0.02672687 ... -0.02204336 -0.04202151 0.00930963] [ 0.38942... [ 2020-02-19 17:54:33,932 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 3 3 3 64], value = [[[[ 0.2787895 -0.11764085 0.02672687 ... -0.02204336 -0.04202151 0.00930963] [ 0.38942... [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:129 ] Partial infer for ExpandDims/dim [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 0 [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,934 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/stack [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [3], value = [300 300 3] [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/resize/size [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,935 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [2], value = [300 300] [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/ExpandDims/dim [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [], value = 0 [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/Const [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:130 ] Op: Const [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,936 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [3], value = [123. 117. 104.] [ 2020-02-19 17:54:33,937 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,937 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/sub/negate_ [ 2020-02-19 17:54:33,937 ] [ DEBUG ] [ infer:130 ] Op: Mul [ 2020-02-19 17:54:33,937 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,937 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [3], value = [123. 117. 104.] [ 2020-02-19 17:54:33,937 ] [ DEBUG ] [ infer:31 ] input[1]: shape = [], value = -1.0 [ 2020-02-19 17:54:33,937 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [3], value = [-123. -117. -104.] [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:129 ] Partial infer for Placeholder [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:130 ] Op: Parameter [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 300 300 3], value = [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/sub/add_ [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:130 ] Op: Add [ 2020-02-19 17:54:33,938 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [3], value = [-123. -117. -104.] [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:31 ] input[1]: shape = [ 1 300 300 3], value = [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 300 300 3], value = [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/ExpandDims [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:130 ] Op: Unsqueeze [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 300 300 3], value = [ 2020-02-19 17:54:33,939 ] [ DEBUG ] [ infer:31 ] input[1]: shape = [], value = 0 [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 1 300 300 3], value = [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/resize/ResizeBilinear [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:130 ] Op: Interpolate [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 1 300 300 3], value = [ 2020-02-19 17:54:33,940 ] [ DEBUG ] [ infer:31 ] input[1]: shape = [2], value = [300 300] [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:31 ] output[0]: shape = [ 1 300 300 300 3], value = [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:128 ] -------------------- [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:129 ] Partial infer for ssd_preprocessing_train/resize_image/Reshape [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:130 ] Op: Reshape [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:131 ] Inputs: [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:31 ] input[0]: shape = [ 1 300 300 300 3], value = [ 2020-02-19 17:54:33,941 ] [ DEBUG ] [ infer:31 ] input[1]: shape = [3], value = [300 300 3] [ ERROR ] Cannot infer shapes or values for node "ssd_preprocessing_train/resize_image/Reshape". [ ERROR ] Number of elements in input [ 1 300 300 300 3] and output [300, 300, 3] of reshape node ssd_preprocessing_train/resize_image/Reshape mismatch [ ERROR ] [ ERROR ] It can happen due to bug in custom shape infer function . [ ERROR ] Or because the node inputs have incorrect values/shapes. [ ERROR ] Or because input shapes are incorrect (embedded to the model or passed via --input_shape). [ 2020-02-19 17:54:33,942 ] [ DEBUG ] [ infer:196 ] Node "ssd_preprocessing_train/resize_image/Reshape" attributes: {'pb': name: "ssd_preprocessing_train/resize_image/Reshape" op: "Reshape" input: "ssd_preprocessing_train/resize_image/resize/ResizeBilinear" input: "ssd_preprocessing_train/resize_image/stack" attr { key: "T" value { type: DT_FLOAT } } attr { key: "Tshape" value { type: DT_INT32 } } , '_in_ports': {0: {'control_flow': False}, 1: {'control_flow': False}}, '_out_ports': {0: {'control_flow': False}}, 'kind': 'op', 'name': 'ssd_preprocessing_train/resize_image/Reshape', 'op': 'Reshape', 'type': 'Reshape', 'infer': , 'special_zero': False, 'reinterp_shape': True, 'in_ports_count': 2, 'out_ports_count': 1, 'dim_attrs': ['axis', 'spatial_dims', 'batch_dims', 'channel_dims'], 'shape_attrs': ['stride', 'output_shape', 'shape', 'window', 'pad'], 'IE': [('layer', [('id', . at 0x7fc8ab8e20d0>), 'name', 'type', 'version'], [('data', ['special_zero'], []), '@ports', '@consts'])], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': False} [ ERROR ] Exception occurred during running replacer "REPLACEMENT_ID" (): Stopped shape/value propagation at "ssd_preprocessing_train/resize_image/Reshape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38. [ 2020-02-19 17:54:33,943 ] [ DEBUG ] [ main:324 ] Traceback (most recent call last): File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 134, in partial_infer node.infer(node) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/ops/reshape.py", line 83, in infer "".format(input_shape, output_shape, name) AssertionError: Number of elements in input [ 1 300 300 300 3] and output [300, 300, 3] of reshape node ssd_preprocessing_train/resize_image/Reshape mismatch 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/utils/class_registration.py", line 287, in apply_transform for_graph_and_each_sub_graph_recursively(graph, replacer.find_and_replace_pattern) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 58, in for_graph_and_each_sub_graph_recursively func(graph) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/extensions/middle/PartialInfer.py", line 32, in find_and_replace_pattern partial_infer(graph) File "/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 198, in partial_infer refer_to_faq_msg(38)) from err mo.utils.error.Error: Stopped shape/value propagation at "ssd_preprocessing_train/resize_image/Reshape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/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" (): Stopped shape/value propagation at "ssd_preprocessing_train/resize_image/Reshape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38. ibox@ibox-desktop:/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer$ ^C ibox@ibox-desktop:/opt/intel/openvino_2020.1.023/deployment_tools/model_optimizer$