Script started on 2019-11-25 12:32:57-0800 ]0;root@CASE: /opt/intel/openvino_2019.3.376/deployment_tools/model_optimizerroot@CASE:/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer# exitscript t log.txt ]0;root@CASE: /opt/intel/openvino_2019.3.376/deployment_tools/model_optimizerroot@CASE:/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer# udo python3 mo_tf.py --input_model /home/smargendorf/models/tf_modelv2.pb --input_sha ape="[1, 360, 480, 3]" --log_level DEBUG --log_level DEBUG [ 2019-11-25 12:33:05,101 ] [ DEBUG ] [ main:134 ] Namespace(batch=None, blobs_as_inputs=False, data_type='float', disable_fusing=None, disable_gfusing=None, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, enable_concat_optimization=False, extensions='/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, generate_deprecated_IR_V2=None, generate_experimental_IR_V10=False, input=None, input_checkpoint=None, input_meta_graph=None, input_model='/home/smargendorf/models/tf_modelv2.pb', input_model_is_text=False, input_shape='[1, 360, 480, 3]', keep_quantize_ops_in_IR=False, keep_shape_ops=False, log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=False, output=None, output_dir='/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/.', reverse_input_channels=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, steps=False, tensorboard_logdir=None, tensorflow_custom_layer_libraries=None, tensorflow_custom_operations_config_update=None, tensorflow_object_detection_api_pipeline_config=None, tensorflow_operation_patterns=None, tensorflow_subgraph_patterns=None, tensorflow_use_custom_operations_config=None, version=False) [ 2019-11-25 12:33:05,101 ] [ DEBUG ] [ main:135 ] Model Optimizer started [ 2019-11-25 12:33:05,101 ] [ DEBUG ] [ main:149 ] Output model name would be tf_modelv2{.xml, .bin} Model Optimizer arguments: Common parameters: - Path to the Input Model: /home/smargendorf/models/tf_modelv2.pb - Path for generated IR: /opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/. - IR output name: tf_modelv2 - 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, 360, 480, 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: 2019.3.0-408-gac8584cb7 /home/smargendorf/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) [ 2019-11-25 12:33:06,050 ] [ DEBUG ] [ __init__:276 ] $HOME=%s [ 2019-11-25 12:33:06,051 ] [ DEBUG ] [ __init__:276 ] CONFIGDIR=%s [ 2019-11-25 12:33:06,051 ] [ DEBUG ] [ __init__:276 ] matplotlib data path: %s [ 2019-11-25 12:33:06,053 ] [ DEBUG ] [ __init__:1009 ] loaded rc file %s [ 2019-11-25 12:33:06,055 ] [ DEBUG ] [ __init__:1646 ] matplotlib version %s [ 2019-11-25 12:33:06,055 ] [ DEBUG ] [ __init__:1647 ] interactive is %s [ 2019-11-25 12:33:06,055 ] [ DEBUG ] [ __init__:1648 ] platform is %s [ 2019-11-25 12:33:06,055 ] [ DEBUG ] [ __init__:1649 ] loaded modules: %s [ 2019-11-25 12:33:06,134 ] [ DEBUG ] [ __init__:276 ] CACHEDIR=%s [ 2019-11-25 12:33:06,136 ] [ DEBUG ] [ font_manager:1360 ] Using fontManager instance from %s /home/smargendorf/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) /home/smargendorf/.local/lib/python3.6/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) [ 2019-11-25 12:33:06,291 ] [ DEBUG ] [ main:231 ] Placeholder shapes : [ 1 360 480 3] [ WARNING ] From %s: The name %s is deprecated. Please use %s instead. [ WARNING ] From %s: The name %s is deprecated. Please use %s instead. [ WARNING ] From %s: The name %s is deprecated. Please use %s instead. [ INFO ] Importing extensions from: /opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Const [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Transpose [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reshape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ScaleShift [ 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: SoftMax [ INFO ] New subclass: [ 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: FullyConnected [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LRN [ 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: Power [ 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: ShapeOf [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Split [ 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: 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 ] 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_2019.3.376/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. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BatchMatMul [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Cast [ 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: 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: SquaredDifference [ 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: 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: 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 ] 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: 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: NonMaxSuppression [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Normalize [ 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: Parameter [ 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: 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: SpatialTransformer [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Splice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SplitV [ 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: TensorIterator [ 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: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Interpolate [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Power [ 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: 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: 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 ] 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: [ 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: BatchMatMul [ 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: FloorMod [ 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: LogicalNot [ 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: All [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Concat [ 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: 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: 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: 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: LeakyRelu [ 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: NextIteration [ 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: Prod [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rank [ 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: Reshape [ 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: Shape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sigmoid [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Size [ 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: SplitV [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Squeeze [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StopGradient [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sum [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tanh [ 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. [ 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: Unpack [ 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. [ 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. [ 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: [ 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: [ 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 ] 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 ] 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 ] 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: [ 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: [ 2019-11-25 12:33:06,875 ] [ DEBUG ] [ class_registration:48 ] All replacers has unique idxs. [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ tf:95 ] Number of nodes in graph_def: 1615 [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StridedSlice to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:70 ] Overridden extractor entry BatchMatMul by custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BlockLSTM to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CTCGreedyDecoder to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Cast to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FakeQuantWithMinMaxVars to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FloorMod to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherTree to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LoopCond to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalNot to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayV3 to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayGatherV3 to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry All to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ArgMax to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Concat to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2D to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthwiseConv2dNative to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3D to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CropAndResize to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2DBackpropInput to extractors with custom extractor class . [ 2019-11-25 12:33:08,033 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthToSpace to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Add to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddN to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BiasAdd to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Mul to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sub to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry RealDiv to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sqrt to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rsqrt to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Square to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Neg to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ZerosLike to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Maximum to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Minimum to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pow to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalAnd to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LogicalOr to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Equal to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LessEqual to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Less to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Greater to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GreaterEqual to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NotEqual to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Elu to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Erf to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Exp to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExpandDims to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExtractImagePatches to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FIFOQueueV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Fill to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Gather to extractors with custom extractor class . [ 2019-11-25 12:33:08,034 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResourceGather to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry LeakyRelu to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Max to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Mean to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NextIteration to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry OneHot to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pad to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PadV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MirrorPad to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Placeholder to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PlaceholderWithDefault to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool3D to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool3D to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Prod to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rank to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Relu6 to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Relu to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Reshape to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeBilinear to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeNearestNeighbor to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseSequence to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Select to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Shape to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sigmoid to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Size to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Slice to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Softmax to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SpaceToDepth to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SparseFillEmptyRows to extractors with custom extractor class . [ 2019-11-25 12:33:08,035 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SplitV to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Squeeze to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StopGradient to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sum to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tanh to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tile to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TopK to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TopKV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Transpose to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Unique to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Variable to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry VariableV2 to extractors with custom extractor class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ScaleShift to extractors with custom op class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Clamp to extractors with custom op class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Convolution to extractors with custom op class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Crop to extractors with custom op class . [ 2019-11-25 12:33:08,036 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Activation to extractors with custom op class . [ 2019-11-25 12:33:08,039 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Broadcast to extractors with custom op class . [ 2019-11-25 12:33:08,039 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantOfShape to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Deconvolution to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DeformableConvolution to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Eltwise to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseN to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseNin1 to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Flatten to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FlattenONNX to extractors with custom op class . [ 2019-11-25 12:33:08,040 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GroupNorm to extractors with custom op class . [ 2019-11-25 12:33:08,041 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FullyConnected to extractors with custom op class . [ 2019-11-25 12:33:08,041 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LstmNonLinearity to extractors with custom op class . [ 2019-11-25 12:33:08,041 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Memory to extractors with custom op class . [ 2019-11-25 12:33:08,041 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MemoryOffset to extractors with custom op class . [ 2019-11-25 12:33:08,041 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Permute to extractors with custom op class . [ 2019-11-25 12:33:08,041 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Pooling to extractors with custom op class . [ 2019-11-25 12:33:08,041 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Power to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Result to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ROIPooling to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShapeOf to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Unsqueeze to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DetectionOutput to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Enter to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Exit to extractors with custom op class . [ 2019-11-25 12:33:08,042 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNN to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRU to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRUCell to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GatherNd to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTM to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Log to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RNNCell to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Reverse to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SquaredDifference to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayReadV3 to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayScatterV3 to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArraySizeV3 to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayWriteV3 to extractors with custom op class . [ 2019-11-25 12:33:08,043 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorInput to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorOutput to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorCondition to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorBackEdge to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Accum to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Assert to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Axpy to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Binarization to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry BN to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry _contrib_box_nms to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantFill to extractors with custom op class . [ 2019-11-25 12:33:08,044 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry copy to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Correlation to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DataAugmentation to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronDetectionOutput to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FakeQuantize to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRN to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry InstanceNormalization to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interp to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interpolate to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMCell to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMSequence to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Merge to extractors with custom op class . [ 2019-11-25 12:33:08,045 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MVN to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry NonMaxSuppression to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Normalize to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Parameter to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry pnorm to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PowerFile to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PredictionHeatmap to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PReLU to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBox to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBoxClustered to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronPriorGridGenerator to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Proposal to extractors with custom op class . [ 2019-11-25 12:33:08,046 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronGenerateProposalsSingleImage to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PSROIPooling to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Range to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RegionYolo to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ReorgYolo to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Resample to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronROIFeatureExtractor to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShuffleChannel to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SimplerNMS to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SpatialTransformer to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Splice to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SwapAxis to extractors with custom op class . [ 2019-11-25 12:33:08,047 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Switch to extractors with custom op class . [ 2019-11-25 12:33:08,048 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIterator to extractors with custom op class . [ 2019-11-25 12:33:08,048 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ExperimentalDetectronTopKROIs to extractors with custom op class . [ 2019-11-25 12:33:08,048 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Upsample to extractors with custom op class . [ 2019-11-25 12:33:08,105 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 3 32] and value.shape = (3, 3, 3, 32) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-11-25 12:33:08,106 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,106 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,107 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,107 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,109 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 32] and value.shape = (3, 3, 32, 32) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-11-25 12:33:08,110 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,110 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,110 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,110 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,111 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 64] and value.shape = (3, 3, 32, 64) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,112 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,113 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,113 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,113 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,114 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 64 80] and value.shape = (1, 1, 64, 80) [ WARNING ] Broadcast of scalar to shape: [80] [ 2019-11-25 12:33:08,115 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [80] and value.shape = (80,) [ 2019-11-25 12:33:08,116 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [80] and value.shape = (80,) [ 2019-11-25 12:33:08,116 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [80] and value.shape = (80,) [ 2019-11-25 12:33:08,116 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [80] and value.shape = (80,) [ 2019-11-25 12:33:08,118 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 80 192] and value.shape = (3, 3, 80, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,118 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,119 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,119 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,119 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,121 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 64] and value.shape = (1, 1, 192, 64) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,121 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,122 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,122 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,122 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,123 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 48] and value.shape = (1, 1, 192, 48) [ 2019-11-25 12:33:08,124 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ WARNING ] Broadcast of scalar to shape: [48] [ 2019-11-25 12:33:08,125 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,125 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,126 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,126 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,127 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,127 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,128 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,128 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,129 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 64] and value.shape = (1, 1, 192, 64) [ 2019-11-25 12:33:08,130 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,131 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,133 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 32] and value.shape = (1, 1, 192, 32) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,134 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,134 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,134 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,134 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,135 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,136 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,136 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,136 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,137 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,138 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,138 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,139 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-11-25 12:33:08,140 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,140 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,140 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,141 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,142 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,142 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,143 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,144 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,144 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,144 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,145 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,146 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 48] and value.shape = (1, 1, 256, 48) [ 2019-11-25 12:33:08,146 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ WARNING ] Broadcast of scalar to shape: [48] [ 2019-11-25 12:33:08,147 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,148 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,148 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,149 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,150 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,150 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,150 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,151 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,152 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ 2019-11-25 12:33:08,153 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,154 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,155 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,156 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,156 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,156 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,156 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,157 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,158 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,158 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,158 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,159 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,159 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,160 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,160 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,161 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,161 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,162 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,162 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,164 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,164 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,164 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,165 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,166 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,166 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,166 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,168 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 48] and value.shape = (1, 1, 288, 48) [ 2019-11-25 12:33:08,169 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ WARNING ] Broadcast of scalar to shape: [48] [ 2019-11-25 12:33:08,170 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,170 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,170 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,171 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,172 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,172 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,172 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,172 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,174 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,175 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,176 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,177 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,177 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,178 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,178 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,178 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,179 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,180 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,180 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,180 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,181 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,182 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,182 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,182 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,183 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,183 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,184 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,184 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,186 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,186 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,186 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-11-25 12:33:08,187 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,187 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,188 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,188 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,189 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,190 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,190 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,191 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,191 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,193 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 288 384] and value.shape = (3, 3, 288, 384) [ 2019-11-25 12:33:08,194 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,195 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,196 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,196 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,196 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [96] [ 2019-11-25 12:33:08,198 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,198 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,198 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,199 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,201 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,201 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,201 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 128] and value.shape = (1, 1, 768, 128) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-11-25 12:33:08,202 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,203 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,203 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,203 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,204 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 128] and value.shape = (7, 1, 128, 128) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-11-25 12:33:08,205 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,206 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,206 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,206 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,207 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 128] and value.shape = (1, 1, 768, 128) [ 2019-11-25 12:33:08,208 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 128] and value.shape = (1, 7, 128, 128) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-11-25 12:33:08,209 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,209 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,210 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,210 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-11-25 12:33:08,211 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,211 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,212 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,212 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,213 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 128] and value.shape = (1, 7, 128, 128) [ 2019-11-25 12:33:08,214 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 128] and value.shape = (7, 1, 128, 128) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-11-25 12:33:08,215 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,215 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,216 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,216 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-11-25 12:33:08,217 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,217 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,218 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,218 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,220 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,220 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 192] and value.shape = (7, 1, 128, 192) [ 2019-11-25 12:33:08,221 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 192] and value.shape = (1, 7, 128, 192) [ 2019-11-25 12:33:08,222 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,223 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,224 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,224 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,224 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,225 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,225 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,226 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,226 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,227 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,227 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,228 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,228 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,229 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,230 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,230 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,230 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,232 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,232 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,233 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,234 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,234 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,234 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,235 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,236 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,237 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,237 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,237 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,238 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,239 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,240 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,241 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,241 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,241 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,242 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,243 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,243 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,243 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,243 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,245 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,246 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,247 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,247 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,247 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,248 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,249 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,249 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,249 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,250 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,251 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,252 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 192] and value.shape = (7, 1, 160, 192) [ 2019-11-25 12:33:08,253 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 192] and value.shape = (1, 7, 160, 192) [ 2019-11-25 12:33:08,254 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,255 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,255 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,256 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,256 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,257 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,257 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,258 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,258 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,259 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,259 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,260 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,260 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,261 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,262 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,262 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,262 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,264 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,264 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,264 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,266 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,266 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,266 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,267 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,268 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,269 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,269 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,269 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,270 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,271 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,272 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,273 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,273 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,273 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,274 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,275 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,275 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,275 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,276 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,277 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,278 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,279 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,279 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,280 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,280 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ WARNING ] Broadcast of scalar to shape: [160] [ 2019-11-25 12:33:08,281 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,281 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,281 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,282 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,283 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,284 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 192] and value.shape = (7, 1, 160, 192) [ 2019-11-25 12:33:08,285 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 192] and value.shape = (1, 7, 160, 192) [ 2019-11-25 12:33:08,286 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,288 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,288 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,288 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,289 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,290 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,290 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,291 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,291 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,292 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,292 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,293 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,293 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,367 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,368 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,368 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,369 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,372 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,372 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,373 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,374 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,375 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,376 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,376 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,378 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,380 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,380 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,381 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,381 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,383 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,385 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,386 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,387 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,387 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,387 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,389 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,389 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,390 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,390 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,392 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,394 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,396 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,396 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,397 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,397 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,399 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,399 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,400 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,400 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,403 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,404 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,405 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,406 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,408 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,408 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,408 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,409 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,410 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,411 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,411 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,411 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,413 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,413 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,414 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,414 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,415 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,416 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,416 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,416 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,418 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,418 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,419 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,420 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,420 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,420 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,421 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,422 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,423 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,424 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,424 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,424 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,426 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,427 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,428 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,429 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,429 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,429 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,430 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,431 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,431 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,431 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,433 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 192 320] and value.shape = (3, 3, 192, 320) [ 2019-11-25 12:33:08,435 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 192 192] and value.shape = (3, 3, 192, 192) [ WARNING ] Broadcast of scalar to shape: [320] [ 2019-11-25 12:33:08,436 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,436 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,436 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,437 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,438 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,438 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,438 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,439 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,440 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,440 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,442 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 448] and value.shape = (1, 1, 1280, 448) [ WARNING ] Broadcast of scalar to shape: [448] [ 2019-11-25 12:33:08,443 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,443 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,443 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,444 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,445 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 384] and value.shape = (1, 1, 1280, 384) [ 2019-11-25 12:33:08,448 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 448 384] and value.shape = (3, 3, 448, 384) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,449 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,449 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,450 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,450 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,451 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,452 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,452 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,452 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,454 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,455 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,457 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,459 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,461 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 320] and value.shape = (1, 1, 1280, 320) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,462 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,462 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,462 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,463 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,464 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,464 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,464 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,465 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,466 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,466 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,466 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,467 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,468 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,468 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,468 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,469 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,470 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 192] and value.shape = (1, 1, 1280, 192) [ WARNING ] Broadcast of scalar to shape: [320] [ 2019-11-25 12:33:08,471 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,471 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,471 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,472 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,474 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,474 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,474 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,475 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,476 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,476 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,476 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,476 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,477 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,477 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,479 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 448] and value.shape = (1, 1, 2048, 448) [ WARNING ] Broadcast of scalar to shape: [448] [ 2019-11-25 12:33:08,480 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,480 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,480 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,481 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,483 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 384] and value.shape = (1, 1, 2048, 384) [ 2019-11-25 12:33:08,486 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 448 384] and value.shape = (3, 3, 448, 384) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,487 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,487 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,488 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,488 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,489 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,490 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,490 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,491 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,492 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,494 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,495 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,496 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,499 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 320] and value.shape = (1, 1, 2048, 320) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,500 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,500 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,501 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,501 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,502 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,502 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,503 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,503 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,504 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,504 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,505 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,505 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ WARNING ] Broadcast of scalar to shape: [384] [ 2019-11-25 12:33:08,506 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,506 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,507 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,507 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,508 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 192] and value.shape = (1, 1, 2048, 192) [ WARNING ] Broadcast of scalar to shape: [320] [ 2019-11-25 12:33:08,509 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,510 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,510 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,510 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ WARNING ] Broadcast of scalar to shape: [192] [ 2019-11-25 12:33:08,512 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,512 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,513 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,513 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,514 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,514 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,515 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,515 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,515 ] [ DEBUG ] [ utils:78 ] value = [3], shape = [], res = [3], res.shape = (1,) [ 2019-11-25 12:33:08,515 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-11-25 12:33:08,516 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-11-25 12:33:08,517 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-11-25 12:33:08,517 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-11-25 12:33:08,518 ] [ DEBUG ] [ utils:78 ] value = [-1], shape = [], res = [-1], res.shape = (1,) [ 2019-11-25 12:33:08,518 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,526 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [239616 32] and value.shape = (239616, 32) [ 2019-11-25 12:33:08,527 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,528 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,528 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,529 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,529 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,530 ] [ DEBUG ] [ utils:78 ] value = [0.0010000000474974513], shape = [], res = [0.001], res.shape = (1,) [ 2019-11-25 12:33:08,530 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,532 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32 16] and value.shape = (32, 16) [ 2019-11-25 12:33:08,533 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-11-25 12:33:08,534 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16 20] and value.shape = (16, 20) [ 2019-11-25 12:33:08,535 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [20] and value.shape = (20,) [ 2019-11-25 12:33:08,536 ] [ DEBUG ] [ utils:78 ] value = [315], shape = [], res = [315], res.shape = (1,) [ 2019-11-25 12:33:08,536 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,536 ] [ DEBUG ] [ utils:78 ] value = [0.8999999761581421], shape = [], res = [0.9], res.shape = (1,) [ 2019-11-25 12:33:08,537 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,537 ] [ DEBUG ] [ utils:78 ] value = [0.9990000128746033], shape = [], res = [0.999], res.shape = (1,) [ 2019-11-25 12:33:08,537 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,537 ] [ DEBUG ] [ utils:78 ] value = [0.0], shape = [], res = [0.], res.shape = (1,) [ 2019-11-25 12:33:08,537 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,538 ] [ DEBUG ] [ utils:78 ] value = [0.009000000543892384], shape = [], res = [0.009], res.shape = (1,) [ 2019-11-25 12:33:08,538 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-11-25 12:33:08,538 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 3 32] and value.shape = (3, 3, 3, 32) [ 2019-11-25 12:33:08,539 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,539 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 32] and value.shape = (3, 3, 32, 32) [ 2019-11-25 12:33:08,539 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,539 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 64] and value.shape = (3, 3, 32, 64) [ 2019-11-25 12:33:08,540 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,540 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 64 80] and value.shape = (1, 1, 64, 80) [ 2019-11-25 12:33:08,540 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [80] and value.shape = (80,) [ 2019-11-25 12:33:08,541 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 80 192] and value.shape = (3, 3, 80, 192) [ 2019-11-25 12:33:08,541 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,541 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 64] and value.shape = (1, 1, 192, 64) [ 2019-11-25 12:33:08,542 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,542 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 48] and value.shape = (1, 1, 192, 48) [ 2019-11-25 12:33:08,542 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,543 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,543 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,543 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 64] and value.shape = (1, 1, 192, 64) [ 2019-11-25 12:33:08,544 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,544 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,544 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 32] and value.shape = (1, 1, 192, 32) [ 2019-11-25 12:33:08,545 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,545 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,545 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,546 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,546 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ 2019-11-25 12:33:08,546 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,547 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 48] and value.shape = (1, 1, 256, 48) [ 2019-11-25 12:33:08,547 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,547 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,548 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,548 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ 2019-11-25 12:33:08,548 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,549 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,549 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ 2019-11-25 12:33:08,550 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,550 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,550 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,551 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,551 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,551 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,552 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 48] and value.shape = (1, 1, 288, 48) [ 2019-11-25 12:33:08,552 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,552 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,553 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,553 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,554 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,554 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,554 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,555 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,555 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,555 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,555 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,556 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,556 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,556 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,557 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,558 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 288 384] and value.shape = (3, 3, 288, 384) [ 2019-11-25 12:33:08,559 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,559 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,559 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,560 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 128] and value.shape = (1, 1, 768, 128) [ 2019-11-25 12:33:08,560 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,561 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 128] and value.shape = (7, 1, 128, 128) [ 2019-11-25 12:33:08,561 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,561 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 128] and value.shape = (1, 1, 768, 128) [ 2019-11-25 12:33:08,562 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 128] and value.shape = (1, 7, 128, 128) [ 2019-11-25 12:33:08,562 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,562 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,563 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 128] and value.shape = (1, 7, 128, 128) [ 2019-11-25 12:33:08,563 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 128] and value.shape = (7, 1, 128, 128) [ 2019-11-25 12:33:08,563 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,564 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,564 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,565 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 192] and value.shape = (7, 1, 128, 192) [ 2019-11-25 12:33:08,566 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 192] and value.shape = (1, 7, 128, 192) [ 2019-11-25 12:33:08,566 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,567 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,567 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,567 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,568 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,568 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,568 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,569 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,569 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,570 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,570 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,570 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,571 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,571 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,572 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,572 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,572 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,573 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,573 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 192] and value.shape = (7, 1, 160, 192) [ 2019-11-25 12:33:08,574 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 192] and value.shape = (1, 7, 160, 192) [ 2019-11-25 12:33:08,574 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,575 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,575 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,576 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,576 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,576 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,577 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,577 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,577 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,578 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,578 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,579 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,579 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,579 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,580 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,580 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,581 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,581 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,582 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 192] and value.shape = (7, 1, 160, 192) [ 2019-11-25 12:33:08,583 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 192] and value.shape = (1, 7, 160, 192) [ 2019-11-25 12:33:08,583 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,584 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,584 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,584 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,584 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,585 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,585 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,586 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,586 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,587 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,587 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,588 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,588 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,588 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,589 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,589 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,590 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,590 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,591 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,591 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,592 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,592 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,592 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,592 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,593 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,593 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,593 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,594 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,594 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,595 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,595 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,596 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,596 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,597 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 192 320] and value.shape = (3, 3, 192, 320) [ 2019-11-25 12:33:08,598 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 192 192] and value.shape = (3, 3, 192, 192) [ 2019-11-25 12:33:08,598 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,599 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,600 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 448] and value.shape = (1, 1, 1280, 448) [ 2019-11-25 12:33:08,600 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,601 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 384] and value.shape = (1, 1, 1280, 384) [ 2019-11-25 12:33:08,604 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 448 384] and value.shape = (3, 3, 448, 384) [ 2019-11-25 12:33:08,604 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,604 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,605 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,606 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,607 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,607 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,608 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 320] and value.shape = (1, 1, 1280, 320) [ 2019-11-25 12:33:08,609 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,609 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,609 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,610 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,610 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 192] and value.shape = (1, 1, 1280, 192) [ 2019-11-25 12:33:08,611 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,611 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,613 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 448] and value.shape = (1, 1, 2048, 448) [ 2019-11-25 12:33:08,613 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,615 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 384] and value.shape = (1, 1, 2048, 384) [ 2019-11-25 12:33:08,617 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 448 384] and value.shape = (3, 3, 448, 384) [ 2019-11-25 12:33:08,618 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,618 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,619 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,620 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,621 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,622 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,623 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 320] and value.shape = (1, 1, 2048, 320) [ 2019-11-25 12:33:08,624 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,624 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,624 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,625 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,625 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 192] and value.shape = (1, 1, 2048, 192) [ 2019-11-25 12:33:08,626 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,626 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,636 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [239616 32] and value.shape = (239616, 32) [ 2019-11-25 12:33:08,636 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,637 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,637 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,637 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32 16] and value.shape = (32, 16) [ 2019-11-25 12:33:08,638 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-11-25 12:33:08,638 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16 20] and value.shape = (16, 20) [ 2019-11-25 12:33:08,638 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [20] and value.shape = (20,) [ 2019-11-25 12:33:08,639 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 3 32] and value.shape = (3, 3, 3, 32) [ 2019-11-25 12:33:08,639 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,640 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 32] and value.shape = (3, 3, 32, 32) [ 2019-11-25 12:33:08,640 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,640 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 64] and value.shape = (3, 3, 32, 64) [ 2019-11-25 12:33:08,641 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,641 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 64 80] and value.shape = (1, 1, 64, 80) [ 2019-11-25 12:33:08,642 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [80] and value.shape = (80,) [ 2019-11-25 12:33:08,642 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 80 192] and value.shape = (3, 3, 80, 192) [ 2019-11-25 12:33:08,643 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,643 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 64] and value.shape = (1, 1, 192, 64) [ 2019-11-25 12:33:08,644 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,644 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 48] and value.shape = (1, 1, 192, 48) [ 2019-11-25 12:33:08,645 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,645 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,646 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,646 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 64] and value.shape = (1, 1, 192, 64) [ 2019-11-25 12:33:08,646 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,647 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,647 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 192 32] and value.shape = (1, 1, 192, 32) [ 2019-11-25 12:33:08,648 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,648 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,649 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,649 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,649 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ 2019-11-25 12:33:08,650 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,650 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 48] and value.shape = (1, 1, 256, 48) [ 2019-11-25 12:33:08,650 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,651 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,651 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,652 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ 2019-11-25 12:33:08,652 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,652 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,653 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 256 64] and value.shape = (1, 1, 256, 64) [ 2019-11-25 12:33:08,653 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,653 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,654 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,654 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,654 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,655 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,655 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 48] and value.shape = (1, 1, 288, 48) [ 2019-11-25 12:33:08,655 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,656 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [48] and value.shape = (48,) [ 2019-11-25 12:33:08,656 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,656 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,657 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 5 5 48 64] and value.shape = (5, 5, 48, 64) [ 2019-11-25 12:33:08,657 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,658 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,658 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,658 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,658 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,659 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,659 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 288 64] and value.shape = (1, 1, 288, 64) [ 2019-11-25 12:33:08,659 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-11-25 12:33:08,660 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 96] and value.shape = (3, 3, 64, 96) [ 2019-11-25 12:33:08,660 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,662 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 288 384] and value.shape = (3, 3, 288, 384) [ 2019-11-25 12:33:08,662 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 96 96] and value.shape = (3, 3, 96, 96) [ 2019-11-25 12:33:08,663 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,663 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [96] and value.shape = (96,) [ 2019-11-25 12:33:08,663 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 128] and value.shape = (1, 1, 768, 128) [ 2019-11-25 12:33:08,664 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,664 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 128] and value.shape = (7, 1, 128, 128) [ 2019-11-25 12:33:08,664 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,665 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 128] and value.shape = (1, 1, 768, 128) [ 2019-11-25 12:33:08,665 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 128] and value.shape = (1, 7, 128, 128) [ 2019-11-25 12:33:08,666 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,666 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,666 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 128] and value.shape = (1, 7, 128, 128) [ 2019-11-25 12:33:08,667 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 128] and value.shape = (7, 1, 128, 128) [ 2019-11-25 12:33:08,667 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,667 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-11-25 12:33:08,668 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,668 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 128 192] and value.shape = (7, 1, 128, 192) [ 2019-11-25 12:33:08,669 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 128 192] and value.shape = (1, 7, 128, 192) [ 2019-11-25 12:33:08,669 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,670 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,670 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,670 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,671 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,671 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,671 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,672 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,672 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,673 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,673 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,673 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,674 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,674 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,675 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,675 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,675 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,676 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,676 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 192] and value.shape = (7, 1, 160, 192) [ 2019-11-25 12:33:08,677 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 192] and value.shape = (1, 7, 160, 192) [ 2019-11-25 12:33:08,678 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,678 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,678 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,679 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,679 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,679 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,680 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,680 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,681 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,681 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 160] and value.shape = (1, 1, 768, 160) [ 2019-11-25 12:33:08,682 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,682 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,683 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,683 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 160] and value.shape = (1, 7, 160, 160) [ 2019-11-25 12:33:08,684 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 160] and value.shape = (7, 1, 160, 160) [ 2019-11-25 12:33:08,684 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,684 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [160] and value.shape = (160,) [ 2019-11-25 12:33:08,685 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,685 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 160 192] and value.shape = (7, 1, 160, 192) [ 2019-11-25 12:33:08,686 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 160 192] and value.shape = (1, 7, 160, 192) [ 2019-11-25 12:33:08,686 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,686 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,687 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,687 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,688 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,688 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,689 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,689 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,689 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,690 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,690 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,691 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,691 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,692 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,692 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,692 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,693 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,693 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,694 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,694 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,695 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,695 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,695 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,696 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,696 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,696 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,697 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,697 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 7 192 192] and value.shape = (1, 7, 192, 192) [ 2019-11-25 12:33:08,698 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,698 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 768 192] and value.shape = (1, 1, 768, 192) [ 2019-11-25 12:33:08,699 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 7 1 192 192] and value.shape = (7, 1, 192, 192) [ 2019-11-25 12:33:08,699 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,699 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,700 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 192 320] and value.shape = (3, 3, 192, 320) [ 2019-11-25 12:33:08,701 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 192 192] and value.shape = (3, 3, 192, 192) [ 2019-11-25 12:33:08,701 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,702 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,703 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 448] and value.shape = (1, 1, 1280, 448) [ 2019-11-25 12:33:08,703 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,704 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 384] and value.shape = (1, 1, 1280, 384) [ 2019-11-25 12:33:08,706 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 448 384] and value.shape = (3, 3, 448, 384) [ 2019-11-25 12:33:08,707 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,707 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,708 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,709 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,710 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,711 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,712 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 320] and value.shape = (1, 1, 1280, 320) [ 2019-11-25 12:33:08,712 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,712 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,713 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,713 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,713 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 1280 192] and value.shape = (1, 1, 1280, 192) [ 2019-11-25 12:33:08,714 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,714 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,716 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 448] and value.shape = (1, 1, 2048, 448) [ 2019-11-25 12:33:08,717 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [448] and value.shape = (448,) [ 2019-11-25 12:33:08,719 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 384] and value.shape = (1, 1, 2048, 384) [ 2019-11-25 12:33:08,721 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 448 384] and value.shape = (3, 3, 448, 384) [ 2019-11-25 12:33:08,721 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,722 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,722 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,723 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,724 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 3 384 384] and value.shape = (1, 3, 384, 384) [ 2019-11-25 12:33:08,725 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 1 384 384] and value.shape = (3, 1, 384, 384) [ 2019-11-25 12:33:08,727 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 320] and value.shape = (1, 1, 2048, 320) [ 2019-11-25 12:33:08,727 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,728 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,728 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,728 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [384] and value.shape = (384,) [ 2019-11-25 12:33:08,729 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 2048 192] and value.shape = (1, 1, 2048, 192) [ 2019-11-25 12:33:08,730 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [320] and value.shape = (320,) [ 2019-11-25 12:33:08,730 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [192] and value.shape = (192,) [ 2019-11-25 12:33:08,756 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [239616 32] and value.shape = (239616, 32) [ 2019-11-25 12:33:08,756 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,757 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,757 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-11-25 12:33:08,757 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32 16] and value.shape = (32, 16) [ 2019-11-25 12:33:08,758 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16] and value.shape = (16,) [ 2019-11-25 12:33:08,758 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16 20] and value.shape = (16, 20) [ 2019-11-25 12:33:08,758 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [20] and value.shape = (20,) [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,760 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,761 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,762 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,763 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,764 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,765 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,766 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,767 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,768 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,769 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:08,776 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:08,801 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:08,845 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:08,845 ] [ DEBUG ] [ tf_od_api:67 ] The model does not contain nodes that must exist in the TF OD API models [ 2019-11-25 12:33:08,857 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:08,876 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:08,891 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:08,903 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:08,916 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:08,929 ] [ DEBUG ] [ graph:954 ] Sink: predictions/Tanh/sink_port_0 for node predictions/Tanh [ 2019-11-25 12:33:08,929 ] [ DEBUG ] [ graph:955 ] {'precision': 'FP32', 'kind': 'op', 'op': 'Result', 'type': 'Result', 'infer': . at 0x7fc45d05c840>, 'value': None, 'data_type': None, 'in_ports_count': 1, 'name': 'predictions/Tanh/sink_port_0', 'dim_attrs': ['spatial_dims', 'channel_dims', 'batch_dims', 'axis'], 'shape_attrs': ['window', 'pad', 'shape', 'output_shape', 'stride'], 'IE': [('layer', [('id', . at 0x7fc45d05ca60>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], '_in_ports': {0: {}}, '_out_ports': {0: {}}} [ 2019-11-25 12:33:08,929 ] [ DEBUG ] [ graph:956 ] Add edge from predictions/Tanh to predictions/Tanh/sink_port_0 [ INFO ] Possible outputs: 'Adam/iter, Adam/beta_1, Adam/beta_2, Adam/decay, Adam/learning_rate, Adam/conv2d/kernel/m, Adam/batch_normalization/beta/m, Adam/conv2d_1/kernel/m, Adam/batch_normalization_1/beta/m, Adam/conv2d_2/kernel/m, Adam/batch_normalization_2/beta/m, Adam/conv2d_3/kernel/m, Adam/batch_normalization_3/beta/m, Adam/conv2d_4/kernel/m, Adam/batch_normalization_4/beta/m, Adam/conv2d_8/kernel/m, Adam/batch_normalization_8/beta/m, Adam/conv2d_6/kernel/m, Adam/conv2d_9/kernel/m, Adam/batch_normalization_6/beta/m, Adam/batch_normalization_9/beta/m, Adam/conv2d_5/kernel/m, Adam/conv2d_7/kernel/m, Adam/conv2d_10/kernel/m, Adam/conv2d_11/kernel/m, Adam/batch_normalization_5/beta/m, Adam/batch_normalization_7/beta/m, Adam/batch_normalization_10/beta/m, Adam/batch_normalization_11/beta/m, Adam/conv2d_15/kernel/m, Adam/batch_normalization_15/beta/m, Adam/conv2d_13/kernel/m, Adam/conv2d_16/kernel/m, Adam/batch_normalization_13/beta/m, Adam/batch_normalization_16/beta/m, Adam/conv2d_12/kernel/m, Adam/conv2d_14/kernel/m, Adam/conv2d_17/kernel/m, Adam/conv2d_18/kernel/m, Adam/batch_normalization_12/beta/m, Adam/batch_normalization_14/beta/m, Adam/batch_normalization_17/beta/m, Adam/batch_normalization_18/beta/m, Adam/conv2d_22/kernel/m, Adam/batch_normalization_22/beta/m, Adam/conv2d_20/kernel/m, Adam/conv2d_23/kernel/m, Adam/batch_normalization_20/beta/m, Adam/batch_normalization_23/beta/m, Adam/conv2d_19/kernel/m, Adam/conv2d_21/kernel/m, Adam/conv2d_24/kernel/m, Adam/conv2d_25/kernel/m, Adam/batch_normalization_19/beta/m, Adam/batch_normalization_21/beta/m, Adam/batch_normalization_24/beta/m, Adam/batch_normalization_25/beta/m, Adam/conv2d_27/kernel/m, Adam/batch_normalization_27/beta/m, Adam/conv2d_28/kernel/m, Adam/batch_normalization_28/beta/m, Adam/conv2d_26/kernel/m, Adam/conv2d_29/kernel/m, Adam/batch_normalization_26/beta/m, Adam/batch_normalization_29/beta/m, Adam/conv2d_34/kernel/m, Adam/batch_normalization_34/beta/m, Adam/conv2d_35/kernel/m, Adam/batch_normalization_35/beta/m, Adam/conv2d_31/kernel/m, Adam/conv2d_36/kernel/m, Adam/batch_normalization_31/beta/m, Adam/batch_normalization_36/beta/m, Adam/conv2d_32/kernel/m, Adam/conv2d_37/kernel/m, Adam/batch_normalization_32/beta/m, Adam/batch_normalization_37/beta/m, Adam/conv2d_30/kernel/m, Adam/conv2d_33/kernel/m, Adam/conv2d_38/kernel/m, Adam/conv2d_39/kernel/m, Adam/batch_normalization_30/beta/m, Adam/batch_normalization_33/beta/m, Adam/batch_normalization_38/beta/m, Adam/batch_normalization_39/beta/m, Adam/conv2d_44/kernel/m, Adam/batch_normalization_44/beta/m, Adam/conv2d_45/kernel/m, Adam/batch_normalization_45/beta/m, Adam/conv2d_41/kernel/m, Adam/conv2d_46/kernel/m, Adam/batch_normalization_41/beta/m, Adam/batch_normalization_46/beta/m, Adam/conv2d_42/kernel/m, Adam/conv2d_47/kernel/m, Adam/batch_normalization_42/beta/m, Adam/batch_normalization_47/beta/m, Adam/conv2d_40/kernel/m, Adam/conv2d_43/kernel/m, Adam/conv2d_48/kernel/m, Adam/conv2d_49/kernel/m, Adam/batch_normalization_40/beta/m, Adam/batch_normalization_43/beta/m, Adam/batch_normalization_48/beta/m, Adam/batch_normalization_49/beta/m, Adam/conv2d_54/kernel/m, Adam/batch_normalization_54/beta/m, Adam/conv2d_55/kernel/m, Adam/batch_normalization_55/beta/m, Adam/conv2d_51/kernel/m, Adam/conv2d_56/kernel/m, Adam/batch_normalization_51/beta/m, Adam/batch_normalization_56/beta/m, Adam/conv2d_52/kernel/m, Adam/conv2d_57/kernel/m, Adam/batch_normalization_52/beta/m, Adam/batch_normalization_57/beta/m, Adam/conv2d_50/kernel/m, Adam/conv2d_53/kernel/m, Adam/conv2d_58/kernel/m, Adam/conv2d_59/kernel/m, Adam/batch_normalization_50/beta/m, Adam/batch_normalization_53/beta/m, Adam/batch_normalization_58/beta/m, Adam/batch_normalization_59/beta/m, Adam/conv2d_64/kernel/m, Adam/batch_normalization_64/beta/m, Adam/conv2d_65/kernel/m, Adam/batch_normalization_65/beta/m, Adam/conv2d_61/kernel/m, Adam/conv2d_66/kernel/m, Adam/batch_normalization_61/beta/m, Adam/batch_normalization_66/beta/m, Adam/conv2d_62/kernel/m, Adam/conv2d_67/kernel/m, Adam/batch_normalization_62/beta/m, Adam/batch_normalization_67/beta/m, Adam/conv2d_60/kernel/m, Adam/conv2d_63/kernel/m, Adam/conv2d_68/kernel/m, Adam/conv2d_69/kernel/m, Adam/batch_normalization_60/beta/m, Adam/batch_normalization_63/beta/m, Adam/batch_normalization_68/beta/m, Adam/batch_normalization_69/beta/m, Adam/conv2d_72/kernel/m, 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Adam/batch_normalization_86/beta/m, Adam/batch_normalization_90/beta/m, Adam/conv2d_87/kernel/m, Adam/conv2d_88/kernel/m, Adam/conv2d_91/kernel/m, Adam/conv2d_92/kernel/m, Adam/conv2d_85/kernel/m, Adam/batch_normalization_87/beta/m, Adam/batch_normalization_88/beta/m, Adam/batch_normalization_91/beta/m, Adam/batch_normalization_92/beta/m, Adam/conv2d_93/kernel/m, Adam/batch_normalization_85/beta/m, Adam/batch_normalization_93/beta/m, Adam/dense/kernel/m, Adam/dense/bias/m, Adam/batch_normalization_94/gamma/m, Adam/batch_normalization_94/beta/m, Adam/dense_1/kernel/m, Adam/dense_1/bias/m, Adam/predictions/kernel/m, Adam/predictions/bias/m, Adam/conv2d/kernel/v, Adam/batch_normalization/beta/v, Adam/conv2d_1/kernel/v, Adam/batch_normalization_1/beta/v, Adam/conv2d_2/kernel/v, Adam/batch_normalization_2/beta/v, Adam/conv2d_3/kernel/v, Adam/batch_normalization_3/beta/v, Adam/conv2d_4/kernel/v, Adam/batch_normalization_4/beta/v, Adam/conv2d_8/kernel/v, Adam/batch_normalization_8/beta/v, Adam/conv2d_6/kernel/v, Adam/conv2d_9/kernel/v, Adam/batch_normalization_6/beta/v, Adam/batch_normalization_9/beta/v, Adam/conv2d_5/kernel/v, Adam/conv2d_7/kernel/v, Adam/conv2d_10/kernel/v, Adam/conv2d_11/kernel/v, Adam/batch_normalization_5/beta/v, Adam/batch_normalization_7/beta/v, Adam/batch_normalization_10/beta/v, Adam/batch_normalization_11/beta/v, Adam/conv2d_15/kernel/v, Adam/batch_normalization_15/beta/v, Adam/conv2d_13/kernel/v, Adam/conv2d_16/kernel/v, Adam/batch_normalization_13/beta/v, Adam/batch_normalization_16/beta/v, Adam/conv2d_12/kernel/v, Adam/conv2d_14/kernel/v, Adam/conv2d_17/kernel/v, Adam/conv2d_18/kernel/v, Adam/batch_normalization_12/beta/v, Adam/batch_normalization_14/beta/v, Adam/batch_normalization_17/beta/v, Adam/batch_normalization_18/beta/v, Adam/conv2d_22/kernel/v, Adam/batch_normalization_22/beta/v, Adam/conv2d_20/kernel/v, Adam/conv2d_23/kernel/v, Adam/batch_normalization_20/beta/v, Adam/batch_normalization_23/beta/v, Adam/conv2d_19/kernel/v, Adam/conv2d_21/kernel/v, Adam/conv2d_24/kernel/v, Adam/conv2d_25/kernel/v, Adam/batch_normalization_19/beta/v, Adam/batch_normalization_21/beta/v, Adam/batch_normalization_24/beta/v, Adam/batch_normalization_25/beta/v, Adam/conv2d_27/kernel/v, Adam/batch_normalization_27/beta/v, Adam/conv2d_28/kernel/v, Adam/batch_normalization_28/beta/v, Adam/conv2d_26/kernel/v, Adam/conv2d_29/kernel/v, Adam/batch_normalization_26/beta/v, Adam/batch_normalization_29/beta/v, Adam/conv2d_34/kernel/v, Adam/batch_normalization_34/beta/v, Adam/conv2d_35/kernel/v, Adam/batch_normalization_35/beta/v, Adam/conv2d_31/kernel/v, Adam/conv2d_36/kernel/v, Adam/batch_normalization_31/beta/v, Adam/batch_normalization_36/beta/v, Adam/conv2d_32/kernel/v, Adam/conv2d_37/kernel/v, Adam/batch_normalization_32/beta/v, Adam/batch_normalization_37/beta/v, Adam/conv2d_30/kernel/v, Adam/conv2d_33/kernel/v, Adam/conv2d_38/kernel/v, Adam/conv2d_39/kernel/v, Adam/batch_normalization_30/beta/v, Adam/batch_normalization_33/beta/v, Adam/batch_normalization_38/beta/v, Adam/batch_normalization_39/beta/v, Adam/conv2d_44/kernel/v, Adam/batch_normalization_44/beta/v, Adam/conv2d_45/kernel/v, Adam/batch_normalization_45/beta/v, Adam/conv2d_41/kernel/v, Adam/conv2d_46/kernel/v, Adam/batch_normalization_41/beta/v, Adam/batch_normalization_46/beta/v, Adam/conv2d_42/kernel/v, Adam/conv2d_47/kernel/v, Adam/batch_normalization_42/beta/v, Adam/batch_normalization_47/beta/v, Adam/conv2d_40/kernel/v, Adam/conv2d_43/kernel/v, Adam/conv2d_48/kernel/v, Adam/conv2d_49/kernel/v, Adam/batch_normalization_40/beta/v, Adam/batch_normalization_43/beta/v, Adam/batch_normalization_48/beta/v, Adam/batch_normalization_49/beta/v, Adam/conv2d_54/kernel/v, Adam/batch_normalization_54/beta/v, Adam/conv2d_55/kernel/v, Adam/batch_normalization_55/beta/v, Adam/conv2d_51/kernel/v, Adam/conv2d_56/kernel/v, Adam/batch_normalization_51/beta/v, Adam/batch_normalization_56/beta/v, Adam/conv2d_52/kernel/v, Adam/conv2d_57/kernel/v, Adam/batch_normalization_52/beta/v, Adam/batch_normalization_57/beta/v, Adam/conv2d_50/kernel/v, Adam/conv2d_53/kernel/v, Adam/conv2d_58/kernel/v, Adam/conv2d_59/kernel/v, Adam/batch_normalization_50/beta/v, Adam/batch_normalization_53/beta/v, Adam/batch_normalization_58/beta/v, Adam/batch_normalization_59/beta/v, Adam/conv2d_64/kernel/v, Adam/batch_normalization_64/beta/v, Adam/conv2d_65/kernel/v, Adam/batch_normalization_65/beta/v, Adam/conv2d_61/kernel/v, Adam/conv2d_66/kernel/v, Adam/batch_normalization_61/beta/v, Adam/batch_normalization_66/beta/v, Adam/conv2d_62/kernel/v, Adam/conv2d_67/kernel/v, Adam/batch_normalization_62/beta/v, Adam/batch_normalization_67/beta/v, Adam/conv2d_60/kernel/v, Adam/conv2d_63/kernel/v, Adam/conv2d_68/kernel/v, Adam/conv2d_69/kernel/v, Adam/batch_normalization_60/beta/v, Adam/batch_normalization_63/beta/v, Adam/batch_normalization_68/beta/v, Adam/batch_normalization_69/beta/v, Adam/conv2d_72/kernel/v, Adam/batch_normalization_72/beta/v, Adam/conv2d_73/kernel/v, Adam/batch_normalization_73/beta/v, Adam/conv2d_70/kernel/v, Adam/conv2d_74/kernel/v, Adam/batch_normalization_70/beta/v, Adam/batch_normalization_74/beta/v, Adam/conv2d_71/kernel/v, Adam/conv2d_75/kernel/v, Adam/batch_normalization_71/beta/v, Adam/batch_normalization_75/beta/v, Adam/conv2d_80/kernel/v, Adam/batch_normalization_80/beta/v, Adam/conv2d_77/kernel/v, Adam/conv2d_81/kernel/v, Adam/batch_normalization_77/beta/v, Adam/batch_normalization_81/beta/v, Adam/conv2d_78/kernel/v, Adam/conv2d_79/kernel/v, Adam/conv2d_82/kernel/v, Adam/conv2d_83/kernel/v, Adam/conv2d_76/kernel/v, Adam/batch_normalization_78/beta/v, Adam/batch_normalization_79/beta/v, Adam/batch_normalization_82/beta/v, Adam/batch_normalization_83/beta/v, Adam/conv2d_84/kernel/v, Adam/batch_normalization_76/beta/v, Adam/batch_normalization_84/beta/v, Adam/conv2d_89/kernel/v, Adam/batch_normalization_89/beta/v, Adam/conv2d_86/kernel/v, Adam/conv2d_90/kernel/v, Adam/batch_normalization_86/beta/v, Adam/batch_normalization_90/beta/v, Adam/conv2d_87/kernel/v, Adam/conv2d_88/kernel/v, Adam/conv2d_91/kernel/v, Adam/conv2d_92/kernel/v, Adam/conv2d_85/kernel/v, Adam/batch_normalization_87/beta/v, Adam/batch_normalization_88/beta/v, Adam/batch_normalization_91/beta/v, Adam/batch_normalization_92/beta/v, Adam/conv2d_93/kernel/v, Adam/batch_normalization_85/beta/v, Adam/batch_normalization_93/beta/v, Adam/dense/kernel/v, Adam/dense/bias/v, Adam/batch_normalization_94/gamma/v, Adam/batch_normalization_94/beta/v, Adam/dense_1/kernel/v, Adam/dense_1/bias/v, Adam/predictions/kernel/v, Adam/predictions/bias/v' are not input reachable. True outputs are predictions/Tanh [ 2019-11-25 12:33:08,934 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:09,012 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: Adam/batch_normalization/beta/m Adam/batch_normalization/beta/v Adam/batch_normalization_1/beta/m Adam/batch_normalization_1/beta/v Adam/batch_normalization_10/beta/m Adam/batch_normalization_10/beta/v Adam/batch_normalization_11/beta/m Adam/batch_normalization_11/beta/v Adam/batch_normalization_12/beta/m Adam/batch_normalization_12/beta/v Adam/batch_normalization_13/beta/m Adam/batch_normalization_13/beta/v Adam/batch_normalization_14/beta/m Adam/batch_normalization_14/beta/v Adam/batch_normalization_15/beta/m Adam/batch_normalization_15/beta/v Adam/batch_normalization_16/beta/m Adam/batch_normalization_16/beta/v Adam/batch_normalization_17/beta/m Adam/batch_normalization_17/beta/v Adam/batch_normalization_18/beta/m Adam/batch_normalization_18/beta/v Adam/batch_normalization_19/beta/m Adam/batch_normalization_19/beta/v Adam/batch_normalization_2/beta/m Adam/batch_normalization_2/beta/v Adam/batch_normalization_20/beta/m Adam/batch_normalization_20/beta/v Adam/batch_normalization_21/beta/m Adam/batch_normalization_21/beta/v Adam/batch_normalization_22/beta/m Adam/batch_normalization_22/beta/v Adam/batch_normalization_23/beta/m Adam/batch_normalization_23/beta/v Adam/batch_normalization_24/beta/m Adam/batch_normalization_24/beta/v Adam/batch_normalization_25/beta/m Adam/batch_normalization_25/beta/v Adam/batch_normalization_26/beta/m Adam/batch_normalization_26/beta/v Adam/batch_normalization_27/beta/m Adam/batch_normalization_27/beta/v Adam/batch_normalization_28/beta/m Adam/batch_normalization_28/beta/v Adam/batch_normalization_29/beta/m Adam/batch_normalization_29/beta/v Adam/batch_normalization_3/beta/m Adam/batch_normalization_3/beta/v Adam/batch_normalization_30/beta/m Adam/batch_normalization_30/beta/v Adam/batch_normalization_31/beta/m Adam/batch_normalization_31/beta/v Adam/batch_normalization_32/beta/m Adam/batch_normalization_32/beta/v Adam/batch_normalization_33/beta/m Adam/batch_normalization_33/beta/v Adam/batch_normalization_34/beta/m Adam/batch_normalization_34/beta/v Adam/batch_normalization_35/beta/m Adam/batch_normalization_35/beta/v Adam/batch_normalization_36/beta/m Adam/batch_normalization_36/beta/v Adam/batch_normalization_37/beta/m Adam/batch_normalization_37/beta/v Adam/batch_normalization_38/beta/m Adam/batch_normalization_38/beta/v Adam/batch_normalization_39/beta/m Adam/batch_normalization_39/beta/v Adam/batch_normalization_4/beta/m Adam/batch_normalization_4/beta/v Adam/batch_normalization_40/beta/m Adam/batch_normalization_40/beta/v Adam/batch_normalization_41/beta/m Adam/batch_normalization_41/beta/v Adam/batch_normalization_42/beta/m Adam/batch_normalization_42/beta/v Adam/batch_normalization_43/beta/m Adam/batch_normalization_43/beta/v Adam/batch_normalization_44/beta/m Adam/batch_normalization_44/beta/v Adam/batch_normalization_45/beta/m Adam/batch_normalization_45/beta/v Adam/batch_normalization_46/beta/m Adam/batch_normalization_46/beta/v Adam/batch_normalization_47/beta/m Adam/batch_normalization_47/beta/v Adam/batch_normalization_48/beta/m Adam/batch_normalization_48/beta/v Adam/batch_normalization_49/beta/m Adam/batch_normalization_49/beta/v Adam/batch_normalization_5/beta/m Adam/batch_normalization_5/beta/v Adam/batch_normalization_50/beta/m Adam/batch_normalization_50/beta/v Adam/batch_normalization_51/beta/m Adam/batch_normalization_51/beta/v Adam/batch_normalization_52/beta/m Adam/batch_normalization_52/beta/v Adam/batch_normalization_53/beta/m Adam/batch_normalization_53/beta/v Adam/batch_normalization_54/beta/m Adam/batch_normalization_54/beta/v Adam/batch_normalization_55/beta/m Adam/batch_normalization_55/beta/v Adam/batch_normalization_56/beta/m Adam/batch_normalization_56/beta/v Adam/batch_normalization_57/beta/m Adam/batch_normalization_57/beta/v Adam/batch_normalization_58/beta/m Adam/batch_normalization_58/beta/v Adam/batch_normalization_59/beta/m Adam/batch_normalization_59/beta/v Adam/batch_normalization_6/beta/m Adam/batch_normalization_6/beta/v Adam/batch_normalization_60/beta/m Adam/batch_normalization_60/beta/v Adam/batch_normalization_61/beta/m Adam/batch_normalization_61/beta/v Adam/batch_normalization_62/beta/m Adam/batch_normalization_62/beta/v Adam/batch_normalization_63/beta/m Adam/batch_normalization_63/beta/v Adam/batch_normalization_64/beta/m Adam/batch_normalization_64/beta/v Adam/batch_normalization_65/beta/m Adam/batch_normalization_65/beta/v Adam/batch_normalization_66/beta/m Adam/batch_normalization_66/beta/v Adam/batch_normalization_67/beta/m Adam/batch_normalization_67/beta/v Adam/batch_normalization_68/beta/m Adam/batch_normalization_68/beta/v Adam/batch_normalization_69/beta/m Adam/batch_normalization_69/beta/v Adam/batch_normalization_7/beta/m Adam/batch_normalization_7/beta/v Adam/batch_normalization_70/beta/m Adam/batch_normalization_70/beta/v Adam/batch_normalization_71/beta/m Adam/batch_normalization_71/beta/v Adam/batch_normalization_72/beta/m Adam/batch_normalization_72/beta/v Adam/batch_normalization_73/beta/m Adam/batch_normalization_73/beta/v Adam/batch_normalization_74/beta/m Adam/batch_normalization_74/beta/v Adam/batch_normalization_75/beta/m Adam/batch_normalization_75/beta/v Adam/batch_normalization_76/beta/m Adam/batch_normalization_76/beta/v Adam/batch_normalization_77/beta/m Adam/batch_normalization_77/beta/v Adam/batch_normalization_78/beta/m Adam/batch_normalization_78/beta/v Adam/batch_normalization_79/beta/m Adam/batch_normalization_79/beta/v Adam/batch_normalization_8/beta/m Adam/batch_normalization_8/beta/v Adam/batch_normalization_80/beta/m Adam/batch_normalization_80/beta/v Adam/batch_normalization_81/beta/m Adam/batch_normalization_81/beta/v Adam/batch_normalization_82/beta/m Adam/batch_normalization_82/beta/v Adam/batch_normalization_83/beta/m Adam/batch_normalization_83/beta/v Adam/batch_normalization_84/beta/m Adam/batch_normalization_84/beta/v Adam/batch_normalization_85/beta/m Adam/batch_normalization_85/beta/v Adam/batch_normalization_86/beta/m Adam/batch_normalization_86/beta/v Adam/batch_normalization_87/beta/m Adam/batch_normalization_87/beta/v Adam/batch_normalization_88/beta/m Adam/batch_normalization_88/beta/v Adam/batch_normalization_89/beta/m Adam/batch_normalization_89/beta/v Adam/batch_normalization_9/beta/m Adam/batch_normalization_9/beta/v Adam/batch_normalization_90/beta/m Adam/batch_normalization_90/beta/v Adam/batch_normalization_91/beta/m Adam/batch_normalization_91/beta/v Adam/batch_normalization_92/beta/m Adam/batch_normalization_92/beta/v Adam/batch_normalization_93/beta/m Adam/batch_normalization_93/beta/v Adam/batch_normalization_94/beta/m Adam/batch_normalization_94/beta/v Adam/batch_normalization_94/gamma/m Adam/batch_normalization_94/gamma/v Adam/beta_1 Adam/beta_2 Adam/conv2d/kernel/m Adam/conv2d/kernel/v Adam/conv2d_1/kernel/m Adam/conv2d_1/kernel/v Adam/conv2d_10/kernel/m Adam/conv2d_10/kernel/v Adam/conv2d_11/kernel/m Adam/conv2d_11/kernel/v Adam/conv2d_12/kernel/m Adam/conv2d_12/kernel/v Adam/conv2d_13/kernel/m Adam/conv2d_13/kernel/v Adam/conv2d_14/kernel/m Adam/conv2d_14/kernel/v Adam/conv2d_15/kernel/m Adam/conv2d_15/kernel/v Adam/conv2d_16/kernel/m Adam/conv2d_16/kernel/v Adam/conv2d_17/kernel/m Adam/conv2d_17/kernel/v Adam/conv2d_18/kernel/m Adam/conv2d_18/kernel/v Adam/conv2d_19/kernel/m Adam/conv2d_19/kernel/v Adam/conv2d_2/kernel/m Adam/conv2d_2/kernel/v Adam/conv2d_20/kernel/m Adam/conv2d_20/kernel/v Adam/conv2d_21/kernel/m Adam/conv2d_21/kernel/v Adam/conv2d_22/kernel/m Adam/conv2d_22/kernel/v Adam/conv2d_23/kernel/m Adam/conv2d_23/kernel/v Adam/conv2d_24/kernel/m Adam/conv2d_24/kernel/v Adam/conv2d_25/kernel/m Adam/conv2d_25/kernel/v Adam/conv2d_26/kernel/m Adam/conv2d_26/kernel/v Adam/conv2d_27/kernel/m Adam/conv2d_27/kernel/v Adam/conv2d_28/kernel/m Adam/conv2d_28/kernel/v Adam/conv2d_29/kernel/m Adam/conv2d_29/kernel/v Adam/conv2d_3/kernel/m Adam/conv2d_3/kernel/v Adam/conv2d_30/kernel/m Adam/conv2d_30/kernel/v Adam/conv2d_31/kernel/m Adam/conv2d_31/kernel/v Adam/conv2d_32/kernel/m Adam/conv2d_32/kernel/v Adam/conv2d_33/kernel/m Adam/conv2d_33/kernel/v Adam/conv2d_34/kernel/m Adam/conv2d_34/kernel/v Adam/conv2d_35/kernel/m Adam/conv2d_35/kernel/v Adam/conv2d_36/kernel/m Adam/conv2d_36/kernel/v Adam/conv2d_37/kernel/m Adam/conv2d_37/kernel/v Adam/conv2d_38/kernel/m Adam/conv2d_38/kernel/v Adam/conv2d_39/kernel/m Adam/conv2d_39/kernel/v Adam/conv2d_4/kernel/m Adam/conv2d_4/kernel/v Adam/conv2d_40/kernel/m Adam/conv2d_40/kernel/v Adam/conv2d_41/kernel/m Adam/conv2d_41/kernel/v Adam/conv2d_42/kernel/m Adam/conv2d_42/kernel/v Adam/conv2d_43/kernel/m Adam/conv2d_43/kernel/v Adam/conv2d_44/kernel/m Adam/conv2d_44/kernel/v Adam/conv2d_45/kernel/m Adam/conv2d_45/kernel/v Adam/conv2d_46/kernel/m Adam/conv2d_46/kernel/v Adam/conv2d_47/kernel/m Adam/conv2d_47/kernel/v Adam/conv2d_48/kernel/m Adam/conv2d_48/kernel/v Adam/conv2d_49/kernel/m Adam/conv2d_49/kernel/v Adam/conv2d_5/kernel/m Adam/conv2d_5/kernel/v Adam/conv2d_50/kernel/m Adam/conv2d_50/kernel/v Adam/conv2d_51/kernel/m Adam/conv2d_51/kernel/v Adam/conv2d_52/kernel/m Adam/conv2d_52/kernel/v Adam/conv2d_53/kernel/m Adam/conv2d_53/kernel/v Adam/conv2d_54/kernel/m Adam/conv2d_54/kernel/v Adam/conv2d_55/kernel/m Adam/conv2d_55/kernel/v Adam/conv2d_56/kernel/m Adam/conv2d_56/kernel/v Adam/conv2d_57/kernel/m Adam/conv2d_57/kernel/v Adam/conv2d_58/kernel/m Adam/conv2d_58/kernel/v Adam/conv2d_59/kernel/m Adam/conv2d_59/kernel/v Adam/conv2d_6/kernel/m Adam/conv2d_6/kernel/v Adam/conv2d_60/kernel/m Adam/conv2d_60/kernel/v Adam/conv2d_61/kernel/m Adam/conv2d_61/kernel/v Adam/conv2d_62/kernel/m Adam/conv2d_62/kernel/v Adam/conv2d_63/kernel/m Adam/conv2d_63/kernel/v Adam/conv2d_64/kernel/m Adam/conv2d_64/kernel/v Adam/conv2d_65/kernel/m Adam/conv2d_65/kernel/v Adam/conv2d_66/kernel/m Adam/conv2d_66/kernel/v Adam/conv2d_67/kernel/m Adam/conv2d_67/kernel/v Adam/conv2d_68/kernel/m Adam/conv2d_68/kernel/v Adam/conv2d_69/kernel/m Adam/conv2d_69/kernel/v Adam/conv2d_7/kernel/m Adam/conv2d_7/kernel/v Adam/conv2d_70/kernel/m Adam/conv2d_70/kernel/v Adam/conv2d_71/kernel/m Adam/conv2d_71/kernel/v Adam/conv2d_72/kernel/m Adam/conv2d_72/kernel/v Adam/conv2d_73/kernel/m Adam/conv2d_73/kernel/v Adam/conv2d_74/kernel/m Adam/conv2d_74/kernel/v Adam/conv2d_75/kernel/m Adam/conv2d_75/kernel/v Adam/conv2d_76/kernel/m Adam/conv2d_76/kernel/v Adam/conv2d_77/kernel/m Adam/conv2d_77/kernel/v Adam/conv2d_78/kernel/m Adam/conv2d_78/kernel/v Adam/conv2d_79/kernel/m Adam/conv2d_79/kernel/v Adam/conv2d_8/kernel/m Adam/conv2d_8/kernel/v Adam/conv2d_80/kernel/m Adam/conv2d_80/kernel/v Adam/conv2d_81/kernel/m Adam/conv2d_81/kernel/v Adam/conv2d_82/kernel/m Adam/conv2d_82/kernel/v Adam/conv2d_83/kernel/m Adam/conv2d_83/kernel/v Adam/conv2d_84/kernel/m Adam/conv2d_84/kernel/v Adam/conv2d_85/kernel/m Adam/conv2d_85/kernel/v Adam/conv2d_86/kernel/m Adam/conv2d_86/kernel/v Adam/conv2d_87/kernel/m Adam/conv2d_87/kernel/v Adam/conv2d_88/kernel/m Adam/conv2d_88/kernel/v Adam/conv2d_89/kernel/m Adam/conv2d_89/kernel/v Adam/conv2d_9/kernel/m Adam/conv2d_9/kernel/v Adam/conv2d_90/kernel/m Adam/conv2d_90/kernel/v Adam/conv2d_91/kernel/m Adam/conv2d_91/kernel/v Adam/conv2d_92/kernel/m Adam/conv2d_92/kernel/v Adam/conv2d_93/kernel/m Adam/conv2d_93/kernel/v Adam/decay Adam/dense/bias/m Adam/dense/bias/v Adam/dense/kernel/m Adam/dense/kernel/v Adam/dense_1/bias/m Adam/dense_1/bias/v Adam/dense_1/kernel/m Adam/dense_1/kernel/v Adam/iter Adam/learning_rate Adam/predictions/bias/m Adam/predictions/bias/v Adam/predictions/kernel/m Adam/predictions/kernel/v [ 2019-11-25 12:33:09,030 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,044 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:09,110 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-11-25 12:33:09,125 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,140 ] [ DEBUG ] [ class_registration:267 ] 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) [ 2019-11-25 12:33:09,177 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,233 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,244 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLOV3' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLOV3' [ 2019-11-25 12:33:09,256 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,269 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,306 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,318 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,354 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'SSDToolboxDetectionOutput' doesn't exist [ INFO ] Failed to find custom replacement description with id 'SSDToolboxDetectionOutput' [ 2019-11-25 12:33:09,365 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'RetinaNetFilteredDetectionsReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'RetinaNetFilteredDetectionsReplacement' [ 2019-11-25 12:33:09,376 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,431 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,466 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,503 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,540 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,575 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,610 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,641 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:09,708 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: batch_normalization_94/batchnorm/Rsqrt [ 2019-11-25 12:33:09,723 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIOutputReplacement' [ 2019-11-25 12:33:09,735 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIConstValueOverride' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIConstValueOverride' [ 2019-11-25 12:33:09,746 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIPreprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessorReplacement' [ 2019-11-25 12:33:09,758 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPISSDPostprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPISSDPostprocessorReplacement' [ 2019-11-25 12:33:09,769 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,830 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIProposalReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIProposalReplacement' [ 2019-11-25 12:33:09,841 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,878 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLO' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLO' [ 2019-11-25 12:33:09,889 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,924 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,950 ] [ DEBUG ] [ FlattenToReshape:93 ] The node "flatten/Reshape" is actually a Flatten node [ 2019-11-25 12:33:09,962 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:09,989 ] [ DEBUG ] [ replacement:230 ] Removing nodes: ['flatten/Reshape/shape'] [ 2019-11-25 12:33:10,001 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,016 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,016 ] [ DEBUG ] [ mvn_unrolled:34 ] Enabled MVN replacement [ 2019-11-25 12:33:10,049 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,049 ] [ DEBUG ] [ mvn:33 ] Enabled MVN replacement [ 2019-11-25 12:33:10,081 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,117 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,153 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,188 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'InterpolateTranspose' doesn't exist [ INFO ] Failed to find custom replacement description with id 'InterpolateTranspose' [ 2019-11-25 12:33:10,200 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,236 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,272 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,307 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,308 ] [ DEBUG ] [ GNMT_DynamicSequenceLengths:42 ] +++++++++++++++ GNMT Sequence Lengths ConditionMatching ++++++++++++++++ [ 2019-11-25 12:33:10,339 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,352 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-11-25 12:33:10,387 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,423 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,459 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,470 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,506 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,542 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,578 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement' [ 2019-11-25 12:33:10,589 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,624 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,660 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIPSROIPoolingReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIPSROIPoolingReplacement' [ 2019-11-25 12:33:10,672 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,698 ] [ DEBUG ] [ replacement:114 ] Created edge from batch_normalization_94/batchnorm/sub/add_ to batch_normalization_94/batchnorm/add_1 with attrs: {'in': 1, 'out': 0, 'fw_tensor_debug_info': [('batch_normalization_94/batchnorm/sub', 0)], 'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'control_flow_edge': False} [ 2019-11-25 12:33:10,698 ] [ DEBUG ] [ replacement:230 ] Removing nodes: ['batch_normalization_94/batchnorm/sub'] [ 2019-11-25 12:33:10,710 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' [ 2019-11-25 12:33:10,721 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' [ 2019-11-25 12:33:10,733 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,769 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,802 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,891 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:10,928 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,024 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,060 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,096 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,132 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,168 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,203 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,239 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,251 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,331 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:11,473 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: flatten/Reshape/shape/1 flatten/Reshape/shape/1/Output_0/Data_ flatten/Reshape/shape/Concat_ flatten/Reshape/shape/ExpandDims_ flatten/Reshape/shape/ExpandDims_/Dims flatten/Reshape/shape/ExpandDims_/Dims/Output_0/Data_ flatten/Reshape/shape/ExpandDims_1622 flatten/Reshape/shape/ExpandDims_1622/Dims flatten/Reshape/shape/ExpandDims_1622/Dims/Output_0/Data_ flatten/Reshape/shape/ExpandDims_16221625 flatten/Reshape/shape/ExpandDims_16221625/Output_0/Data_ flatten/Reshape/shape/ExpandDims_1623 flatten/Reshape/shape/ExpandDims_1623/Output_0/Data_ flatten/Shape flatten/Shape/Output_0/Data_ flatten/strided_slice flatten/strided_slice/Output_0/Data_ flatten/strided_slice/stack flatten/strided_slice/stack/Output_0/Data_ flatten/strided_slice/stack_1 flatten/strided_slice/stack_1/Output_0/Data_ flatten/strided_slice/stack_2 flatten/strided_slice/stack_2/Output_0/Data_ [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,513 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,514 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,515 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,516 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,517 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,518 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,519 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,520 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,521 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,522 ] [ DEBUG ] [ class_registration:244 ] Replacer will be run before [ 2019-11-25 12:33:11,522 ] [ DEBUG ] [ class_registration:247 ] Replacer will be run after [ 2019-11-25 12:33:11,526 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:11,548 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,548 ] [ DEBUG ] [ infer:130 ] Partial infer for 1627 [ 2019-11-25 12:33:11,548 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,548 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,548 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,548 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = -1 [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:130 ] Partial infer for 1619 [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [2], value = [ 0 -1] [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:130 ] Partial infer for 1617 [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,549 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = -0.5 [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/bias [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [20], value = [0.3403817 0.39151627 0.42512995 0.46717694 0.4960701 0.9962004 1.0297614 1.0687846 1.109243... [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/BiasAdd/ReadVariableOp [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,550 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,551 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [20], value = [0.3403817 0.39151627 0.42512995 0.46717694 0.4960701 0.9962004 1.0297614 1.0687846 1.109243... [ 2019-11-25 12:33:11,551 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,551 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [20], value = [0.3403817 0.39151627 0.42512995 0.46717694 0.4960701 0.9962004 1.0297614 1.0687846 1.109243... [ 2019-11-25 12:33:11,551 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,551 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/kernel [ 2019-11-25 12:33:11,551 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,552 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,552 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,554 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [16 20], value = [[-0.12534949 -0.11875605 0.10180242 -0.02666565 -0.07168168 0.16015922 0.43393272 0.777862... [ 2019-11-25 12:33:11,554 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,554 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/MatMul/ReadVariableOp [ 2019-11-25 12:33:11,554 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,554 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,556 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [16 20], value = [[-0.12534949 -0.11875605 0.10180242 -0.02666565 -0.07168168 0.16015922 0.43393272 0.777862... [ 2019-11-25 12:33:11,556 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,558 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [16 20], value = [[-0.12534949 -0.11875605 0.10180242 -0.02666565 -0.07168168 0.16015922 0.43393272 0.777862... [ 2019-11-25 12:33:11,558 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:130 ] Partial infer for dense_1/bias [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [16], value = [ 0.00157677 0.00409005 -0.01768776 -0.00829388 0.00576262 -0.01408078 -0.01083862 -0.00057901... [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:130 ] Partial infer for dense_1/BiasAdd/ReadVariableOp [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,559 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [16], value = [ 0.00157677 0.00409005 -0.01768776 -0.00829388 0.00576262 -0.01408078 -0.01083862 -0.00057901... [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [16], value = [ 0.00157677 0.00409005 -0.01768776 -0.00829388 0.00576262 -0.01408078 -0.01083862 -0.00057901... [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:130 ] Partial infer for dense_1/kernel [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,560 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,564 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32 16], value = [[-5.54570556e-02 2.03553990e-01 -1.53441861e-01 3.27129252e-02 -5.27309999e-03 -1.29391313e-... [ 2019-11-25 12:33:11,564 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,564 ] [ DEBUG ] [ infer:130 ] Partial infer for dense_1/MatMul/ReadVariableOp [ 2019-11-25 12:33:11,564 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,564 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,568 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32 16], value = [[-5.54570556e-02 2.03553990e-01 -1.53441861e-01 3.27129252e-02 -5.27309999e-03 -1.29391313e-... [ 2019-11-25 12:33:11,568 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,571 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32 16], value = [[-5.54570556e-02 2.03553990e-01 -1.53441861e-01 3.27129252e-02 -5.27309999e-03 -1.29391313e-... [ 2019-11-25 12:33:11,571 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,571 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/add/y [ 2019-11-25 12:33:11,571 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,571 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,571 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 0.001 [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/moving_variance [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 3956.4978 28109.877 5216.9287 3951.5867 3937.7136 4147.634 3729.4534 11515.042 4744.38... [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/ReadVariableOp [ 2019-11-25 12:33:11,572 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,573 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,573 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 3956.4978 28109.877 5216.9287 3951.5867 3937.7136 4147.634 3729.4534 11515.042 4744.38... [ 2019-11-25 12:33:11,573 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,573 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 3956.4978 28109.877 5216.9287 3951.5867 3937.7136 4147.634 3729.4534 11515.042 4744.38... [ 2019-11-25 12:33:11,574 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,574 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/add [ 2019-11-25 12:33:11,574 ] [ DEBUG ] [ infer:131 ] Op: Add [ 2019-11-25 12:33:11,574 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,574 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 3956.4978 28109.877 5216.9287 3951.5867 3937.7136 4147.634 3729.4534 11515.042 4744.38... [ 2019-11-25 12:33:11,574 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [], value = 0.001 [ 2019-11-25 12:33:11,574 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,575 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 3956.4988 28109.879 5216.9297 3951.5876 3937.7146 4147.635 3729.4543 11515.043 4744.38... [ 2019-11-25 12:33:11,575 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,575 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/Rsqrt/pow_ [ 2019-11-25 12:33:11,575 ] [ DEBUG ] [ infer:131 ] Op: Pow [ 2019-11-25 12:33:11,575 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 3956.4988 28109.879 5216.9297 3951.5876 3937.7146 4147.635 3729.4543 11515.043 4744.38... [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [], value = -0.5 [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [0.01589807 0.00596445 0.01384499 0.01590795 0.01593595 0.01552744 0.01637485 0.00931896 0.01451... [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/moving_mean [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,576 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,577 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [2.8498745 4.9283404 3.917227 3.6749299 4.01579 3.7135048 3.0593152 4.0216165 2.6495368 2.896... [ 2019-11-25 12:33:11,577 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,577 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,577 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,577 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [2.8498745 4.9283404 3.917227 3.6749299 4.01579 3.7135048 3.0593152 4.0216165 2.6495368 2.896... [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [2.8498745 4.9283404 3.917227 3.6749299 4.01579 3.7135048 3.0593152 4.0216165 2.6495368 2.896... [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/beta [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,578 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,579 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-0.01928055 -0.00642809 0.01129243 -0.01024014 0.0059792 0.00075913 -0.00237083 -0.0230823 ... [ 2019-11-25 12:33:11,579 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,579 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/ReadVariableOp_2 [ 2019-11-25 12:33:11,579 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,579 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [-0.01928055 -0.00642809 0.01129243 -0.01024014 0.0059792 0.00075913 -0.00237083 -0.0230823 ... [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-0.01928055 -0.00642809 0.01129243 -0.01024014 0.0059792 0.00075913 -0.00237083 -0.0230823 ... [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/gamma [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,580 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,581 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-0.00152126 0.02758789 0.01474175 -0.03362 0.00708664 0.02332942 -0.02337538 -0.00139995... [ 2019-11-25 12:33:11,581 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,581 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/mul/ReadVariableOp [ 2019-11-25 12:33:11,581 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,581 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,582 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [-0.00152126 0.02758789 0.01474175 -0.03362 0.00708664 0.02332942 -0.02337538 -0.00139995... [ 2019-11-25 12:33:11,582 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,582 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-0.00152126 0.02758789 0.01474175 -0.03362 0.00708664 0.02332942 -0.02337538 -0.00139995... [ 2019-11-25 12:33:11,582 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,582 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/mul [ 2019-11-25 12:33:11,582 ] [ DEBUG ] [ infer:131 ] Op: Mul [ 2019-11-25 12:33:11,583 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,583 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [0.01589807 0.00596445 0.01384499 0.01590795 0.01593595 0.01552744 0.01637485 0.00931896 0.01451... [ 2019-11-25 12:33:11,583 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [-0.00152126 0.02758789 0.01474175 -0.03362 0.00708664 0.02332942 -0.02337538 -0.00139995... [ 2019-11-25 12:33:11,583 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,584 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-2.4185139e-05 1.6454663e-04 2.0409925e-04 -5.3482526e-04 1.1293233e-04 3.6224606e-04 -3.82... [ 2019-11-25 12:33:11,584 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,584 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/mul_2 [ 2019-11-25 12:33:11,584 ] [ DEBUG ] [ infer:131 ] Op: Mul [ 2019-11-25 12:33:11,584 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,585 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [2.8498745 4.9283404 3.917227 3.6749299 4.01579 3.7135048 3.0593152 4.0216165 2.6495368 2.896... [ 2019-11-25 12:33:11,585 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [-2.4185139e-05 1.6454663e-04 2.0409925e-04 -5.3482526e-04 1.1293233e-04 3.6224606e-04 -3.82... [ 2019-11-25 12:33:11,585 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,586 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-6.8924615e-05 8.1094180e-04 7.9950312e-04 -1.9654452e-03 4.5351250e-04 1.3452024e-03 -1.17... [ 2019-11-25 12:33:11,586 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,586 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/sub/negate_ [ 2019-11-25 12:33:11,586 ] [ DEBUG ] [ infer:131 ] Op: Mul [ 2019-11-25 12:33:11,586 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,586 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [-6.8924615e-05 8.1094180e-04 7.9950312e-04 -1.9654452e-03 4.5351250e-04 1.3452024e-03 -1.17... [ 2019-11-25 12:33:11,587 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [], value = -1 [ 2019-11-25 12:33:11,587 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,587 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 6.8924615e-05 -8.1094180e-04 -7.9950312e-04 1.9654452e-03 -4.5351250e-04 -1.3452024e-03 1.17... [ 2019-11-25 12:33:11,587 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,587 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/sub/add_ [ 2019-11-25 12:33:11,587 ] [ DEBUG ] [ infer:131 ] Op: Add [ 2019-11-25 12:33:11,587 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,588 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 6.8924615e-05 -8.1094180e-04 -7.9950312e-04 1.9654452e-03 -4.5351250e-04 -1.3452024e-03 1.17... [ 2019-11-25 12:33:11,588 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [-0.01928055 -0.00642809 0.01129243 -0.01024014 0.0059792 0.00075913 -0.00237083 -0.0230823 ... [ 2019-11-25 12:33:11,588 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,589 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-1.9211629e-02 -7.2390311e-03 1.0492925e-02 -8.2746930e-03 5.5256910e-03 -5.8607088e-04 -1.19... [ 2019-11-25 12:33:11,589 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,589 ] [ DEBUG ] [ infer:130 ] Partial infer for dense/bias [ 2019-11-25 12:33:11,589 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,589 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,589 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,589 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-1.1922582e-03 -4.1456131e-04 6.1448780e-04 -2.3196612e-03 7.5739139e-04 -1.0851265e-03 1.36... [ 2019-11-25 12:33:11,590 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,590 ] [ DEBUG ] [ infer:130 ] Partial infer for dense/BiasAdd/ReadVariableOp [ 2019-11-25 12:33:11,590 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,590 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,590 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [-1.1922582e-03 -4.1456131e-04 6.1448780e-04 -2.3196612e-03 7.5739139e-04 -1.0851265e-03 1.36... [ 2019-11-25 12:33:11,590 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,591 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-1.1922582e-03 -4.1456131e-04 6.1448780e-04 -2.3196612e-03 7.5739139e-04 -1.0851265e-03 1.36... [ 2019-11-25 12:33:11,591 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,591 ] [ DEBUG ] [ infer:130 ] Partial infer for dense/kernel [ 2019-11-25 12:33:11,591 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,591 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,591 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,592 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [239616 32], value = [[-0.78977716 0.5989337 0.56365955 ... 0.5615635 0.6162688 -0.591427 ] [-0.7133844 0.... [ 2019-11-25 12:33:11,592 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,592 ] [ DEBUG ] [ infer:130 ] Partial infer for dense/MatMul/ReadVariableOp [ 2019-11-25 12:33:11,592 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,592 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,592 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [239616 32], value = [[-0.78977716 0.5989337 0.56365955 ... 0.5615635 0.6162688 -0.591427 ] [-0.7133844 0.... [ 2019-11-25 12:33:11,592 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [239616 32], value = [[-0.78977716 0.5989337 0.56365955 ... 0.5615635 0.6162688 -0.591427 ] [-0.7133844 0.... [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed10/concat/axis [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:130 ] Partial infer for concatenate_1/concat/axis [ 2019-11-25 12:33:11,593 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed9_1/concat/axis [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/moving_variance [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,594 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,596 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [11577.044 18990.174 6123.516 10624.03 5519.6226 23129.674 14351.903 20683.246 ... [ 2019-11-25 12:33:11,596 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,596 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,596 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,596 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,598 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [11577.044 18990.174 6123.516 10624.03 5519.6226 23129.674 14351.903 20683.246 ... [ 2019-11-25 12:33:11,598 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,599 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [11577.044 18990.174 6123.516 10624.03 5519.6226 23129.674 14351.903 20683.246 ... [ 2019-11-25 12:33:11,599 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,599 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/moving_mean [ 2019-11-25 12:33:11,599 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,599 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,599 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,601 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -9.972821 -13.21741 -5.034607 -12.75564 -7.3792944 7.391784 12.839257 -14.3... [ 2019-11-25 12:33:11,601 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,601 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,601 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,601 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,602 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ -9.972821 -13.21741 -5.034607 -12.75564 -7.3792944 7.391784 12.839257 -14.3... [ 2019-11-25 12:33:11,603 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,604 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -9.972821 -13.21741 -5.034607 -12.75564 -7.3792944 7.391784 12.839257 -14.3... [ 2019-11-25 12:33:11,604 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,604 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/beta [ 2019-11-25 12:33:11,604 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,604 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,604 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,606 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-3.895578 -0.79369247 -0.74636513 -1.400258 -0.88298494 -1.5983043 -1.6840012 -1.3736472 ... [ 2019-11-25 12:33:11,606 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,606 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/ReadVariableOp [ 2019-11-25 12:33:11,606 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,606 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,607 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-3.895578 -0.79369247 -0.74636513 -1.400258 -0.88298494 -1.5983043 -1.6840012 -1.3736472 ... [ 2019-11-25 12:33:11,607 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,609 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-3.895578 -0.79369247 -0.74636513 -1.400258 -0.88298494 -1.5983043 -1.6840012 -1.3736472 ... [ 2019-11-25 12:33:11,609 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,609 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/Const [ 2019-11-25 12:33:11,609 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,609 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,609 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,610 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,610 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,610 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/moving_variance [ 2019-11-25 12:33:11,610 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,610 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,610 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,613 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [23687.744 21807.174 4179.438 13484.423 2786.4631 1752.9197 7736.9067 9779.673 ... [ 2019-11-25 12:33:11,613 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,613 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,613 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,613 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,615 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [23687.744 21807.174 4179.438 13484.423 2786.4631 1752.9197 7736.9067 9779.673 ... [ 2019-11-25 12:33:11,615 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,617 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [23687.744 21807.174 4179.438 13484.423 2786.4631 1752.9197 7736.9067 9779.673 ... [ 2019-11-25 12:33:11,618 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,618 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/moving_mean [ 2019-11-25 12:33:11,618 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,618 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,618 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,620 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-13.08442 -13.217874 -2.5265193 -8.218045 -7.076345 -3.6405873 -2.5894725 -9.14... [ 2019-11-25 12:33:11,620 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,620 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,620 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,620 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,622 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [-13.08442 -13.217874 -2.5265193 -8.218045 -7.076345 -3.6405873 -2.5894725 -9.14... [ 2019-11-25 12:33:11,622 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,624 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-13.08442 -13.217874 -2.5265193 -8.218045 -7.076345 -3.6405873 -2.5894725 -9.14... [ 2019-11-25 12:33:11,625 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,625 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/beta [ 2019-11-25 12:33:11,625 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,625 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,625 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,627 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-2.2582676 -1.5871732 -0.88645846 -1.2772689 -0.78811973 -0.9710662 -0.75098735 -1.5080069 ... [ 2019-11-25 12:33:11,627 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,627 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/ReadVariableOp [ 2019-11-25 12:33:11,627 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,627 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,629 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [-2.2582676 -1.5871732 -0.88645846 -1.2772689 -0.78811973 -0.9710662 -0.75098735 -1.5080069 ... [ 2019-11-25 12:33:11,630 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,632 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-2.2582676 -1.5871732 -0.88645846 -1.2772689 -0.78811973 -0.9710662 -0.75098735 -1.5080069 ... [ 2019-11-25 12:33:11,632 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,632 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/Const [ 2019-11-25 12:33:11,632 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,632 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,632 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,634 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,634 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,634 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_93/kernel [ 2019-11-25 12:33:11,634 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,635 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,635 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,635 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 192], value = [[[[ 0.59435916 0.59434587 -0.57679886 ... 0.5029964 -0.599323 0.54262125] [-0.5840249... [ 2019-11-25 12:33:11,635 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,635 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_93/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,635 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,635 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,636 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 2048 192], value = [[[[ 0.59435916 0.59434587 -0.57679886 ... 0.5029964 -0.599323 0.54262125] [-0.5840249... [ 2019-11-25 12:33:11,636 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,636 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 192], value = [[[[ 0.59435916 0.59434587 -0.57679886 ... 0.5029964 -0.599323 0.54262125] [-0.5840249... [ 2019-11-25 12:33:11,637 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,637 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/moving_variance [ 2019-11-25 12:33:11,637 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,637 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,637 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,639 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1184.5345 798.5334 1121.9683 815.1697 3019.4688 4026.7092 6546.261 5327.2817 ... [ 2019-11-25 12:33:11,639 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,639 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,640 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,640 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,642 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 1184.5345 798.5334 1121.9683 815.1697 3019.4688 4026.7092 6546.261 5327.2817 ... [ 2019-11-25 12:33:11,642 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,645 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1184.5345 798.5334 1121.9683 815.1697 3019.4688 4026.7092 6546.261 5327.2817 ... [ 2019-11-25 12:33:11,645 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,645 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/moving_mean [ 2019-11-25 12:33:11,645 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,645 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,645 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,647 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.72284298e+01 -1.11065712e+01 -7.27165127e+00 -3.77253962e+00 -8.86828423e+00 -1.57008934e+01... [ 2019-11-25 12:33:11,648 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,648 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,648 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,648 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,650 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-1.72284298e+01 -1.11065712e+01 -7.27165127e+00 -3.77253962e+00 -8.86828423e+00 -1.57008934e+01... [ 2019-11-25 12:33:11,650 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,653 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.72284298e+01 -1.11065712e+01 -7.27165127e+00 -3.77253962e+00 -8.86828423e+00 -1.57008934e+01... [ 2019-11-25 12:33:11,653 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,653 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/beta [ 2019-11-25 12:33:11,653 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,653 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,653 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,656 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.7999738 -0.656106 -0.663979 -0.6457278 -0.61390215 -1.2515123 -1.1360586 -1.7300746 ... [ 2019-11-25 12:33:11,656 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,656 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/ReadVariableOp [ 2019-11-25 12:33:11,656 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,656 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,659 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-0.7999738 -0.656106 -0.663979 -0.6457278 -0.61390215 -1.2515123 -1.1360586 -1.7300746 ... [ 2019-11-25 12:33:11,659 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,661 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.7999738 -0.656106 -0.663979 -0.6457278 -0.61390215 -1.2515123 -1.1360586 -1.7300746 ... [ 2019-11-25 12:33:11,661 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,661 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/Const [ 2019-11-25 12:33:11,661 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,661 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,661 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,664 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,664 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,664 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/moving_variance [ 2019-11-25 12:33:11,664 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,664 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,664 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,667 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 841.3667 7000.01 1212.0831 554.70435 4178.7773 1275.6471 2718.507 1668.5819 ... [ 2019-11-25 12:33:11,667 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,667 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,667 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,667 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,670 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 841.3667 7000.01 1212.0831 554.70435 4178.7773 1275.6471 2718.507 1668.5819 ... [ 2019-11-25 12:33:11,670 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,672 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 841.3667 7000.01 1212.0831 554.70435 4178.7773 1275.6471 2718.507 1668.5819 ... [ 2019-11-25 12:33:11,672 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,672 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/moving_mean [ 2019-11-25 12:33:11,672 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,672 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,672 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,675 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.17887583e+01 -1.66121368e+01 -1.57084990e+01 -2.03848457e+01 -3.54658651e+00 -1.06237049e+01... [ 2019-11-25 12:33:11,675 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,675 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,675 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,675 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,678 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-1.17887583e+01 -1.66121368e+01 -1.57084990e+01 -2.03848457e+01 -3.54658651e+00 -1.06237049e+01... [ 2019-11-25 12:33:11,678 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,680 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.17887583e+01 -1.66121368e+01 -1.57084990e+01 -2.03848457e+01 -3.54658651e+00 -1.06237049e+01... [ 2019-11-25 12:33:11,680 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,680 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/beta [ 2019-11-25 12:33:11,681 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,681 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,681 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,683 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.0951167 -1.6588347 -0.62047416 -1.5616425 -1.6865035 -0.5901303 -1.1870579 -0.66938025 ... [ 2019-11-25 12:33:11,683 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,683 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/ReadVariableOp [ 2019-11-25 12:33:11,683 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,684 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,686 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-1.0951167 -1.6588347 -0.62047416 -1.5616425 -1.6865035 -0.5901303 -1.1870579 -0.66938025 ... [ 2019-11-25 12:33:11,686 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,688 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.0951167 -1.6588347 -0.62047416 -1.5616425 -1.6865035 -0.5901303 -1.1870579 -0.66938025 ... [ 2019-11-25 12:33:11,689 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,689 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/Const [ 2019-11-25 12:33:11,689 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,689 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,689 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,691 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,691 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,691 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/moving_variance [ 2019-11-25 12:33:11,691 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,691 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,691 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,694 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 474.7053 2725.9949 649.61865 703.21106 1472.325 2337.5042 513.6464 1682.009 ... [ 2019-11-25 12:33:11,694 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,694 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,694 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,694 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,697 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 474.7053 2725.9949 649.61865 703.21106 1472.325 2337.5042 513.6464 1682.009 ... [ 2019-11-25 12:33:11,697 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,699 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 474.7053 2725.9949 649.61865 703.21106 1472.325 2337.5042 513.6464 1682.009 ... [ 2019-11-25 12:33:11,700 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,700 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/moving_mean [ 2019-11-25 12:33:11,700 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,700 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,700 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,702 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.5070167 -2.1847913 -0.76742834 -0.86832464 -0.84827 -1.2744484 -1.0480878 -1.6065893 ... [ 2019-11-25 12:33:11,703 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,703 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,703 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,703 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,705 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-0.5070167 -2.1847913 -0.76742834 -0.86832464 -0.84827 -1.2744484 -1.0480878 -1.6065893 ... [ 2019-11-25 12:33:11,705 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,708 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.5070167 -2.1847913 -0.76742834 -0.86832464 -0.84827 -1.2744484 -1.0480878 -1.6065893 ... [ 2019-11-25 12:33:11,708 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,708 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/beta [ 2019-11-25 12:33:11,708 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,708 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,708 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,711 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.6138177 -2.0657563 -1.0576671 -0.65428823 -1.5850743 -2.4918592 -0.8363624 -1.2199615 ... [ 2019-11-25 12:33:11,711 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,711 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/ReadVariableOp [ 2019-11-25 12:33:11,711 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,711 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,713 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-0.6138177 -2.0657563 -1.0576671 -0.65428823 -1.5850743 -2.4918592 -0.8363624 -1.2199615 ... [ 2019-11-25 12:33:11,713 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,716 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.6138177 -2.0657563 -1.0576671 -0.65428823 -1.5850743 -2.4918592 -0.8363624 -1.2199615 ... [ 2019-11-25 12:33:11,716 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,716 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/Const [ 2019-11-25 12:33:11,716 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,716 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,716 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,718 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,719 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,719 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/moving_variance [ 2019-11-25 12:33:11,719 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,719 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,719 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,721 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1028.4784 703.74396 1286.4197 253.16039 1133.4487 996.7517 907.51263 287.31256 549.446... [ 2019-11-25 12:33:11,721 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,721 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,721 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,722 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,724 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [1028.4784 703.74396 1286.4197 253.16039 1133.4487 996.7517 907.51263 287.31256 549.446... [ 2019-11-25 12:33:11,724 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,727 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1028.4784 703.74396 1286.4197 253.16039 1133.4487 996.7517 907.51263 287.31256 549.446... [ 2019-11-25 12:33:11,727 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,727 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/moving_mean [ 2019-11-25 12:33:11,727 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,727 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,727 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,730 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.9704137 -1.2669607 -1.0534958 -0.19322376 -1.5744635 -1.124727 -0.82407576 -0.3778007 -... [ 2019-11-25 12:33:11,730 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,730 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,730 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,730 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,733 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-0.9704137 -1.2669607 -1.0534958 -0.19322376 -1.5744635 -1.124727 -0.82407576 -0.3778007 -... [ 2019-11-25 12:33:11,733 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,735 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.9704137 -1.2669607 -1.0534958 -0.19322376 -1.5744635 -1.124727 -0.82407576 -0.3778007 -... [ 2019-11-25 12:33:11,735 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,736 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/beta [ 2019-11-25 12:33:11,736 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,736 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,736 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,738 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.440578 -0.9924826 -1.4072632 -0.609297 -0.97456163 -0.8621638 -0.7731618 -0.7030162 ... [ 2019-11-25 12:33:11,738 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,738 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/ReadVariableOp [ 2019-11-25 12:33:11,738 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,739 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,741 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-0.440578 -0.9924826 -1.4072632 -0.609297 -0.97456163 -0.8621638 -0.7731618 -0.7030162 ... [ 2019-11-25 12:33:11,741 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,744 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.440578 -0.9924826 -1.4072632 -0.609297 -0.97456163 -0.8621638 -0.7731618 -0.7030162 ... [ 2019-11-25 12:33:11,744 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,744 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/Const [ 2019-11-25 12:33:11,744 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,744 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,744 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,746 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,746 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,746 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_85/kernel [ 2019-11-25 12:33:11,746 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,747 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,747 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,747 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 320], value = [[[[ 0.5771574 0.5987603 -0.5843473 ... -0.58435714 0.60457367 0.5931432 ] [ 0.59072... [ 2019-11-25 12:33:11,747 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,747 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_85/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,747 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,747 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,748 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 2048 320], value = [[[[ 0.5771574 0.5987603 -0.5843473 ... -0.58435714 0.60457367 0.5931432 ] [ 0.59072... [ 2019-11-25 12:33:11,748 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,748 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 320], value = [[[[ 0.5771574 0.5987603 -0.5843473 ... -0.58435714 0.60457367 0.5931432 ] [ 0.59072... [ 2019-11-25 12:33:11,749 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,749 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_92/kernel [ 2019-11-25 12:33:11,749 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,749 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,749 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,750 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[ 0.40816903 -0.65064627 -0.81617886 ... -0.6606778 0.3470721 0.2985333 ] [-0.640473... [ 2019-11-25 12:33:11,750 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,750 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_92/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,750 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,750 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,751 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 1 384 384], value = [[[[ 0.40816903 -0.65064627 -0.81617886 ... -0.6606778 0.3470721 0.2985333 ] [-0.640473... [ 2019-11-25 12:33:11,751 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,752 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[ 0.40816903 -0.65064627 -0.81617886 ... -0.6606778 0.3470721 0.2985333 ] [-0.640473... [ 2019-11-25 12:33:11,752 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,752 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_91/kernel [ 2019-11-25 12:33:11,752 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,752 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,753 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,754 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[-0.6749735 -0.93706876 0.58452034 ... 0.55239034 -0.75449276 0.59871376] [-0.59893... [ 2019-11-25 12:33:11,754 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,754 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_91/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,754 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,754 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,755 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 3 384 384], value = [[[[-0.6749735 -0.93706876 0.58452034 ... 0.55239034 -0.75449276 0.59871376] [-0.59893... [ 2019-11-25 12:33:11,755 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,756 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[-0.6749735 -0.93706876 0.58452034 ... 0.55239034 -0.75449276 0.59871376] [-0.59893... [ 2019-11-25 12:33:11,756 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,756 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_88/kernel [ 2019-11-25 12:33:11,756 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,756 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,756 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,757 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[-0.02181326 0.45418093 0.44257176 ... -0.7346285 -0.8367388 1.2246397 ] [ 0.543954... [ 2019-11-25 12:33:11,757 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,757 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_88/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,757 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,758 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,759 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 1 384 384], value = [[[[-0.02181326 0.45418093 0.44257176 ... -0.7346285 -0.8367388 1.2246397 ] [ 0.543954... [ 2019-11-25 12:33:11,759 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,760 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[-0.02181326 0.45418093 0.44257176 ... -0.7346285 -0.8367388 1.2246397 ] [ 0.543954... [ 2019-11-25 12:33:11,760 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,760 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_87/kernel [ 2019-11-25 12:33:11,760 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,760 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,760 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,761 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[ 0.02902499 -0.6498338 0.52392197 ... -0.80067444 0.5024299 0.22355427] [ 0.603718... [ 2019-11-25 12:33:11,761 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,761 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_87/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,761 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,761 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,762 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 3 384 384], value = [[[[ 0.02902499 -0.6498338 0.52392197 ... -0.80067444 0.5024299 0.22355427] [ 0.603718... [ 2019-11-25 12:33:11,762 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,763 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[ 0.02902499 -0.6498338 0.52392197 ... -0.80067444 0.5024299 0.22355427] [ 0.603718... [ 2019-11-25 12:33:11,763 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,763 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/moving_variance [ 2019-11-25 12:33:11,763 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,764 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,764 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,767 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 5291.448 3584.5256 3434.0476 4809.779 926.6862 21487.568 2429.82 8300.929 ... [ 2019-11-25 12:33:11,767 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,767 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,767 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,767 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,769 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 5291.448 3584.5256 3434.0476 4809.779 926.6862 21487.568 2429.82 8300.929 ... [ 2019-11-25 12:33:11,770 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,772 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 5291.448 3584.5256 3434.0476 4809.779 926.6862 21487.568 2429.82 8300.929 ... [ 2019-11-25 12:33:11,772 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,772 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/moving_mean [ 2019-11-25 12:33:11,772 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,772 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,772 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,775 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 8.04963303e+00 -1.07609863e+01 2.48804402e+00 -1.17361689e+01 -7.04184437e+00 -1.85216599e+01... [ 2019-11-25 12:33:11,775 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,775 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,775 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,775 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,778 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 8.04963303e+00 -1.07609863e+01 2.48804402e+00 -1.17361689e+01 -7.04184437e+00 -1.85216599e+01... [ 2019-11-25 12:33:11,778 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,780 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 8.04963303e+00 -1.07609863e+01 2.48804402e+00 -1.17361689e+01 -7.04184437e+00 -1.85216599e+01... [ 2019-11-25 12:33:11,780 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,781 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/beta [ 2019-11-25 12:33:11,781 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,781 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,781 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,783 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.36793298 -0.57075113 -1.6248045 -0.831416 -1.2478929 -0.78619766 -1.5521696 -1.2012659 ... [ 2019-11-25 12:33:11,783 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,783 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/ReadVariableOp [ 2019-11-25 12:33:11,783 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,784 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,786 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-0.36793298 -0.57075113 -1.6248045 -0.831416 -1.2478929 -0.78619766 -1.5521696 -1.2012659 ... [ 2019-11-25 12:33:11,786 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,789 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.36793298 -0.57075113 -1.6248045 -0.831416 -1.2478929 -0.78619766 -1.5521696 -1.2012659 ... [ 2019-11-25 12:33:11,789 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,789 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/Const [ 2019-11-25 12:33:11,789 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,789 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,789 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,791 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,791 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,792 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/moving_variance [ 2019-11-25 12:33:11,792 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,792 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,792 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,794 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1676.7114 2799.1719 3408.4045 1718.4492 1356.5608 6340.7266 45774.72 4545.095 ... [ 2019-11-25 12:33:11,794 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,794 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,794 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,795 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,797 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 1676.7114 2799.1719 3408.4045 1718.4492 1356.5608 6340.7266 45774.72 4545.095 ... [ 2019-11-25 12:33:11,797 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,800 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1676.7114 2799.1719 3408.4045 1718.4492 1356.5608 6340.7266 45774.72 4545.095 ... [ 2019-11-25 12:33:11,800 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,800 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/moving_mean [ 2019-11-25 12:33:11,800 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,800 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,801 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,803 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ -2.8397977 -2.0458715 -7.2574615 -2.6371994 -4.484473 -10.056823 -14.227751 -7.78... [ 2019-11-25 12:33:11,803 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,803 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,803 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,804 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,806 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ -2.8397977 -2.0458715 -7.2574615 -2.6371994 -4.484473 -10.056823 -14.227751 -7.78... [ 2019-11-25 12:33:11,806 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,809 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ -2.8397977 -2.0458715 -7.2574615 -2.6371994 -4.484473 -10.056823 -14.227751 -7.78... [ 2019-11-25 12:33:11,809 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,809 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/beta [ 2019-11-25 12:33:11,809 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,809 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,809 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,811 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.4845879 -0.54373515 -1.3531129 -2.229337 -0.6219588 -2.2277417 -1.4331374 -2.1371856 ... [ 2019-11-25 12:33:11,812 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,812 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/ReadVariableOp [ 2019-11-25 12:33:11,812 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,812 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,814 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-1.4845879 -0.54373515 -1.3531129 -2.229337 -0.6219588 -2.2277417 -1.4331374 -2.1371856 ... [ 2019-11-25 12:33:11,814 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,817 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.4845879 -0.54373515 -1.3531129 -2.229337 -0.6219588 -2.2277417 -1.4331374 -2.1371856 ... [ 2019-11-25 12:33:11,817 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,817 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/Const [ 2019-11-25 12:33:11,817 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,817 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,817 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,820 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,820 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,820 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_90/kernel [ 2019-11-25 12:33:11,820 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,820 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,820 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,822 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 448 384], value = [[[[ 0.1456829 -0.6392745 0.6580291 ... -0.80836886 -0.5103119 -0.6209563 ] [ 0.801046... [ 2019-11-25 12:33:11,822 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,822 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_90/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,822 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,823 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,825 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 448 384], value = [[[[ 0.1456829 -0.6392745 0.6580291 ... -0.80836886 -0.5103119 -0.6209563 ] [ 0.801046... [ 2019-11-25 12:33:11,825 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,827 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 448 384], value = [[[[ 0.1456829 -0.6392745 0.6580291 ... -0.80836886 -0.5103119 -0.6209563 ] [ 0.801046... [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_86/kernel [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 384], value = [[[[ 0.558849 -0.58756316 0.577527 ... 0.59546214 -0.58747876 0.5889646 ] [ 0.60234... [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_86/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,828 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,829 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,829 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 2048 384], value = [[[[ 0.558849 -0.58756316 0.577527 ... 0.59546214 -0.58747876 0.5889646 ] [ 0.60234... [ 2019-11-25 12:33:11,829 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,830 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 384], value = [[[[ 0.558849 -0.58756316 0.577527 ... 0.59546214 -0.58747876 0.5889646 ] [ 0.60234... [ 2019-11-25 12:33:11,830 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,830 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/moving_variance [ 2019-11-25 12:33:11,830 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,830 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,830 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,833 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ 2958.583 2418.974 10546.24 1196.4454 2630.8105 2462.0654 16268.653 11979.562 ... [ 2019-11-25 12:33:11,833 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,834 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,834 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,834 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,837 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [448], value = [ 2958.583 2418.974 10546.24 1196.4454 2630.8105 2462.0654 16268.653 11979.562 ... [ 2019-11-25 12:33:11,837 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,839 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ 2958.583 2418.974 10546.24 1196.4454 2630.8105 2462.0654 16268.653 11979.562 ... [ 2019-11-25 12:33:11,840 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,840 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/moving_mean [ 2019-11-25 12:33:11,840 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,840 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,840 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,843 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ 2.45181632e+00 -6.97550964e+00 -2.97201562e+00 8.31507802e-01 4.06043625e+00 -1.47398341e+00... [ 2019-11-25 12:33:11,843 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,843 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,843 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,843 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,846 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [448], value = [ 2.45181632e+00 -6.97550964e+00 -2.97201562e+00 8.31507802e-01 4.06043625e+00 -1.47398341e+00... [ 2019-11-25 12:33:11,846 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,930 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ 2.45181632e+00 -6.97550964e+00 -2.97201562e+00 8.31507802e-01 4.06043625e+00 -1.47398341e+00... [ 2019-11-25 12:33:11,931 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,931 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/beta [ 2019-11-25 12:33:11,931 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,931 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,931 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,936 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [-1.7908535 -0.81909245 -1.8913902 -1.629286 -1.5941573 -1.5331403 -2.1436036 -1.8434482 ... [ 2019-11-25 12:33:11,936 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,936 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/ReadVariableOp [ 2019-11-25 12:33:11,936 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,936 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,941 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [448], value = [-1.7908535 -0.81909245 -1.8913902 -1.629286 -1.5941573 -1.5331403 -2.1436036 -1.8434482 ... [ 2019-11-25 12:33:11,941 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,945 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [-1.7908535 -0.81909245 -1.8913902 -1.629286 -1.5941573 -1.5331403 -2.1436036 -1.8434482 ... [ 2019-11-25 12:33:11,945 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,946 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/Const [ 2019-11-25 12:33:11,946 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,946 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,946 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,950 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,950 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,950 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_89/kernel [ 2019-11-25 12:33:11,950 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,950 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,950 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,951 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 448], value = [[[[ 0.60478514 -0.6042652 -0.6080724 ... -0.5971656 0.5643722 -0.5730304 ] [ 0.562669... [ 2019-11-25 12:33:11,951 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,951 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_89/Conv2D/ReadVariableOp [ 2019-11-25 12:33:11,952 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,952 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,952 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 2048 448], value = [[[[ 0.60478514 -0.6042652 -0.6080724 ... -0.5971656 0.5643722 -0.5730304 ] [ 0.562669... [ 2019-11-25 12:33:11,952 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,953 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 2048 448], value = [[[[ 0.60478514 -0.6042652 -0.6080724 ... -0.5971656 0.5643722 -0.5730304 ] [ 0.562669... [ 2019-11-25 12:33:11,953 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,953 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed9/concat/axis [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:130 ] Partial infer for concatenate/concat/axis [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,954 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed9_0/concat/axis [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/moving_variance [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,955 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,957 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 369.90607 748.6429 1003.655 1073.0995 5517.477 514.9063 3301.441 194.0... [ 2019-11-25 12:33:11,958 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,958 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,958 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,958 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,960 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 369.90607 748.6429 1003.655 1073.0995 5517.477 514.9063 3301.441 194.0... [ 2019-11-25 12:33:11,960 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,962 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 369.90607 748.6429 1003.655 1073.0995 5517.477 514.9063 3301.441 194.0... [ 2019-11-25 12:33:11,962 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,962 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/moving_mean [ 2019-11-25 12:33:11,962 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,962 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,962 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,964 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -8.711357 -0.7460876 -7.3374777 -6.586975 -19.658348 -4.83471 15.069153 -4.28... [ 2019-11-25 12:33:11,964 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,964 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,964 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,965 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,966 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ -8.711357 -0.7460876 -7.3374777 -6.586975 -19.658348 -4.83471 15.069153 -4.28... [ 2019-11-25 12:33:11,966 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,968 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -8.711357 -0.7460876 -7.3374777 -6.586975 -19.658348 -4.83471 15.069153 -4.28... [ 2019-11-25 12:33:11,968 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,968 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/beta [ 2019-11-25 12:33:11,968 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,969 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,969 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,970 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.5079814 -1.5401206 -1.2783469 -0.2617427 -0.24424599 -1.4961972 -1.6095654 -1.4183377 ... [ 2019-11-25 12:33:11,970 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,970 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/ReadVariableOp [ 2019-11-25 12:33:11,970 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,971 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,972 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.5079814 -1.5401206 -1.2783469 -0.2617427 -0.24424599 -1.4961972 -1.6095654 -1.4183377 ... [ 2019-11-25 12:33:11,972 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,974 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.5079814 -1.5401206 -1.2783469 -0.2617427 -0.24424599 -1.4961972 -1.6095654 -1.4183377 ... [ 2019-11-25 12:33:11,974 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,974 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/Const [ 2019-11-25 12:33:11,974 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,974 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,974 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,975 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:11,976 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,976 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/moving_variance [ 2019-11-25 12:33:11,976 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,976 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,976 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,978 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 374.6349 559.2882 1427.5162 1921.4762 4562.1455 6619.3105 1215.9313 952.1717 ... [ 2019-11-25 12:33:11,978 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,978 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:11,978 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,979 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,981 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [ 374.6349 559.2882 1427.5162 1921.4762 4562.1455 6619.3105 1215.9313 952.1717 ... [ 2019-11-25 12:33:11,981 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,983 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 374.6349 559.2882 1427.5162 1921.4762 4562.1455 6619.3105 1215.9313 952.1717 ... [ 2019-11-25 12:33:11,983 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,983 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/moving_mean [ 2019-11-25 12:33:11,983 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,983 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,983 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,985 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 0.34501874 0.51453173 -10.269291 7.3171215 14.568905 8.619851 -4.146539 -1.74... [ 2019-11-25 12:33:11,985 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,985 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:11,986 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,986 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,988 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [ 0.34501874 0.51453173 -10.269291 7.3171215 14.568905 8.619851 -4.146539 -1.74... [ 2019-11-25 12:33:11,988 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,990 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 0.34501874 0.51453173 -10.269291 7.3171215 14.568905 8.619851 -4.146539 -1.74... [ 2019-11-25 12:33:11,990 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,990 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/beta [ 2019-11-25 12:33:11,990 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,990 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,990 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,992 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-1.5695373 -0.24611855 -0.04339725 0.26384488 -0.74083155 -0.29494086 -1.8830119 -1.4547913 ... [ 2019-11-25 12:33:11,993 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,993 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/ReadVariableOp [ 2019-11-25 12:33:11,993 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:11,993 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,995 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [-1.5695373 -0.24611855 -0.04339725 0.26384488 -0.74083155 -0.29494086 -1.8830119 -1.4547913 ... [ 2019-11-25 12:33:11,995 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,997 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-1.5695373 -0.24611855 -0.04339725 0.26384488 -0.74083155 -0.29494086 -1.8830119 -1.4547913 ... [ 2019-11-25 12:33:11,997 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:11,997 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/Const [ 2019-11-25 12:33:11,997 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:11,997 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:11,997 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:11,999 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_84/kernel [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 192], value = [[[[ 0.6102379 -0.5875045 0.5874309 ... 0.5980122 0.5984301 -0.58530253] [-0.591840... [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,000 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_84/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,001 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,001 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,001 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 1280 192], value = [[[[ 0.6102379 -0.5875045 0.5874309 ... 0.5980122 0.5984301 -0.58530253] [-0.591840... [ 2019-11-25 12:33:12,001 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,002 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 192], value = [[[[ 0.6102379 -0.5875045 0.5874309 ... 0.5980122 0.5984301 -0.58530253] [-0.591840... [ 2019-11-25 12:33:12,002 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,002 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/moving_variance [ 2019-11-25 12:33:12,002 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,002 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,002 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,005 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 2118.143 1189.7205 3053.8235 879.25464 649.507 928.878 304.41443 1647.2711 ... [ 2019-11-25 12:33:12,005 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,005 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,005 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,005 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,007 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 2118.143 1189.7205 3053.8235 879.25464 649.507 928.878 304.41443 1647.2711 ... [ 2019-11-25 12:33:12,007 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,010 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 2118.143 1189.7205 3053.8235 879.25464 649.507 928.878 304.41443 1647.2711 ... [ 2019-11-25 12:33:12,010 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,010 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/moving_mean [ 2019-11-25 12:33:12,010 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,010 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,010 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,013 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.28944597e+01 -9.45600808e-01 1.10395651e+01 -1.42577562e+01 -3.95434618e+00 -1.07330017e+01... [ 2019-11-25 12:33:12,013 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,013 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,013 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,013 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,016 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-1.28944597e+01 -9.45600808e-01 1.10395651e+01 -1.42577562e+01 -3.95434618e+00 -1.07330017e+01... [ 2019-11-25 12:33:12,016 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,018 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.28944597e+01 -9.45600808e-01 1.10395651e+01 -1.42577562e+01 -3.95434618e+00 -1.07330017e+01... [ 2019-11-25 12:33:12,018 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,018 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/beta [ 2019-11-25 12:33:12,018 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,018 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,019 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,021 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-2.1787105 -1.8931812 -1.158095 -0.3624976 -2.0202174 -1.6167119 -1.8598827 -1.810053 ... [ 2019-11-25 12:33:12,021 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,021 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/ReadVariableOp [ 2019-11-25 12:33:12,021 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,021 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,024 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-2.1787105 -1.8931812 -1.158095 -0.3624976 -2.0202174 -1.6167119 -1.8598827 -1.810053 ... [ 2019-11-25 12:33:12,024 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,027 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-2.1787105 -1.8931812 -1.158095 -0.3624976 -2.0202174 -1.6167119 -1.8598827 -1.810053 ... [ 2019-11-25 12:33:12,027 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,027 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/Const [ 2019-11-25 12:33:12,027 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,027 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,027 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,029 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,029 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,029 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/moving_variance [ 2019-11-25 12:33:12,029 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,029 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,029 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,032 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 770.99774 479.82727 945.94684 3485.2617 1088.1675 2636.4065 1043.3479 7327.4233 ... [ 2019-11-25 12:33:12,032 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,032 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,032 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,032 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,035 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 770.99774 479.82727 945.94684 3485.2617 1088.1675 2636.4065 1043.3479 7327.4233 ... [ 2019-11-25 12:33:12,035 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,037 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 770.99774 479.82727 945.94684 3485.2617 1088.1675 2636.4065 1043.3479 7327.4233 ... [ 2019-11-25 12:33:12,038 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,038 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/moving_mean [ 2019-11-25 12:33:12,038 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,038 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,038 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,040 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ -3.7163637 -12.259988 -9.703028 19.300625 20.040792 -5.155726 5.180849 -17.69... [ 2019-11-25 12:33:12,040 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,040 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,041 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,041 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,043 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ -3.7163637 -12.259988 -9.703028 19.300625 20.040792 -5.155726 5.180849 -17.69... [ 2019-11-25 12:33:12,043 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,046 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ -3.7163637 -12.259988 -9.703028 19.300625 20.040792 -5.155726 5.180849 -17.69... [ 2019-11-25 12:33:12,046 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,046 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/beta [ 2019-11-25 12:33:12,046 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,046 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,046 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,049 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.9212896 -0.71646863 -0.6944274 -1.5496241 -1.2478662 -1.5646245 -3.0070958 -1.7054385 ... [ 2019-11-25 12:33:12,049 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,049 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/ReadVariableOp [ 2019-11-25 12:33:12,049 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,049 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,051 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-1.9212896 -0.71646863 -0.6944274 -1.5496241 -1.2478662 -1.5646245 -3.0070958 -1.7054385 ... [ 2019-11-25 12:33:12,051 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,054 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.9212896 -0.71646863 -0.6944274 -1.5496241 -1.2478662 -1.5646245 -3.0070958 -1.7054385 ... [ 2019-11-25 12:33:12,054 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,054 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/Const [ 2019-11-25 12:33:12,054 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,054 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,054 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,057 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,057 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,057 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/moving_variance [ 2019-11-25 12:33:12,057 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,057 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,057 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,059 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 4656.4688 3769.221 1320.9203 1253.732 392.53293 10718.572 5130.132 2112.31 ... [ 2019-11-25 12:33:12,060 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,060 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,060 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,060 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,062 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 4656.4688 3769.221 1320.9203 1253.732 392.53293 10718.572 5130.132 2112.31 ... [ 2019-11-25 12:33:12,062 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,065 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 4656.4688 3769.221 1320.9203 1253.732 392.53293 10718.572 5130.132 2112.31 ... [ 2019-11-25 12:33:12,065 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,065 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/moving_mean [ 2019-11-25 12:33:12,065 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,065 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,065 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,068 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-7.52236271e+00 1.16731472e+01 -1.02178669e+01 5.14450133e-01 -8.23219299e+00 -9.23019028e+00... [ 2019-11-25 12:33:12,068 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,068 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,068 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,068 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,071 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-7.52236271e+00 1.16731472e+01 -1.02178669e+01 5.14450133e-01 -8.23219299e+00 -9.23019028e+00... [ 2019-11-25 12:33:12,071 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,073 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-7.52236271e+00 1.16731472e+01 -1.02178669e+01 5.14450133e-01 -8.23219299e+00 -9.23019028e+00... [ 2019-11-25 12:33:12,073 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,073 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/beta [ 2019-11-25 12:33:12,073 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,073 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,074 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,076 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-2.0980406 -1.1877569 -1.7925264 -1.0773841 -1.8786052 -1.9224921 -2.3029473 -0.702762 ... [ 2019-11-25 12:33:12,076 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,076 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/ReadVariableOp [ 2019-11-25 12:33:12,076 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,076 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,079 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-2.0980406 -1.1877569 -1.7925264 -1.0773841 -1.8786052 -1.9224921 -2.3029473 -0.702762 ... [ 2019-11-25 12:33:12,079 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,081 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-2.0980406 -1.1877569 -1.7925264 -1.0773841 -1.8786052 -1.9224921 -2.3029473 -0.702762 ... [ 2019-11-25 12:33:12,081 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,082 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/Const [ 2019-11-25 12:33:12,082 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,082 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,082 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,084 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,084 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,084 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/moving_variance [ 2019-11-25 12:33:12,084 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,084 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,084 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,087 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1502.6185 858.8576 4685.0977 714.11115 790.1472 409.02475 300.05563 919.12524... [ 2019-11-25 12:33:12,087 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,087 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,087 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,087 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,090 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 1502.6185 858.8576 4685.0977 714.11115 790.1472 409.02475 300.05563 919.12524... [ 2019-11-25 12:33:12,090 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,092 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1502.6185 858.8576 4685.0977 714.11115 790.1472 409.02475 300.05563 919.12524... [ 2019-11-25 12:33:12,092 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,093 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/moving_mean [ 2019-11-25 12:33:12,093 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,093 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,093 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,095 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1.08245106e+01 -7.79293954e-01 1.59750009e+00 7.03462601e-01 -7.05881417e-01 -1.09536781e+01... [ 2019-11-25 12:33:12,095 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,095 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,095 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,096 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,098 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 1.08245106e+01 -7.79293954e-01 1.59750009e+00 7.03462601e-01 -7.05881417e-01 -1.09536781e+01... [ 2019-11-25 12:33:12,098 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,101 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1.08245106e+01 -7.79293954e-01 1.59750009e+00 7.03462601e-01 -7.05881417e-01 -1.09536781e+01... [ 2019-11-25 12:33:12,101 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,101 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/beta [ 2019-11-25 12:33:12,101 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,101 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,101 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,104 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.31821904 -1.9365532 -2.584347 -0.5964983 -2.451188 -1.8550241 -2.2499254 -2.0710578 ... [ 2019-11-25 12:33:12,104 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,104 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/ReadVariableOp [ 2019-11-25 12:33:12,104 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,104 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,107 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-0.31821904 -1.9365532 -2.584347 -0.5964983 -2.451188 -1.8550241 -2.2499254 -2.0710578 ... [ 2019-11-25 12:33:12,107 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,109 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-0.31821904 -1.9365532 -2.584347 -0.5964983 -2.451188 -1.8550241 -2.2499254 -2.0710578 ... [ 2019-11-25 12:33:12,109 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,109 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/Const [ 2019-11-25 12:33:12,109 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,110 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,110 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,112 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,112 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,112 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_76/kernel [ 2019-11-25 12:33:12,112 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,112 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,112 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,113 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 320], value = [[[[ 0.63887423 -0.29513314 -0.6052725 ... -0.60697067 -0.58287305 0.57943636] [-0.61177... [ 2019-11-25 12:33:12,113 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,113 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_76/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,113 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,113 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 1280 320], value = [[[[ 0.63887423 -0.29513314 -0.6052725 ... -0.60697067 -0.58287305 0.57943636] [-0.61177... [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 320], value = [[[[ 0.63887423 -0.29513314 -0.6052725 ... -0.60697067 -0.58287305 0.57943636] [-0.61177... [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_83/kernel [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,114 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,115 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[-0.90466076 0.6169307 0.42715982 ... -0.38722104 0.60379034 0.39301202] [-0.54505... [ 2019-11-25 12:33:12,116 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,116 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_83/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,116 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,116 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,117 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 1 384 384], value = [[[[-0.90466076 0.6169307 0.42715982 ... -0.38722104 0.60379034 0.39301202] [-0.54505... [ 2019-11-25 12:33:12,117 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,118 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[-0.90466076 0.6169307 0.42715982 ... -0.38722104 0.60379034 0.39301202] [-0.54505... [ 2019-11-25 12:33:12,118 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,118 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_82/kernel [ 2019-11-25 12:33:12,118 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,118 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,118 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,119 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[ 0.8614742 -0.592913 -0.61195284 ... 0.6700647 0.7386962 0.5823674 ] [ 0.660896... [ 2019-11-25 12:33:12,119 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,119 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_82/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,119 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,120 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,121 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 3 384 384], value = [[[[ 0.8614742 -0.592913 -0.61195284 ... 0.6700647 0.7386962 0.5823674 ] [ 0.660896... [ 2019-11-25 12:33:12,121 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,122 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[ 0.8614742 -0.592913 -0.61195284 ... 0.6700647 0.7386962 0.5823674 ] [ 0.660896... [ 2019-11-25 12:33:12,122 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,122 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_79/kernel [ 2019-11-25 12:33:12,122 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,122 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,122 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,123 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[-0.5857483 -0.624684 0.5750383 ... 0.58178085 -0.60142154 0.592303 ] [-0.62482... [ 2019-11-25 12:33:12,123 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,123 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_79/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,123 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,123 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,124 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 1 384 384], value = [[[[-0.5857483 -0.624684 0.5750383 ... 0.58178085 -0.60142154 0.592303 ] [-0.62482... [ 2019-11-25 12:33:12,124 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,125 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 1 384 384], value = [[[[-0.5857483 -0.624684 0.5750383 ... 0.58178085 -0.60142154 0.592303 ] [-0.62482... [ 2019-11-25 12:33:12,125 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,125 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_78/kernel [ 2019-11-25 12:33:12,125 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,126 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,126 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,127 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[ 0.59610265 0.5793301 0.6168807 ... 0.5974179 0.5935409 0.6569034 ] [-0.561683... [ 2019-11-25 12:33:12,127 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,127 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_78/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,127 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,127 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,128 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 3 384 384], value = [[[[ 0.59610265 0.5793301 0.6168807 ... 0.5974179 0.5935409 0.6569034 ] [-0.561683... [ 2019-11-25 12:33:12,128 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,129 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 3 384 384], value = [[[[ 0.59610265 0.5793301 0.6168807 ... 0.5974179 0.5935409 0.6569034 ] [-0.561683... [ 2019-11-25 12:33:12,129 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,129 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/moving_variance [ 2019-11-25 12:33:12,129 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,129 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,129 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,132 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [13143.351 5876.6475 11994.826 4109.276 8980.441 10625.286 9157.961 1923.9487 3... [ 2019-11-25 12:33:12,132 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,132 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,132 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,132 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,135 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [13143.351 5876.6475 11994.826 4109.276 8980.441 10625.286 9157.961 1923.9487 3... [ 2019-11-25 12:33:12,135 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,137 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [13143.351 5876.6475 11994.826 4109.276 8980.441 10625.286 9157.961 1923.9487 3... [ 2019-11-25 12:33:12,138 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,138 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/moving_mean [ 2019-11-25 12:33:12,138 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,138 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,138 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,140 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-6.14858770e+00 -1.39302146e+00 4.14720421e+01 -8.03528023e+00 -1.21401978e+01 3.78899117e+01... [ 2019-11-25 12:33:12,140 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,140 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,141 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,141 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,143 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-6.14858770e+00 -1.39302146e+00 4.14720421e+01 -8.03528023e+00 -1.21401978e+01 3.78899117e+01... [ 2019-11-25 12:33:12,143 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,146 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-6.14858770e+00 -1.39302146e+00 4.14720421e+01 -8.03528023e+00 -1.21401978e+01 3.78899117e+01... [ 2019-11-25 12:33:12,146 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,146 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/beta [ 2019-11-25 12:33:12,146 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,146 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,146 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,149 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.4954432 0.08165419 0.05942161 0.7551584 -0.74921393 -1.7554605 -0.93252057 0.04328388 ... [ 2019-11-25 12:33:12,149 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,149 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/ReadVariableOp [ 2019-11-25 12:33:12,150 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,150 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,152 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-1.4954432 0.08165419 0.05942161 0.7551584 -0.74921393 -1.7554605 -0.93252057 0.04328388 ... [ 2019-11-25 12:33:12,152 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,155 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-1.4954432 0.08165419 0.05942161 0.7551584 -0.74921393 -1.7554605 -0.93252057 0.04328388 ... [ 2019-11-25 12:33:12,155 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,155 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/Const [ 2019-11-25 12:33:12,155 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,155 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,155 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,157 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,157 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,158 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/moving_variance [ 2019-11-25 12:33:12,158 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,158 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,158 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,160 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 744.7983 182.03769 1749.7002 174.97638 458.32367 1652.5981 1937.5521 1180.3677 ... [ 2019-11-25 12:33:12,160 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,160 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,160 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,161 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,163 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 744.7983 182.03769 1749.7002 174.97638 458.32367 1652.5981 1937.5521 1180.3677 ... [ 2019-11-25 12:33:12,163 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,166 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 744.7983 182.03769 1749.7002 174.97638 458.32367 1652.5981 1937.5521 1180.3677 ... [ 2019-11-25 12:33:12,166 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,166 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/moving_mean [ 2019-11-25 12:33:12,166 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,166 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,166 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,168 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-9.67213535e+00 -9.87127876e+00 9.63867188e+00 -5.41490650e+00 -1.05530977e+00 -9.93902111e+00... [ 2019-11-25 12:33:12,169 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,169 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,169 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,169 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,171 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-9.67213535e+00 -9.87127876e+00 9.63867188e+00 -5.41490650e+00 -1.05530977e+00 -9.93902111e+00... [ 2019-11-25 12:33:12,171 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,174 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-9.67213535e+00 -9.87127876e+00 9.63867188e+00 -5.41490650e+00 -1.05530977e+00 -9.93902111e+00... [ 2019-11-25 12:33:12,174 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,174 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/beta [ 2019-11-25 12:33:12,174 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,174 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,174 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,177 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1.25184715e-01 -1.14172173e+00 -7.09129810e-01 -1.39633322e+00 1.16637059e-01 -1.32075715e+00... [ 2019-11-25 12:33:12,177 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,177 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/ReadVariableOp [ 2019-11-25 12:33:12,177 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,177 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,180 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 1.25184715e-01 -1.14172173e+00 -7.09129810e-01 -1.39633322e+00 1.16637059e-01 -1.32075715e+00... [ 2019-11-25 12:33:12,180 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,183 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 1.25184715e-01 -1.14172173e+00 -7.09129810e-01 -1.39633322e+00 1.16637059e-01 -1.32075715e+00... [ 2019-11-25 12:33:12,183 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,183 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/Const [ 2019-11-25 12:33:12,183 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,183 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,183 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,185 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,186 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,186 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_81/kernel [ 2019-11-25 12:33:12,186 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,186 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,186 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,188 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 448 384], value = [[[[ 0.00661477 0.5644457 0.7574907 ... 0.3657257 0.638819 -0.5881155 ] [ 0.5862981... [ 2019-11-25 12:33:12,188 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,188 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_81/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,188 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,189 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,191 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 448 384], value = [[[[ 0.00661477 0.5644457 0.7574907 ... 0.3657257 0.638819 -0.5881155 ] [ 0.5862981... [ 2019-11-25 12:33:12,191 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,193 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 448 384], value = [[[[ 0.00661477 0.5644457 0.7574907 ... 0.3657257 0.638819 -0.5881155 ] [ 0.5862981... [ 2019-11-25 12:33:12,193 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,193 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_77/kernel [ 2019-11-25 12:33:12,193 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,194 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,194 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,194 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 384], value = [[[[ 0.5836438 0.588643 -0.61621785 ... 0.62698376 -0.586086 -0.6210445 ] [ 0.5800572... [ 2019-11-25 12:33:12,194 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,194 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_77/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,194 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,195 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,195 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 1280 384], value = [[[[ 0.5836438 0.588643 -0.61621785 ... 0.62698376 -0.586086 -0.6210445 ] [ 0.5800572... [ 2019-11-25 12:33:12,195 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,196 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 384], value = [[[[ 0.5836438 0.588643 -0.61621785 ... 0.62698376 -0.586086 -0.6210445 ] [ 0.5800572... [ 2019-11-25 12:33:12,196 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,196 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/moving_variance [ 2019-11-25 12:33:12,196 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,196 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,196 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,199 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ 1114.7026 3005.4666 1528.3806 1393.8728 2185.7842 648.0184 1885.7242 243.0341 ... [ 2019-11-25 12:33:12,199 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,199 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,199 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,199 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,202 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [448], value = [ 1114.7026 3005.4666 1528.3806 1393.8728 2185.7842 648.0184 1885.7242 243.0341 ... [ 2019-11-25 12:33:12,202 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,205 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ 1114.7026 3005.4666 1528.3806 1393.8728 2185.7842 648.0184 1885.7242 243.0341 ... [ 2019-11-25 12:33:12,205 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,205 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/moving_mean [ 2019-11-25 12:33:12,205 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,205 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,205 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,208 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ -1.8900282 -14.844484 -9.455988 -9.888419 -11.994473 -2.7227561 -3.765987 3.76... [ 2019-11-25 12:33:12,208 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,209 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,209 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,209 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,212 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [448], value = [ -1.8900282 -14.844484 -9.455988 -9.888419 -11.994473 -2.7227561 -3.765987 3.76... [ 2019-11-25 12:33:12,212 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,215 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [ -1.8900282 -14.844484 -9.455988 -9.888419 -11.994473 -2.7227561 -3.765987 3.76... [ 2019-11-25 12:33:12,215 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,215 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/beta [ 2019-11-25 12:33:12,215 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,215 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,215 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,218 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [-1.7263461e+00 -1.3432022e+00 -1.0252088e+00 -3.7851149e-01 -1.0264335e+00 9.6284170e-03 -1.97... [ 2019-11-25 12:33:12,218 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,219 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/ReadVariableOp [ 2019-11-25 12:33:12,219 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,219 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,222 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [448], value = [-1.7263461e+00 -1.3432022e+00 -1.0252088e+00 -3.7851149e-01 -1.0264335e+00 9.6284170e-03 -1.97... [ 2019-11-25 12:33:12,222 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,225 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [-1.7263461e+00 -1.3432022e+00 -1.0252088e+00 -3.7851149e-01 -1.0264335e+00 9.6284170e-03 -1.97... [ 2019-11-25 12:33:12,225 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,225 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/Const [ 2019-11-25 12:33:12,225 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,225 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,225 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,228 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,228 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,228 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_80/kernel [ 2019-11-25 12:33:12,228 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,228 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,228 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,228 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 448], value = [[[[-0.55759585 -0.6109337 0.5779359 ... 0.62367004 -0.60268307 0.5860347 ] [ 0.56562... [ 2019-11-25 12:33:12,229 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,229 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_80/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,229 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,229 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,229 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 1280 448], value = [[[[-0.55759585 -0.6109337 0.5779359 ... 0.62367004 -0.60268307 0.5860347 ] [ 0.56562... [ 2019-11-25 12:33:12,229 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,230 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 1280 448], value = [[[[-0.55759585 -0.6109337 0.5779359 ... 0.62367004 -0.60268307 0.5860347 ] [ 0.56562... [ 2019-11-25 12:33:12,230 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,230 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed8/concat/axis [ 2019-11-25 12:33:12,230 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,230 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,230 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,230 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:12,231 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,231 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/moving_variance [ 2019-11-25 12:33:12,231 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,231 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,231 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,232 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 6668.507 2971.841 10755.119 375.40738 927.1496 17414.191 2684.9812 6674.8843 ... [ 2019-11-25 12:33:12,232 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,232 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,232 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,232 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,234 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 6668.507 2971.841 10755.119 375.40738 927.1496 17414.191 2684.9812 6674.8843 ... [ 2019-11-25 12:33:12,234 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,235 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 6668.507 2971.841 10755.119 375.40738 927.1496 17414.191 2684.9812 6674.8843 ... [ 2019-11-25 12:33:12,235 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,235 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/moving_mean [ 2019-11-25 12:33:12,235 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,235 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,236 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,237 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 16.142292 -3.1183124 -16.732044 -0.33788696 13.663638 15.264923 -26.083315 34.94... [ 2019-11-25 12:33:12,237 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,237 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,237 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,237 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,239 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 16.142292 -3.1183124 -16.732044 -0.33788696 13.663638 15.264923 -26.083315 34.94... [ 2019-11-25 12:33:12,239 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,240 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 16.142292 -3.1183124 -16.732044 -0.33788696 13.663638 15.264923 -26.083315 34.94... [ 2019-11-25 12:33:12,240 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,240 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/beta [ 2019-11-25 12:33:12,240 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,240 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,241 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,242 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.8570466 -1.3995324 -0.70037585 -1.1438098 0.5647582 0.63788766 -0.38176134 -0.8572137 ... [ 2019-11-25 12:33:12,242 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,242 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/ReadVariableOp [ 2019-11-25 12:33:12,242 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,242 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,244 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.8570466 -1.3995324 -0.70037585 -1.1438098 0.5647582 0.63788766 -0.38176134 -0.8572137 ... [ 2019-11-25 12:33:12,244 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,245 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.8570466 -1.3995324 -0.70037585 -1.1438098 0.5647582 0.63788766 -0.38176134 -0.8572137 ... [ 2019-11-25 12:33:12,245 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,245 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/Const [ 2019-11-25 12:33:12,245 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,245 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,245 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,247 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,247 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,247 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/moving_variance [ 2019-11-25 12:33:12,247 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,247 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,247 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,249 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 413.14804 423.4888 969.1089 412.96732 870.58734 1709.0944 13750.283 1394.9847 ... [ 2019-11-25 12:33:12,250 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,250 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,250 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,250 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,252 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [ 413.14804 423.4888 969.1089 412.96732 870.58734 1709.0944 13750.283 1394.9847 ... [ 2019-11-25 12:33:12,252 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,254 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 413.14804 423.4888 969.1089 412.96732 870.58734 1709.0944 13750.283 1394.9847 ... [ 2019-11-25 12:33:12,254 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,254 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/moving_mean [ 2019-11-25 12:33:12,254 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,254 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,254 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,256 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 0.38219273 -5.2610984 -3.6908634 -4.6752496 -2.8881283 1.5842817 -16.74583 4.2... [ 2019-11-25 12:33:12,257 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,257 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,257 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,257 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,259 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [ 0.38219273 -5.2610984 -3.6908634 -4.6752496 -2.8881283 1.5842817 -16.74583 4.2... [ 2019-11-25 12:33:12,259 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,261 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [ 0.38219273 -5.2610984 -3.6908634 -4.6752496 -2.8881283 1.5842817 -16.74583 4.2... [ 2019-11-25 12:33:12,261 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,261 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/beta [ 2019-11-25 12:33:12,261 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,261 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,262 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,264 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-1.31184220e+00 -3.48615050e-01 -1.44082785e+00 -3.30759495e-01 -3.40924501e-01 -1.00040853e+00... [ 2019-11-25 12:33:12,264 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,264 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/ReadVariableOp [ 2019-11-25 12:33:12,264 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,264 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,266 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [320], value = [-1.31184220e+00 -3.48615050e-01 -1.44082785e+00 -3.30759495e-01 -3.40924501e-01 -1.00040853e+00... [ 2019-11-25 12:33:12,266 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,268 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [-1.31184220e+00 -3.48615050e-01 -1.44082785e+00 -3.30759495e-01 -3.40924501e-01 -1.00040853e+00... [ 2019-11-25 12:33:12,268 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,268 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/Const [ 2019-11-25 12:33:12,269 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,269 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,269 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,271 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,271 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,271 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_75/kernel [ 2019-11-25 12:33:12,271 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,271 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,271 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,273 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 192 192], value = [[[[ 0.86148953 -0.5363697 -0.19163716 ... -0.6844073 0.3343773 0.6642166 ] [ 0.750482... [ 2019-11-25 12:33:12,274 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,274 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_75/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,274 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,274 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,277 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 192 192], value = [[[[ 0.86148953 -0.5363697 -0.19163716 ... -0.6844073 0.3343773 0.6642166 ] [ 0.750482... [ 2019-11-25 12:33:12,277 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,279 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 192 192], value = [[[[ 0.86148953 -0.5363697 -0.19163716 ... -0.6844073 0.3343773 0.6642166 ] [ 0.750482... [ 2019-11-25 12:33:12,279 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,279 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_71/kernel [ 2019-11-25 12:33:12,279 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,280 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,280 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,282 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 192 320], value = [[[[ 0.5900763 -0.79230005 -0.6023739 ... 0.17530502 0.595246 -0.6115825 ] [-0.6068761... [ 2019-11-25 12:33:12,283 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,283 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_71/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,283 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,283 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,285 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 192 320], value = [[[[ 0.5900763 -0.79230005 -0.6023739 ... 0.17530502 0.595246 -0.6115825 ] [-0.6068761... [ 2019-11-25 12:33:12,285 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,287 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 192 320], value = [[[[ 0.5900763 -0.79230005 -0.6023739 ... 0.17530502 0.595246 -0.6115825 ] [-0.6068761... [ 2019-11-25 12:33:12,288 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,288 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/moving_variance [ 2019-11-25 12:33:12,288 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,288 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,288 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,289 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1055.0011 2614.147 2238.8862 1404.7532 2268.8413 1389.153 1272.5642 12301.1875 ... [ 2019-11-25 12:33:12,289 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,289 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,289 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,290 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,291 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 1055.0011 2614.147 2238.8862 1404.7532 2268.8413 1389.153 1272.5642 12301.1875 ... [ 2019-11-25 12:33:12,291 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,292 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1055.0011 2614.147 2238.8862 1404.7532 2268.8413 1389.153 1272.5642 12301.1875 ... [ 2019-11-25 12:33:12,292 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,293 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/moving_mean [ 2019-11-25 12:33:12,293 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,293 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,293 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,294 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -2.8031902 19.50065 -3.766838 -9.923172 -25.91021 -22.444237 -8.826005 45.841... [ 2019-11-25 12:33:12,294 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,294 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,294 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,295 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,296 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ -2.8031902 19.50065 -3.766838 -9.923172 -25.91021 -22.444237 -8.826005 45.841... [ 2019-11-25 12:33:12,296 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,297 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -2.8031902 19.50065 -3.766838 -9.923172 -25.91021 -22.444237 -8.826005 45.841... [ 2019-11-25 12:33:12,297 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,297 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/beta [ 2019-11-25 12:33:12,297 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,298 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,298 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,299 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.95817965 -1.7756567 2.3708808 -0.5097942 -1.1894015 -2.0580287 -1.5347091 -0.90838337 ... [ 2019-11-25 12:33:12,299 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,299 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/ReadVariableOp [ 2019-11-25 12:33:12,299 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,300 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,301 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.95817965 -1.7756567 2.3708808 -0.5097942 -1.1894015 -2.0580287 -1.5347091 -0.90838337 ... [ 2019-11-25 12:33:12,301 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,302 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.95817965 -1.7756567 2.3708808 -0.5097942 -1.1894015 -2.0580287 -1.5347091 -0.90838337 ... [ 2019-11-25 12:33:12,303 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,303 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/Const [ 2019-11-25 12:33:12,303 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,303 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,303 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,304 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,304 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,304 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/moving_variance [ 2019-11-25 12:33:12,304 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,304 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,304 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,306 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 408.2374 458.27786 368.228 360.41052 317.85013 207.46815 878.2703 1190.9271 ... [ 2019-11-25 12:33:12,306 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,306 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,306 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,306 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,308 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 408.2374 458.27786 368.228 360.41052 317.85013 207.46815 878.2703 1190.9271 ... [ 2019-11-25 12:33:12,308 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,309 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 408.2374 458.27786 368.228 360.41052 317.85013 207.46815 878.2703 1190.9271 ... [ 2019-11-25 12:33:12,309 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,309 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/moving_mean [ 2019-11-25 12:33:12,309 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,309 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,310 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,311 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 3.2364655 0.15458763 -3.31616 -2.8131797 -4.6207047 0.35839018 -7.58369 -8.636662 ... [ 2019-11-25 12:33:12,311 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,311 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,311 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,312 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,313 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 3.2364655 0.15458763 -3.31616 -2.8131797 -4.6207047 0.35839018 -7.58369 -8.636662 ... [ 2019-11-25 12:33:12,313 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,315 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 3.2364655 0.15458763 -3.31616 -2.8131797 -4.6207047 0.35839018 -7.58369 -8.636662 ... [ 2019-11-25 12:33:12,315 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,315 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/beta [ 2019-11-25 12:33:12,315 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,315 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,315 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,317 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.63330823 -0.67305356 -1.3321235 -0.42464253 -1.4731255 -1.587303 -1.1298693 -1.5595843 -... [ 2019-11-25 12:33:12,317 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,317 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/ReadVariableOp [ 2019-11-25 12:33:12,317 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,317 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,318 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.63330823 -0.67305356 -1.3321235 -0.42464253 -1.4731255 -1.587303 -1.1298693 -1.5595843 -... [ 2019-11-25 12:33:12,319 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,320 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.63330823 -0.67305356 -1.3321235 -0.42464253 -1.4731255 -1.587303 -1.1298693 -1.5595843 -... [ 2019-11-25 12:33:12,320 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,320 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/Const [ 2019-11-25 12:33:12,320 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,320 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,320 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,321 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,322 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,322 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_74/kernel [ 2019-11-25 12:33:12,322 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,322 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,322 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,323 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[-1.0869513 -0.5847688 0.644045 ... -0.6161355 -0.41326964 -0.6281657 ] [ 0.54971... [ 2019-11-25 12:33:12,324 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,324 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_74/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,324 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,324 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,326 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 192 192], value = [[[[-1.0869513 -0.5847688 0.644045 ... -0.6161355 -0.41326964 -0.6281657 ] [ 0.54971... [ 2019-11-25 12:33:12,326 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,327 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[-1.0869513 -0.5847688 0.644045 ... -0.6161355 -0.41326964 -0.6281657 ] [ 0.54971... [ 2019-11-25 12:33:12,327 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,327 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_70/kernel [ 2019-11-25 12:33:12,328 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,328 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,328 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,328 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.38211748 1.1123512 -0.32938084 ... -0.5868647 0.60434234 -0.59240025] [ 0.37557... [ 2019-11-25 12:33:12,328 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,328 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_70/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,328 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,329 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,329 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.38211748 1.1123512 -0.32938084 ... -0.5868647 0.60434234 -0.59240025] [ 0.37557... [ 2019-11-25 12:33:12,329 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,330 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.38211748 1.1123512 -0.32938084 ... -0.5868647 0.60434234 -0.59240025] [ 0.37557... [ 2019-11-25 12:33:12,330 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,330 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/moving_variance [ 2019-11-25 12:33:12,330 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,330 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,330 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,331 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1714.8783 2053.1824 3422.8938 1064.7535 3606.9102 3288.1052 558.5358 623.2677 ... [ 2019-11-25 12:33:12,332 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,332 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,332 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,332 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,333 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 1714.8783 2053.1824 3422.8938 1064.7535 3606.9102 3288.1052 558.5358 623.2677 ... [ 2019-11-25 12:33:12,333 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,335 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1714.8783 2053.1824 3422.8938 1064.7535 3606.9102 3288.1052 558.5358 623.2677 ... [ 2019-11-25 12:33:12,335 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,335 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/moving_mean [ 2019-11-25 12:33:12,335 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,335 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,335 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,336 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2.76635399e+01 -2.35456924e+01 1.52334070e+01 -5.24798870e+00 1.52122078e+01 2.10466595e+01... [ 2019-11-25 12:33:12,336 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,336 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,337 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,337 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,338 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 2.76635399e+01 -2.35456924e+01 1.52334070e+01 -5.24798870e+00 1.52122078e+01 2.10466595e+01... [ 2019-11-25 12:33:12,338 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,339 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2.76635399e+01 -2.35456924e+01 1.52334070e+01 -5.24798870e+00 1.52122078e+01 2.10466595e+01... [ 2019-11-25 12:33:12,340 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,340 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/beta [ 2019-11-25 12:33:12,340 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,340 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,340 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,341 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4772431 -1.2815516 -2.089728 -1.0567347 -2.6906354 0.3852435 -0.7327531 -0.19451194 ... [ 2019-11-25 12:33:12,341 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,341 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/ReadVariableOp [ 2019-11-25 12:33:12,342 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,342 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,343 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.4772431 -1.2815516 -2.089728 -1.0567347 -2.6906354 0.3852435 -0.7327531 -0.19451194 ... [ 2019-11-25 12:33:12,343 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,344 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4772431 -1.2815516 -2.089728 -1.0567347 -2.6906354 0.3852435 -0.7327531 -0.19451194 ... [ 2019-11-25 12:33:12,345 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,345 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/Const [ 2019-11-25 12:33:12,345 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,345 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,345 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,346 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,346 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,346 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_73/kernel [ 2019-11-25 12:33:12,346 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,346 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,346 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,348 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[-0.5533698 0.6049738 1.2484082 ... -0.6284702 0.65930617 0.61754394] [-0.61195... [ 2019-11-25 12:33:12,349 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,349 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_73/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,349 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,349 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,350 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 192 192], value = [[[[-0.5533698 0.6049738 1.2484082 ... -0.6284702 0.65930617 0.61754394] [-0.61195... [ 2019-11-25 12:33:12,351 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,352 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[-0.5533698 0.6049738 1.2484082 ... -0.6284702 0.65930617 0.61754394] [-0.61195... [ 2019-11-25 12:33:12,352 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,352 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/moving_variance [ 2019-11-25 12:33:12,352 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,353 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,353 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,354 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 296.55295 94.15528 486.97928 655.0953 982.80365 251.77463 383.82904 232.01399 ... [ 2019-11-25 12:33:12,354 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,354 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,354 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,354 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,356 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 296.55295 94.15528 486.97928 655.0953 982.80365 251.77463 383.82904 232.01399 ... [ 2019-11-25 12:33:12,356 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,357 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 296.55295 94.15528 486.97928 655.0953 982.80365 251.77463 383.82904 232.01399 ... [ 2019-11-25 12:33:12,357 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,357 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/moving_mean [ 2019-11-25 12:33:12,357 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,357 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,357 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,359 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.2687538e+00 -3.3128145e+00 -1.1627879e+00 -5.2467084e+00 -6.9568691e+00 -3.8250363e+00 -2.29... [ 2019-11-25 12:33:12,359 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,359 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,359 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,359 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,361 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.2687538e+00 -3.3128145e+00 -1.1627879e+00 -5.2467084e+00 -6.9568691e+00 -3.8250363e+00 -2.29... [ 2019-11-25 12:33:12,361 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,362 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.2687538e+00 -3.3128145e+00 -1.1627879e+00 -5.2467084e+00 -6.9568691e+00 -3.8250363e+00 -2.29... [ 2019-11-25 12:33:12,362 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,362 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/beta [ 2019-11-25 12:33:12,362 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,362 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,362 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,364 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.28209093e-01 -1.23954356e+00 -9.06532407e-01 6.47007823e-01 -8.57421815e-01 -1.17331851e+00... [ 2019-11-25 12:33:12,364 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,364 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/ReadVariableOp [ 2019-11-25 12:33:12,364 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,364 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,366 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.28209093e-01 -1.23954356e+00 -9.06532407e-01 6.47007823e-01 -8.57421815e-01 -1.17331851e+00... [ 2019-11-25 12:33:12,366 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,367 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.28209093e-01 -1.23954356e+00 -9.06532407e-01 6.47007823e-01 -8.57421815e-01 -1.17331851e+00... [ 2019-11-25 12:33:12,367 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,367 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/Const [ 2019-11-25 12:33:12,368 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,368 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,368 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,369 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,369 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,369 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_72/kernel [ 2019-11-25 12:33:12,369 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,369 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,369 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,370 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[ 0.75782853 -0.59186876 0.54425335 ... -0.05360033 0.582857 0.06181905] [ 0.3103485... [ 2019-11-25 12:33:12,370 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,370 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_72/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,370 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,370 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,371 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[ 0.75782853 -0.59186876 0.54425335 ... -0.05360033 0.582857 0.06181905] [ 0.3103485... [ 2019-11-25 12:33:12,371 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,371 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[ 0.75782853 -0.59186876 0.54425335 ... -0.05360033 0.582857 0.06181905] [ 0.3103485... [ 2019-11-25 12:33:12,371 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,371 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed7/concat/axis [ 2019-11-25 12:33:12,371 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,371 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,372 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,372 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:12,372 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,372 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/moving_variance [ 2019-11-25 12:33:12,372 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,372 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,372 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,373 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 94.9407 1259.7716 320.87772 1131.1505 465.7676 510.54126 270.72296 2109.7502 ... [ 2019-11-25 12:33:12,373 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,373 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,374 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,374 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,375 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 94.9407 1259.7716 320.87772 1131.1505 465.7676 510.54126 270.72296 2109.7502 ... [ 2019-11-25 12:33:12,375 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,376 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 94.9407 1259.7716 320.87772 1131.1505 465.7676 510.54126 270.72296 2109.7502 ... [ 2019-11-25 12:33:12,377 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,377 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/moving_mean [ 2019-11-25 12:33:12,377 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,377 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,377 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,378 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -7.9867096 -8.348171 -3.7409904 21.041492 -14.369412 0.92205155 -9.973486 -9.45... [ 2019-11-25 12:33:12,378 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,378 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,378 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,379 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,380 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ -7.9867096 -8.348171 -3.7409904 21.041492 -14.369412 0.92205155 -9.973486 -9.45... [ 2019-11-25 12:33:12,380 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,381 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -7.9867096 -8.348171 -3.7409904 21.041492 -14.369412 0.92205155 -9.973486 -9.45... [ 2019-11-25 12:33:12,381 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,381 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/beta [ 2019-11-25 12:33:12,382 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,382 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,382 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,383 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4806352 -0.7902276 -0.23601179 -2.4173033 -1.4602869 -1.0024903 -1.7470835 -0.99495256 ... [ 2019-11-25 12:33:12,383 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,383 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/ReadVariableOp [ 2019-11-25 12:33:12,383 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,383 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,385 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.4806352 -0.7902276 -0.23601179 -2.4173033 -1.4602869 -1.0024903 -1.7470835 -0.99495256 ... [ 2019-11-25 12:33:12,385 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,386 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4806352 -0.7902276 -0.23601179 -2.4173033 -1.4602869 -1.0024903 -1.7470835 -0.99495256 ... [ 2019-11-25 12:33:12,386 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,386 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/Const [ 2019-11-25 12:33:12,386 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,387 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,387 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,388 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,388 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,388 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/moving_variance [ 2019-11-25 12:33:12,388 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,388 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,388 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,390 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2500.7417 6525.05 832.8273 2527.7793 3061.6711 911.76013 7523.214 3151.1943 ... [ 2019-11-25 12:33:12,390 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,390 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,390 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,390 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,392 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 2500.7417 6525.05 832.8273 2527.7793 3061.6711 911.76013 7523.214 3151.1943 ... [ 2019-11-25 12:33:12,392 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,394 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2500.7417 6525.05 832.8273 2527.7793 3061.6711 911.76013 7523.214 3151.1943 ... [ 2019-11-25 12:33:12,394 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,394 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/moving_mean [ 2019-11-25 12:33:12,394 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,394 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,394 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,396 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-9.35232639e+00 9.73047256e+00 1.10668240e+01 -9.80646229e+00 1.14875307e+01 1.15410602e+00... [ 2019-11-25 12:33:12,396 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,396 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,396 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,396 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,398 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-9.35232639e+00 9.73047256e+00 1.10668240e+01 -9.80646229e+00 1.14875307e+01 1.15410602e+00... [ 2019-11-25 12:33:12,398 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,399 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-9.35232639e+00 9.73047256e+00 1.10668240e+01 -9.80646229e+00 1.14875307e+01 1.15410602e+00... [ 2019-11-25 12:33:12,399 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,400 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/beta [ 2019-11-25 12:33:12,400 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,400 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,400 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,401 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.614866 -2.624781 -0.6208472 -1.3690656 -0.7604356 0.15706465 -1.3962352 -0.6722417 ... [ 2019-11-25 12:33:12,401 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,401 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/ReadVariableOp [ 2019-11-25 12:33:12,401 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,401 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,403 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.614866 -2.624781 -0.6208472 -1.3690656 -0.7604356 0.15706465 -1.3962352 -0.6722417 ... [ 2019-11-25 12:33:12,403 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,404 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.614866 -2.624781 -0.6208472 -1.3690656 -0.7604356 0.15706465 -1.3962352 -0.6722417 ... [ 2019-11-25 12:33:12,404 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,404 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/Const [ 2019-11-25 12:33:12,404 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,404 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,404 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,406 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,406 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,406 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/moving_variance [ 2019-11-25 12:33:12,406 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,406 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,406 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,407 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1174.2739 8246.814 2131.4602 3687.384 11001.618 13797.102 125.32849 5851.326 ... [ 2019-11-25 12:33:12,407 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,407 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,408 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,408 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,409 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 1174.2739 8246.814 2131.4602 3687.384 11001.618 13797.102 125.32849 5851.326 ... [ 2019-11-25 12:33:12,409 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,410 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1174.2739 8246.814 2131.4602 3687.384 11001.618 13797.102 125.32849 5851.326 ... [ 2019-11-25 12:33:12,411 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,411 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/moving_mean [ 2019-11-25 12:33:12,411 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,411 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,411 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,412 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -3.2748172 -37.119816 -15.642745 -14.779737 41.53136 40.702686 -0.682746 28.806... [ 2019-11-25 12:33:12,412 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,412 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,412 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,412 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,414 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ -3.2748172 -37.119816 -15.642745 -14.779737 41.53136 40.702686 -0.682746 28.806... [ 2019-11-25 12:33:12,414 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,415 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -3.2748172 -37.119816 -15.642745 -14.779737 41.53136 40.702686 -0.682746 28.806... [ 2019-11-25 12:33:12,415 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,415 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/beta [ 2019-11-25 12:33:12,416 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,416 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,416 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,417 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.9980267 -1.6868187 -2.1631753 -1.897603 0.14223891 -1.7312462 -0.6750843 0.73288983 ... [ 2019-11-25 12:33:12,417 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,417 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/ReadVariableOp [ 2019-11-25 12:33:12,417 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,418 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,419 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.9980267 -1.6868187 -2.1631753 -1.897603 0.14223891 -1.7312462 -0.6750843 0.73288983 ... [ 2019-11-25 12:33:12,419 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,420 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.9980267 -1.6868187 -2.1631753 -1.897603 0.14223891 -1.7312462 -0.6750843 0.73288983 ... [ 2019-11-25 12:33:12,420 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,420 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/Const [ 2019-11-25 12:33:12,420 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,420 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,421 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,422 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,422 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,422 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/moving_variance [ 2019-11-25 12:33:12,422 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,422 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,422 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,424 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1558.3726 2044.5441 568.6413 287.8559 1260.1962 65.195564 955.43195 186.13434 ... [ 2019-11-25 12:33:12,424 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,424 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,424 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,424 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,425 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [1558.3726 2044.5441 568.6413 287.8559 1260.1962 65.195564 955.43195 186.13434 ... [ 2019-11-25 12:33:12,425 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,427 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1558.3726 2044.5441 568.6413 287.8559 1260.1962 65.195564 955.43195 186.13434 ... [ 2019-11-25 12:33:12,427 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,427 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/moving_mean [ 2019-11-25 12:33:12,427 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,427 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,427 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,428 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -9.46408 -1.1566994 4.172941 -7.087332 -12.41615 -6.6041136 -19.286047 -0.572... [ 2019-11-25 12:33:12,429 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,429 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,429 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,429 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,430 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ -9.46408 -1.1566994 4.172941 -7.087332 -12.41615 -6.6041136 -19.286047 -0.572... [ 2019-11-25 12:33:12,430 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,432 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -9.46408 -1.1566994 4.172941 -7.087332 -12.41615 -6.6041136 -19.286047 -0.572... [ 2019-11-25 12:33:12,432 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,432 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/beta [ 2019-11-25 12:33:12,432 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,432 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,432 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,434 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.9628456 -2.1343644 0.5469037 -1.5355967 -1.9510077 -1.5776505 -0.21369678 -0.24943165 ... [ 2019-11-25 12:33:12,434 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,434 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/ReadVariableOp [ 2019-11-25 12:33:12,434 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,434 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,435 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.9628456 -2.1343644 0.5469037 -1.5355967 -1.9510077 -1.5776505 -0.21369678 -0.24943165 ... [ 2019-11-25 12:33:12,435 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,437 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.9628456 -2.1343644 0.5469037 -1.5355967 -1.9510077 -1.5776505 -0.21369678 -0.24943165 ... [ 2019-11-25 12:33:12,437 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,437 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/Const [ 2019-11-25 12:33:12,437 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,437 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,437 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,438 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_69/kernel [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.54075706 -0.66122067 -0.3250887 ... 0.63724774 0.15340726 -0.6752027 ] [-0.24859... [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_69/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,439 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,440 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,440 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.54075706 -0.66122067 -0.3250887 ... 0.63724774 0.15340726 -0.6752027 ] [-0.24859... [ 2019-11-25 12:33:12,440 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,441 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.54075706 -0.66122067 -0.3250887 ... 0.63724774 0.15340726 -0.6752027 ] [-0.24859... [ 2019-11-25 12:33:12,441 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,441 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_68/kernel [ 2019-11-25 12:33:12,441 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,441 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,441 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,443 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[ 0.5717285 0.08439851 -0.393032 ... -0.58232826 -0.63371694 -0.61354464] [-0.61895... [ 2019-11-25 12:33:12,443 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,443 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_68/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,443 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,443 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,445 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 192 192], value = [[[[ 0.5717285 0.08439851 -0.393032 ... -0.58232826 -0.63371694 -0.61354464] [-0.61895... [ 2019-11-25 12:33:12,445 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,446 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[ 0.5717285 0.08439851 -0.393032 ... -0.58232826 -0.63371694 -0.61354464] [-0.61895... [ 2019-11-25 12:33:12,447 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,447 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_63/kernel [ 2019-11-25 12:33:12,447 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,447 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,447 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,449 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[-0.56046045 -0.15143839 0.7454695 ... -0.61083126 -0.61410403 -0.58223814] [-0.47961... [ 2019-11-25 12:33:12,449 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,449 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_63/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,449 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,449 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,451 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 192 192], value = [[[[-0.56046045 -0.15143839 0.7454695 ... -0.61083126 -0.61410403 -0.58223814] [-0.47961... [ 2019-11-25 12:33:12,451 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,452 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[-0.56046045 -0.15143839 0.7454695 ... -0.61083126 -0.61410403 -0.58223814] [-0.47961... [ 2019-11-25 12:33:12,452 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,452 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_60/kernel [ 2019-11-25 12:33:12,452 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,453 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,453 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,453 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.271297 0.12888859 0.2872379 ... 0.61722773 -0.56927544 -0.63253015] [-0.40729... [ 2019-11-25 12:33:12,453 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,453 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_60/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,453 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,454 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,454 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.271297 0.12888859 0.2872379 ... 0.61722773 -0.56927544 -0.63253015] [-0.40729... [ 2019-11-25 12:33:12,454 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,455 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.271297 0.12888859 0.2872379 ... 0.61722773 -0.56927544 -0.63253015] [-0.40729... [ 2019-11-25 12:33:12,455 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,455 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/moving_variance [ 2019-11-25 12:33:12,455 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,455 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,455 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,456 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 3685.4995 896.78815 2317.884 1999.6849 1584.3484 1541.8124 1380.718 1878.6031 ... [ 2019-11-25 12:33:12,456 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,457 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,457 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,457 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,458 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 3685.4995 896.78815 2317.884 1999.6849 1584.3484 1541.8124 1380.718 1878.6031 ... [ 2019-11-25 12:33:12,458 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,459 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 3685.4995 896.78815 2317.884 1999.6849 1584.3484 1541.8124 1380.718 1878.6031 ... [ 2019-11-25 12:33:12,460 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,460 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/moving_mean [ 2019-11-25 12:33:12,460 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,460 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,460 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,461 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-10.215454 19.372337 1.4320499 0.37564993 6.637721 0.77951837 -4.4683557 -7.00... [ 2019-11-25 12:33:12,461 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,461 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,461 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,462 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,463 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-10.215454 19.372337 1.4320499 0.37564993 6.637721 0.77951837 -4.4683557 -7.00... [ 2019-11-25 12:33:12,463 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,465 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-10.215454 19.372337 1.4320499 0.37564993 6.637721 0.77951837 -4.4683557 -7.00... [ 2019-11-25 12:33:12,465 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,465 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/beta [ 2019-11-25 12:33:12,465 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,465 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,465 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,466 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.42393762 -1.2381895 -1.7928588 -1.2198328 -0.21338685 -0.0925929 -1.8030692 0.15053692 ... [ 2019-11-25 12:33:12,467 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,467 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/ReadVariableOp [ 2019-11-25 12:33:12,467 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,467 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,468 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.42393762 -1.2381895 -1.7928588 -1.2198328 -0.21338685 -0.0925929 -1.8030692 0.15053692 ... [ 2019-11-25 12:33:12,468 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,470 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.42393762 -1.2381895 -1.7928588 -1.2198328 -0.21338685 -0.0925929 -1.8030692 0.15053692 ... [ 2019-11-25 12:33:12,470 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,470 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/Const [ 2019-11-25 12:33:12,470 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,470 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,470 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,471 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,471 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,471 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/moving_variance [ 2019-11-25 12:33:12,471 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,471 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,472 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,473 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2107.903 2731.4363 976.50806 331.75943 3310.7231 6743.93 11262.137 1185.6461 2... [ 2019-11-25 12:33:12,473 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,473 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,473 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,473 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,475 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 2107.903 2731.4363 976.50806 331.75943 3310.7231 6743.93 11262.137 1185.6461 2... [ 2019-11-25 12:33:12,475 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,476 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2107.903 2731.4363 976.50806 331.75943 3310.7231 6743.93 11262.137 1185.6461 2... [ 2019-11-25 12:33:12,476 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,476 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/moving_mean [ 2019-11-25 12:33:12,476 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,476 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,476 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,478 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 7.7477813 -14.382364 0.13639426 -6.056158 0.05998274 16.384691 21.81665 -3.... [ 2019-11-25 12:33:12,478 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,478 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,478 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,478 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,479 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 7.7477813 -14.382364 0.13639426 -6.056158 0.05998274 16.384691 21.81665 -3.... [ 2019-11-25 12:33:12,480 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,481 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 7.7477813 -14.382364 0.13639426 -6.056158 0.05998274 16.384691 21.81665 -3.... [ 2019-11-25 12:33:12,481 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,481 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/beta [ 2019-11-25 12:33:12,481 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,481 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,481 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,483 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.23864369 -0.9901937 -0.13436608 -0.23144639 -1.9439162 0.35226274 -0.2776955 0.9812808 ... [ 2019-11-25 12:33:12,483 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,483 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/ReadVariableOp [ 2019-11-25 12:33:12,483 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,483 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,484 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.23864369 -0.9901937 -0.13436608 -0.23144639 -1.9439162 0.35226274 -0.2776955 0.9812808 ... [ 2019-11-25 12:33:12,484 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,486 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.23864369 -0.9901937 -0.13436608 -0.23144639 -1.9439162 0.35226274 -0.2776955 0.9812808 ... [ 2019-11-25 12:33:12,486 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,486 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/Const [ 2019-11-25 12:33:12,486 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,486 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,486 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,487 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,488 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,488 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_67/kernel [ 2019-11-25 12:33:12,488 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,488 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,488 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,489 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[-0.77096575 0.6053841 -0.7388945 ... 0.4398504 0.90332496 -0.589473 ] [-0.59317... [ 2019-11-25 12:33:12,490 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,490 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_67/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,490 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,490 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,492 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 192 192], value = [[[[-0.77096575 0.6053841 -0.7388945 ... 0.4398504 0.90332496 -0.589473 ] [-0.59317... [ 2019-11-25 12:33:12,492 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,493 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[-0.77096575 0.6053841 -0.7388945 ... 0.4398504 0.90332496 -0.589473 ] [-0.59317... [ 2019-11-25 12:33:12,493 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,493 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_62/kernel [ 2019-11-25 12:33:12,493 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,494 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,494 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,495 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[ 0.22673438 0.4014414 0.12438551 ... 0.6412464 -0.71065634 0.4002234 ] [-0.77934... [ 2019-11-25 12:33:12,495 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,495 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_62/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,496 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,496 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,498 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 192 192], value = [[[[ 0.22673438 0.4014414 0.12438551 ... 0.6412464 -0.71065634 0.4002234 ] [-0.77934... [ 2019-11-25 12:33:12,498 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,499 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[ 0.22673438 0.4014414 0.12438551 ... 0.6412464 -0.71065634 0.4002234 ] [-0.77934... [ 2019-11-25 12:33:12,500 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,500 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/moving_variance [ 2019-11-25 12:33:12,500 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,500 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,500 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,501 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1806.174 1112.0891 2730.4297 1868.0664 1021.7523 907.2832 2923.8005 1450.5206 ... [ 2019-11-25 12:33:12,501 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,501 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,501 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,502 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,503 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 1806.174 1112.0891 2730.4297 1868.0664 1021.7523 907.2832 2923.8005 1450.5206 ... [ 2019-11-25 12:33:12,503 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,504 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1806.174 1112.0891 2730.4297 1868.0664 1021.7523 907.2832 2923.8005 1450.5206 ... [ 2019-11-25 12:33:12,504 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,504 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/moving_mean [ 2019-11-25 12:33:12,505 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,505 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,505 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,506 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1.54395304e+01 -2.75203872e+00 -6.19772339e+00 9.82747555e+00 4.93379879e+00 -5.32563782e+00... [ 2019-11-25 12:33:12,506 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,506 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,506 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,506 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,508 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 1.54395304e+01 -2.75203872e+00 -6.19772339e+00 9.82747555e+00 4.93379879e+00 -5.32563782e+00... [ 2019-11-25 12:33:12,508 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,509 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1.54395304e+01 -2.75203872e+00 -6.19772339e+00 9.82747555e+00 4.93379879e+00 -5.32563782e+00... [ 2019-11-25 12:33:12,509 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,509 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/beta [ 2019-11-25 12:33:12,509 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,509 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,510 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,511 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.8865552 -0.06894203 -1.0260062 -1.3334259 -1.533467 0.06073421 -0.858097 -2.2065043 ... [ 2019-11-25 12:33:12,511 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,511 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/ReadVariableOp [ 2019-11-25 12:33:12,511 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,511 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,513 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.8865552 -0.06894203 -1.0260062 -1.3334259 -1.533467 0.06073421 -0.858097 -2.2065043 ... [ 2019-11-25 12:33:12,513 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,514 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.8865552 -0.06894203 -1.0260062 -1.3334259 -1.533467 0.06073421 -0.858097 -2.2065043 ... [ 2019-11-25 12:33:12,514 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,514 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/Const [ 2019-11-25 12:33:12,514 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,514 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,514 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,516 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,516 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,516 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/moving_variance [ 2019-11-25 12:33:12,516 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,516 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,516 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,518 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [3423.2852 300.73895 898.47437 3068.819 771.0612 1880.3022 1087.6554 181.86961 1... [ 2019-11-25 12:33:12,518 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,518 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,518 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,518 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,519 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [3423.2852 300.73895 898.47437 3068.819 771.0612 1880.3022 1087.6554 181.86961 1... [ 2019-11-25 12:33:12,519 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,521 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [3423.2852 300.73895 898.47437 3068.819 771.0612 1880.3022 1087.6554 181.86961 1... [ 2019-11-25 12:33:12,521 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,521 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/moving_mean [ 2019-11-25 12:33:12,521 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,521 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,521 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,523 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 17.009535 7.095002 -15.3386345 23.717407 6.869059 -15.248261 15.00461 -4.46... [ 2019-11-25 12:33:12,523 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,523 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,523 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,523 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,524 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 17.009535 7.095002 -15.3386345 23.717407 6.869059 -15.248261 15.00461 -4.46... [ 2019-11-25 12:33:12,524 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,526 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 17.009535 7.095002 -15.3386345 23.717407 6.869059 -15.248261 15.00461 -4.46... [ 2019-11-25 12:33:12,526 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,526 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/beta [ 2019-11-25 12:33:12,526 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,526 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,526 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,527 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.3604248 -0.87815994 -1.1130958 -0.94124997 -0.01801836 -2.4726284 -0.9703241 -0.2474264 ... [ 2019-11-25 12:33:12,528 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,528 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/ReadVariableOp [ 2019-11-25 12:33:12,528 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,528 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,529 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.3604248 -0.87815994 -1.1130958 -0.94124997 -0.01801836 -2.4726284 -0.9703241 -0.2474264 ... [ 2019-11-25 12:33:12,529 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,531 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.3604248 -0.87815994 -1.1130958 -0.94124997 -0.01801836 -2.4726284 -0.9703241 -0.2474264 ... [ 2019-11-25 12:33:12,531 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,531 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/Const [ 2019-11-25 12:33:12,531 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,531 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,531 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,533 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,533 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,533 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_66/kernel [ 2019-11-25 12:33:12,533 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,533 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,533 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,535 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[-0.3463437 -0.60177684 0.22222014 ... -0.06887316 0.59666544 0.5856245 ] [-0.39338... [ 2019-11-25 12:33:12,535 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,535 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_66/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,535 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,535 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,537 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 192 192], value = [[[[-0.3463437 -0.60177684 0.22222014 ... -0.06887316 0.59666544 0.5856245 ] [-0.39338... [ 2019-11-25 12:33:12,537 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,538 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 192 192], value = [[[[-0.3463437 -0.60177684 0.22222014 ... -0.06887316 0.59666544 0.5856245 ] [-0.39338... [ 2019-11-25 12:33:12,538 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,538 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_61/kernel [ 2019-11-25 12:33:12,538 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,539 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,539 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,539 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.45861325 0.62939835 0.7073038 ... -0.6428783 -0.60618603 0.63193256] [ 0.34324... [ 2019-11-25 12:33:12,539 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,539 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_61/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,539 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,539 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,540 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.45861325 0.62939835 0.7073038 ... -0.6428783 -0.60618603 0.63193256] [ 0.34324... [ 2019-11-25 12:33:12,540 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,540 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.45861325 0.62939835 0.7073038 ... -0.6428783 -0.60618603 0.63193256] [ 0.34324... [ 2019-11-25 12:33:12,541 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,541 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/moving_variance [ 2019-11-25 12:33:12,541 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,541 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,541 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,542 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 3139.263 1995.06 1660.8823 737.3264 1888.3097 3114.4731 2153.287 975.4705 ... [ 2019-11-25 12:33:12,542 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,542 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,542 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,543 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,544 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 3139.263 1995.06 1660.8823 737.3264 1888.3097 3114.4731 2153.287 975.4705 ... [ 2019-11-25 12:33:12,544 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,545 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 3139.263 1995.06 1660.8823 737.3264 1888.3097 3114.4731 2153.287 975.4705 ... [ 2019-11-25 12:33:12,546 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,546 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/moving_mean [ 2019-11-25 12:33:12,546 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,546 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,546 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,547 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 9.437099 -22.417843 -6.53709 -12.921893 -13.501855 -4.9975724 -17.148067 6.08... [ 2019-11-25 12:33:12,547 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,547 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,547 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,547 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,549 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 9.437099 -22.417843 -6.53709 -12.921893 -13.501855 -4.9975724 -17.148067 6.08... [ 2019-11-25 12:33:12,549 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,550 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 9.437099 -22.417843 -6.53709 -12.921893 -13.501855 -4.9975724 -17.148067 6.08... [ 2019-11-25 12:33:12,551 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,551 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/beta [ 2019-11-25 12:33:12,551 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,551 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,551 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,552 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4195485 -1.7071121 -1.6107229 -1.6544142 -1.4736701 -1.0697949 -1.3011928 -0.14872815 ... [ 2019-11-25 12:33:12,552 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,552 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/ReadVariableOp [ 2019-11-25 12:33:12,552 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,553 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,554 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.4195485 -1.7071121 -1.6107229 -1.6544142 -1.4736701 -1.0697949 -1.3011928 -0.14872815 ... [ 2019-11-25 12:33:12,554 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,555 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4195485 -1.7071121 -1.6107229 -1.6544142 -1.4736701 -1.0697949 -1.3011928 -0.14872815 ... [ 2019-11-25 12:33:12,555 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,555 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/Const [ 2019-11-25 12:33:12,555 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,556 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,556 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,557 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,557 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,557 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_65/kernel [ 2019-11-25 12:33:12,557 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,557 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,557 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,559 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[ 0.04192163 0.40036088 -0.62326956 ... 0.4826535 0.30529562 -1.0023309 ] [ 0.44121... [ 2019-11-25 12:33:12,559 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,559 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_65/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,559 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,559 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,561 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 192 192], value = [[[[ 0.04192163 0.40036088 -0.62326956 ... 0.4826535 0.30529562 -1.0023309 ] [ 0.44121... [ 2019-11-25 12:33:12,561 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,563 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 192 192], value = [[[[ 0.04192163 0.40036088 -0.62326956 ... 0.4826535 0.30529562 -1.0023309 ] [ 0.44121... [ 2019-11-25 12:33:12,563 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,563 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/moving_variance [ 2019-11-25 12:33:12,563 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,563 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,563 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,565 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [2330.5984 3417.5918 1554.6626 976.1547 4440.0327 2549.2734 2924.9912 2643.9773 2259.736... [ 2019-11-25 12:33:12,565 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,565 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,565 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,565 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,567 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [2330.5984 3417.5918 1554.6626 976.1547 4440.0327 2549.2734 2924.9912 2643.9773 2259.736... [ 2019-11-25 12:33:12,567 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,568 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [2330.5984 3417.5918 1554.6626 976.1547 4440.0327 2549.2734 2924.9912 2643.9773 2259.736... [ 2019-11-25 12:33:12,568 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,568 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/moving_mean [ 2019-11-25 12:33:12,568 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,568 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,568 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,570 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-12.22278 -27.487406 19.25965 9.57907 -11.91723 8.099294 15.816745 19.096... [ 2019-11-25 12:33:12,570 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,570 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,570 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,570 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,571 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-12.22278 -27.487406 19.25965 9.57907 -11.91723 8.099294 15.816745 19.096... [ 2019-11-25 12:33:12,571 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,573 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-12.22278 -27.487406 19.25965 9.57907 -11.91723 8.099294 15.816745 19.096... [ 2019-11-25 12:33:12,573 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,573 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/beta [ 2019-11-25 12:33:12,573 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,573 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,573 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,574 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.0143694 -1.3737863 -1.4240694 -0.42137247 -1.800388 -2.098274 -0.97616 -0.96159524 ... [ 2019-11-25 12:33:12,575 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,575 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/ReadVariableOp [ 2019-11-25 12:33:12,575 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,575 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,576 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.0143694 -1.3737863 -1.4240694 -0.42137247 -1.800388 -2.098274 -0.97616 -0.96159524 ... [ 2019-11-25 12:33:12,576 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,578 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.0143694 -1.3737863 -1.4240694 -0.42137247 -1.800388 -2.098274 -0.97616 -0.96159524 ... [ 2019-11-25 12:33:12,578 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,578 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/Const [ 2019-11-25 12:33:12,578 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,578 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,578 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,579 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,579 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,579 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_64/kernel [ 2019-11-25 12:33:12,579 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,580 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,580 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,580 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.7560554 -0.5092385 0.6578845 ... 0.45981178 -0.6328376 -0.57321745] [ 0.620281... [ 2019-11-25 12:33:12,580 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,580 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_64/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,580 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,581 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,581 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.7560554 -0.5092385 0.6578845 ... 0.45981178 -0.6328376 -0.57321745] [ 0.620281... [ 2019-11-25 12:33:12,581 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,582 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.7560554 -0.5092385 0.6578845 ... 0.45981178 -0.6328376 -0.57321745] [ 0.620281... [ 2019-11-25 12:33:12,582 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,582 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed6/concat/axis [ 2019-11-25 12:33:12,582 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,582 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,582 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,583 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:12,583 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,583 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/moving_variance [ 2019-11-25 12:33:12,583 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,583 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,583 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,584 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 457.8163 1563.0433 1812.3875 677.5292 417.20023 3577.326 3388.3357 446... [ 2019-11-25 12:33:12,584 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,584 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,585 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,585 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,586 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 457.8163 1563.0433 1812.3875 677.5292 417.20023 3577.326 3388.3357 446... [ 2019-11-25 12:33:12,586 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,587 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 457.8163 1563.0433 1812.3875 677.5292 417.20023 3577.326 3388.3357 446... [ 2019-11-25 12:33:12,588 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,588 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/moving_mean [ 2019-11-25 12:33:12,588 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,588 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,588 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,589 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -9.939855 -18.89885 -3.4077113 -19.65615 -3.9929807 25.45133 -20.814892 -19.0... [ 2019-11-25 12:33:12,589 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,589 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,589 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,590 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,591 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ -9.939855 -18.89885 -3.4077113 -19.65615 -3.9929807 25.45133 -20.814892 -19.0... [ 2019-11-25 12:33:12,591 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,592 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ -9.939855 -18.89885 -3.4077113 -19.65615 -3.9929807 25.45133 -20.814892 -19.0... [ 2019-11-25 12:33:12,592 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,593 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/beta [ 2019-11-25 12:33:12,593 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,593 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,593 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,594 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.28715 -0.14803979 -1.8461467 -0.40726236 -1.1526171 0.32180864 -1.0260412 -0.14656769... [ 2019-11-25 12:33:12,594 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,594 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/ReadVariableOp [ 2019-11-25 12:33:12,595 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,595 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,596 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.28715 -0.14803979 -1.8461467 -0.40726236 -1.1526171 0.32180864 -1.0260412 -0.14656769... [ 2019-11-25 12:33:12,596 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,597 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.28715 -0.14803979 -1.8461467 -0.40726236 -1.1526171 0.32180864 -1.0260412 -0.14656769... [ 2019-11-25 12:33:12,598 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,598 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/Const [ 2019-11-25 12:33:12,598 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,598 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,598 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,599 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,599 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,599 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/moving_variance [ 2019-11-25 12:33:12,599 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,599 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,599 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,601 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 867.8184 2608.9238 1322.6257 4937.765 3036.6372 808.49036 6248.259 7828.2593 ... [ 2019-11-25 12:33:12,601 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,601 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,601 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,601 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,603 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 867.8184 2608.9238 1322.6257 4937.765 3036.6372 808.49036 6248.259 7828.2593 ... [ 2019-11-25 12:33:12,603 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,604 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 867.8184 2608.9238 1322.6257 4937.765 3036.6372 808.49036 6248.259 7828.2593 ... [ 2019-11-25 12:33:12,604 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,604 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/moving_mean [ 2019-11-25 12:33:12,604 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,604 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,604 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,606 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-8.5243645e+00 -2.4800442e+01 4.4520121e+00 -3.4292942e+01 2.0166124e+01 -7.4529915e+00 -4.42... [ 2019-11-25 12:33:12,606 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,606 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,606 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,606 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,607 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-8.5243645e+00 -2.4800442e+01 4.4520121e+00 -3.4292942e+01 2.0166124e+01 -7.4529915e+00 -4.42... [ 2019-11-25 12:33:12,607 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,609 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-8.5243645e+00 -2.4800442e+01 4.4520121e+00 -3.4292942e+01 2.0166124e+01 -7.4529915e+00 -4.42... [ 2019-11-25 12:33:12,609 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,609 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/beta [ 2019-11-25 12:33:12,609 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,609 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,609 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,611 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.5140153 -1.533342 -0.43188977 -1.2326001 0.21581624 -0.48778045 0.13362204 0.44164306... [ 2019-11-25 12:33:12,612 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,612 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/ReadVariableOp [ 2019-11-25 12:33:12,612 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,612 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,614 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.5140153 -1.533342 -0.43188977 -1.2326001 0.21581624 -0.48778045 0.13362204 0.44164306... [ 2019-11-25 12:33:12,614 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,616 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.5140153 -1.533342 -0.43188977 -1.2326001 0.21581624 -0.48778045 0.13362204 0.44164306... [ 2019-11-25 12:33:12,616 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,616 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/Const [ 2019-11-25 12:33:12,616 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,617 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,617 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,618 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,618 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,618 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/moving_variance [ 2019-11-25 12:33:12,618 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,618 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,618 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,620 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 593.05396 5262.956 4155.1616 4251.0435 1859.6283 562.5391 2899.9204 2738.8965 ... [ 2019-11-25 12:33:12,620 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,620 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,620 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,620 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,621 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 593.05396 5262.956 4155.1616 4251.0435 1859.6283 562.5391 2899.9204 2738.8965 ... [ 2019-11-25 12:33:12,621 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,623 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 593.05396 5262.956 4155.1616 4251.0435 1859.6283 562.5391 2899.9204 2738.8965 ... [ 2019-11-25 12:33:12,623 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,623 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/moving_mean [ 2019-11-25 12:33:12,623 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,623 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,623 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,625 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-16.682568 18.92842 -11.213213 18.928257 -22.942251 -10.971092 -16.5478 8.22... [ 2019-11-25 12:33:12,625 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,625 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,625 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,625 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,626 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-16.682568 18.92842 -11.213213 18.928257 -22.942251 -10.971092 -16.5478 8.22... [ 2019-11-25 12:33:12,626 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,628 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-16.682568 18.92842 -11.213213 18.928257 -22.942251 -10.971092 -16.5478 8.22... [ 2019-11-25 12:33:12,628 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,628 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/beta [ 2019-11-25 12:33:12,628 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,628 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,628 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,629 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.5581535 -0.8915711 -1.2404579 -0.4632082 -1.3598714 -0.23013838 -1.2624924 -1.2853018 ... [ 2019-11-25 12:33:12,630 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,630 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/ReadVariableOp [ 2019-11-25 12:33:12,630 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,630 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,631 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 0.5581535 -0.8915711 -1.2404579 -0.4632082 -1.3598714 -0.23013838 -1.2624924 -1.2853018 ... [ 2019-11-25 12:33:12,631 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,633 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.5581535 -0.8915711 -1.2404579 -0.4632082 -1.3598714 -0.23013838 -1.2624924 -1.2853018 ... [ 2019-11-25 12:33:12,633 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,633 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/Const [ 2019-11-25 12:33:12,633 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,633 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,633 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,634 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,634 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,635 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/moving_variance [ 2019-11-25 12:33:12,635 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,635 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,635 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,636 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4615.467 5239.8447 1533.6641 655.25946 520.88403 616.3281 4117.576 282.39236 ... [ 2019-11-25 12:33:12,636 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,636 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,636 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,636 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,638 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 4615.467 5239.8447 1533.6641 655.25946 520.88403 616.3281 4117.576 282.39236 ... [ 2019-11-25 12:33:12,638 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,639 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4615.467 5239.8447 1533.6641 655.25946 520.88403 616.3281 4117.576 282.39236 ... [ 2019-11-25 12:33:12,639 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,639 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/moving_mean [ 2019-11-25 12:33:12,639 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,640 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,640 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,641 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.50156136e+01 -2.07594013e+01 -3.88187861e+00 -2.06816063e+01 -1.27562208e+01 -2.84321094e+00... [ 2019-11-25 12:33:12,641 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,641 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,641 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,642 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,643 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.50156136e+01 -2.07594013e+01 -3.88187861e+00 -2.06816063e+01 -1.27562208e+01 -2.84321094e+00... [ 2019-11-25 12:33:12,643 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,645 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.50156136e+01 -2.07594013e+01 -3.88187861e+00 -2.06816063e+01 -1.27562208e+01 -2.84321094e+00... [ 2019-11-25 12:33:12,645 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,645 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/beta [ 2019-11-25 12:33:12,645 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,645 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,645 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,647 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.638626 0.1859595 -0.56619084 0.15665078 -1.087277 0.28166896 0.87932044 -1.4916832 ... [ 2019-11-25 12:33:12,647 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,647 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/ReadVariableOp [ 2019-11-25 12:33:12,647 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,647 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,649 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 0.638626 0.1859595 -0.56619084 0.15665078 -1.087277 0.28166896 0.87932044 -1.4916832 ... [ 2019-11-25 12:33:12,649 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,650 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.638626 0.1859595 -0.56619084 0.15665078 -1.087277 0.28166896 0.87932044 -1.4916832 ... [ 2019-11-25 12:33:12,650 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,650 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/Const [ 2019-11-25 12:33:12,650 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,650 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,650 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,652 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,652 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,652 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_59/kernel [ 2019-11-25 12:33:12,652 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,652 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,652 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,653 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.6210443 -0.58454865 -0.03731487 ... -0.26976234 0.63684624 -0.82184297] [ 0.59822... [ 2019-11-25 12:33:12,653 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,653 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_59/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,653 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,653 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,653 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.6210443 -0.58454865 -0.03731487 ... -0.26976234 0.63684624 -0.82184297] [ 0.59822... [ 2019-11-25 12:33:12,654 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,654 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.6210443 -0.58454865 -0.03731487 ... -0.26976234 0.63684624 -0.82184297] [ 0.59822... [ 2019-11-25 12:33:12,654 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,654 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_58/kernel [ 2019-11-25 12:33:12,654 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,654 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,654 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,656 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 192], value = [[[[ 0.5953513 -0.603106 -0.34166777 ... -0.73458946 0.76200974 -0.7950715 ] [-0.19765... [ 2019-11-25 12:33:12,656 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,656 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_58/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,656 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,657 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,658 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 160 192], value = [[[[ 0.5953513 -0.603106 -0.34166777 ... -0.73458946 0.76200974 -0.7950715 ] [-0.19765... [ 2019-11-25 12:33:12,658 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,660 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 192], value = [[[[ 0.5953513 -0.603106 -0.34166777 ... -0.73458946 0.76200974 -0.7950715 ] [-0.19765... [ 2019-11-25 12:33:12,660 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,660 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_53/kernel [ 2019-11-25 12:33:12,660 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,660 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,660 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,662 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 192], value = [[[[-0.67833817 0.61215425 -0.7309415 ... 0.55597883 -0.47376072 -0.828961 ] [-0.12643... [ 2019-11-25 12:33:12,662 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,662 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_53/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,662 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,662 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,664 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 160 192], value = [[[[-0.67833817 0.61215425 -0.7309415 ... 0.55597883 -0.47376072 -0.828961 ] [-0.12643... [ 2019-11-25 12:33:12,664 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,666 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 192], value = [[[[-0.67833817 0.61215425 -0.7309415 ... 0.55597883 -0.47376072 -0.828961 ] [-0.12643... [ 2019-11-25 12:33:12,666 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,666 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_50/kernel [ 2019-11-25 12:33:12,666 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,666 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,666 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,667 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.8570373 0.4162742 0.18428694 ... -0.61748 0.86545575 0.59648365] [-0.35803... [ 2019-11-25 12:33:12,667 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,667 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_50/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,667 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,667 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,668 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.8570373 0.4162742 0.18428694 ... -0.61748 0.86545575 0.59648365] [-0.35803... [ 2019-11-25 12:33:12,668 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,668 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.8570373 0.4162742 0.18428694 ... -0.61748 0.86545575 0.59648365] [-0.35803... [ 2019-11-25 12:33:12,668 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,668 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/moving_variance [ 2019-11-25 12:33:12,669 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,669 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,669 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,670 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [10565.088 4098.1177 7855.914 2687.806 2674.1702 2033.9192 1282.2859 2592.0078 ... [ 2019-11-25 12:33:12,670 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,670 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,670 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,670 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,671 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [10565.088 4098.1177 7855.914 2687.806 2674.1702 2033.9192 1282.2859 2592.0078 ... [ 2019-11-25 12:33:12,671 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,673 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [10565.088 4098.1177 7855.914 2687.806 2674.1702 2033.9192 1282.2859 2592.0078 ... [ 2019-11-25 12:33:12,673 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,673 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/moving_mean [ 2019-11-25 12:33:12,673 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,673 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,673 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,675 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-47.25903 36.508133 -32.779137 12.76107 27.922998 22.087675 -12.977302 5.42... [ 2019-11-25 12:33:12,675 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,675 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,675 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,675 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,677 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-47.25903 36.508133 -32.779137 12.76107 27.922998 22.087675 -12.977302 5.42... [ 2019-11-25 12:33:12,677 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,678 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-47.25903 36.508133 -32.779137 12.76107 27.922998 22.087675 -12.977302 5.42... [ 2019-11-25 12:33:12,678 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,678 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/beta [ 2019-11-25 12:33:12,678 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,678 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,678 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,680 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.5407712 1.1413451 -0.2344811 -0.74845856 -0.02286435 0.28420907 -1.353104 -0.81269145... [ 2019-11-25 12:33:12,680 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,680 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/ReadVariableOp [ 2019-11-25 12:33:12,680 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,680 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,681 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.5407712 1.1413451 -0.2344811 -0.74845856 -0.02286435 0.28420907 -1.353104 -0.81269145... [ 2019-11-25 12:33:12,681 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,683 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.5407712 1.1413451 -0.2344811 -0.74845856 -0.02286435 0.28420907 -1.353104 -0.81269145... [ 2019-11-25 12:33:12,683 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,683 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/Const [ 2019-11-25 12:33:12,683 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,683 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,683 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,684 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,684 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,684 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/moving_variance [ 2019-11-25 12:33:12,684 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,684 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,684 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,686 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1779.4463 670.74835 6884.8003 1067.1304 981.57184 1853.0056 2949.885 749.1545 ... [ 2019-11-25 12:33:12,686 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,686 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,686 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,686 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,687 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 1779.4463 670.74835 6884.8003 1067.1304 981.57184 1853.0056 2949.885 749.1545 ... [ 2019-11-25 12:33:12,687 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,688 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1779.4463 670.74835 6884.8003 1067.1304 981.57184 1853.0056 2949.885 749.1545 ... [ 2019-11-25 12:33:12,688 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,688 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/moving_mean [ 2019-11-25 12:33:12,688 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,689 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,689 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,690 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-12.039407 -6.932251 39.342693 -15.415091 18.301535 -8.501538 26.224157 -10.58... [ 2019-11-25 12:33:12,690 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,690 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,690 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,690 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,691 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-12.039407 -6.932251 39.342693 -15.415091 18.301535 -8.501538 26.224157 -10.58... [ 2019-11-25 12:33:12,691 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,692 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-12.039407 -6.932251 39.342693 -15.415091 18.301535 -8.501538 26.224157 -10.58... [ 2019-11-25 12:33:12,693 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,693 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/beta [ 2019-11-25 12:33:12,693 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,693 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,693 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,694 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.248647 -0.7448414 0.9345622 -0.03651309 -0.8994768 -0.67247367 0.67432135 -0.33674943... [ 2019-11-25 12:33:12,694 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,694 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/ReadVariableOp [ 2019-11-25 12:33:12,694 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,694 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,696 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.248647 -0.7448414 0.9345622 -0.03651309 -0.8994768 -0.67247367 0.67432135 -0.33674943... [ 2019-11-25 12:33:12,696 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,697 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.248647 -0.7448414 0.9345622 -0.03651309 -0.8994768 -0.67247367 0.67432135 -0.33674943... [ 2019-11-25 12:33:12,697 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,697 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/Const [ 2019-11-25 12:33:12,697 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,697 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,697 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,698 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,698 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,698 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_57/kernel [ 2019-11-25 12:33:12,698 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,698 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,699 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,700 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[-0.60413766 0.69703007 0.6096708 ... 0.6089261 -0.48553354 -0.6148989 ] [-0.81068... [ 2019-11-25 12:33:12,700 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,700 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_57/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,700 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,701 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,702 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 160 160], value = [[[[-0.60413766 0.69703007 0.6096708 ... 0.6089261 -0.48553354 -0.6148989 ] [-0.81068... [ 2019-11-25 12:33:12,702 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,704 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[-0.60413766 0.69703007 0.6096708 ... 0.6089261 -0.48553354 -0.6148989 ] [-0.81068... [ 2019-11-25 12:33:12,704 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,704 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_52/kernel [ 2019-11-25 12:33:12,704 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,704 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,704 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,706 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[-0.81932414 0.02609437 0.0587902 ... -0.6176535 -0.74461204 0.56539565] [ 0.50214... [ 2019-11-25 12:33:12,706 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,706 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_52/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,706 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,706 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,708 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 160 160], value = [[[[-0.81932414 0.02609437 0.0587902 ... -0.6176535 -0.74461204 0.56539565] [ 0.50214... [ 2019-11-25 12:33:12,708 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,710 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[-0.81932414 0.02609437 0.0587902 ... -0.6176535 -0.74461204 0.56539565] [ 0.50214... [ 2019-11-25 12:33:12,710 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,710 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/moving_variance [ 2019-11-25 12:33:12,710 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,710 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,710 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,711 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 3461.6523 4754.4507 8398.77 1951.9994 727.7993 11460.229 1595.3955 602.9226 ... [ 2019-11-25 12:33:12,711 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,711 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,711 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,712 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,713 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 3461.6523 4754.4507 8398.77 1951.9994 727.7993 11460.229 1595.3955 602.9226 ... [ 2019-11-25 12:33:12,713 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,714 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 3461.6523 4754.4507 8398.77 1951.9994 727.7993 11460.229 1595.3955 602.9226 ... [ 2019-11-25 12:33:12,714 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,714 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/moving_mean [ 2019-11-25 12:33:12,714 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,715 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,715 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,716 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 6.9544554 -38.141758 45.195637 16.10995 -13.73143 -59.403893 -45.13022 -19.374... [ 2019-11-25 12:33:12,716 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,716 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,716 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,716 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,717 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 6.9544554 -38.141758 45.195637 16.10995 -13.73143 -59.403893 -45.13022 -19.374... [ 2019-11-25 12:33:12,718 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,719 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 6.9544554 -38.141758 45.195637 16.10995 -13.73143 -59.403893 -45.13022 -19.374... [ 2019-11-25 12:33:12,719 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,719 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/beta [ 2019-11-25 12:33:12,719 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,719 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,719 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,720 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-7.75823653e-01 -1.46336019e+00 6.79096699e-01 -2.90641159e-01 -1.89504659e+00 -1.01557600e+00... [ 2019-11-25 12:33:12,720 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,720 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/ReadVariableOp [ 2019-11-25 12:33:12,720 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,721 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,722 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-7.75823653e-01 -1.46336019e+00 6.79096699e-01 -2.90641159e-01 -1.89504659e+00 -1.01557600e+00... [ 2019-11-25 12:33:12,722 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,723 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-7.75823653e-01 -1.46336019e+00 6.79096699e-01 -2.90641159e-01 -1.89504659e+00 -1.01557600e+00... [ 2019-11-25 12:33:12,723 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,723 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/Const [ 2019-11-25 12:33:12,723 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,723 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,723 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,724 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,724 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,724 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/moving_variance [ 2019-11-25 12:33:12,724 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,725 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,725 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,726 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [2118.1235 184.92625 1742.5037 804.56494 488.10605 3054.8083 1105.7802 991.54834 4192.737... [ 2019-11-25 12:33:12,726 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,726 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,726 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,726 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,727 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [2118.1235 184.92625 1742.5037 804.56494 488.10605 3054.8083 1105.7802 991.54834 4192.737... [ 2019-11-25 12:33:12,727 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,728 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [2118.1235 184.92625 1742.5037 804.56494 488.10605 3054.8083 1105.7802 991.54834 4192.737... [ 2019-11-25 12:33:12,729 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,729 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/moving_mean [ 2019-11-25 12:33:12,729 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,729 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,729 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,730 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-2.16105785e+01 -1.62389278e+01 -2.28613071e+01 -1.03500757e+01 -1.30169353e+01 -1.45817652e+01... [ 2019-11-25 12:33:12,730 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,730 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,730 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,730 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,731 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-2.16105785e+01 -1.62389278e+01 -2.28613071e+01 -1.03500757e+01 -1.30169353e+01 -1.45817652e+01... [ 2019-11-25 12:33:12,732 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,733 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-2.16105785e+01 -1.62389278e+01 -2.28613071e+01 -1.03500757e+01 -1.30169353e+01 -1.45817652e+01... [ 2019-11-25 12:33:12,733 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,733 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/beta [ 2019-11-25 12:33:12,733 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,733 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,733 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,734 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-0.51191443 -0.50141555 -1.0777618 -0.01624787 0.2575397 -1.0025297 0.1503296 -0.88961583 ... [ 2019-11-25 12:33:12,734 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,734 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/ReadVariableOp [ 2019-11-25 12:33:12,734 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,735 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,736 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-0.51191443 -0.50141555 -1.0777618 -0.01624787 0.2575397 -1.0025297 0.1503296 -0.88961583 ... [ 2019-11-25 12:33:12,736 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,737 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-0.51191443 -0.50141555 -1.0777618 -0.01624787 0.2575397 -1.0025297 0.1503296 -0.88961583 ... [ 2019-11-25 12:33:12,737 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,737 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/Const [ 2019-11-25 12:33:12,737 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,737 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,737 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,739 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,739 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,739 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_56/kernel [ 2019-11-25 12:33:12,739 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,739 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,739 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,741 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[-0.74162596 0.58034384 0.38590065 ... -0.62343436 0.5965299 -0.59493923] [ 0.582747... [ 2019-11-25 12:33:12,741 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,741 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_56/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,741 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,741 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,743 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 160 160], value = [[[[-0.74162596 0.58034384 0.38590065 ... -0.62343436 0.5965299 -0.59493923] [ 0.582747... [ 2019-11-25 12:33:12,743 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,744 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[-0.74162596 0.58034384 0.38590065 ... -0.62343436 0.5965299 -0.59493923] [ 0.582747... [ 2019-11-25 12:33:12,744 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,744 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_51/kernel [ 2019-11-25 12:33:12,744 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,745 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,745 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,745 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[-0.17361835 -0.6317607 -0.85389245 ... -0.66892344 -0.59954965 0.5826565 ] [-0.19426... [ 2019-11-25 12:33:12,745 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,745 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_51/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,745 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,745 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,746 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 160], value = [[[[-0.17361835 -0.6317607 -0.85389245 ... -0.66892344 -0.59954965 0.5826565 ] [-0.19426... [ 2019-11-25 12:33:12,746 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,747 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[-0.17361835 -0.6317607 -0.85389245 ... -0.66892344 -0.59954965 0.5826565 ] [-0.19426... [ 2019-11-25 12:33:12,747 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,747 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/moving_variance [ 2019-11-25 12:33:12,747 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,747 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,747 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,748 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 2210.4397 3943.547 4110.2065 3082.052 3422.881 903.9463 6892.63 3586.4866 ... [ 2019-11-25 12:33:12,748 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,748 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,748 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,748 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,750 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 2210.4397 3943.547 4110.2065 3082.052 3422.881 903.9463 6892.63 3586.4866 ... [ 2019-11-25 12:33:12,750 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,751 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 2210.4397 3943.547 4110.2065 3082.052 3422.881 903.9463 6892.63 3586.4866 ... [ 2019-11-25 12:33:12,751 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,751 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/moving_mean [ 2019-11-25 12:33:12,751 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,751 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,751 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,752 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-2.92623005e+01 3.40431175e+01 4.32747421e+01 -3.40223427e+01 2.00911503e+01 -1.79818420e+01... [ 2019-11-25 12:33:12,753 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,753 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,753 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,753 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,754 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-2.92623005e+01 3.40431175e+01 4.32747421e+01 -3.40223427e+01 2.00911503e+01 -1.79818420e+01... [ 2019-11-25 12:33:12,754 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,755 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-2.92623005e+01 3.40431175e+01 4.32747421e+01 -3.40223427e+01 2.00911503e+01 -1.79818420e+01... [ 2019-11-25 12:33:12,755 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,755 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/beta [ 2019-11-25 12:33:12,755 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,756 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,756 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,757 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.7709353 -1.1680071 1.1739535 -0.46084958 -2.3941264 -0.4143986 -1.5607443 -0.32558736 ... [ 2019-11-25 12:33:12,757 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,757 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/ReadVariableOp [ 2019-11-25 12:33:12,757 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,757 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,758 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.7709353 -1.1680071 1.1739535 -0.46084958 -2.3941264 -0.4143986 -1.5607443 -0.32558736 ... [ 2019-11-25 12:33:12,758 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,759 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.7709353 -1.1680071 1.1739535 -0.46084958 -2.3941264 -0.4143986 -1.5607443 -0.32558736 ... [ 2019-11-25 12:33:12,760 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,760 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/Const [ 2019-11-25 12:33:12,760 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,760 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,760 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,761 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,761 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,761 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_55/kernel [ 2019-11-25 12:33:12,761 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,761 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,761 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,763 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[ 0.587546 -0.54898345 -0.56970674 ... -0.5921614 -0.6125858 -0.53045714] [-0.600807... [ 2019-11-25 12:33:12,763 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,763 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_55/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,763 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,763 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,765 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 160 160], value = [[[[ 0.587546 -0.54898345 -0.56970674 ... -0.5921614 -0.6125858 -0.53045714] [-0.600807... [ 2019-11-25 12:33:12,765 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,767 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[ 0.587546 -0.54898345 -0.56970674 ... -0.5921614 -0.6125858 -0.53045714] [-0.600807... [ 2019-11-25 12:33:12,767 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,767 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/moving_variance [ 2019-11-25 12:33:12,767 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,767 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,767 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,768 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1153.4745 456.8563 3037.6707 4478.0874 332.44318 8840.849 1752.8618 7701.6606 1... [ 2019-11-25 12:33:12,768 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,768 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,768 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,768 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,770 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 1153.4745 456.8563 3037.6707 4478.0874 332.44318 8840.849 1752.8618 7701.6606 1... [ 2019-11-25 12:33:12,770 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,771 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1153.4745 456.8563 3037.6707 4478.0874 332.44318 8840.849 1752.8618 7701.6606 1... [ 2019-11-25 12:33:12,771 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,771 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/moving_mean [ 2019-11-25 12:33:12,771 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,771 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,771 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,772 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -9.535746 -8.308286 23.235046 -11.318017 -12.066019 -4.366132 -25.774763 -27.14... [ 2019-11-25 12:33:12,773 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,773 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,773 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,773 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,774 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ -9.535746 -8.308286 23.235046 -11.318017 -12.066019 -4.366132 -25.774763 -27.14... [ 2019-11-25 12:33:12,774 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,775 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -9.535746 -8.308286 23.235046 -11.318017 -12.066019 -4.366132 -25.774763 -27.14... [ 2019-11-25 12:33:12,775 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,775 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/beta [ 2019-11-25 12:33:12,775 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,775 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,776 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,777 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.4074116 -1.3126377 -2.8940763 -1.0334704 -1.4300758 -1.8084606 -2.1676712 -1.7830633 ... [ 2019-11-25 12:33:12,777 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,777 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/ReadVariableOp [ 2019-11-25 12:33:12,777 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,777 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,778 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.4074116 -1.3126377 -2.8940763 -1.0334704 -1.4300758 -1.8084606 -2.1676712 -1.7830633 ... [ 2019-11-25 12:33:12,778 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,779 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.4074116 -1.3126377 -2.8940763 -1.0334704 -1.4300758 -1.8084606 -2.1676712 -1.7830633 ... [ 2019-11-25 12:33:12,779 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,780 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/Const [ 2019-11-25 12:33:12,780 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,780 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,780 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,781 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,781 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,781 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_54/kernel [ 2019-11-25 12:33:12,781 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,781 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,781 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,782 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[ 0.53749996 0.6072621 0.37366796 ... 0.59263796 -0.5887239 -0.5935466 ] [ 0.251317... [ 2019-11-25 12:33:12,782 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,782 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_54/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,782 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,782 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,783 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 160], value = [[[[ 0.53749996 0.6072621 0.37366796 ... 0.59263796 -0.5887239 -0.5935466 ] [ 0.251317... [ 2019-11-25 12:33:12,783 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,783 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[ 0.53749996 0.6072621 0.37366796 ... 0.59263796 -0.5887239 -0.5935466 ] [ 0.251317... [ 2019-11-25 12:33:12,783 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,783 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed5/concat/axis [ 2019-11-25 12:33:12,783 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,783 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,784 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,784 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:12,784 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,784 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/moving_variance [ 2019-11-25 12:33:12,784 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,784 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,784 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,785 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 564.48206 753.70984 1382.5428 5774.5923 280.21796 9562.72 1857.0355 1760.2999 2... [ 2019-11-25 12:33:12,785 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,785 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,785 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,786 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,787 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 564.48206 753.70984 1382.5428 5774.5923 280.21796 9562.72 1857.0355 1760.2999 2... [ 2019-11-25 12:33:12,787 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,788 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 564.48206 753.70984 1382.5428 5774.5923 280.21796 9562.72 1857.0355 1760.2999 2... [ 2019-11-25 12:33:12,789 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,789 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/moving_mean [ 2019-11-25 12:33:12,789 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,789 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,789 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,790 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.4213123e+01 -3.7573296e+01 8.6382389e-01 -3.5149418e+01 -8.6364040e+00 -3.3033371e+01 -8.61... [ 2019-11-25 12:33:12,790 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,790 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,790 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,790 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,792 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-2.4213123e+01 -3.7573296e+01 8.6382389e-01 -3.5149418e+01 -8.6364040e+00 -3.3033371e+01 -8.61... [ 2019-11-25 12:33:12,792 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,793 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-2.4213123e+01 -3.7573296e+01 8.6382389e-01 -3.5149418e+01 -8.6364040e+00 -3.3033371e+01 -8.61... [ 2019-11-25 12:33:12,793 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,793 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/beta [ 2019-11-25 12:33:12,793 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,793 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,794 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,795 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4971709 -1.5892398 -1.37987 -1.4144943 -1.9212567 -1.5092655 -1.4303839 -2.1550887 ... [ 2019-11-25 12:33:12,795 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,795 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/ReadVariableOp [ 2019-11-25 12:33:12,795 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,795 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,797 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.4971709 -1.5892398 -1.37987 -1.4144943 -1.9212567 -1.5092655 -1.4303839 -2.1550887 ... [ 2019-11-25 12:33:12,797 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,798 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.4971709 -1.5892398 -1.37987 -1.4144943 -1.9212567 -1.5092655 -1.4303839 -2.1550887 ... [ 2019-11-25 12:33:12,798 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,798 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/Const [ 2019-11-25 12:33:12,798 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,798 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,798 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,799 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,800 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,800 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/moving_variance [ 2019-11-25 12:33:12,800 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,800 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,800 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,801 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2652.4565 1037.2661 5152.742 1082.5015 790.59393 998.6765 6000.1196 5881.4346 ... [ 2019-11-25 12:33:12,801 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,801 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,801 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,802 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,803 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 2652.4565 1037.2661 5152.742 1082.5015 790.59393 998.6765 6000.1196 5881.4346 ... [ 2019-11-25 12:33:12,803 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,804 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2652.4565 1037.2661 5152.742 1082.5015 790.59393 998.6765 6000.1196 5881.4346 ... [ 2019-11-25 12:33:12,804 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,804 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/moving_mean [ 2019-11-25 12:33:12,805 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,805 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,805 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,806 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-74.258865 12.272068 -0.5505441 -11.82668 -39.622753 44.708935 -54.06713 -62.86131 ... [ 2019-11-25 12:33:12,806 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,806 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,806 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,806 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,808 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-74.258865 12.272068 -0.5505441 -11.82668 -39.622753 44.708935 -54.06713 -62.86131 ... [ 2019-11-25 12:33:12,808 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,809 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-74.258865 12.272068 -0.5505441 -11.82668 -39.622753 44.708935 -54.06713 -62.86131 ... [ 2019-11-25 12:33:12,809 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,809 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/beta [ 2019-11-25 12:33:12,809 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,809 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,809 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,811 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.24662775 -0.0462332 -3.4967763 -1.9503973 -1.6316553 0.00463993 -1.1664432 -1.7161916 ... [ 2019-11-25 12:33:12,811 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,811 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/ReadVariableOp [ 2019-11-25 12:33:12,811 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,811 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,813 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.24662775 -0.0462332 -3.4967763 -1.9503973 -1.6316553 0.00463993 -1.1664432 -1.7161916 ... [ 2019-11-25 12:33:12,813 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,814 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.24662775 -0.0462332 -3.4967763 -1.9503973 -1.6316553 0.00463993 -1.1664432 -1.7161916 ... [ 2019-11-25 12:33:12,814 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,814 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/Const [ 2019-11-25 12:33:12,814 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,814 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,814 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,816 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,816 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,816 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/moving_variance [ 2019-11-25 12:33:12,816 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,816 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,816 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,817 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 5922.405 11345.521 3990.3306 8084.094 4711.755 9011.284 4762.2026 1031.741 1... [ 2019-11-25 12:33:12,818 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,818 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,818 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,818 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,819 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 5922.405 11345.521 3990.3306 8084.094 4711.755 9011.284 4762.2026 1031.741 1... [ 2019-11-25 12:33:12,819 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,820 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 5922.405 11345.521 3990.3306 8084.094 4711.755 9011.284 4762.2026 1031.741 1... [ 2019-11-25 12:33:12,821 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,821 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/moving_mean [ 2019-11-25 12:33:12,821 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,821 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,821 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,822 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-8.94052505e+00 -2.66883354e+01 4.53157902e-01 6.35449982e+01 8.31304741e+00 3.57494402e+00... [ 2019-11-25 12:33:12,822 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,822 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,822 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,823 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,824 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-8.94052505e+00 -2.66883354e+01 4.53157902e-01 6.35449982e+01 8.31304741e+00 3.57494402e+00... [ 2019-11-25 12:33:12,824 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,825 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-8.94052505e+00 -2.66883354e+01 4.53157902e-01 6.35449982e+01 8.31304741e+00 3.57494402e+00... [ 2019-11-25 12:33:12,825 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,826 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/beta [ 2019-11-25 12:33:12,826 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,826 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,826 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,827 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.5471352 -0.31216237 -0.36123332 -0.48149866 -1.9621971 0.23437542 -0.90722394 -0.16468665... [ 2019-11-25 12:33:12,827 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,827 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/ReadVariableOp [ 2019-11-25 12:33:12,827 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,827 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,829 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.5471352 -0.31216237 -0.36123332 -0.48149866 -1.9621971 0.23437542 -0.90722394 -0.16468665... [ 2019-11-25 12:33:12,829 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,830 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.5471352 -0.31216237 -0.36123332 -0.48149866 -1.9621971 0.23437542 -0.90722394 -0.16468665... [ 2019-11-25 12:33:12,830 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,830 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/Const [ 2019-11-25 12:33:12,830 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,830 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,830 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,832 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,832 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,832 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/moving_variance [ 2019-11-25 12:33:12,832 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,832 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,832 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,833 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2936.616 2193.7441 8866.532 3203.4988 2245.579 721.52545 410.36786 569.9616 ... [ 2019-11-25 12:33:12,834 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,834 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,834 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,834 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,835 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 2936.616 2193.7441 8866.532 3203.4988 2245.579 721.52545 410.36786 569.9616 ... [ 2019-11-25 12:33:12,835 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,837 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2936.616 2193.7441 8866.532 3203.4988 2245.579 721.52545 410.36786 569.9616 ... [ 2019-11-25 12:33:12,837 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,837 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/moving_mean [ 2019-11-25 12:33:12,837 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,837 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,837 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,838 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-26.430586 -10.165688 36.21889 -29.513428 -48.21154 18.047636 -16.69382 -24.212404 ... [ 2019-11-25 12:33:12,838 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,838 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,838 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,839 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,840 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-26.430586 -10.165688 36.21889 -29.513428 -48.21154 18.047636 -16.69382 -24.212404 ... [ 2019-11-25 12:33:12,840 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,841 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-26.430586 -10.165688 36.21889 -29.513428 -48.21154 18.047636 -16.69382 -24.212404 ... [ 2019-11-25 12:33:12,841 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,841 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/beta [ 2019-11-25 12:33:12,842 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,842 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,842 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,843 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.0311352 -1.441836 -2.3362496 -1.3285468 -1.502465 -0.8455955 0.73810005 0.05137148 ... [ 2019-11-25 12:33:12,843 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,843 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/ReadVariableOp [ 2019-11-25 12:33:12,843 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,843 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,845 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-1.0311352 -1.441836 -2.3362496 -1.3285468 -1.502465 -0.8455955 0.73810005 0.05137148 ... [ 2019-11-25 12:33:12,845 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,846 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-1.0311352 -1.441836 -2.3362496 -1.3285468 -1.502465 -0.8455955 0.73810005 0.05137148 ... [ 2019-11-25 12:33:12,846 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,846 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/Const [ 2019-11-25 12:33:12,846 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,846 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,847 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,848 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,848 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,848 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_49/kernel [ 2019-11-25 12:33:12,848 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,848 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,848 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,849 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[ 0.6430247 0.5466477 0.6293325 ... -0.6598403 -0.60597837 -0.63336647] [-0.61875... [ 2019-11-25 12:33:12,849 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,849 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_49/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,849 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,849 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,850 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[ 0.6430247 0.5466477 0.6293325 ... -0.6598403 -0.60597837 -0.63336647] [-0.61875... [ 2019-11-25 12:33:12,850 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,850 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[ 0.6430247 0.5466477 0.6293325 ... -0.6598403 -0.60597837 -0.63336647] [-0.61875... [ 2019-11-25 12:33:12,850 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,850 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_48/kernel [ 2019-11-25 12:33:12,850 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,851 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,851 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,852 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 192], value = [[[[-0.756771 0.8652615 -0.67884433 ... 0.5683545 -0.5150685 -0.83295935] [ 0.335217... [ 2019-11-25 12:33:12,852 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,852 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_48/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,852 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,853 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,854 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 160 192], value = [[[[-0.756771 0.8652615 -0.67884433 ... 0.5683545 -0.5150685 -0.83295935] [ 0.335217... [ 2019-11-25 12:33:12,854 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,856 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 192], value = [[[[-0.756771 0.8652615 -0.67884433 ... 0.5683545 -0.5150685 -0.83295935] [ 0.335217... [ 2019-11-25 12:33:12,856 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,856 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_43/kernel [ 2019-11-25 12:33:12,856 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,856 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,856 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,858 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 192], value = [[[[-0.17321537 -0.8251381 -0.82767427 ... 0.6127249 -0.745224 -0.75097334] [-0.4479013... [ 2019-11-25 12:33:12,858 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,858 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_43/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,858 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,858 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,860 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 160 192], value = [[[[-0.17321537 -0.8251381 -0.82767427 ... 0.6127249 -0.745224 -0.75097334] [-0.4479013... [ 2019-11-25 12:33:12,860 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,862 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 192], value = [[[[-0.17321537 -0.8251381 -0.82767427 ... 0.6127249 -0.745224 -0.75097334] [-0.4479013... [ 2019-11-25 12:33:12,862 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,862 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_40/kernel [ 2019-11-25 12:33:12,862 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,862 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,862 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,863 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.6126823 0.58638066 0.5908532 ... 0.588355 0.5308095 -0.63042814] [-0.626838... [ 2019-11-25 12:33:12,863 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,863 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_40/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,863 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,863 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,864 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.6126823 0.58638066 0.5908532 ... 0.588355 0.5308095 -0.63042814] [-0.626838... [ 2019-11-25 12:33:12,864 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,865 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.6126823 0.58638066 0.5908532 ... 0.588355 0.5308095 -0.63042814] [-0.626838... [ 2019-11-25 12:33:12,865 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,865 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/moving_variance [ 2019-11-25 12:33:12,865 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,865 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,865 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,866 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 6789.823 3890.2224 3038.8591 920.8114 19697.518 20177.36 34992.152 15551.472 7... [ 2019-11-25 12:33:12,866 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,866 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,866 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,867 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,868 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 6789.823 3890.2224 3038.8591 920.8114 19697.518 20177.36 34992.152 15551.472 7... [ 2019-11-25 12:33:12,868 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,869 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 6789.823 3890.2224 3038.8591 920.8114 19697.518 20177.36 34992.152 15551.472 7... [ 2019-11-25 12:33:12,869 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,869 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/moving_mean [ 2019-11-25 12:33:12,869 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,869 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,869 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,870 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -40.73413 -56.038044 -51.832794 -33.5512 103.49678 67.81042 93.56515 ... [ 2019-11-25 12:33:12,871 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,871 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,871 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,871 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,872 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ -40.73413 -56.038044 -51.832794 -33.5512 103.49678 67.81042 93.56515 ... [ 2019-11-25 12:33:12,872 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,873 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -40.73413 -56.038044 -51.832794 -33.5512 103.49678 67.81042 93.56515 ... [ 2019-11-25 12:33:12,873 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,873 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/beta [ 2019-11-25 12:33:12,873 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,873 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,873 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,875 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.8739758 -1.0749089 -0.7365536 -0.27101177 -0.07018029 0.83985686 0.97724885 -0.12839086... [ 2019-11-25 12:33:12,875 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,875 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/ReadVariableOp [ 2019-11-25 12:33:12,875 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,875 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,876 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.8739758 -1.0749089 -0.7365536 -0.27101177 -0.07018029 0.83985686 0.97724885 -0.12839086... [ 2019-11-25 12:33:12,876 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,877 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.8739758 -1.0749089 -0.7365536 -0.27101177 -0.07018029 0.83985686 0.97724885 -0.12839086... [ 2019-11-25 12:33:12,878 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,878 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/Const [ 2019-11-25 12:33:12,878 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,878 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,878 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,879 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,879 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,879 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/moving_variance [ 2019-11-25 12:33:12,879 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,879 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,879 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,880 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 6821.1875 5537.2153 1139.1213 17747.984 512.7076 1484.3318 927.9666 636.4329 ... [ 2019-11-25 12:33:12,880 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,880 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,880 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,881 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,882 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 6821.1875 5537.2153 1139.1213 17747.984 512.7076 1484.3318 927.9666 636.4329 ... [ 2019-11-25 12:33:12,882 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,883 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 6821.1875 5537.2153 1139.1213 17747.984 512.7076 1484.3318 927.9666 636.4329 ... [ 2019-11-25 12:33:12,883 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,883 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/moving_mean [ 2019-11-25 12:33:12,883 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,883 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,883 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,884 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 43.500187 17.42585 31.776314 -60.626328 -33.078552 9.320338 32.112415 -18.38... [ 2019-11-25 12:33:12,885 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,885 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,885 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,885 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,886 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 43.500187 17.42585 31.776314 -60.626328 -33.078552 9.320338 32.112415 -18.38... [ 2019-11-25 12:33:12,886 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,887 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 43.500187 17.42585 31.776314 -60.626328 -33.078552 9.320338 32.112415 -18.38... [ 2019-11-25 12:33:12,887 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,887 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/beta [ 2019-11-25 12:33:12,887 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,888 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,888 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,889 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-0.02672889 -1.881052 -0.80096585 -1.2093928 0.8470623 -1.7933731 -1.691022 0.5234616 ... [ 2019-11-25 12:33:12,889 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,889 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/ReadVariableOp [ 2019-11-25 12:33:12,889 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,889 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,890 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-0.02672889 -1.881052 -0.80096585 -1.2093928 0.8470623 -1.7933731 -1.691022 0.5234616 ... [ 2019-11-25 12:33:12,890 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,891 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-0.02672889 -1.881052 -0.80096585 -1.2093928 0.8470623 -1.7933731 -1.691022 0.5234616 ... [ 2019-11-25 12:33:12,892 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,892 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/Const [ 2019-11-25 12:33:12,892 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,892 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,892 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,893 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,893 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,893 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_47/kernel [ 2019-11-25 12:33:12,893 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,893 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,893 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,895 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[ 0.51398504 -0.7584964 -0.59201473 ... -0.8362432 -0.6001539 0.4768015 ] [ 0.354146... [ 2019-11-25 12:33:12,895 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,895 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_47/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,895 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,895 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,897 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 160 160], value = [[[[ 0.51398504 -0.7584964 -0.59201473 ... -0.8362432 -0.6001539 0.4768015 ] [ 0.354146... [ 2019-11-25 12:33:12,897 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,899 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[ 0.51398504 -0.7584964 -0.59201473 ... -0.8362432 -0.6001539 0.4768015 ] [ 0.354146... [ 2019-11-25 12:33:12,899 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,899 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_42/kernel [ 2019-11-25 12:33:12,899 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,899 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,900 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,901 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[ 0.58530545 0.5761569 0.6181362 ... 0.6240633 0.61176866 -0.58943695] [-0.60438... [ 2019-11-25 12:33:12,901 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,901 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_42/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,901 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,902 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,903 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 160 160], value = [[[[ 0.58530545 0.5761569 0.6181362 ... 0.6240633 0.61176866 -0.58943695] [-0.60438... [ 2019-11-25 12:33:12,903 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,905 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[ 0.58530545 0.5761569 0.6181362 ... 0.6240633 0.61176866 -0.58943695] [-0.60438... [ 2019-11-25 12:33:12,905 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,905 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/moving_variance [ 2019-11-25 12:33:12,905 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,905 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,905 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,906 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1421.379 2469.9854 3885.6838 5941.1343 4834.8267 5131.2373 5025.616 2009.245 4689.6... [ 2019-11-25 12:33:12,907 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,907 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,907 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,907 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,908 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 1421.379 2469.9854 3885.6838 5941.1343 4834.8267 5131.2373 5025.616 2009.245 4689.6... [ 2019-11-25 12:33:12,908 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,909 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1421.379 2469.9854 3885.6838 5941.1343 4834.8267 5131.2373 5025.616 2009.245 4689.6... [ 2019-11-25 12:33:12,909 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,909 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/moving_mean [ 2019-11-25 12:33:12,909 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,910 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,910 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,911 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -19.089317 -12.244619 79.35689 -95.21355 -71.54881 -68.51347 75.07112 -45.4... [ 2019-11-25 12:33:12,911 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,911 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,911 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,911 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,912 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ -19.089317 -12.244619 79.35689 -95.21355 -71.54881 -68.51347 75.07112 -45.4... [ 2019-11-25 12:33:12,912 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,914 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -19.089317 -12.244619 79.35689 -95.21355 -71.54881 -68.51347 75.07112 -45.4... [ 2019-11-25 12:33:12,914 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,914 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/beta [ 2019-11-25 12:33:12,914 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,914 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,914 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,915 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.1967233 -1.3443127 -1.4740765 -1.2410607 -1.1034385 -1.4256877 0.00862795 -1.4860363 ... [ 2019-11-25 12:33:12,915 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,915 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/ReadVariableOp [ 2019-11-25 12:33:12,915 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,915 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,917 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.1967233 -1.3443127 -1.4740765 -1.2410607 -1.1034385 -1.4256877 0.00862795 -1.4860363 ... [ 2019-11-25 12:33:12,917 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,918 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.1967233 -1.3443127 -1.4740765 -1.2410607 -1.1034385 -1.4256877 0.00862795 -1.4860363 ... [ 2019-11-25 12:33:12,918 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,918 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/Const [ 2019-11-25 12:33:12,918 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,918 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,918 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,919 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,919 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,919 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/moving_variance [ 2019-11-25 12:33:12,919 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,920 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,920 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,921 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1621.7059 951.7951 358.4328 3002.756 7322.913 1327.2518 847.09534 238.42694 ... [ 2019-11-25 12:33:12,921 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,921 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,921 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,921 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,922 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 1621.7059 951.7951 358.4328 3002.756 7322.913 1327.2518 847.09534 238.42694 ... [ 2019-11-25 12:33:12,922 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,923 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 1621.7059 951.7951 358.4328 3002.756 7322.913 1327.2518 847.09534 238.42694 ... [ 2019-11-25 12:33:12,924 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,924 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/moving_mean [ 2019-11-25 12:33:12,924 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,924 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,924 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,925 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-6.2341261e+00 2.3568874e+01 -1.1809155e+01 -1.5615774e+01 -2.2203398e+01 -1.5207142e+00 -4.60... [ 2019-11-25 12:33:12,925 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,925 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,925 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,925 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,927 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-6.2341261e+00 2.3568874e+01 -1.1809155e+01 -1.5615774e+01 -2.2203398e+01 -1.5207142e+00 -4.60... [ 2019-11-25 12:33:12,927 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,928 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-6.2341261e+00 2.3568874e+01 -1.1809155e+01 -1.5615774e+01 -2.2203398e+01 -1.5207142e+00 -4.60... [ 2019-11-25 12:33:12,928 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,928 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/beta [ 2019-11-25 12:33:12,928 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,928 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,928 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,929 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.4536577 0.6743112 0.06639253 0.13108388 -0.41202575 -1.2689152 -0.44910645 -1.3525919 ... [ 2019-11-25 12:33:12,929 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,930 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/ReadVariableOp [ 2019-11-25 12:33:12,930 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,930 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,931 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.4536577 0.6743112 0.06639253 0.13108388 -0.41202575 -1.2689152 -0.44910645 -1.3525919 ... [ 2019-11-25 12:33:12,931 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,932 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.4536577 0.6743112 0.06639253 0.13108388 -0.41202575 -1.2689152 -0.44910645 -1.3525919 ... [ 2019-11-25 12:33:12,933 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,933 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/Const [ 2019-11-25 12:33:12,933 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,933 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,933 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,934 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,934 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,934 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_46/kernel [ 2019-11-25 12:33:12,934 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,934 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,934 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,936 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[-5.95216274e-01 9.23537493e-01 -5.60012041e-03 ... 1.01001009e-01 4.36953641e-03 -4.26... [ 2019-11-25 12:33:12,936 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,936 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_46/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,936 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,936 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,938 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 160 160], value = [[[[-5.95216274e-01 9.23537493e-01 -5.60012041e-03 ... 1.01001009e-01 4.36953641e-03 -4.26... [ 2019-11-25 12:33:12,938 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,940 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 160 160], value = [[[[-5.95216274e-01 9.23537493e-01 -5.60012041e-03 ... 1.01001009e-01 4.36953641e-03 -4.26... [ 2019-11-25 12:33:12,940 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,940 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_41/kernel [ 2019-11-25 12:33:12,940 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,940 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,940 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,941 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[ 0.59487283 -0.60537773 0.58882606 ... 0.614789 -0.55552614 -0.5769393 ] [-0.79010... [ 2019-11-25 12:33:12,941 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,941 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_41/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,941 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,941 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,941 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 160], value = [[[[ 0.59487283 -0.60537773 0.58882606 ... 0.614789 -0.55552614 -0.5769393 ] [-0.79010... [ 2019-11-25 12:33:12,942 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,942 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[ 0.59487283 -0.60537773 0.58882606 ... 0.614789 -0.55552614 -0.5769393 ] [-0.79010... [ 2019-11-25 12:33:12,942 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,942 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/moving_variance [ 2019-11-25 12:33:12,942 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,942 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,942 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,943 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 8162.5986 1600.7756 6357.273 31530.107 2978.3635 7067.8574 1265.5762 3244.759 ... [ 2019-11-25 12:33:12,944 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,944 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,944 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,944 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,945 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 8162.5986 1600.7756 6357.273 31530.107 2978.3635 7067.8574 1265.5762 3244.759 ... [ 2019-11-25 12:33:12,945 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,946 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 8162.5986 1600.7756 6357.273 31530.107 2978.3635 7067.8574 1265.5762 3244.759 ... [ 2019-11-25 12:33:12,946 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,946 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/moving_mean [ 2019-11-25 12:33:12,946 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,947 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,947 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,948 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -12.379234 -57.05923 -113.23526 189.91515 -30.206223 116.38114 -0.7209935 -2.... [ 2019-11-25 12:33:12,948 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,948 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,948 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,948 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,949 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ -12.379234 -57.05923 -113.23526 189.91515 -30.206223 116.38114 -0.7209935 -2.... [ 2019-11-25 12:33:12,949 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,950 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ -12.379234 -57.05923 -113.23526 189.91515 -30.206223 116.38114 -0.7209935 -2.... [ 2019-11-25 12:33:12,951 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,951 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/beta [ 2019-11-25 12:33:12,951 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,951 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,951 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,952 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 2.5234523 -0.98927784 -1.2850704 1.8713694 -1.2249159 0.39562714 -1.2881109 3.1635077 ... [ 2019-11-25 12:33:12,952 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,952 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/ReadVariableOp [ 2019-11-25 12:33:12,952 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,952 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,954 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 2.5234523 -0.98927784 -1.2850704 1.8713694 -1.2249159 0.39562714 -1.2881109 3.1635077 ... [ 2019-11-25 12:33:12,954 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,955 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 2.5234523 -0.98927784 -1.2850704 1.8713694 -1.2249159 0.39562714 -1.2881109 3.1635077 ... [ 2019-11-25 12:33:12,955 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,955 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/Const [ 2019-11-25 12:33:12,955 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,955 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,955 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,956 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,956 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,956 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_45/kernel [ 2019-11-25 12:33:12,956 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,957 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,957 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,958 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[-0.65881836 -0.26383024 -0.85947835 ... -0.74116886 -0.30297574 0.0648189 ] [-0.59655... [ 2019-11-25 12:33:12,958 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,958 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_45/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,959 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,959 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,960 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 160 160], value = [[[[-0.65881836 -0.26383024 -0.85947835 ... -0.74116886 -0.30297574 0.0648189 ] [-0.59655... [ 2019-11-25 12:33:12,960 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,962 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 160 160], value = [[[[-0.65881836 -0.26383024 -0.85947835 ... -0.74116886 -0.30297574 0.0648189 ] [-0.59655... [ 2019-11-25 12:33:12,962 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,962 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/moving_variance [ 2019-11-25 12:33:12,962 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,962 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,962 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,964 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 3954.622 6198.9956 1082.6229 4741.028 1034.5674 1329.1467 2081.5908 2939.7446 ... [ 2019-11-25 12:33:12,964 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,964 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,964 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,964 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,965 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [ 3954.622 6198.9956 1082.6229 4741.028 1034.5674 1329.1467 2081.5908 2939.7446 ... [ 2019-11-25 12:33:12,966 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,967 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [ 3954.622 6198.9956 1082.6229 4741.028 1034.5674 1329.1467 2081.5908 2939.7446 ... [ 2019-11-25 12:33:12,967 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,967 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/moving_mean [ 2019-11-25 12:33:12,967 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,967 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,967 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,968 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-14.491412 -50.16459 -20.905249 -31.90656 2.641495 -41.755787 -24.041174 -33.8016 ... [ 2019-11-25 12:33:12,968 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,968 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,968 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,969 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,970 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-14.491412 -50.16459 -20.905249 -31.90656 2.641495 -41.755787 -24.041174 -33.8016 ... [ 2019-11-25 12:33:12,970 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,971 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-14.491412 -50.16459 -20.905249 -31.90656 2.641495 -41.755787 -24.041174 -33.8016 ... [ 2019-11-25 12:33:12,971 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,971 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/beta [ 2019-11-25 12:33:12,971 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,971 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,971 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,972 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.2644387 -1.572265 -1.8861854 -0.40274033 -1.7848793 -0.4118869 1.8063086 1.6708198 ... [ 2019-11-25 12:33:12,972 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,973 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/ReadVariableOp [ 2019-11-25 12:33:12,973 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,973 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,974 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [160], value = [-1.2644387 -1.572265 -1.8861854 -0.40274033 -1.7848793 -0.4118869 1.8063086 1.6708198 ... [ 2019-11-25 12:33:12,974 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,975 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [-1.2644387 -1.572265 -1.8861854 -0.40274033 -1.7848793 -0.4118869 1.8063086 1.6708198 ... [ 2019-11-25 12:33:12,975 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,975 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/Const [ 2019-11-25 12:33:12,975 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,975 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,975 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,977 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,977 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,977 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_44/kernel [ 2019-11-25 12:33:12,977 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,977 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,977 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,977 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[ 0.58579475 0.6054346 0.57119375 ... -0.6094639 0.61403257 -0.5971657 ] [-0.32621... [ 2019-11-25 12:33:12,978 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,978 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_44/Conv2D/ReadVariableOp [ 2019-11-25 12:33:12,978 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,978 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,978 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 160], value = [[[[ 0.58579475 0.6054346 0.57119375 ... -0.6094639 0.61403257 -0.5971657 ] [-0.32621... [ 2019-11-25 12:33:12,978 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 160], value = [[[[ 0.58579475 0.6054346 0.57119375 ... -0.6094639 0.61403257 -0.5971657 ] [-0.32621... [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed4/concat/axis [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/moving_variance [ 2019-11-25 12:33:12,979 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,980 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,980 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,981 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [15911.572 583.1734 368.7295 2938.5078 3736.5872 516.3182 11749.533 2706.... [ 2019-11-25 12:33:12,981 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,981 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,981 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,981 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,983 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [15911.572 583.1734 368.7295 2938.5078 3736.5872 516.3182 11749.533 2706.... [ 2019-11-25 12:33:12,983 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,984 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [15911.572 583.1734 368.7295 2938.5078 3736.5872 516.3182 11749.533 2706.... [ 2019-11-25 12:33:12,984 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,984 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/moving_mean [ 2019-11-25 12:33:12,984 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,984 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,984 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,986 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2.07576256e+01 -9.96394539e+00 -3.09323845e+01 -2.80859432e+01 -2.76811905e+01 -1.20972118e+01... [ 2019-11-25 12:33:12,986 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,986 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:12,986 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,986 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,988 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 2.07576256e+01 -9.96394539e+00 -3.09323845e+01 -2.80859432e+01 -2.76811905e+01 -1.20972118e+01... [ 2019-11-25 12:33:12,988 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,989 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 2.07576256e+01 -9.96394539e+00 -3.09323845e+01 -2.80859432e+01 -2.76811905e+01 -1.20972118e+01... [ 2019-11-25 12:33:12,989 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,989 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/beta [ 2019-11-25 12:33:12,989 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,989 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,989 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,991 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.28178343 -0.752731 -1.4986193 -1.2693388 -1.1135523 -0.46316198 -2.4296148 -0.29453775... [ 2019-11-25 12:33:12,991 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,991 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/ReadVariableOp [ 2019-11-25 12:33:12,991 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,991 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,992 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 0.28178343 -0.752731 -1.4986193 -1.2693388 -1.1135523 -0.46316198 -2.4296148 -0.29453775... [ 2019-11-25 12:33:12,993 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,994 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.28178343 -0.752731 -1.4986193 -1.2693388 -1.1135523 -0.46316198 -2.4296148 -0.29453775... [ 2019-11-25 12:33:12,994 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,994 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/Const [ 2019-11-25 12:33:12,994 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,994 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,994 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,995 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:12,996 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,996 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/moving_variance [ 2019-11-25 12:33:12,996 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:12,996 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,996 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:12,997 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 8517.14 1143.0962 1408.6027 2463.6975 1555.9788 4928.7236 1141.812 679.63226 ... [ 2019-11-25 12:33:12,997 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:12,997 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:12,997 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:12,998 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:12,999 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 8517.14 1143.0962 1408.6027 2463.6975 1555.9788 4928.7236 1141.812 679.63226 ... [ 2019-11-25 12:33:12,999 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,001 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 8517.14 1143.0962 1408.6027 2463.6975 1555.9788 4928.7236 1141.812 679.63226 ... [ 2019-11-25 12:33:13,001 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,001 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/moving_mean [ 2019-11-25 12:33:13,001 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,001 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,001 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,002 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4.63596001e+01 -3.59797668e+01 -4.84735537e+00 1.46870680e+01 1.50190487e+01 -2.13226509e+01... [ 2019-11-25 12:33:13,002 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,002 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,002 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,003 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,004 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 4.63596001e+01 -3.59797668e+01 -4.84735537e+00 1.46870680e+01 1.50190487e+01 -2.13226509e+01... [ 2019-11-25 12:33:13,004 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,005 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4.63596001e+01 -3.59797668e+01 -4.84735537e+00 1.46870680e+01 1.50190487e+01 -2.13226509e+01... [ 2019-11-25 12:33:13,005 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,005 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/beta [ 2019-11-25 12:33:13,006 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,006 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,006 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,007 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.74929315 -0.1513179 1.1200838 0.7142025 -1.9150119 -0.02244617 -1.0674081 -1.0532092 ... [ 2019-11-25 12:33:13,007 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,007 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/ReadVariableOp [ 2019-11-25 12:33:13,007 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,007 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,009 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 0.74929315 -0.1513179 1.1200838 0.7142025 -1.9150119 -0.02244617 -1.0674081 -1.0532092 ... [ 2019-11-25 12:33:13,009 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,010 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 0.74929315 -0.1513179 1.1200838 0.7142025 -1.9150119 -0.02244617 -1.0674081 -1.0532092 ... [ 2019-11-25 12:33:13,010 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,011 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/Const [ 2019-11-25 12:33:13,011 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,011 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,011 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,012 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,012 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,012 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/moving_variance [ 2019-11-25 12:33:13,012 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,012 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,012 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,014 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 7774.8604 4366.1396 2619.7922 3098.6462 1014.1524 1745.6296 14983.749 16013.877 ... [ 2019-11-25 12:33:13,014 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,014 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,014 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,014 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,015 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 7774.8604 4366.1396 2619.7922 3098.6462 1014.1524 1745.6296 14983.749 16013.877 ... [ 2019-11-25 12:33:13,015 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,017 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 7774.8604 4366.1396 2619.7922 3098.6462 1014.1524 1745.6296 14983.749 16013.877 ... [ 2019-11-25 12:33:13,017 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,017 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/moving_mean [ 2019-11-25 12:33:13,017 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,017 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,017 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,019 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 53.310127 -44.040394 26.183508 35.407223 -31.154444 8.450661 -42.970913 57.30... [ 2019-11-25 12:33:13,019 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,019 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,019 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,019 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,020 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 53.310127 -44.040394 26.183508 35.407223 -31.154444 8.450661 -42.970913 57.30... [ 2019-11-25 12:33:13,021 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,022 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 53.310127 -44.040394 26.183508 35.407223 -31.154444 8.450661 -42.970913 57.30... [ 2019-11-25 12:33:13,022 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,022 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/beta [ 2019-11-25 12:33:13,022 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,022 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,022 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,024 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.7448008 -1.1275425 0.84746206 0.9682996 -1.1864927 -1.7823654 -1.1039397 1.1104132 ... [ 2019-11-25 12:33:13,024 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,024 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/ReadVariableOp [ 2019-11-25 12:33:13,024 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,024 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,025 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.7448008 -1.1275425 0.84746206 0.9682996 -1.1864927 -1.7823654 -1.1039397 1.1104132 ... [ 2019-11-25 12:33:13,026 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,027 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.7448008 -1.1275425 0.84746206 0.9682996 -1.1864927 -1.7823654 -1.1039397 1.1104132 ... [ 2019-11-25 12:33:13,027 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,027 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/Const [ 2019-11-25 12:33:13,027 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,027 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,027 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,028 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,029 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,029 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/moving_variance [ 2019-11-25 12:33:13,029 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,029 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,029 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,030 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4552.382 4653.334 3389.475 3267.844 323.39578 12794.078 537.48987 8377.766 ... [ 2019-11-25 12:33:13,030 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,031 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,031 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,031 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,032 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 4552.382 4653.334 3389.475 3267.844 323.39578 12794.078 537.48987 8377.766 ... [ 2019-11-25 12:33:13,032 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,034 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4552.382 4653.334 3389.475 3267.844 323.39578 12794.078 537.48987 8377.766 ... [ 2019-11-25 12:33:13,034 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,034 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/moving_mean [ 2019-11-25 12:33:13,034 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,034 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,034 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,035 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-47.954254 34.422592 12.324686 -25.10901 22.514336 -55.839176 1.6302239 23.37... [ 2019-11-25 12:33:13,035 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,035 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,036 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,036 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,037 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-47.954254 34.422592 12.324686 -25.10901 22.514336 -55.839176 1.6302239 23.37... [ 2019-11-25 12:33:13,037 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,038 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-47.954254 34.422592 12.324686 -25.10901 22.514336 -55.839176 1.6302239 23.37... [ 2019-11-25 12:33:13,039 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,039 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/beta [ 2019-11-25 12:33:13,039 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,039 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,039 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,040 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.73778373 -0.94154066 -1.2267786 0.36227632 -0.726533 -0.33825332 -0.74326557 -1.4161752 ... [ 2019-11-25 12:33:13,040 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,040 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/ReadVariableOp [ 2019-11-25 12:33:13,040 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,040 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,042 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [-0.73778373 -0.94154066 -1.2267786 0.36227632 -0.726533 -0.33825332 -0.74326557 -1.4161752 ... [ 2019-11-25 12:33:13,042 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,043 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [-0.73778373 -0.94154066 -1.2267786 0.36227632 -0.726533 -0.33825332 -0.74326557 -1.4161752 ... [ 2019-11-25 12:33:13,043 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,043 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/Const [ 2019-11-25 12:33:13,043 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,043 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,044 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,045 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,045 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,045 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_39/kernel [ 2019-11-25 12:33:13,045 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,045 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,045 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,046 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[ 0.7077894 -0.633629 -0.5998126 ... 0.26552686 0.37178475 -0.40291077] [ 0.44575... [ 2019-11-25 12:33:13,046 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,046 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_39/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,046 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,046 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,047 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[ 0.7077894 -0.633629 -0.5998126 ... 0.26552686 0.37178475 -0.40291077] [ 0.44575... [ 2019-11-25 12:33:13,047 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,047 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[ 0.7077894 -0.633629 -0.5998126 ... 0.26552686 0.37178475 -0.40291077] [ 0.44575... [ 2019-11-25 12:33:13,047 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,047 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_38/kernel [ 2019-11-25 12:33:13,047 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,047 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,048 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,049 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 128 192], value = [[[[ 0.67934656 -0.44608665 0.14754209 ... 0.7495517 -0.4444258 -0.8615887 ] [ 0.666169... [ 2019-11-25 12:33:13,049 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,050 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_38/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,050 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,050 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,051 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 128 192], value = [[[[ 0.67934656 -0.44608665 0.14754209 ... 0.7495517 -0.4444258 -0.8615887 ] [ 0.666169... [ 2019-11-25 12:33:13,051 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,053 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 128 192], value = [[[[ 0.67934656 -0.44608665 0.14754209 ... 0.7495517 -0.4444258 -0.8615887 ] [ 0.666169... [ 2019-11-25 12:33:13,053 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,053 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_33/kernel [ 2019-11-25 12:33:13,053 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,053 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,053 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,055 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 128 192], value = [[[[ 0.23352303 -0.7619531 0.97177196 ... -0.42006803 -0.9833712 -0.38137767] [ 0.278461... [ 2019-11-25 12:33:13,055 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,055 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_33/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,055 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,055 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,057 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 128 192], value = [[[[ 0.23352303 -0.7619531 0.97177196 ... -0.42006803 -0.9833712 -0.38137767] [ 0.278461... [ 2019-11-25 12:33:13,057 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,059 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 128 192], value = [[[[ 0.23352303 -0.7619531 0.97177196 ... -0.42006803 -0.9833712 -0.38137767] [ 0.278461... [ 2019-11-25 12:33:13,059 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,059 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_30/kernel [ 2019-11-25 12:33:13,059 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,059 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,059 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,060 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.59799606 -0.79349554 0.4314522 ... -0.5617071 0.01237036 0.5601812 ] [-0.53765... [ 2019-11-25 12:33:13,060 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,060 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_30/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,060 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,060 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 192], value = [[[[-0.59799606 -0.79349554 0.4314522 ... -0.5617071 0.01237036 0.5601812 ] [-0.53765... [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 192], value = [[[[-0.59799606 -0.79349554 0.4314522 ... -0.5617071 0.01237036 0.5601812 ] [-0.53765... [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/moving_variance [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,061 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,062 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 2514.0464 2732.8643 2438.41 2163.2695 4227.8213 3483.3333 9120.608 3293.65 ... [ 2019-11-25 12:33:13,063 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,063 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,063 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,063 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,064 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [ 2514.0464 2732.8643 2438.41 2163.2695 4227.8213 3483.3333 9120.608 3293.65 ... [ 2019-11-25 12:33:13,064 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,065 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 2514.0464 2732.8643 2438.41 2163.2695 4227.8213 3483.3333 9120.608 3293.65 ... [ 2019-11-25 12:33:13,065 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,065 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/moving_mean [ 2019-11-25 12:33:13,065 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,066 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,066 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,067 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-28.218988 61.30475 41.851616 3.4359972 47.520977 35.402256 -42.896633 57.854404 ... [ 2019-11-25 12:33:13,067 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,067 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,067 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,067 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,068 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-28.218988 61.30475 41.851616 3.4359972 47.520977 35.402256 -42.896633 57.854404 ... [ 2019-11-25 12:33:13,068 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,069 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-28.218988 61.30475 41.851616 3.4359972 47.520977 35.402256 -42.896633 57.854404 ... [ 2019-11-25 12:33:13,069 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,069 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/beta [ 2019-11-25 12:33:13,069 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,069 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,069 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,070 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.5389924 -0.10523825 -1.074302 1.3900307 -0.17214094 0.13906121 -0.5678229 1.79359 ... [ 2019-11-25 12:33:13,070 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,070 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/ReadVariableOp [ 2019-11-25 12:33:13,071 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,071 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,072 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-0.5389924 -0.10523825 -1.074302 1.3900307 -0.17214094 0.13906121 -0.5678229 1.79359 ... [ 2019-11-25 12:33:13,072 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,073 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.5389924 -0.10523825 -1.074302 1.3900307 -0.17214094 0.13906121 -0.5678229 1.79359 ... [ 2019-11-25 12:33:13,073 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,073 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/Const [ 2019-11-25 12:33:13,073 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,073 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,073 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,074 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,074 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,074 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/moving_variance [ 2019-11-25 12:33:13,074 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,074 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,074 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,075 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 3447.777 2822.2222 1754.8301 3998.8875 2768.5823 1785.8335 4167.086 3244.449 ... [ 2019-11-25 12:33:13,075 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,075 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,075 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,076 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,076 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [ 3447.777 2822.2222 1754.8301 3998.8875 2768.5823 1785.8335 4167.086 3244.449 ... [ 2019-11-25 12:33:13,077 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,078 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 3447.777 2822.2222 1754.8301 3998.8875 2768.5823 1785.8335 4167.086 3244.449 ... [ 2019-11-25 12:33:13,078 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,078 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/moving_mean [ 2019-11-25 12:33:13,078 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,078 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,078 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,079 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 10.075936 -0.38072336 17.551582 7.963424 7.7854586 10.145031 -54.86824 -21.0... [ 2019-11-25 12:33:13,079 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,079 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,079 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,079 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,080 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [ 10.075936 -0.38072336 17.551582 7.963424 7.7854586 10.145031 -54.86824 -21.0... [ 2019-11-25 12:33:13,080 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,082 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 10.075936 -0.38072336 17.551582 7.963424 7.7854586 10.145031 -54.86824 -21.0... [ 2019-11-25 12:33:13,082 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,082 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/beta [ 2019-11-25 12:33:13,082 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,082 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,082 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,083 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 0.57098264 -0.49987692 0.93140095 -0.3618273 -0.5244419 0.0477965 -0.7386249 0.34207055 ... [ 2019-11-25 12:33:13,083 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,084 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/ReadVariableOp [ 2019-11-25 12:33:13,084 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,084 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,085 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [ 0.57098264 -0.49987692 0.93140095 -0.3618273 -0.5244419 0.0477965 -0.7386249 0.34207055 ... [ 2019-11-25 12:33:13,085 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,086 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 0.57098264 -0.49987692 0.93140095 -0.3618273 -0.5244419 0.0477965 -0.7386249 0.34207055 ... [ 2019-11-25 12:33:13,086 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,086 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/Const [ 2019-11-25 12:33:13,086 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,086 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,086 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,087 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,087 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,087 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_37/kernel [ 2019-11-25 12:33:13,087 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,087 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,087 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,089 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 128 128], value = [[[[ 0.58937126 -0.5500856 -0.5899889 ... 0.6045414 0.5715333 0.6350592 ] [-0.110086... [ 2019-11-25 12:33:13,089 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,089 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_37/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,089 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,089 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,091 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 128 128], value = [[[[ 0.58937126 -0.5500856 -0.5899889 ... 0.6045414 0.5715333 0.6350592 ] [-0.110086... [ 2019-11-25 12:33:13,091 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,093 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 128 128], value = [[[[ 0.58937126 -0.5500856 -0.5899889 ... 0.6045414 0.5715333 0.6350592 ] [-0.110086... [ 2019-11-25 12:33:13,093 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,093 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_32/kernel [ 2019-11-25 12:33:13,093 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,093 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,093 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,095 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 128 128], value = [[[[-0.4261435 0.20294195 0.83446586 ... -0.6170138 -0.6221272 0.758601 ] [ 0.550661... [ 2019-11-25 12:33:13,095 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,095 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_32/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,095 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,095 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,097 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 128 128], value = [[[[-0.4261435 0.20294195 0.83446586 ... -0.6170138 -0.6221272 0.758601 ] [ 0.550661... [ 2019-11-25 12:33:13,097 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,099 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 128 128], value = [[[[-0.4261435 0.20294195 0.83446586 ... -0.6170138 -0.6221272 0.758601 ] [ 0.550661... [ 2019-11-25 12:33:13,099 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,099 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/moving_variance [ 2019-11-25 12:33:13,099 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,099 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,099 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,100 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 2702.4568 2450.155 4046.8408 6327.105 7991.335 1213.0837 15434.076 14314.727 7539.9... [ 2019-11-25 12:33:13,100 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,100 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,100 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,100 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,101 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [ 2702.4568 2450.155 4046.8408 6327.105 7991.335 1213.0837 15434.076 14314.727 7539.9... [ 2019-11-25 12:33:13,101 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,102 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 2702.4568 2450.155 4046.8408 6327.105 7991.335 1213.0837 15434.076 14314.727 7539.9... [ 2019-11-25 12:33:13,102 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,102 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/moving_mean [ 2019-11-25 12:33:13,102 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,103 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,103 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,104 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-38.472748 -17.880371 6.359934 -50.1428 -62.81251 -8.400574 56.70706 104.031... [ 2019-11-25 12:33:13,104 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,104 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,104 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,104 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,105 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-38.472748 -17.880371 6.359934 -50.1428 -62.81251 -8.400574 56.70706 104.031... [ 2019-11-25 12:33:13,105 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,106 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-38.472748 -17.880371 6.359934 -50.1428 -62.81251 -8.400574 56.70706 104.031... [ 2019-11-25 12:33:13,106 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,106 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/beta [ 2019-11-25 12:33:13,106 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,106 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,106 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,107 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-2.5533252 -0.5593211 0.49464455 1.1635635 -0.6365829 -0.32493412 1.066934 -1.355905 ... [ 2019-11-25 12:33:13,107 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,108 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/ReadVariableOp [ 2019-11-25 12:33:13,108 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,108 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,109 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-2.5533252 -0.5593211 0.49464455 1.1635635 -0.6365829 -0.32493412 1.066934 -1.355905 ... [ 2019-11-25 12:33:13,109 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,110 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-2.5533252 -0.5593211 0.49464455 1.1635635 -0.6365829 -0.32493412 1.066934 -1.355905 ... [ 2019-11-25 12:33:13,110 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,110 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/Const [ 2019-11-25 12:33:13,110 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,110 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,110 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,111 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,111 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,111 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/moving_variance [ 2019-11-25 12:33:13,111 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,111 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,111 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,112 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 9484.508 1506.1483 9131.631 4799.5796 2506.0374 1157.6233 5563.862 6734.0776 ... [ 2019-11-25 12:33:13,113 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,113 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,113 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,113 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,114 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [ 9484.508 1506.1483 9131.631 4799.5796 2506.0374 1157.6233 5563.862 6734.0776 ... [ 2019-11-25 12:33:13,114 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,115 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 9484.508 1506.1483 9131.631 4799.5796 2506.0374 1157.6233 5563.862 6734.0776 ... [ 2019-11-25 12:33:13,115 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,115 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/moving_mean [ 2019-11-25 12:33:13,115 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,116 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,116 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,117 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-2.15491924e+01 -2.38922710e+01 4.89999619e+01 3.39203262e+01 -2.46113796e+01 -9.22577477e+00... [ 2019-11-25 12:33:13,117 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,117 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,117 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,117 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,118 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-2.15491924e+01 -2.38922710e+01 4.89999619e+01 3.39203262e+01 -2.46113796e+01 -9.22577477e+00... [ 2019-11-25 12:33:13,118 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,119 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-2.15491924e+01 -2.38922710e+01 4.89999619e+01 3.39203262e+01 -2.46113796e+01 -9.22577477e+00... [ 2019-11-25 12:33:13,119 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,119 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/beta [ 2019-11-25 12:33:13,119 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,119 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,119 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,120 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.41092482 -0.49799168 0.02753182 0.84169644 -1.0146619 0.5436644 -0.2620661 0.42521343 ... [ 2019-11-25 12:33:13,120 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,120 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/ReadVariableOp [ 2019-11-25 12:33:13,120 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,121 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,122 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-0.41092482 -0.49799168 0.02753182 0.84169644 -1.0146619 0.5436644 -0.2620661 0.42521343 ... [ 2019-11-25 12:33:13,122 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,123 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.41092482 -0.49799168 0.02753182 0.84169644 -1.0146619 0.5436644 -0.2620661 0.42521343 ... [ 2019-11-25 12:33:13,123 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,123 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/Const [ 2019-11-25 12:33:13,123 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,123 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,123 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,124 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,124 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,124 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_36/kernel [ 2019-11-25 12:33:13,124 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,124 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,124 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,126 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 128 128], value = [[[[-0.58505964 0.63885486 -0.49847087 ... 0.1471462 0.8265725 -0.73326254] [-0.607785... [ 2019-11-25 12:33:13,126 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,126 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_36/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,126 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,126 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,128 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 7 128 128], value = [[[[-0.58505964 0.63885486 -0.49847087 ... 0.1471462 0.8265725 -0.73326254] [-0.607785... [ 2019-11-25 12:33:13,128 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,130 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 7 128 128], value = [[[[-0.58505964 0.63885486 -0.49847087 ... 0.1471462 0.8265725 -0.73326254] [-0.607785... [ 2019-11-25 12:33:13,130 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,130 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_31/kernel [ 2019-11-25 12:33:13,130 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,130 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,130 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,130 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 128], value = [[[[ 0.7032461 -0.62937605 -0.72822565 ... 0.6314931 -0.7609669 -0.5849461 ] [-0.432405... [ 2019-11-25 12:33:13,131 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,131 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_31/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,131 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,131 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,131 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 128], value = [[[[ 0.7032461 -0.62937605 -0.72822565 ... 0.6314931 -0.7609669 -0.5849461 ] [-0.432405... [ 2019-11-25 12:33:13,131 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,132 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 128], value = [[[[ 0.7032461 -0.62937605 -0.72822565 ... 0.6314931 -0.7609669 -0.5849461 ] [-0.432405... [ 2019-11-25 12:33:13,132 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,132 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/moving_variance [ 2019-11-25 12:33:13,132 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,132 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,132 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,133 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 5089.071 4713.1504 2406.586 1241.217 994.9954 9113.449 2857.0774 7970.5303 ... [ 2019-11-25 12:33:13,133 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,133 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,133 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,134 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,135 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [ 5089.071 4713.1504 2406.586 1241.217 994.9954 9113.449 2857.0774 7970.5303 ... [ 2019-11-25 12:33:13,135 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,136 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [ 5089.071 4713.1504 2406.586 1241.217 994.9954 9113.449 2857.0774 7970.5303 ... [ 2019-11-25 12:33:13,136 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,136 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/moving_mean [ 2019-11-25 12:33:13,136 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,136 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,136 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,137 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-37.838505 53.73119 -25.539385 -47.594986 -38.01698 70.41707 39.607815 -33.912... [ 2019-11-25 12:33:13,137 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,137 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,137 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,137 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,138 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-37.838505 53.73119 -25.539385 -47.594986 -38.01698 70.41707 39.607815 -33.912... [ 2019-11-25 12:33:13,138 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,139 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-37.838505 53.73119 -25.539385 -47.594986 -38.01698 70.41707 39.607815 -33.912... [ 2019-11-25 12:33:13,139 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,139 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/beta [ 2019-11-25 12:33:13,139 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,139 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,140 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,140 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.5080581 -1.342366 -0.09331884 -0.9369619 0.52955467 0.6002892 1.7352093 -0.6358551 ... [ 2019-11-25 12:33:13,141 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,141 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/ReadVariableOp [ 2019-11-25 12:33:13,141 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,141 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,142 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-0.5080581 -1.342366 -0.09331884 -0.9369619 0.52955467 0.6002892 1.7352093 -0.6358551 ... [ 2019-11-25 12:33:13,142 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,143 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.5080581 -1.342366 -0.09331884 -0.9369619 0.52955467 0.6002892 1.7352093 -0.6358551 ... [ 2019-11-25 12:33:13,143 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,143 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/Const [ 2019-11-25 12:33:13,143 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,143 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,143 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,144 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,144 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,144 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_35/kernel [ 2019-11-25 12:33:13,144 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,145 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,145 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,146 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 128 128], value = [[[[ 0.3782467 0.79867214 -0.7704509 ... 0.7667561 -0.6181492 -0.62151515] [-0.597520... [ 2019-11-25 12:33:13,147 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,147 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_35/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,147 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,147 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,149 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 7 1 128 128], value = [[[[ 0.3782467 0.79867214 -0.7704509 ... 0.7667561 -0.6181492 -0.62151515] [-0.597520... [ 2019-11-25 12:33:13,149 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,150 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 7 1 128 128], value = [[[[ 0.3782467 0.79867214 -0.7704509 ... 0.7667561 -0.6181492 -0.62151515] [-0.597520... [ 2019-11-25 12:33:13,151 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,151 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/moving_variance [ 2019-11-25 12:33:13,151 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,151 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,151 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,152 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [20865.879 8102.224 6407.5347 4706.0615 2661.3552 4437.5913 2310.127 4992.2026 ... [ 2019-11-25 12:33:13,152 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,152 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,152 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,152 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,153 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [20865.879 8102.224 6407.5347 4706.0615 2661.3552 4437.5913 2310.127 4992.2026 ... [ 2019-11-25 12:33:13,153 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,154 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [20865.879 8102.224 6407.5347 4706.0615 2661.3552 4437.5913 2310.127 4992.2026 ... [ 2019-11-25 12:33:13,154 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,154 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/moving_mean [ 2019-11-25 12:33:13,154 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,154 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,154 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,155 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-32.974487 -36.10156 54.623432 40.411774 -42.752247 -11.217355 30.2644 -10.680081 ... [ 2019-11-25 12:33:13,155 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,156 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,156 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,156 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,157 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-32.974487 -36.10156 54.623432 40.411774 -42.752247 -11.217355 30.2644 -10.680081 ... [ 2019-11-25 12:33:13,157 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,158 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-32.974487 -36.10156 54.623432 40.411774 -42.752247 -11.217355 30.2644 -10.680081 ... [ 2019-11-25 12:33:13,158 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,158 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/beta [ 2019-11-25 12:33:13,158 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,158 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,158 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,159 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.65258074 -1.2093081 -1.5931033 -1.1424458 -0.9653907 -1.2639166 -2.9753816 -1.334573 ... [ 2019-11-25 12:33:13,159 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,159 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/ReadVariableOp [ 2019-11-25 12:33:13,159 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,159 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,160 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [128], value = [-0.65258074 -1.2093081 -1.5931033 -1.1424458 -0.9653907 -1.2639166 -2.9753816 -1.334573 ... [ 2019-11-25 12:33:13,160 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,161 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [-0.65258074 -1.2093081 -1.5931033 -1.1424458 -0.9653907 -1.2639166 -2.9753816 -1.334573 ... [ 2019-11-25 12:33:13,162 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,162 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/Const [ 2019-11-25 12:33:13,162 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,162 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,162 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,163 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,163 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,163 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_34/kernel [ 2019-11-25 12:33:13,163 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,163 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,163 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,163 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 128], value = [[[[-0.41177282 -0.7940929 0.18531285 ... -0.60393125 -0.6148266 -0.643357 ] [-0.654697... [ 2019-11-25 12:33:13,164 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,164 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_34/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,164 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,164 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,164 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 768 128], value = [[[[-0.41177282 -0.7940929 0.18531285 ... -0.60393125 -0.6148266 -0.643357 ] [-0.654697... [ 2019-11-25 12:33:13,164 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 768 128], value = [[[[-0.41177282 -0.7940929 0.18531285 ... -0.60393125 -0.6148266 -0.643357 ] [-0.654697... [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed3/concat/axis [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,165 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/moving_variance [ 2019-11-25 12:33:13,166 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,166 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,166 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,167 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 3084.98 25850.986 1852.2484 1649.5864 10190.864 1006.42804 24728.285 9874.6... [ 2019-11-25 12:33:13,167 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,167 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,167 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,167 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,168 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 3084.98 25850.986 1852.2484 1649.5864 10190.864 1006.42804 24728.285 9874.6... [ 2019-11-25 12:33:13,168 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,168 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 3084.98 25850.986 1852.2484 1649.5864 10190.864 1006.42804 24728.285 9874.6... [ 2019-11-25 12:33:13,169 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,169 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/moving_mean [ 2019-11-25 12:33:13,169 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,169 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,169 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,170 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 7.6407466 -20.886019 11.274656 -3.1193976 14.139123 5.9553504 -20.51593 11.63... [ 2019-11-25 12:33:13,170 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,170 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,170 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,170 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,171 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 7.6407466 -20.886019 11.274656 -3.1193976 14.139123 5.9553504 -20.51593 11.63... [ 2019-11-25 12:33:13,171 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,172 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 7.6407466 -20.886019 11.274656 -3.1193976 14.139123 5.9553504 -20.51593 11.63... [ 2019-11-25 12:33:13,172 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,172 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/beta [ 2019-11-25 12:33:13,172 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,172 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,172 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,173 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 0.28413683 -0.4551027 -0.6766557 -0.7514123 0.522846 0.09334624 -0.9415031 0.95646596... [ 2019-11-25 12:33:13,173 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,173 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/ReadVariableOp [ 2019-11-25 12:33:13,173 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,173 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,174 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 0.28413683 -0.4551027 -0.6766557 -0.7514123 0.522846 0.09334624 -0.9415031 0.95646596... [ 2019-11-25 12:33:13,174 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,175 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 0.28413683 -0.4551027 -0.6766557 -0.7514123 0.522846 0.09334624 -0.9415031 0.95646596... [ 2019-11-25 12:33:13,175 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,175 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/Const [ 2019-11-25 12:33:13,175 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,175 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,175 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,176 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,176 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,176 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/moving_variance [ 2019-11-25 12:33:13,176 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,176 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,176 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,179 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 16338.448 26364.943 59959.285 23309.562 53586.3 69823.11 19973.375 20098.7... [ 2019-11-25 12:33:13,179 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,179 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,179 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,179 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,182 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 16338.448 26364.943 59959.285 23309.562 53586.3 69823.11 19973.375 20098.7... [ 2019-11-25 12:33:13,182 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,185 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 16338.448 26364.943 59959.285 23309.562 53586.3 69823.11 19973.375 20098.7... [ 2019-11-25 12:33:13,185 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,185 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/moving_mean [ 2019-11-25 12:33:13,185 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,185 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,185 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,187 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-2.96929283e+01 7.24166946e+01 1.02344276e+02 8.51333084e+01 3.00595741e+01 -1.17453461e+02... [ 2019-11-25 12:33:13,188 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,188 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,188 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,188 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,190 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [-2.96929283e+01 7.24166946e+01 1.02344276e+02 8.51333084e+01 3.00595741e+01 -1.17453461e+02... [ 2019-11-25 12:33:13,190 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,193 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [-2.96929283e+01 7.24166946e+01 1.02344276e+02 8.51333084e+01 3.00595741e+01 -1.17453461e+02... [ 2019-11-25 12:33:13,193 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,193 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/beta [ 2019-11-25 12:33:13,193 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,193 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,193 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,196 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 0.41637045 -1.1434784 -1.9090524 0.38780868 -0.82506055 -0.733622 -0.5544678 -0.40214884 -... [ 2019-11-25 12:33:13,196 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,196 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/ReadVariableOp [ 2019-11-25 12:33:13,196 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,196 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,199 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [384], value = [ 0.41637045 -1.1434784 -1.9090524 0.38780868 -0.82506055 -0.733622 -0.5544678 -0.40214884 -... [ 2019-11-25 12:33:13,199 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,201 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [ 0.41637045 -1.1434784 -1.9090524 0.38780868 -0.82506055 -0.733622 -0.5544678 -0.40214884 -... [ 2019-11-25 12:33:13,201 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,201 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/Const [ 2019-11-25 12:33:13,202 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,202 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,202 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,204 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,204 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,204 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_29/kernel [ 2019-11-25 12:33:13,204 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,204 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,204 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,207 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[ 0.66737676 -0.8010278 -0.04675942 ... -0.64172465 0.6791253 -0.60285795] [ 0.617767... [ 2019-11-25 12:33:13,207 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,207 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_29/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,207 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,207 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,210 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 96 96], value = [[[[ 0.66737676 -0.8010278 -0.04675942 ... -0.64172465 0.6791253 -0.60285795] [ 0.617767... [ 2019-11-25 12:33:13,210 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,212 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[ 0.66737676 -0.8010278 -0.04675942 ... -0.64172465 0.6791253 -0.60285795] [ 0.617767... [ 2019-11-25 12:33:13,212 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,212 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_26/kernel [ 2019-11-25 12:33:13,212 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,212 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,212 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,215 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 288 384], value = [[[[ 0.8034345 0.02148423 0.39234674 ... 0.4873656 -0.63293177 -0.6581193 ] [ 0.80867... [ 2019-11-25 12:33:13,215 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,215 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_26/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,215 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,216 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,218 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 288 384], value = [[[[ 0.8034345 0.02148423 0.39234674 ... 0.4873656 -0.63293177 -0.6581193 ] [ 0.80867... [ 2019-11-25 12:33:13,218 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,220 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 288 384], value = [[[[ 0.8034345 0.02148423 0.39234674 ... 0.4873656 -0.63293177 -0.6581193 ] [ 0.80867... [ 2019-11-25 12:33:13,220 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,220 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/moving_variance [ 2019-11-25 12:33:13,221 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,221 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,221 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,221 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [2037.3397 66.09549 181.01825 441.12674 299.17648 205.81044 146.4873 448.45172 ... [ 2019-11-25 12:33:13,222 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,222 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,222 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,222 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,223 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [2037.3397 66.09549 181.01825 441.12674 299.17648 205.81044 146.4873 448.45172 ... [ 2019-11-25 12:33:13,223 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,223 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [2037.3397 66.09549 181.01825 441.12674 299.17648 205.81044 146.4873 448.45172 ... [ 2019-11-25 12:33:13,223 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,224 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/moving_mean [ 2019-11-25 12:33:13,224 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,224 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,224 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,224 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-7.89361906e+00 8.64729023e+00 5.19848490e+00 -8.14152360e-01 -1.59902010e+01 1.57575140e+01... [ 2019-11-25 12:33:13,225 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,225 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,225 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,225 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,226 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-7.89361906e+00 8.64729023e+00 5.19848490e+00 -8.14152360e-01 -1.59902010e+01 1.57575140e+01... [ 2019-11-25 12:33:13,226 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,226 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-7.89361906e+00 8.64729023e+00 5.19848490e+00 -8.14152360e-01 -1.59902010e+01 1.57575140e+01... [ 2019-11-25 12:33:13,227 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,227 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/beta [ 2019-11-25 12:33:13,227 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,227 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,227 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,228 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-1.9636021 -1.5958306 -1.2857473 0.19834898 -1.6932489 -0.39801192 0.42850724 -0.24248096... [ 2019-11-25 12:33:13,228 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,228 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/ReadVariableOp [ 2019-11-25 12:33:13,228 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,228 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,229 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-1.9636021 -1.5958306 -1.2857473 0.19834898 -1.6932489 -0.39801192 0.42850724 -0.24248096... [ 2019-11-25 12:33:13,229 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,230 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-1.9636021 -1.5958306 -1.2857473 0.19834898 -1.6932489 -0.39801192 0.42850724 -0.24248096... [ 2019-11-25 12:33:13,230 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,230 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/Const [ 2019-11-25 12:33:13,230 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,230 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,230 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,231 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,231 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,231 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_28/kernel [ 2019-11-25 12:33:13,231 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,231 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,231 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,233 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[ 4.43652749e-01 6.37818873e-01 -5.91912627e-01 ... -6.91024542e-01 7.74418652e-01 2.10... [ 2019-11-25 12:33:13,234 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,234 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_28/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,234 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,234 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,236 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 64 96], value = [[[[ 4.43652749e-01 6.37818873e-01 -5.91912627e-01 ... -6.91024542e-01 7.74418652e-01 2.10... [ 2019-11-25 12:33:13,236 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,239 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[ 4.43652749e-01 6.37818873e-01 -5.91912627e-01 ... -6.91024542e-01 7.74418652e-01 2.10... [ 2019-11-25 12:33:13,239 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,239 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/moving_variance [ 2019-11-25 12:33:13,239 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,239 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,239 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,240 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [2996.627 2610.4343 1096.4264 353.20618 2032.2916 2114.6477 915.61774 1053.128 ... [ 2019-11-25 12:33:13,240 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,240 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,240 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,240 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,241 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [2996.627 2610.4343 1096.4264 353.20618 2032.2916 2114.6477 915.61774 1053.128 ... [ 2019-11-25 12:33:13,241 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,241 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [2996.627 2610.4343 1096.4264 353.20618 2032.2916 2114.6477 915.61774 1053.128 ... [ 2019-11-25 12:33:13,241 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,242 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/moving_mean [ 2019-11-25 12:33:13,242 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,242 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,242 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,242 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -4.729212 -14.333773 -8.842964 -6.8729744 -1.1121612 -8.522654 4.895328 -10.3... [ 2019-11-25 12:33:13,242 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,242 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,243 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,243 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,243 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ -4.729212 -14.333773 -8.842964 -6.8729744 -1.1121612 -8.522654 4.895328 -10.3... [ 2019-11-25 12:33:13,243 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,244 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -4.729212 -14.333773 -8.842964 -6.8729744 -1.1121612 -8.522654 4.895328 -10.3... [ 2019-11-25 12:33:13,244 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,244 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/beta [ 2019-11-25 12:33:13,244 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,244 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,244 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,245 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.9053838 -0.29773682 0.65249544 -0.10309726 -1.0250213 -0.9088673 -1.2103852 -2.4963458 ... [ 2019-11-25 12:33:13,245 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,245 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/ReadVariableOp [ 2019-11-25 12:33:13,245 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,245 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,246 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-0.9053838 -0.29773682 0.65249544 -0.10309726 -1.0250213 -0.9088673 -1.2103852 -2.4963458 ... [ 2019-11-25 12:33:13,246 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,246 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.9053838 -0.29773682 0.65249544 -0.10309726 -1.0250213 -0.9088673 -1.2103852 -2.4963458 ... [ 2019-11-25 12:33:13,247 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,247 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/Const [ 2019-11-25 12:33:13,247 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,247 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,247 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,247 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,248 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,248 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_27/kernel [ 2019-11-25 12:33:13,248 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,248 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,248 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,249 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[-0.56261545 -1.3677762 -0.73311245 ... 0.55267376 -0.3263828 -0.6291897 ] [-0.773404... [ 2019-11-25 12:33:13,249 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,249 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_27/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,249 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,249 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,249 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 288 64], value = [[[[-0.56261545 -1.3677762 -0.73311245 ... 0.55267376 -0.3263828 -0.6291897 ] [-0.773404... [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[-0.56261545 -1.3677762 -0.73311245 ... 0.55267376 -0.3263828 -0.6291897 ] [-0.773404... [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed2/concat/axis [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,250 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:13,251 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,251 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/moving_variance [ 2019-11-25 12:33:13,251 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,251 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,251 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,251 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 496.89203 377.52786 184.94695 445.28128 762.77704 773.861 460.37286 425.49792 7... [ 2019-11-25 12:33:13,252 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,252 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,252 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,252 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,252 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 496.89203 377.52786 184.94695 445.28128 762.77704 773.861 460.37286 425.49792 7... [ 2019-11-25 12:33:13,252 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,253 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 496.89203 377.52786 184.94695 445.28128 762.77704 773.861 460.37286 425.49792 7... [ 2019-11-25 12:33:13,253 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,253 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/moving_mean [ 2019-11-25 12:33:13,253 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,253 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,253 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,254 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -7.1288786 -3.0559127 7.807248 14.537425 19.366613 17.387634 13.70148 18.19699 ... [ 2019-11-25 12:33:13,254 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,254 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,254 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,254 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,255 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ -7.1288786 -3.0559127 7.807248 14.537425 19.366613 17.387634 13.70148 18.19699 ... [ 2019-11-25 12:33:13,255 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,256 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -7.1288786 -3.0559127 7.807248 14.537425 19.366613 17.387634 13.70148 18.19699 ... [ 2019-11-25 12:33:13,256 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,256 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/beta [ 2019-11-25 12:33:13,256 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,256 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,256 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,257 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.6558732 -2.057348 -0.9433568 -0.88675857 0.41794065 -0.79900736 -0.7442402 0.29232374... [ 2019-11-25 12:33:13,257 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,257 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/ReadVariableOp [ 2019-11-25 12:33:13,257 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,257 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,258 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-0.6558732 -2.057348 -0.9433568 -0.88675857 0.41794065 -0.79900736 -0.7442402 0.29232374... [ 2019-11-25 12:33:13,258 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,258 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.6558732 -2.057348 -0.9433568 -0.88675857 0.41794065 -0.79900736 -0.7442402 0.29232374... [ 2019-11-25 12:33:13,258 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,259 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/Const [ 2019-11-25 12:33:13,259 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,259 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,259 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,259 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,259 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,260 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/moving_variance [ 2019-11-25 12:33:13,260 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,260 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,260 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,261 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 4040.4387 1137.8462 2138.9958 2680.8867 3773.8613 1786.1353 9869.48 3565.8057 1708.9... [ 2019-11-25 12:33:13,261 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,261 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,261 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,261 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,262 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 4040.4387 1137.8462 2138.9958 2680.8867 3773.8613 1786.1353 9869.48 3565.8057 1708.9... [ 2019-11-25 12:33:13,262 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,263 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 4040.4387 1137.8462 2138.9958 2680.8867 3773.8613 1786.1353 9869.48 3565.8057 1708.9... [ 2019-11-25 12:33:13,263 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,263 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/moving_mean [ 2019-11-25 12:33:13,263 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,263 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,263 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,264 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-3.6688244e+01 4.2710695e+00 -1.5905877e+01 4.3335945e+01 2.0236631e+01 -4.8636589e+01 5.54... [ 2019-11-25 12:33:13,264 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,264 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,264 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,264 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,265 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-3.6688244e+01 4.2710695e+00 -1.5905877e+01 4.3335945e+01 2.0236631e+01 -4.8636589e+01 5.54... [ 2019-11-25 12:33:13,265 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,266 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-3.6688244e+01 4.2710695e+00 -1.5905877e+01 4.3335945e+01 2.0236631e+01 -4.8636589e+01 5.54... [ 2019-11-25 12:33:13,266 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,266 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/beta [ 2019-11-25 12:33:13,266 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,266 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,266 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,267 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 1.9978951 -0.8316945 0.49553937 -1.8981442 1.0820673 -0.93847775 0.29133153 -0.57559514... [ 2019-11-25 12:33:13,267 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,267 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/ReadVariableOp [ 2019-11-25 12:33:13,267 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,267 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,268 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 1.9978951 -0.8316945 0.49553937 -1.8981442 1.0820673 -0.93847775 0.29133153 -0.57559514... [ 2019-11-25 12:33:13,268 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,269 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 1.9978951 -0.8316945 0.49553937 -1.8981442 1.0820673 -0.93847775 0.29133153 -0.57559514... [ 2019-11-25 12:33:13,269 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,269 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/Const [ 2019-11-25 12:33:13,269 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,269 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,269 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,270 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,270 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,270 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/moving_variance [ 2019-11-25 12:33:13,270 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,270 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,270 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,271 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [12799.86 3696.3228 1507.4463 31810.186 10225.128 23674.176 10395.207 4636.1997 1... [ 2019-11-25 12:33:13,271 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,271 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,271 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,271 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,272 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [12799.86 3696.3228 1507.4463 31810.186 10225.128 23674.176 10395.207 4636.1997 1... [ 2019-11-25 12:33:13,272 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,273 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [12799.86 3696.3228 1507.4463 31810.186 10225.128 23674.176 10395.207 4636.1997 1... [ 2019-11-25 12:33:13,273 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,273 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/moving_mean [ 2019-11-25 12:33:13,273 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,273 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,273 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,274 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 3.45026054e+01 -3.54518700e+01 -3.54324570e+01 7.39261322e+01 -3.28054504e+01 6.29862118e+00... [ 2019-11-25 12:33:13,274 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,274 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,274 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,274 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,275 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 3.45026054e+01 -3.54518700e+01 -3.54324570e+01 7.39261322e+01 -3.28054504e+01 6.29862118e+00... [ 2019-11-25 12:33:13,275 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,275 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 3.45026054e+01 -3.54518700e+01 -3.54324570e+01 7.39261322e+01 -3.28054504e+01 6.29862118e+00... [ 2019-11-25 12:33:13,275 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,275 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/beta [ 2019-11-25 12:33:13,275 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,275 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,276 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,276 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.77564776 0.6675035 -1.0281942 0.28547308 -0.43428594 0.49714348 -0.74383914 -0.39462537... [ 2019-11-25 12:33:13,276 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,276 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/ReadVariableOp [ 2019-11-25 12:33:13,276 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,277 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,277 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-0.77564776 0.6675035 -1.0281942 0.28547308 -0.43428594 0.49714348 -0.74383914 -0.39462537... [ 2019-11-25 12:33:13,277 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,278 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.77564776 0.6675035 -1.0281942 0.28547308 -0.43428594 0.49714348 -0.74383914 -0.39462537... [ 2019-11-25 12:33:13,278 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,278 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/Const [ 2019-11-25 12:33:13,278 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,278 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,278 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,279 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,279 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,279 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/moving_variance [ 2019-11-25 12:33:13,279 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,279 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,279 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,280 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 370.97308 564.89557 501.87024 943.39734 595.462 330.75778 700.28986 691.23517 ... [ 2019-11-25 12:33:13,280 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,280 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,280 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,280 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,281 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 370.97308 564.89557 501.87024 943.39734 595.462 330.75778 700.28986 691.23517 ... [ 2019-11-25 12:33:13,281 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,282 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 370.97308 564.89557 501.87024 943.39734 595.462 330.75778 700.28986 691.23517 ... [ 2019-11-25 12:33:13,282 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,282 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/moving_mean [ 2019-11-25 12:33:13,282 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,282 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,282 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,283 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -4.6015716 16.763855 24.123827 -10.925089 9.825511 -12.0334835 9.9617405 1.91... [ 2019-11-25 12:33:13,283 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,283 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,283 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,283 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,284 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ -4.6015716 16.763855 24.123827 -10.925089 9.825511 -12.0334835 9.9617405 1.91... [ 2019-11-25 12:33:13,284 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,284 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -4.6015716 16.763855 24.123827 -10.925089 9.825511 -12.0334835 9.9617405 1.91... [ 2019-11-25 12:33:13,284 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,284 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/beta [ 2019-11-25 12:33:13,284 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,285 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,285 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,285 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.47195008 -1.2501208 0.41534722 0.98279893 -1.014574 -0.6099732 0.56692946 0.71787506 ... [ 2019-11-25 12:33:13,285 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,285 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/ReadVariableOp [ 2019-11-25 12:33:13,285 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,286 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,286 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 0.47195008 -1.2501208 0.41534722 0.98279893 -1.014574 -0.6099732 0.56692946 0.71787506 ... [ 2019-11-25 12:33:13,286 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,287 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.47195008 -1.2501208 0.41534722 0.98279893 -1.014574 -0.6099732 0.56692946 0.71787506 ... [ 2019-11-25 12:33:13,287 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,287 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/Const [ 2019-11-25 12:33:13,287 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,287 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,287 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,288 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,288 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,288 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_25/kernel [ 2019-11-25 12:33:13,288 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,288 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,288 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,289 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[-0.79769135 -0.59953547 -0.6592111 ... 0.5597595 0.26111674 -0.50126666] [-0.52768... [ 2019-11-25 12:33:13,289 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,289 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_25/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,289 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,289 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,289 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 288 64], value = [[[[-0.79769135 -0.59953547 -0.6592111 ... 0.5597595 0.26111674 -0.50126666] [-0.52768... [ 2019-11-25 12:33:13,290 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,290 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[-0.79769135 -0.59953547 -0.6592111 ... 0.5597595 0.26111674 -0.50126666] [-0.52768... [ 2019-11-25 12:33:13,290 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,290 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_24/kernel [ 2019-11-25 12:33:13,290 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,290 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,290 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,293 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[-0.64733136 0.41582724 -0.5730415 ... -0.29553315 -0.5923656 -0.6011744 ] [ 0.571733... [ 2019-11-25 12:33:13,293 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,293 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_24/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,293 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,293 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,295 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 96 96], value = [[[[-0.64733136 0.41582724 -0.5730415 ... -0.29553315 -0.5923656 -0.6011744 ] [ 0.571733... [ 2019-11-25 12:33:13,295 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,298 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[-0.64733136 0.41582724 -0.5730415 ... -0.29553315 -0.5923656 -0.6011744 ] [ 0.571733... [ 2019-11-25 12:33:13,298 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,298 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_21/kernel [ 2019-11-25 12:33:13,298 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,298 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,298 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,305 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 5 5 48 64], value = [[[[-0.8719022 0.66552335 0.3506619 ... 0.74243927 -0.3544606 0.49181068] [ 0.698689... [ 2019-11-25 12:33:13,305 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,305 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_21/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,305 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,305 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,311 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 5 5 48 64], value = [[[[-0.8719022 0.66552335 0.3506619 ... 0.74243927 -0.3544606 0.49181068] [ 0.698689... [ 2019-11-25 12:33:13,311 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,318 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 5 5 48 64], value = [[[[-0.8719022 0.66552335 0.3506619 ... 0.74243927 -0.3544606 0.49181068] [ 0.698689... [ 2019-11-25 12:33:13,318 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,318 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_19/kernel [ 2019-11-25 12:33:13,318 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,318 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,318 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,319 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[ 0.33438078 0.78538144 0.0469807 ... -0.8317005 0.8029539 -0.73126376] [-0.619549... [ 2019-11-25 12:33:13,319 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,319 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_19/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,319 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,319 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,319 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 288 64], value = [[[[ 0.33438078 0.78538144 0.0469807 ... -0.8317005 0.8029539 -0.73126376] [-0.619549... [ 2019-11-25 12:33:13,320 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,320 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[ 0.33438078 0.78538144 0.0469807 ... -0.8317005 0.8029539 -0.73126376] [-0.619549... [ 2019-11-25 12:33:13,320 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,320 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/moving_variance [ 2019-11-25 12:33:13,320 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,320 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,320 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,321 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 736.46814 1222.675 911.6447 4197.455 487.8975 1876.4471 1637.4185 2129.5962 ... [ 2019-11-25 12:33:13,321 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,321 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,321 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,322 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,322 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 736.46814 1222.675 911.6447 4197.455 487.8975 1876.4471 1637.4185 2129.5962 ... [ 2019-11-25 12:33:13,322 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,323 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 736.46814 1222.675 911.6447 4197.455 487.8975 1876.4471 1637.4185 2129.5962 ... [ 2019-11-25 12:33:13,323 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,323 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/moving_mean [ 2019-11-25 12:33:13,323 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,323 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,324 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,324 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-57.206036 23.570944 30.058207 35.193104 -36.803043 -29.391706 -0.50356823 -12.41... [ 2019-11-25 12:33:13,324 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,324 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,325 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,325 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,325 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-57.206036 23.570944 30.058207 35.193104 -36.803043 -29.391706 -0.50356823 -12.41... [ 2019-11-25 12:33:13,326 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,326 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-57.206036 23.570944 30.058207 35.193104 -36.803043 -29.391706 -0.50356823 -12.41... [ 2019-11-25 12:33:13,326 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,326 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/beta [ 2019-11-25 12:33:13,327 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,327 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,327 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,328 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-0.5751256 1.0584604 -1.0747877 -1.3354138 -0.69111264 0.55651873 -0.59095 -0.36037543... [ 2019-11-25 12:33:13,328 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,328 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/ReadVariableOp [ 2019-11-25 12:33:13,328 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,328 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,329 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-0.5751256 1.0584604 -1.0747877 -1.3354138 -0.69111264 0.55651873 -0.59095 -0.36037543... [ 2019-11-25 12:33:13,329 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,330 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-0.5751256 1.0584604 -1.0747877 -1.3354138 -0.69111264 0.55651873 -0.59095 -0.36037543... [ 2019-11-25 12:33:13,330 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,330 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/Const [ 2019-11-25 12:33:13,330 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,330 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,330 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,331 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,331 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,331 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/moving_variance [ 2019-11-25 12:33:13,331 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,331 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,331 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,332 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 241.32558 95.30603 367.13528 237.26941 984.7898 160.4352 194.82892 58.835438 ... [ 2019-11-25 12:33:13,332 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,332 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,332 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,332 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,333 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ 241.32558 95.30603 367.13528 237.26941 984.7898 160.4352 194.82892 58.835438 ... [ 2019-11-25 12:33:13,333 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,334 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 241.32558 95.30603 367.13528 237.26941 984.7898 160.4352 194.82892 58.835438 ... [ 2019-11-25 12:33:13,334 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,334 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/moving_mean [ 2019-11-25 12:33:13,334 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,334 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,334 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,334 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ -1.0427321 11.222689 7.3873053 5.9484315 -8.95492 5.4835773 13.570514 8.094... [ 2019-11-25 12:33:13,335 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,335 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,335 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,335 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,335 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ -1.0427321 11.222689 7.3873053 5.9484315 -8.95492 5.4835773 13.570514 8.094... [ 2019-11-25 12:33:13,335 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,336 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ -1.0427321 11.222689 7.3873053 5.9484315 -8.95492 5.4835773 13.570514 8.094... [ 2019-11-25 12:33:13,336 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,336 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/beta [ 2019-11-25 12:33:13,336 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,336 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,336 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,337 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 1.346318 -0.05053459 0.5631663 -0.9198474 2.1687822 -0.9957642 0.30413464 -1.204365 ... [ 2019-11-25 12:33:13,337 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,337 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/ReadVariableOp [ 2019-11-25 12:33:13,337 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,337 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,338 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ 1.346318 -0.05053459 0.5631663 -0.9198474 2.1687822 -0.9957642 0.30413464 -1.204365 ... [ 2019-11-25 12:33:13,338 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,338 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 1.346318 -0.05053459 0.5631663 -0.9198474 2.1687822 -0.9957642 0.30413464 -1.204365 ... [ 2019-11-25 12:33:13,338 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/Const [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_23/kernel [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,339 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,340 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,342 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[-0.2773266 0.7641494 -0.28931978 ... -0.80374056 0.44699344 0.83088386] [ 0.61520... [ 2019-11-25 12:33:13,343 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,343 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_23/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,343 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,343 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,345 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 64 96], value = [[[[-0.2773266 0.7641494 -0.28931978 ... -0.80374056 0.44699344 0.83088386] [ 0.61520... [ 2019-11-25 12:33:13,345 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[-0.2773266 0.7641494 -0.28931978 ... -0.80374056 0.44699344 0.83088386] [ 0.61520... [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_20/kernel [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 48], value = [[[[ 1.0480148 0.1798751 1.0130411 ... -0.71979487 0.5942833 -0.13877758] [-0.203004... [ 2019-11-25 12:33:13,348 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,349 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_20/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,349 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,349 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,349 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 288 48], value = [[[[ 1.0480148 0.1798751 1.0130411 ... -0.71979487 0.5942833 -0.13877758] [-0.203004... [ 2019-11-25 12:33:13,349 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,350 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 48], value = [[[[ 1.0480148 0.1798751 1.0130411 ... -0.71979487 0.5942833 -0.13877758] [-0.203004... [ 2019-11-25 12:33:13,350 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,350 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/moving_variance [ 2019-11-25 12:33:13,350 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,350 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,350 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,351 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 261.5355 620.1829 841.333 1602.033 181.13846 107.04491 592.7492 388.97614 ... [ 2019-11-25 12:33:13,351 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,351 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,351 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,351 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,352 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 261.5355 620.1829 841.333 1602.033 181.13846 107.04491 592.7492 388.97614 ... [ 2019-11-25 12:33:13,352 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,352 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 261.5355 620.1829 841.333 1602.033 181.13846 107.04491 592.7492 388.97614 ... [ 2019-11-25 12:33:13,352 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,353 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/moving_mean [ 2019-11-25 12:33:13,353 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,353 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,353 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,353 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 6.8510284 -1.7825902 23.604218 -13.56182 -10.540905 -8.03512 20.016417 17.28... [ 2019-11-25 12:33:13,353 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,353 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,354 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,354 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,354 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 6.8510284 -1.7825902 23.604218 -13.56182 -10.540905 -8.03512 20.016417 17.28... [ 2019-11-25 12:33:13,354 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,355 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 6.8510284 -1.7825902 23.604218 -13.56182 -10.540905 -8.03512 20.016417 17.28... [ 2019-11-25 12:33:13,355 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,355 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/beta [ 2019-11-25 12:33:13,355 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,355 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,355 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,356 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.9792622 -0.7552135 0.72099704 1.2913756 0.43323603 -0.29082167 -1.4003775 -2.006273 ... [ 2019-11-25 12:33:13,356 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,356 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/ReadVariableOp [ 2019-11-25 12:33:13,356 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,356 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,357 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 0.9792622 -0.7552135 0.72099704 1.2913756 0.43323603 -0.29082167 -1.4003775 -2.006273 ... [ 2019-11-25 12:33:13,357 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,357 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.9792622 -0.7552135 0.72099704 1.2913756 0.43323603 -0.29082167 -1.4003775 -2.006273 ... [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/Const [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,358 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_22/kernel [ 2019-11-25 12:33:13,359 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,359 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,359 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,359 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[ 0.8260735 0.6963145 0.5990457 ... 0.41185728 0.24602295 0.40772516] [ 0.49160... [ 2019-11-25 12:33:13,359 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,359 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_22/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,359 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,360 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,360 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 288 64], value = [[[[ 0.8260735 0.6963145 0.5990457 ... 0.41185728 0.24602295 0.40772516] [ 0.49160... [ 2019-11-25 12:33:13,360 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 288 64], value = [[[[ 0.8260735 0.6963145 0.5990457 ... 0.41185728 0.24602295 0.40772516] [ 0.49160... [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed1/concat/axis [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/moving_variance [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,361 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,362 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 242.5561 627.9861 941.8997 222.93379 659.6561 101.651505 2187.646 328.09094 ... [ 2019-11-25 12:33:13,362 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,362 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,362 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,363 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,363 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 242.5561 627.9861 941.8997 222.93379 659.6561 101.651505 2187.646 328.09094 ... [ 2019-11-25 12:33:13,363 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,364 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 242.5561 627.9861 941.8997 222.93379 659.6561 101.651505 2187.646 328.09094 ... [ 2019-11-25 12:33:13,364 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,364 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/moving_mean [ 2019-11-25 12:33:13,364 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,364 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,364 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,365 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 14.049114 -29.668428 -6.934533 13.379009 -33.569736 -14.473883 -23.25475 -2.00... [ 2019-11-25 12:33:13,365 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,365 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,365 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,365 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,366 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 14.049114 -29.668428 -6.934533 13.379009 -33.569736 -14.473883 -23.25475 -2.00... [ 2019-11-25 12:33:13,366 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,367 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 14.049114 -29.668428 -6.934533 13.379009 -33.569736 -14.473883 -23.25475 -2.00... [ 2019-11-25 12:33:13,367 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,367 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/beta [ 2019-11-25 12:33:13,367 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,367 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,367 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,368 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.41433558 -1.2231843 -2.0639977 -0.5541031 -1.4168983 -1.814905 -0.14739159 -1.1716284 -... [ 2019-11-25 12:33:13,368 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,368 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/ReadVariableOp [ 2019-11-25 12:33:13,368 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,368 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,369 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 0.41433558 -1.2231843 -2.0639977 -0.5541031 -1.4168983 -1.814905 -0.14739159 -1.1716284 -... [ 2019-11-25 12:33:13,369 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,369 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.41433558 -1.2231843 -2.0639977 -0.5541031 -1.4168983 -1.814905 -0.14739159 -1.1716284 -... [ 2019-11-25 12:33:13,369 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,369 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/Const [ 2019-11-25 12:33:13,369 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/moving_variance [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,370 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,371 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 2655.9534 1598.0029 5122.82 4601.81 2670.9849 1537.2247 4633.969 12625.459 ... [ 2019-11-25 12:33:13,371 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,371 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,371 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,372 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,372 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 2655.9534 1598.0029 5122.82 4601.81 2670.9849 1537.2247 4633.969 12625.459 ... [ 2019-11-25 12:33:13,372 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,373 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 2655.9534 1598.0029 5122.82 4601.81 2670.9849 1537.2247 4633.969 12625.459 ... [ 2019-11-25 12:33:13,373 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,373 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/moving_mean [ 2019-11-25 12:33:13,373 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,374 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,374 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,374 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-27.519648 6.233433 45.555195 -45.641586 9.190733 20.457394 41.288925 -60.51613 ... [ 2019-11-25 12:33:13,374 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,374 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,375 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,375 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,375 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-27.519648 6.233433 45.555195 -45.641586 9.190733 20.457394 41.288925 -60.51613 ... [ 2019-11-25 12:33:13,375 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,376 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-27.519648 6.233433 45.555195 -45.641586 9.190733 20.457394 41.288925 -60.51613 ... [ 2019-11-25 12:33:13,376 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,376 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/beta [ 2019-11-25 12:33:13,376 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,377 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,377 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,377 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 0.7081871 -1.7120211 -1.8217475 -0.42640644 -0.73345655 -1.1881182 0.3654667 -1.3468971 ... [ 2019-11-25 12:33:13,378 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,378 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/ReadVariableOp [ 2019-11-25 12:33:13,378 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,378 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,379 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 0.7081871 -1.7120211 -1.8217475 -0.42640644 -0.73345655 -1.1881182 0.3654667 -1.3468971 ... [ 2019-11-25 12:33:13,379 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,380 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 0.7081871 -1.7120211 -1.8217475 -0.42640644 -0.73345655 -1.1881182 0.3654667 -1.3468971 ... [ 2019-11-25 12:33:13,380 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,380 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/Const [ 2019-11-25 12:33:13,380 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,380 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,380 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,381 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,381 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,381 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/moving_variance [ 2019-11-25 12:33:13,381 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,381 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,381 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,382 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 2792.9504 6610.9214 1729.8295 6169.7397 1526.4858 9264.95 10820.32 10053.102 7... [ 2019-11-25 12:33:13,382 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,382 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,382 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,382 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,382 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 2792.9504 6610.9214 1729.8295 6169.7397 1526.4858 9264.95 10820.32 10053.102 7... [ 2019-11-25 12:33:13,383 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,383 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 2792.9504 6610.9214 1729.8295 6169.7397 1526.4858 9264.95 10820.32 10053.102 7... [ 2019-11-25 12:33:13,383 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,383 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/moving_mean [ 2019-11-25 12:33:13,383 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,383 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,383 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,384 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 30.75026 30.825731 -89.963486 -23.039658 -71.05674 -14.230504 -26.732616 -25.8... [ 2019-11-25 12:33:13,384 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,384 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,384 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,384 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,385 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 30.75026 30.825731 -89.963486 -23.039658 -71.05674 -14.230504 -26.732616 -25.8... [ 2019-11-25 12:33:13,385 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,386 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 30.75026 30.825731 -89.963486 -23.039658 -71.05674 -14.230504 -26.732616 -25.8... [ 2019-11-25 12:33:13,386 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,386 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/beta [ 2019-11-25 12:33:13,386 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,386 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,386 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,387 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.30006894 0.10045124 -1.5877833 -0.31473798 -0.7558105 -1.1639134 -0.63017905 -1.1473566 ... [ 2019-11-25 12:33:13,387 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,387 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/ReadVariableOp [ 2019-11-25 12:33:13,387 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,387 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,388 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-0.30006894 0.10045124 -1.5877833 -0.31473798 -0.7558105 -1.1639134 -0.63017905 -1.1473566 ... [ 2019-11-25 12:33:13,388 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,388 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.30006894 0.10045124 -1.5877833 -0.31473798 -0.7558105 -1.1639134 -0.63017905 -1.1473566 ... [ 2019-11-25 12:33:13,388 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,388 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/Const [ 2019-11-25 12:33:13,388 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,388 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,389 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,389 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,389 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,389 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/moving_variance [ 2019-11-25 12:33:13,389 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,389 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,389 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,390 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 243.68954 747.5683 564.2687 149.94803 786.2433 329.7524 591.4401 204.7173 ... [ 2019-11-25 12:33:13,390 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,390 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,390 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,390 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,391 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 243.68954 747.5683 564.2687 149.94803 786.2433 329.7524 591.4401 204.7173 ... [ 2019-11-25 12:33:13,391 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,392 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 243.68954 747.5683 564.2687 149.94803 786.2433 329.7524 591.4401 204.7173 ... [ 2019-11-25 12:33:13,392 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,392 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/moving_mean [ 2019-11-25 12:33:13,392 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,392 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,392 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,393 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 9.286457 24.895115 9.521801 -32.655605 19.32656 7.425148 -10.088525 -0.237... [ 2019-11-25 12:33:13,393 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,393 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,393 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,393 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,394 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 9.286457 24.895115 9.521801 -32.655605 19.32656 7.425148 -10.088525 -0.237... [ 2019-11-25 12:33:13,394 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,394 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 9.286457 24.895115 9.521801 -32.655605 19.32656 7.425148 -10.088525 -0.237... [ 2019-11-25 12:33:13,394 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,394 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/beta [ 2019-11-25 12:33:13,394 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,395 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,395 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,395 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 1.4409883 0.9693613 0.00749409 -0.4228753 2.4909992 0.8432762 1.7910755 1.5648491 ... [ 2019-11-25 12:33:13,395 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,395 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/ReadVariableOp [ 2019-11-25 12:33:13,396 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,396 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,396 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 1.4409883 0.9693613 0.00749409 -0.4228753 2.4909992 0.8432762 1.7910755 1.5648491 ... [ 2019-11-25 12:33:13,396 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,397 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 1.4409883 0.9693613 0.00749409 -0.4228753 2.4909992 0.8432762 1.7910755 1.5648491 ... [ 2019-11-25 12:33:13,397 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,397 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/Const [ 2019-11-25 12:33:13,397 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,397 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,397 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,398 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,398 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,398 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_18/kernel [ 2019-11-25 12:33:13,398 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,399 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,399 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,399 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 64], value = [[[[ 0.817999 0.644024 0.07672653 ... -0.5203438 0.54841954 0.5506625 ] [-0.61617... [ 2019-11-25 12:33:13,399 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,399 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_18/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,399 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,399 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,400 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 256 64], value = [[[[ 0.817999 0.644024 0.07672653 ... -0.5203438 0.54841954 0.5506625 ] [-0.61617... [ 2019-11-25 12:33:13,400 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,400 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 64], value = [[[[ 0.817999 0.644024 0.07672653 ... -0.5203438 0.54841954 0.5506625 ] [-0.61617... [ 2019-11-25 12:33:13,401 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,401 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_17/kernel [ 2019-11-25 12:33:13,401 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,401 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,401 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,403 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[ 0.07491641 0.3862797 0.30610082 ... 0.4032889 0.30632097 0.04971729] [ 0.80965... [ 2019-11-25 12:33:13,404 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,404 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_17/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,404 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,404 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,406 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 96 96], value = [[[[ 0.07491641 0.3862797 0.30610082 ... 0.4032889 0.30632097 0.04971729] [ 0.80965... [ 2019-11-25 12:33:13,406 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,408 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[ 0.07491641 0.3862797 0.30610082 ... 0.4032889 0.30632097 0.04971729] [ 0.80965... [ 2019-11-25 12:33:13,408 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,409 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_14/kernel [ 2019-11-25 12:33:13,409 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,409 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,409 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,415 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 5 5 48 64], value = [[[[-0.3943453 0.65698135 0.6159055 ... -0.19990745 -0.00922696 -0.72227424] [ 0.84939... [ 2019-11-25 12:33:13,415 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,415 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_14/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,415 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,415 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,421 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 5 5 48 64], value = [[[[-0.3943453 0.65698135 0.6159055 ... -0.19990745 -0.00922696 -0.72227424] [ 0.84939... [ 2019-11-25 12:33:13,421 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,427 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 5 5 48 64], value = [[[[-0.3943453 0.65698135 0.6159055 ... -0.19990745 -0.00922696 -0.72227424] [ 0.84939... [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_12/kernel [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 64], value = [[[[ 0.4457668 0.5203989 0.8483574 ... 0.301294 0.18113607 -0.27118236] [-0.69804... [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_12/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,428 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,429 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,429 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 256 64], value = [[[[ 0.4457668 0.5203989 0.8483574 ... 0.301294 0.18113607 -0.27118236] [-0.69804... [ 2019-11-25 12:33:13,429 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,430 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 64], value = [[[[ 0.4457668 0.5203989 0.8483574 ... 0.301294 0.18113607 -0.27118236] [-0.69804... [ 2019-11-25 12:33:13,430 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,430 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/moving_variance [ 2019-11-25 12:33:13,430 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,430 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,430 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,431 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 7270.7925 1047.4243 8643.074 2646.9573 2675.5671 6659.7207 10394.479 1846.4116 ... [ 2019-11-25 12:33:13,431 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,431 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,431 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,432 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,432 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 7270.7925 1047.4243 8643.074 2646.9573 2675.5671 6659.7207 10394.479 1846.4116 ... [ 2019-11-25 12:33:13,432 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,433 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 7270.7925 1047.4243 8643.074 2646.9573 2675.5671 6659.7207 10394.479 1846.4116 ... [ 2019-11-25 12:33:13,433 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,433 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/moving_mean [ 2019-11-25 12:33:13,433 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,433 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,434 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,434 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ -8.453592 -7.3872504 30.732391 -9.484332 -9.524264 26.242193 24.068602 -6.0974426 ... [ 2019-11-25 12:33:13,434 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,434 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,435 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,435 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,435 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ -8.453592 -7.3872504 30.732391 -9.484332 -9.524264 26.242193 24.068602 -6.0974426 ... [ 2019-11-25 12:33:13,435 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,436 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ -8.453592 -7.3872504 30.732391 -9.484332 -9.524264 26.242193 24.068602 -6.0974426 ... [ 2019-11-25 12:33:13,436 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,436 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/beta [ 2019-11-25 12:33:13,436 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,437 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,437 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,437 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-0.3583943 -0.61169976 -0.16303252 -0.15286855 0.17092592 -1.3577001 0.22859994 -0.6318375 ... [ 2019-11-25 12:33:13,438 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,438 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/ReadVariableOp [ 2019-11-25 12:33:13,438 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,438 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,439 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-0.3583943 -0.61169976 -0.16303252 -0.15286855 0.17092592 -1.3577001 0.22859994 -0.6318375 ... [ 2019-11-25 12:33:13,439 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,439 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-0.3583943 -0.61169976 -0.16303252 -0.15286855 0.17092592 -1.3577001 0.22859994 -0.6318375 ... [ 2019-11-25 12:33:13,440 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,440 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/Const [ 2019-11-25 12:33:13,440 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,440 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,440 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,440 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/moving_variance [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 672.3876 747.9724 208.68898 340.04037 817.37683 564.7925 138.06377 497.89597 384.186... [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,441 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,442 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,442 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ 672.3876 747.9724 208.68898 340.04037 817.37683 564.7925 138.06377 497.89597 384.186... [ 2019-11-25 12:33:13,442 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,443 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 672.3876 747.9724 208.68898 340.04037 817.37683 564.7925 138.06377 497.89597 384.186... [ 2019-11-25 12:33:13,443 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,443 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/moving_mean [ 2019-11-25 12:33:13,443 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,443 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,443 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,444 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 0.9489804 13.237519 -21.6215 14.949008 -7.2613606 19.447 18.048342 -18.6... [ 2019-11-25 12:33:13,444 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,444 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,444 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,444 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ 0.9489804 13.237519 -21.6215 14.949008 -7.2613606 19.447 18.048342 -18.6... [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 0.9489804 13.237519 -21.6215 14.949008 -7.2613606 19.447 18.048342 -18.6... [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/beta [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,445 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,446 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 0.09527291 -1.1368967 0.12048335 -0.07755557 0.5577767 -0.48434392 -0.3533701 0.12942052... [ 2019-11-25 12:33:13,446 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,446 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/ReadVariableOp [ 2019-11-25 12:33:13,446 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,446 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,447 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ 0.09527291 -1.1368967 0.12048335 -0.07755557 0.5577767 -0.48434392 -0.3533701 0.12942052... [ 2019-11-25 12:33:13,447 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,447 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 0.09527291 -1.1368967 0.12048335 -0.07755557 0.5577767 -0.48434392 -0.3533701 0.12942052... [ 2019-11-25 12:33:13,447 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/Const [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_16/kernel [ 2019-11-25 12:33:13,448 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,449 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,449 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,451 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[-0.09387853 0.2917713 0.1452572 ... -0.8292687 -0.8086868 0.8110841 ] [-0.738219... [ 2019-11-25 12:33:13,451 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,451 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_16/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,451 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,451 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,454 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 64 96], value = [[[[-0.09387853 0.2917713 0.1452572 ... -0.8292687 -0.8086868 0.8110841 ] [-0.738219... [ 2019-11-25 12:33:13,454 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,456 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[-0.09387853 0.2917713 0.1452572 ... -0.8292687 -0.8086868 0.8110841 ] [-0.738219... [ 2019-11-25 12:33:13,456 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,456 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_13/kernel [ 2019-11-25 12:33:13,456 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,456 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,457 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,457 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 48], value = [[[[-0.2981763 0.42909014 -0.40976903 ... 0.3777939 0.29219452 -0.5914187 ] [-0.22799... [ 2019-11-25 12:33:13,457 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,457 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_13/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,457 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,457 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,458 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 256 48], value = [[[[-0.2981763 0.42909014 -0.40976903 ... 0.3777939 0.29219452 -0.5914187 ] [-0.22799... [ 2019-11-25 12:33:13,458 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,458 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 48], value = [[[[-0.2981763 0.42909014 -0.40976903 ... 0.3777939 0.29219452 -0.5914187 ] [-0.22799... [ 2019-11-25 12:33:13,459 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,459 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/moving_variance [ 2019-11-25 12:33:13,459 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,459 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,459 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,459 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 302.52057 334.2929 365.6495 392.6715 634.21124 451.24323 160.10304 1018.6665 ... [ 2019-11-25 12:33:13,460 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,460 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,460 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,460 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,460 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 302.52057 334.2929 365.6495 392.6715 634.21124 451.24323 160.10304 1018.6665 ... [ 2019-11-25 12:33:13,460 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,461 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 302.52057 334.2929 365.6495 392.6715 634.21124 451.24323 160.10304 1018.6665 ... [ 2019-11-25 12:33:13,461 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,461 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/moving_mean [ 2019-11-25 12:33:13,461 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,461 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,461 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,462 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -3.4870071 -0.50716877 -0.09157962 6.496182 -0.44505274 34.26526 -20.584179 -19.... [ 2019-11-25 12:33:13,462 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,462 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,462 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,462 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,463 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ -3.4870071 -0.50716877 -0.09157962 6.496182 -0.44505274 34.26526 -20.584179 -19.... [ 2019-11-25 12:33:13,463 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,464 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ -3.4870071 -0.50716877 -0.09157962 6.496182 -0.44505274 34.26526 -20.584179 -19.... [ 2019-11-25 12:33:13,464 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,464 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/beta [ 2019-11-25 12:33:13,464 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,464 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,464 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,465 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.714465 0.5403811 0.50815994 -0.7280674 -0.5651086 -0.3767598 0.95467407 1.46976 ... [ 2019-11-25 12:33:13,465 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,465 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/ReadVariableOp [ 2019-11-25 12:33:13,465 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,465 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,466 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-0.714465 0.5403811 0.50815994 -0.7280674 -0.5651086 -0.3767598 0.95467407 1.46976 ... [ 2019-11-25 12:33:13,466 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,467 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-0.714465 0.5403811 0.50815994 -0.7280674 -0.5651086 -0.3767598 0.95467407 1.46976 ... [ 2019-11-25 12:33:13,467 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,467 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/Const [ 2019-11-25 12:33:13,467 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,467 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,467 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,467 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_15/kernel [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 64], value = [[[[ 0.72046363 -0.41446996 -0.42305437 ... 0.7659487 0.5658198 -0.68474793] [ 0.410612... [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_15/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,468 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,469 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,469 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 256 64], value = [[[[ 0.72046363 -0.41446996 -0.42305437 ... 0.7659487 0.5658198 -0.68474793] [ 0.410612... [ 2019-11-25 12:33:13,469 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 256 64], value = [[[[ 0.72046363 -0.41446996 -0.42305437 ... 0.7659487 0.5658198 -0.68474793] [ 0.410612... [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed0/concat/axis [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [], value = 3 [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/moving_variance [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,470 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,471 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [296.5687 671.05475 72.33624 611.74194 263.2316 326.3518 17.821226 263.1302 143.34006... [ 2019-11-25 12:33:13,471 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,471 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,471 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,471 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,472 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [296.5687 671.05475 72.33624 611.74194 263.2316 326.3518 17.821226 263.1302 143.34006... [ 2019-11-25 12:33:13,472 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,472 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [296.5687 671.05475 72.33624 611.74194 263.2316 326.3518 17.821226 263.1302 143.34006... [ 2019-11-25 12:33:13,472 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,472 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/moving_mean [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 9.683057 77.70008 -28.690985 56.5664 -53.30913 -37.235344 -11.200635 40.21595 ... [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,473 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,474 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 9.683057 77.70008 -28.690985 56.5664 -53.30913 -37.235344 -11.200635 40.21595 ... [ 2019-11-25 12:33:13,474 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,474 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 9.683057 77.70008 -28.690985 56.5664 -53.30913 -37.235344 -11.200635 40.21595 ... [ 2019-11-25 12:33:13,474 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,474 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/beta [ 2019-11-25 12:33:13,474 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,475 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,475 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,475 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-1.8452913 -0.61759645 0.10054982 0.46253508 0.40534067 -1.2064452 -0.4810582 0.42811626 ... [ 2019-11-25 12:33:13,475 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,475 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/ReadVariableOp [ 2019-11-25 12:33:13,475 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,475 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,476 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [-1.8452913 -0.61759645 0.10054982 0.46253508 0.40534067 -1.2064452 -0.4810582 0.42811626 ... [ 2019-11-25 12:33:13,476 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,476 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [-1.8452913 -0.61759645 0.10054982 0.46253508 0.40534067 -1.2064452 -0.4810582 0.42811626 ... [ 2019-11-25 12:33:13,476 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,476 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/Const [ 2019-11-25 12:33:13,476 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/moving_variance [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,477 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,478 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 2881.9211 2680.6597 1104.098 8333.553 5083.737 1556.845 4183.875 1921.9791 ... [ 2019-11-25 12:33:13,478 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,478 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,478 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,479 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,479 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 2881.9211 2680.6597 1104.098 8333.553 5083.737 1556.845 4183.875 1921.9791 ... [ 2019-11-25 12:33:13,479 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,480 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 2881.9211 2680.6597 1104.098 8333.553 5083.737 1556.845 4183.875 1921.9791 ... [ 2019-11-25 12:33:13,480 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,480 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/moving_mean [ 2019-11-25 12:33:13,480 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,481 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,481 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,481 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 46.292522 44.900818 38.139374 -11.997209 42.083565 35.3792 42.574455 56.... [ 2019-11-25 12:33:13,482 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,482 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,482 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,482 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,483 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 46.292522 44.900818 38.139374 -11.997209 42.083565 35.3792 42.574455 56.... [ 2019-11-25 12:33:13,483 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,483 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 46.292522 44.900818 38.139374 -11.997209 42.083565 35.3792 42.574455 56.... [ 2019-11-25 12:33:13,484 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,484 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/beta [ 2019-11-25 12:33:13,484 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,484 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,484 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,485 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-1.5286983 0.35956642 0.5029723 0.12783012 -0.24571699 -0.80336756 -0.8198041 -0.9777026 ... [ 2019-11-25 12:33:13,485 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,485 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/ReadVariableOp [ 2019-11-25 12:33:13,485 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,485 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,486 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-1.5286983 0.35956642 0.5029723 0.12783012 -0.24571699 -0.80336756 -0.8198041 -0.9777026 ... [ 2019-11-25 12:33:13,486 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,487 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-1.5286983 0.35956642 0.5029723 0.12783012 -0.24571699 -0.80336756 -0.8198041 -0.9777026 ... [ 2019-11-25 12:33:13,487 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,487 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/Const [ 2019-11-25 12:33:13,487 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,487 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,487 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,488 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,488 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,488 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/moving_variance [ 2019-11-25 12:33:13,488 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,488 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,488 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,489 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 5558.4297 12226.6 31819.46 39128.4 10915.009 8465.781 7660.0103 7985.5894 29657.20... [ 2019-11-25 12:33:13,489 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,489 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,489 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,489 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,490 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 5558.4297 12226.6 31819.46 39128.4 10915.009 8465.781 7660.0103 7985.5894 29657.20... [ 2019-11-25 12:33:13,490 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,490 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 5558.4297 12226.6 31819.46 39128.4 10915.009 8465.781 7660.0103 7985.5894 29657.20... [ 2019-11-25 12:33:13,491 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,491 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/moving_mean [ 2019-11-25 12:33:13,491 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,491 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,491 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,491 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 55.92681 46.837986 26.238432 -30.250826 42.885838 -54.03977 83.016396 -162.... [ 2019-11-25 12:33:13,491 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,492 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,492 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,492 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,492 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 55.92681 46.837986 26.238432 -30.250826 42.885838 -54.03977 83.016396 -162.... [ 2019-11-25 12:33:13,492 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,493 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 55.92681 46.837986 26.238432 -30.250826 42.885838 -54.03977 83.016396 -162.... [ 2019-11-25 12:33:13,493 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,493 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/beta [ 2019-11-25 12:33:13,493 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,493 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,493 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,494 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-8.3698875e-01 -1.6248081e+00 7.0064831e-01 3.5306001e+00 -6.8591565e-01 6.1271173e-01 8.08... [ 2019-11-25 12:33:13,494 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,494 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/ReadVariableOp [ 2019-11-25 12:33:13,494 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,494 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,495 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-8.3698875e-01 -1.6248081e+00 7.0064831e-01 3.5306001e+00 -6.8591565e-01 6.1271173e-01 8.08... [ 2019-11-25 12:33:13,495 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,495 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-8.3698875e-01 -1.6248081e+00 7.0064831e-01 3.5306001e+00 -6.8591565e-01 6.1271173e-01 8.08... [ 2019-11-25 12:33:13,496 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,496 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/Const [ 2019-11-25 12:33:13,496 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,496 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,496 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,496 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,497 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,497 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/moving_variance [ 2019-11-25 12:33:13,497 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,497 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,497 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,498 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 165.67368 570.7108 487.33725 317.71988 199.97206 606.9223 346.4541 33.937733 ... [ 2019-11-25 12:33:13,498 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,498 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,498 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,498 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,499 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 165.67368 570.7108 487.33725 317.71988 199.97206 606.9223 346.4541 33.937733 ... [ 2019-11-25 12:33:13,499 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,499 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 165.67368 570.7108 487.33725 317.71988 199.97206 606.9223 346.4541 33.937733 ... [ 2019-11-25 12:33:13,499 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,499 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/moving_mean [ 2019-11-25 12:33:13,500 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,500 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,500 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,500 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 6.3046198e+00 4.2188248e+01 -2.3457859e+01 2.9533024e+01 -3.3953903e+01 3.1715273e+01 1.16... [ 2019-11-25 12:33:13,500 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,500 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,500 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,501 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,501 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 6.3046198e+00 4.2188248e+01 -2.3457859e+01 2.9533024e+01 -3.3953903e+01 3.1715273e+01 1.16... [ 2019-11-25 12:33:13,501 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,502 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 6.3046198e+00 4.2188248e+01 -2.3457859e+01 2.9533024e+01 -3.3953903e+01 3.1715273e+01 1.16... [ 2019-11-25 12:33:13,502 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,502 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/beta [ 2019-11-25 12:33:13,502 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,502 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,502 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,503 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 2.6811361 1.8102827 5.0533175 -0.3688605 0.03144449 2.784157 -0.4812808 2.6716845 ... [ 2019-11-25 12:33:13,503 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,503 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/ReadVariableOp [ 2019-11-25 12:33:13,503 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,503 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,504 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 2.6811361 1.8102827 5.0533175 -0.3688605 0.03144449 2.784157 -0.4812808 2.6716845 ... [ 2019-11-25 12:33:13,504 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,505 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 2.6811361 1.8102827 5.0533175 -0.3688605 0.03144449 2.784157 -0.4812808 2.6716845 ... [ 2019-11-25 12:33:13,505 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,505 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/Const [ 2019-11-25 12:33:13,505 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,505 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,505 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,506 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,506 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,506 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_11/kernel [ 2019-11-25 12:33:13,506 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,506 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,506 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,506 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 32], value = [[[[-0.41726124 -0.2559174 0.10060713 ... -0.47981757 -0.5199248 0.3453531 ] [-0.736798... [ 2019-11-25 12:33:13,507 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,507 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_11/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,507 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,507 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,507 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 192 32], value = [[[[-0.41726124 -0.2559174 0.10060713 ... -0.47981757 -0.5199248 0.3453531 ] [-0.736798... [ 2019-11-25 12:33:13,507 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,508 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 32], value = [[[[-0.41726124 -0.2559174 0.10060713 ... -0.47981757 -0.5199248 0.3453531 ] [-0.736798... [ 2019-11-25 12:33:13,508 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,508 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_10/kernel [ 2019-11-25 12:33:13,508 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,508 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,508 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,511 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[-4.99070048e-01 5.86791337e-01 -6.36453748e-01 ... 2.04372391e-01 -6.21502995e-01 -4.74... [ 2019-11-25 12:33:13,511 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,511 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_10/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,511 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,511 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,513 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 96 96], value = [[[[-4.99070048e-01 5.86791337e-01 -6.36453748e-01 ... 2.04372391e-01 -6.21502995e-01 -4.74... [ 2019-11-25 12:33:13,513 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,516 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 96 96], value = [[[[-4.99070048e-01 5.86791337e-01 -6.36453748e-01 ... 2.04372391e-01 -6.21502995e-01 -4.74... [ 2019-11-25 12:33:13,516 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,516 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_7/kernel [ 2019-11-25 12:33:13,516 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,516 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,516 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,522 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 5 5 48 64], value = [[[[ 0.763399 0.8076857 -0.08095207 ... -0.4081577 -0.7658864 -0.48017138] [-0.367765... [ 2019-11-25 12:33:13,522 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,522 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_7/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,522 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,523 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,529 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 5 5 48 64], value = [[[[ 0.763399 0.8076857 -0.08095207 ... -0.4081577 -0.7658864 -0.48017138] [-0.367765... [ 2019-11-25 12:33:13,529 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,535 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 5 5 48 64], value = [[[[ 0.763399 0.8076857 -0.08095207 ... -0.4081577 -0.7658864 -0.48017138] [-0.367765... [ 2019-11-25 12:33:13,535 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,535 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_5/kernel [ 2019-11-25 12:33:13,535 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,535 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,535 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,536 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 64], value = [[[[-0.7197942 -0.8957125 0.9095301 ... 0.68898326 -0.08787853 -0.8197967 ] [-0.90204... [ 2019-11-25 12:33:13,536 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,536 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_5/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,536 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,536 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,537 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 192 64], value = [[[[-0.7197942 -0.8957125 0.9095301 ... 0.68898326 -0.08787853 -0.8197967 ] [-0.90204... [ 2019-11-25 12:33:13,537 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,537 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 64], value = [[[[-0.7197942 -0.8957125 0.9095301 ... 0.68898326 -0.08787853 -0.8197967 ] [-0.90204... [ 2019-11-25 12:33:13,538 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,538 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/moving_variance [ 2019-11-25 12:33:13,538 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,538 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,538 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,539 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [4326.5205 1883.8595 4021.6277 2785.7117 1839.5767 569.9088 2995.3887 3102.3188 382.427... [ 2019-11-25 12:33:13,539 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,539 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,539 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,539 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,540 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [4326.5205 1883.8595 4021.6277 2785.7117 1839.5767 569.9088 2995.3887 3102.3188 382.427... [ 2019-11-25 12:33:13,540 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,540 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [4326.5205 1883.8595 4021.6277 2785.7117 1839.5767 569.9088 2995.3887 3102.3188 382.427... [ 2019-11-25 12:33:13,541 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,541 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/moving_mean [ 2019-11-25 12:33:13,541 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,541 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,541 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,542 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 58.483173 17.232143 21.591793 -92.76643 10.5414915 20.287708 -37.032177 13... [ 2019-11-25 12:33:13,542 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,542 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,542 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,542 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,543 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [ 58.483173 17.232143 21.591793 -92.76643 10.5414915 20.287708 -37.032177 13... [ 2019-11-25 12:33:13,543 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,544 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [ 58.483173 17.232143 21.591793 -92.76643 10.5414915 20.287708 -37.032177 13... [ 2019-11-25 12:33:13,544 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,544 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/beta [ 2019-11-25 12:33:13,544 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,544 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,544 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,545 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-0.37959325 0.19300357 -1.0081255 -0.14177518 -1.1038958 -0.26368347 -0.4982309 -0.11211304... [ 2019-11-25 12:33:13,545 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,545 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/ReadVariableOp [ 2019-11-25 12:33:13,545 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,545 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,546 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [96], value = [-0.37959325 0.19300357 -1.0081255 -0.14177518 -1.1038958 -0.26368347 -0.4982309 -0.11211304... [ 2019-11-25 12:33:13,546 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,547 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [-0.37959325 0.19300357 -1.0081255 -0.14177518 -1.1038958 -0.26368347 -0.4982309 -0.11211304... [ 2019-11-25 12:33:13,547 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,547 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/Const [ 2019-11-25 12:33:13,547 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,547 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,547 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,548 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,548 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,548 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/moving_variance [ 2019-11-25 12:33:13,548 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,548 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,548 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,549 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 385.31485 660.939 545.38007 384.8298 492.47385 292.4932 346.72614 293.59982 ... [ 2019-11-25 12:33:13,549 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,549 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,549 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,549 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,550 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ 385.31485 660.939 545.38007 384.8298 492.47385 292.4932 346.72614 293.59982 ... [ 2019-11-25 12:33:13,550 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,550 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 385.31485 660.939 545.38007 384.8298 492.47385 292.4932 346.72614 293.59982 ... [ 2019-11-25 12:33:13,550 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,550 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/moving_mean [ 2019-11-25 12:33:13,550 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,551 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,551 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,551 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 29.905981 45.240665 -32.891216 -46.47586 47.90343 -55.039505 18.32432 -29.607613 47.916... [ 2019-11-25 12:33:13,551 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,551 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,551 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,551 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,552 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [ 29.905981 45.240665 -32.891216 -46.47586 47.90343 -55.039505 18.32432 -29.607613 47.916... [ 2019-11-25 12:33:13,552 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,553 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [ 29.905981 45.240665 -32.891216 -46.47586 47.90343 -55.039505 18.32432 -29.607613 47.916... [ 2019-11-25 12:33:13,553 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,553 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/beta [ 2019-11-25 12:33:13,553 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,553 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,553 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,553 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [-0.4906421 -1.1045678 -1.07138 0.72146994 1.042988 -0.5884282 -0.57113063 0.04023674 ... [ 2019-11-25 12:33:13,554 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,554 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/ReadVariableOp [ 2019-11-25 12:33:13,554 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,554 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,554 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [48], value = [-0.4906421 -1.1045678 -1.07138 0.72146994 1.042988 -0.5884282 -0.57113063 0.04023674 ... [ 2019-11-25 12:33:13,554 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,555 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [-0.4906421 -1.1045678 -1.07138 0.72146994 1.042988 -0.5884282 -0.57113063 0.04023674 ... [ 2019-11-25 12:33:13,555 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,555 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/Const [ 2019-11-25 12:33:13,555 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,555 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,555 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,556 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [48], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,556 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,556 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_9/kernel [ 2019-11-25 12:33:13,556 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,556 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,556 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,558 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[ 0.27898452 -0.85724616 -0.7013147 ... -0.27625182 0.7503738 -0.7903068 ] [ 0.400856... [ 2019-11-25 12:33:13,559 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,559 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_9/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,559 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,559 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,561 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 64 96], value = [[[[ 0.27898452 -0.85724616 -0.7013147 ... -0.27625182 0.7503738 -0.7903068 ] [ 0.400856... [ 2019-11-25 12:33:13,561 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,563 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 64 96], value = [[[[ 0.27898452 -0.85724616 -0.7013147 ... -0.27625182 0.7503738 -0.7903068 ] [ 0.400856... [ 2019-11-25 12:33:13,564 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,564 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_6/kernel [ 2019-11-25 12:33:13,564 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,564 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,564 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,565 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 48], value = [[[[ 0.48806784 -0.46589682 -0.8126213 ... 0.55074984 -0.3916121 0.601981 ] [ 0.636047... [ 2019-11-25 12:33:13,565 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,565 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_6/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,565 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,565 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 192 48], value = [[[[ 0.48806784 -0.46589682 -0.8126213 ... 0.55074984 -0.3916121 0.601981 ] [ 0.636047... [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 48], value = [[[[ 0.48806784 -0.46589682 -0.8126213 ... 0.55074984 -0.3916121 0.601981 ] [ 0.636047... [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/moving_variance [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,566 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,567 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [235.00047 220.55539 772.01263 341.67242 339.74374 683.9125 335.7924 101.42951 668.5756 ... [ 2019-11-25 12:33:13,567 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,567 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,567 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,567 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,568 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [235.00047 220.55539 772.01263 341.67242 339.74374 683.9125 335.7924 101.42951 668.5756 ... [ 2019-11-25 12:33:13,568 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,569 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [235.00047 220.55539 772.01263 341.67242 339.74374 683.9125 335.7924 101.42951 668.5756 ... [ 2019-11-25 12:33:13,569 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,569 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/moving_mean [ 2019-11-25 12:33:13,569 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,569 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,569 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,570 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-22.66869 13.027385 -28.26552 -24.47674 22.49992 -21.1564 19.613497 8.872... [ 2019-11-25 12:33:13,570 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,570 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,570 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,570 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,571 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-22.66869 13.027385 -28.26552 -24.47674 22.49992 -21.1564 19.613497 8.872... [ 2019-11-25 12:33:13,571 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,571 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-22.66869 13.027385 -28.26552 -24.47674 22.49992 -21.1564 19.613497 8.872... [ 2019-11-25 12:33:13,571 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,571 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/beta [ 2019-11-25 12:33:13,571 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,571 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,572 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,572 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.3805626 -0.49831244 -0.98937213 -0.83762664 -1.4103973 -0.11678315 0.52183974 -0.50663245... [ 2019-11-25 12:33:13,572 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,572 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/ReadVariableOp [ 2019-11-25 12:33:13,572 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,572 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,573 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 0.3805626 -0.49831244 -0.98937213 -0.83762664 -1.4103973 -0.11678315 0.52183974 -0.50663245... [ 2019-11-25 12:33:13,573 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,574 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 0.3805626 -0.49831244 -0.98937213 -0.83762664 -1.4103973 -0.11678315 0.52183974 -0.50663245... [ 2019-11-25 12:33:13,574 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,574 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/Const [ 2019-11-25 12:33:13,574 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,574 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,574 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,575 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,575 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,575 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_8/kernel [ 2019-11-25 12:33:13,575 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,575 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,575 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,575 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 64], value = [[[[-0.4985878 0.3792863 -0.6142167 ... 0.68535984 0.62025666 -0.6995168 ] [-0.46446... [ 2019-11-25 12:33:13,576 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,576 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_8/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,576 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,576 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,576 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 192 64], value = [[[[-0.4985878 0.3792863 -0.6142167 ... 0.68535984 0.62025666 -0.6995168 ] [-0.46446... [ 2019-11-25 12:33:13,576 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,577 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 192 64], value = [[[[-0.4985878 0.3792863 -0.6142167 ... 0.68535984 0.62025666 -0.6995168 ] [-0.46446... [ 2019-11-25 12:33:13,577 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,577 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/moving_variance [ 2019-11-25 12:33:13,577 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,577 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,577 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,579 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [3543.9578 5053.598 8201.294 1270.4221 1665.4595 2099.4863 1886.8123 3736.8088 3283.761... [ 2019-11-25 12:33:13,579 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,579 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,579 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,579 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,580 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [3543.9578 5053.598 8201.294 1270.4221 1665.4595 2099.4863 1886.8123 3736.8088 3283.761... [ 2019-11-25 12:33:13,581 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,582 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [3543.9578 5053.598 8201.294 1270.4221 1665.4595 2099.4863 1886.8123 3736.8088 3283.761... [ 2019-11-25 12:33:13,582 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,582 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/moving_mean [ 2019-11-25 12:33:13,582 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,582 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,582 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,584 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4.8111544 -36.405064 50.582092 -46.41771 87.28833 13.098845 -41.67739 ... [ 2019-11-25 12:33:13,584 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,584 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,584 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,584 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,585 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 4.8111544 -36.405064 50.582092 -46.41771 87.28833 13.098845 -41.67739 ... [ 2019-11-25 12:33:13,585 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,587 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 4.8111544 -36.405064 50.582092 -46.41771 87.28833 13.098845 -41.67739 ... [ 2019-11-25 12:33:13,587 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,587 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/beta [ 2019-11-25 12:33:13,587 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,587 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,587 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,588 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1.6943765 -0.5078083 0.5259223 0.600072 -0.474906 -0.8759766 0.86265826 0.38877434 ... [ 2019-11-25 12:33:13,589 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,589 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/ReadVariableOp [ 2019-11-25 12:33:13,589 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,589 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,590 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [192], value = [ 1.6943765 -0.5078083 0.5259223 0.600072 -0.474906 -0.8759766 0.86265826 0.38877434 ... [ 2019-11-25 12:33:13,590 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,592 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [ 1.6943765 -0.5078083 0.5259223 0.600072 -0.474906 -0.8759766 0.86265826 0.38877434 ... [ 2019-11-25 12:33:13,592 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,592 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/Const [ 2019-11-25 12:33:13,592 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,592 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,592 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,593 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,593 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,593 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_4/kernel [ 2019-11-25 12:33:13,593 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,594 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,594 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,596 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 80 192], value = [[[[ 0.90830433 -0.52165145 -0.7026626 ... 0.5255311 0.39382863 -0.17042702] [ 0.54395... [ 2019-11-25 12:33:13,596 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,596 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_4/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,596 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,597 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,599 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 80 192], value = [[[[ 0.90830433 -0.52165145 -0.7026626 ... 0.5255311 0.39382863 -0.17042702] [ 0.54395... [ 2019-11-25 12:33:13,599 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,602 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 80 192], value = [[[[ 0.90830433 -0.52165145 -0.7026626 ... 0.5255311 0.39382863 -0.17042702] [ 0.54395... [ 2019-11-25 12:33:13,602 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,602 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/moving_variance [ 2019-11-25 12:33:13,602 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,602 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,602 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,603 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [80], value = [ 41.78073 147.24223 47.698627 77.97948 10.320079 11.746895 41.858646 26.85706 ... [ 2019-11-25 12:33:13,603 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,603 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,603 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,603 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,604 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [80], value = [ 41.78073 147.24223 47.698627 77.97948 10.320079 11.746895 41.858646 26.85706 ... [ 2019-11-25 12:33:13,604 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,605 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [80], value = [ 41.78073 147.24223 47.698627 77.97948 10.320079 11.746895 41.858646 26.85706 ... [ 2019-11-25 12:33:13,605 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,605 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/moving_mean [ 2019-11-25 12:33:13,605 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,605 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,605 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,606 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [80], value = [ 2.2140617 13.320351 -7.898849 8.872727 -10.224386 -2.332992 4.330182 6.42... [ 2019-11-25 12:33:13,606 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,606 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,606 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,606 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,607 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [80], value = [ 2.2140617 13.320351 -7.898849 8.872727 -10.224386 -2.332992 4.330182 6.42... [ 2019-11-25 12:33:13,607 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,608 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [80], value = [ 2.2140617 13.320351 -7.898849 8.872727 -10.224386 -2.332992 4.330182 6.42... [ 2019-11-25 12:33:13,608 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,608 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/beta [ 2019-11-25 12:33:13,608 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,608 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,608 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,609 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [80], value = [-1.2408745 -0.7801576 0.62675774 0.518171 0.13164261 0.52302283 -0.27438217 -1.2094861 ... [ 2019-11-25 12:33:13,609 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,609 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/ReadVariableOp [ 2019-11-25 12:33:13,609 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,609 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,610 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [80], value = [-1.2408745 -0.7801576 0.62675774 0.518171 0.13164261 0.52302283 -0.27438217 -1.2094861 ... [ 2019-11-25 12:33:13,610 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,611 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [80], value = [-1.2408745 -0.7801576 0.62675774 0.518171 0.13164261 0.52302283 -0.27438217 -1.2094861 ... [ 2019-11-25 12:33:13,611 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,611 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/Const [ 2019-11-25 12:33:13,611 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,612 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,612 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,612 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [80], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,613 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,613 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_3/kernel [ 2019-11-25 12:33:13,613 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,613 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,613 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,613 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 64 80], value = [[[[-1.0763153 0.23532112 0.37231335 ... -0.45401025 -0.6787216 -0.3333902 ] [-0.424669... [ 2019-11-25 12:33:13,614 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,614 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_3/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,614 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,614 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,614 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 1 64 80], value = [[[[-1.0763153 0.23532112 0.37231335 ... -0.45401025 -0.6787216 -0.3333902 ] [-0.424669... [ 2019-11-25 12:33:13,615 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,615 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 1 64 80], value = [[[[-1.0763153 0.23532112 0.37231335 ... -0.45401025 -0.6787216 -0.3333902 ] [-0.424669... [ 2019-11-25 12:33:13,615 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,615 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/moving_variance [ 2019-11-25 12:33:13,615 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,615 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,616 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,616 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1156.3057 620.08325 145.95439 295.07928 449.20035 1144.3682 119.32067 132.3674 ... [ 2019-11-25 12:33:13,616 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,616 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,616 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,617 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,617 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [1156.3057 620.08325 145.95439 295.07928 449.20035 1144.3682 119.32067 132.3674 ... [ 2019-11-25 12:33:13,617 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,618 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1156.3057 620.08325 145.95439 295.07928 449.20035 1144.3682 119.32067 132.3674 ... [ 2019-11-25 12:33:13,618 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,618 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/moving_mean [ 2019-11-25 12:33:13,618 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,618 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,618 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,619 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-22.679375 11.596439 2.2414756 4.761645 -13.566889 -17.621273 -30.098698 -17.67... [ 2019-11-25 12:33:13,619 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,619 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,619 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,619 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,620 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [-22.679375 11.596439 2.2414756 4.761645 -13.566889 -17.621273 -30.098698 -17.67... [ 2019-11-25 12:33:13,620 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,621 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [-22.679375 11.596439 2.2414756 4.761645 -13.566889 -17.621273 -30.098698 -17.67... [ 2019-11-25 12:33:13,621 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,621 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/beta [ 2019-11-25 12:33:13,621 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,621 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,621 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,622 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 2.06847 -1.683008 0.6520858 -2.6568737 1.6072575 0.2714064 -0.97805125 -1.1623887 ... [ 2019-11-25 12:33:13,622 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,622 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/ReadVariableOp [ 2019-11-25 12:33:13,622 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,622 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,623 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [64], value = [ 2.06847 -1.683008 0.6520858 -2.6568737 1.6072575 0.2714064 -0.97805125 -1.1623887 ... [ 2019-11-25 12:33:13,623 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,623 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [ 2.06847 -1.683008 0.6520858 -2.6568737 1.6072575 0.2714064 -0.97805125 -1.1623887 ... [ 2019-11-25 12:33:13,623 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,623 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/Const [ 2019-11-25 12:33:13,623 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,624 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,624 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,624 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,624 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,624 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_2/kernel [ 2019-11-25 12:33:13,624 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,625 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,625 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,627 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 32 64], value = [[[[-0.5196613 0.3649236 -0.5229298 ... 0.33466178 0.44766805 -0.7547191 ] [-0.75121... [ 2019-11-25 12:33:13,627 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,627 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_2/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,627 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,627 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,630 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 32 64], value = [[[[-0.5196613 0.3649236 -0.5229298 ... 0.33466178 0.44766805 -0.7547191 ] [-0.75121... [ 2019-11-25 12:33:13,630 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,632 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 32 64], value = [[[[-0.5196613 0.3649236 -0.5229298 ... 0.33466178 0.44766805 -0.7547191 ] [-0.75121... [ 2019-11-25 12:33:13,632 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,632 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/moving_variance [ 2019-11-25 12:33:13,632 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,632 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,633 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,633 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [4.43390234e+03 3.07238306e+03 5.65862744e+03 4.95852203e+02 1.17880905e+02 7.63458313e+02 2.014... [ 2019-11-25 12:33:13,633 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,633 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,633 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,633 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,634 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [4.43390234e+03 3.07238306e+03 5.65862744e+03 4.95852203e+02 1.17880905e+02 7.63458313e+02 2.014... [ 2019-11-25 12:33:13,634 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,634 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [4.43390234e+03 3.07238306e+03 5.65862744e+03 4.95852203e+02 1.17880905e+02 7.63458313e+02 2.014... [ 2019-11-25 12:33:13,634 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,634 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/moving_mean [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 3.5020084e+00 3.2239456e+01 3.3482269e+01 -6.9510293e+00 -1.3204292e+00 5.8893143e+01 1.81... [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,635 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,636 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 3.5020084e+00 3.2239456e+01 3.3482269e+01 -6.9510293e+00 -1.3204292e+00 5.8893143e+01 1.81... [ 2019-11-25 12:33:13,636 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,636 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 3.5020084e+00 3.2239456e+01 3.3482269e+01 -6.9510293e+00 -1.3204292e+00 5.8893143e+01 1.81... [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/beta [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 1.4380153 2.265022 3.6853497 -1.8474613 -2.594496 0.28588182 -0.23724961 -0.09442482... [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/ReadVariableOp [ 2019-11-25 12:33:13,637 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,638 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,638 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 1.4380153 2.265022 3.6853497 -1.8474613 -2.594496 0.28588182 -0.23724961 -0.09442482... [ 2019-11-25 12:33:13,638 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,639 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 1.4380153 2.265022 3.6853497 -1.8474613 -2.594496 0.28588182 -0.23724961 -0.09442482... [ 2019-11-25 12:33:13,639 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,639 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/Const [ 2019-11-25 12:33:13,639 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,639 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,639 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,639 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [ 2019-11-25 12:33:13,640 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,640 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_1/kernel [ 2019-11-25 12:33:13,640 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,640 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,640 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,642 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 32 32], value = [[[[-1.2049805 0.751878 1.7437423 ... -0.34507927 0.9186569 0.3564874 ] [-0.492641... [ 2019-11-25 12:33:13,643 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,643 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_1/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,643 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,643 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,646 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 32 32], value = [[[[-1.2049805 0.751878 1.7437423 ... -0.34507927 0.9186569 0.3564874 ] [-0.492641... [ 2019-11-25 12:33:13,646 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,649 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 32 32], value = [[[[-1.2049805 0.751878 1.7437423 ... -0.34507927 0.9186569 0.3564874 ] [-0.492641... [ 2019-11-25 12:33:13,649 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,649 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/moving_variance [ 2019-11-25 12:33:13,649 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,649 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,649 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,650 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [325251.47 38476.13 860784.06 479261.1 952495.6 464454.66 670639.75 431108.88 196564.7 76640... [ 2019-11-25 12:33:13,650 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,650 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/FusedBatchNorm/ReadVariableOp_1 [ 2019-11-25 12:33:13,650 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,650 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [325251.47 38476.13 860784.06 479261.1 952495.6 464454.66 670639.75 431108.88 196564.7 76640... [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [325251.47 38476.13 860784.06 479261.1 952495.6 464454.66 670639.75 431108.88 196564.7 76640... [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/moving_mean [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,651 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,652 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ -704.99207 -262.46466 1168.6117 -900.15045 1206.5737 -878.70575 1064.1034 784.64813... [ 2019-11-25 12:33:13,652 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,652 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/FusedBatchNorm/ReadVariableOp [ 2019-11-25 12:33:13,652 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,652 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ -704.99207 -262.46466 1168.6117 -900.15045 1206.5737 -878.70575 1064.1034 784.64813... [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ -704.99207 -262.46466 1168.6117 -900.15045 1206.5737 -878.70575 1064.1034 784.64813... [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/beta [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,653 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,654 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 1.219011 -0.522744 1.8528028 3.6269996 -1.6692965 4.3424406 -1.1658762 0.59404194 ... [ 2019-11-25 12:33:13,654 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,654 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/ReadVariableOp [ 2019-11-25 12:33:13,654 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,654 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,655 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [32], value = [ 1.219011 -0.522744 1.8528028 3.6269996 -1.6692965 4.3424406 -1.1658762 0.59404194 ... [ 2019-11-25 12:33:13,655 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,655 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [ 1.219011 -0.522744 1.8528028 3.6269996 -1.6692965 4.3424406 -1.1658762 0.59404194 ... [ 2019-11-25 12:33:13,655 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,655 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/Const [ 2019-11-25 12:33:13,655 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d/kernel [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:131 ] Op: Const [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,656 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,662 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 3 32], value = [[[[-9.99813735e-01 -6.25845850e-01 3.67184281e-01 -8.38429272e-01 6.28019094e-01 -6.260895... [ 2019-11-25 12:33:13,662 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,662 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d/Conv2D/ReadVariableOp [ 2019-11-25 12:33:13,662 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:13,662 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,668 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 3 3 3 32], value = [[[[-9.99813735e-01 -6.25845850e-01 3.67184281e-01 -8.38429272e-01 6.28019094e-01 -6.260895... [ 2019-11-25 12:33:13,668 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,673 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 3 3 3 32], value = [[[[-9.99813735e-01 -6.25845850e-01 3.67184281e-01 -8.38429272e-01 6.28019094e-01 -6.260895... [ 2019-11-25 12:33:13,673 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,673 ] [ DEBUG ] [ infer:130 ] Partial infer for input_1 [ 2019-11-25 12:33:13,674 ] [ DEBUG ] [ infer:131 ] Op: Parameter [ 2019-11-25 12:33:13,674 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,674 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,674 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 360 480 3], value = [ 2019-11-25 12:33:13,674 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,674 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d/Conv2D [ 2019-11-25 12:33:13,674 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,675 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,675 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 360 480 3], value = [ 2019-11-25 12:33:13,681 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 3 32], value = [[[[-9.99813735e-01 -6.25845850e-01 3.67184281e-01 -8.38429272e-01 6.28019094e-01 -6.260895... [ 2019-11-25 12:33:13,681 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,681 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 179 239 32], value = [ 2019-11-25 12:33:13,682 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,682 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization/FusedBatchNorm [ 2019-11-25 12:33:13,682 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,682 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,682 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 179 239 32], value = [ 2019-11-25 12:33:13,682 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [ 2019-11-25 12:33:13,683 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [32], value = [ 1.219011 -0.522744 1.8528028 3.6269996 -1.6692965 4.3424406 -1.1658762 0.59404194 ... [ 2019-11-25 12:33:13,683 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [32], value = [ -704.99207 -262.46466 1168.6117 -900.15045 1206.5737 -878.70575 1064.1034 784.64813... [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [32], value = [325251.47 38476.13 860784.06 479261.1 952495.6 464454.66 670639.75 431108.88 196564.7 76640... [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 179 239 32], value = [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:130 ] Partial infer for activation/Relu [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 179 239 32], value = [ 2019-11-25 12:33:13,684 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,685 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 179 239 32], value = [ 2019-11-25 12:33:13,685 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,685 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_1/Conv2D [ 2019-11-25 12:33:13,685 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,685 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,686 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 179 239 32], value = [ 2019-11-25 12:33:13,688 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 32 32], value = [[[[-1.2049805 0.751878 1.7437423 ... -0.34507927 0.9186569 0.3564874 ] [-0.492641... [ 2019-11-25 12:33:13,688 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,688 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 177 237 32], value = [ 2019-11-25 12:33:13,688 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,688 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_1/FusedBatchNorm [ 2019-11-25 12:33:13,688 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,688 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,689 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 177 237 32], value = [ 2019-11-25 12:33:13,689 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [ 2019-11-25 12:33:13,689 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [32], value = [ 1.4380153 2.265022 3.6853497 -1.8474613 -2.594496 0.28588182 -0.23724961 -0.09442482... [ 2019-11-25 12:33:13,690 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [32], value = [ 3.5020084e+00 3.2239456e+01 3.3482269e+01 -6.9510293e+00 -1.3204292e+00 5.8893143e+01 1.81... [ 2019-11-25 12:33:13,690 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [32], value = [4.43390234e+03 3.07238306e+03 5.65862744e+03 4.95852203e+02 1.17880905e+02 7.63458313e+02 2.014... [ 2019-11-25 12:33:13,690 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,690 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 177 237 32], value = [ 2019-11-25 12:33:13,690 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_1/Relu [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 177 237 32], value = [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 177 237 32], value = [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_2/Conv2D [ 2019-11-25 12:33:13,691 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,692 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,692 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 177 237 32], value = [ 2019-11-25 12:33:13,694 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 32 64], value = [[[[-0.5196613 0.3649236 -0.5229298 ... 0.33466178 0.44766805 -0.7547191 ] [-0.75121... [ 2019-11-25 12:33:13,694 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,695 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 177 237 64], value = [ 2019-11-25 12:33:13,695 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,695 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_2/FusedBatchNorm [ 2019-11-25 12:33:13,695 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,695 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,695 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 177 237 64], value = [ 2019-11-25 12:33:13,696 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,696 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [ 2.06847 -1.683008 0.6520858 -2.6568737 1.6072575 0.2714064 -0.97805125 -1.1623887 ... [ 2019-11-25 12:33:13,697 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [-22.679375 11.596439 2.2414756 4.761645 -13.566889 -17.621273 -30.098698 -17.67... [ 2019-11-25 12:33:13,697 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [1156.3057 620.08325 145.95439 295.07928 449.20035 1144.3682 119.32067 132.3674 ... [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 177 237 64], value = [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_2/Relu [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 177 237 64], value = [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,698 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 177 237 64], value = [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:130 ] Partial infer for max_pooling2d/MaxPool [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:131 ] Op: MaxPool [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 177 237 64], value = [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 88 118 64], value = [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_3/Conv2D [ 2019-11-25 12:33:13,699 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,700 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,700 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 88 118 64], value = [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 64 80], value = [[[[-1.0763153 0.23532112 0.37231335 ... -0.45401025 -0.6787216 -0.3333902 ] [-0.424669... [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 88 118 80], value = [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_3/FusedBatchNorm [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,701 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 88 118 80], value = [ 2019-11-25 12:33:13,702 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [80], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,703 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [80], value = [-1.2408745 -0.7801576 0.62675774 0.518171 0.13164261 0.52302283 -0.27438217 -1.2094861 ... [ 2019-11-25 12:33:13,703 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [80], value = [ 2.2140617 13.320351 -7.898849 8.872727 -10.224386 -2.332992 4.330182 6.42... [ 2019-11-25 12:33:13,704 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [80], value = [ 41.78073 147.24223 47.698627 77.97948 10.320079 11.746895 41.858646 26.85706 ... [ 2019-11-25 12:33:13,704 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,704 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 88 118 80], value = [ 2019-11-25 12:33:13,704 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,704 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_3/Relu [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 88 118 80], value = [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 88 118 80], value = [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_4/Conv2D [ 2019-11-25 12:33:13,705 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,706 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,706 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 88 118 80], value = [ 2019-11-25 12:33:13,709 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 80 192], value = [[[[ 0.90830433 -0.52165145 -0.7026626 ... 0.5255311 0.39382863 -0.17042702] [ 0.54395... [ 2019-11-25 12:33:13,709 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,709 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 86 116 192], value = [ 2019-11-25 12:33:13,710 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,710 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_4/FusedBatchNorm [ 2019-11-25 12:33:13,710 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,710 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,710 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 86 116 192], value = [ 2019-11-25 12:33:13,711 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,713 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [ 1.6943765 -0.5078083 0.5259223 0.600072 -0.474906 -0.8759766 0.86265826 0.38877434 ... [ 2019-11-25 12:33:13,714 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 4.8111544 -36.405064 50.582092 -46.41771 87.28833 13.098845 -41.67739 ... [ 2019-11-25 12:33:13,715 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [3543.9578 5053.598 8201.294 1270.4221 1665.4595 2099.4863 1886.8123 3736.8088 3283.761... [ 2019-11-25 12:33:13,715 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 86 116 192], value = [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_4/Relu [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 86 116 192], value = [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 86 116 192], value = [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,716 ] [ DEBUG ] [ infer:130 ] Partial infer for max_pooling2d_1/MaxPool [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:131 ] Op: MaxPool [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 86 116 192], value = [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 192], value = [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_5/Conv2D [ 2019-11-25 12:33:13,717 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,718 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,718 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 192], value = [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 192 64], value = [[[[-0.7197942 -0.8957125 0.9095301 ... 0.68898326 -0.08787853 -0.8197967 ] [-0.90204... [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_5/FusedBatchNorm [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,719 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,720 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,720 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [ 2.6811361 1.8102827 5.0533175 -0.3688605 0.03144449 2.784157 -0.4812808 2.6716845 ... [ 2019-11-25 12:33:13,721 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ 6.3046198e+00 4.2188248e+01 -2.3457859e+01 2.9533024e+01 -3.3953903e+01 3.1715273e+01 1.16... [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 165.67368 570.7108 487.33725 317.71988 199.97206 606.9223 346.4541 33.937733 ... [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_5/Relu [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,722 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d/AvgPool [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 192], value = [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 192], value = [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_11/Conv2D [ 2019-11-25 12:33:13,723 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,724 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,724 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 192], value = [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 192 32], value = [[[[-0.41726124 -0.2559174 0.10060713 ... -0.47981757 -0.5199248 0.3453531 ] [-0.736798... [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 32], value = [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_11/FusedBatchNorm [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,725 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 32], value = [ 2019-11-25 12:33:13,726 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.] [ 2019-11-25 12:33:13,726 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [32], value = [-1.8452913 -0.61759645 0.10054982 0.46253508 0.40534067 -1.2064452 -0.4810582 0.42811626 ... [ 2019-11-25 12:33:13,727 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [32], value = [ 9.683057 77.70008 -28.690985 56.5664 -53.30913 -37.235344 -11.200635 40.21595 ... [ 2019-11-25 12:33:13,727 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [32], value = [296.5687 671.05475 72.33624 611.74194 263.2316 326.3518 17.821226 263.1302 143.34006... [ 2019-11-25 12:33:13,727 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,727 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 32], value = [ 2019-11-25 12:33:13,727 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_11/Relu [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 32], value = [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 32], value = [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_6/Conv2D [ 2019-11-25 12:33:13,728 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,729 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,729 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 192], value = [ 2019-11-25 12:33:13,729 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 192 48], value = [[[[ 0.48806784 -0.46589682 -0.8126213 ... 0.55074984 -0.3916121 0.601981 ] [ 0.636047... [ 2019-11-25 12:33:13,730 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,730 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,730 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,730 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_6/FusedBatchNorm [ 2019-11-25 12:33:13,730 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,730 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,730 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,731 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [48], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,731 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [48], value = [-0.4906421 -1.1045678 -1.07138 0.72146994 1.042988 -0.5884282 -0.57113063 0.04023674 ... [ 2019-11-25 12:33:13,732 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [48], value = [ 29.905981 45.240665 -32.891216 -46.47586 47.90343 -55.039505 18.32432 -29.607613 47.916... [ 2019-11-25 12:33:13,732 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [48], value = [ 385.31485 660.939 545.38007 384.8298 492.47385 292.4932 346.72614 293.59982 ... [ 2019-11-25 12:33:13,732 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,732 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,732 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,732 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_6/Relu [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_7/Conv2D [ 2019-11-25 12:33:13,733 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,734 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,734 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,741 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 5 5 48 64], value = [[[[ 0.763399 0.8076857 -0.08095207 ... -0.4081577 -0.7658864 -0.48017138] [-0.367765... [ 2019-11-25 12:33:13,741 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,741 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,741 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,742 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_7/FusedBatchNorm [ 2019-11-25 12:33:13,742 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,742 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,742 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,742 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,743 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [-8.3698875e-01 -1.6248081e+00 7.0064831e-01 3.5306001e+00 -6.8591565e-01 6.1271173e-01 8.08... [ 2019-11-25 12:33:13,744 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ 55.92681 46.837986 26.238432 -30.250826 42.885838 -54.03977 83.016396 -162.... [ 2019-11-25 12:33:13,744 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 5558.4297 12226.6 31819.46 39128.4 10915.009 8465.781 7660.0103 7985.5894 29657.20... [ 2019-11-25 12:33:13,744 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,744 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_7/Relu [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_8/Conv2D [ 2019-11-25 12:33:13,745 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,746 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,746 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 192], value = [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 192 64], value = [[[[-0.4985878 0.3792863 -0.6142167 ... 0.68535984 0.62025666 -0.6995168 ] [-0.46446... [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_8/FusedBatchNorm [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,747 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,748 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,749 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [ 0.3805626 -0.49831244 -0.98937213 -0.83762664 -1.4103973 -0.11678315 0.52183974 -0.50663245... [ 2019-11-25 12:33:13,749 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [-22.66869 13.027385 -28.26552 -24.47674 22.49992 -21.1564 19.613497 8.872... [ 2019-11-25 12:33:13,750 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [235.00047 220.55539 772.01263 341.67242 339.74374 683.9125 335.7924 101.42951 668.5756 ... [ 2019-11-25 12:33:13,750 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,750 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,750 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,750 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_8/Relu [ 2019-11-25 12:33:13,750 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,750 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,751 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,751 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,751 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,751 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,751 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_9/Conv2D [ 2019-11-25 12:33:13,751 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,752 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,752 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,754 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 64 96], value = [[[[ 0.27898452 -0.85724616 -0.7013147 ... -0.27625182 0.7503738 -0.7903068 ] [ 0.400856... [ 2019-11-25 12:33:13,754 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,754 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,754 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,755 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_9/FusedBatchNorm [ 2019-11-25 12:33:13,755 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,755 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,755 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,756 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,756 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [-0.37959325 0.19300357 -1.0081255 -0.14177518 -1.1038958 -0.26368347 -0.4982309 -0.11211304... [ 2019-11-25 12:33:13,757 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [ 58.483173 17.232143 21.591793 -92.76643 10.5414915 20.287708 -37.032177 13... [ 2019-11-25 12:33:13,758 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [4326.5205 1883.8595 4021.6277 2785.7117 1839.5767 569.9088 2995.3887 3102.3188 382.427... [ 2019-11-25 12:33:13,758 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,758 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,758 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,758 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_9/Relu [ 2019-11-25 12:33:13,758 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,758 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,759 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,759 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,759 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,759 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,759 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_10/Conv2D [ 2019-11-25 12:33:13,759 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,760 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,760 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,762 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 96 96], value = [[[[-4.99070048e-01 5.86791337e-01 -6.36453748e-01 ... 2.04372391e-01 -6.21502995e-01 -4.74... [ 2019-11-25 12:33:13,762 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,762 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,762 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,763 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_10/FusedBatchNorm [ 2019-11-25 12:33:13,763 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,763 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,763 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,764 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,764 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [-1.5286983 0.35956642 0.5029723 0.12783012 -0.24571699 -0.80336756 -0.8198041 -0.9777026 ... [ 2019-11-25 12:33:13,765 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [ 46.292522 44.900818 38.139374 -11.997209 42.083565 35.3792 42.574455 56.... [ 2019-11-25 12:33:13,766 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [ 2881.9211 2680.6597 1104.098 8333.553 5083.737 1556.845 4183.875 1921.9791 ... [ 2019-11-25 12:33:13,766 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,766 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,766 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,766 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_10/Relu [ 2019-11-25 12:33:13,766 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,766 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed0/concat [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,767 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 42 57 32], value = [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 256], value = [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_12/Conv2D [ 2019-11-25 12:33:13,768 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,769 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,769 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 256], value = [ 2019-11-25 12:33:13,769 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 256 64], value = [[[[ 0.4457668 0.5203989 0.8483574 ... 0.301294 0.18113607 -0.27118236] [-0.69804... [ 2019-11-25 12:33:13,769 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,770 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,770 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,770 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_12/FusedBatchNorm [ 2019-11-25 12:33:13,770 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,770 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,770 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,771 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,771 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [ 1.4409883 0.9693613 0.00749409 -0.4228753 2.4909992 0.8432762 1.7910755 1.5648491 ... [ 2019-11-25 12:33:13,772 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ 9.286457 24.895115 9.521801 -32.655605 19.32656 7.425148 -10.088525 -0.237... [ 2019-11-25 12:33:13,772 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 243.68954 747.5683 564.2687 149.94803 786.2433 329.7524 591.4401 204.7173 ... [ 2019-11-25 12:33:13,772 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_12/Relu [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_1/AvgPool [ 2019-11-25 12:33:13,773 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:13,774 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,774 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 256], value = [ 2019-11-25 12:33:13,774 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,774 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 256], value = [ 2019-11-25 12:33:13,774 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,774 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_18/Conv2D [ 2019-11-25 12:33:13,774 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,775 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,775 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 256], value = [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 256 64], value = [[[[ 0.817999 0.644024 0.07672653 ... -0.5203438 0.54841954 0.5506625 ] [-0.61617... [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_18/FusedBatchNorm [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,776 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,777 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,777 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [ 0.41433558 -1.2231843 -2.0639977 -0.5541031 -1.4168983 -1.814905 -0.14739159 -1.1716284 -... [ 2019-11-25 12:33:13,778 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ 14.049114 -29.668428 -6.934533 13.379009 -33.569736 -14.473883 -23.25475 -2.00... [ 2019-11-25 12:33:13,778 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 242.5561 627.9861 941.8997 222.93379 659.6561 101.651505 2187.646 328.09094 ... [ 2019-11-25 12:33:13,778 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_18/Relu [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_13/Conv2D [ 2019-11-25 12:33:13,779 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,780 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,780 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 256], value = [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 256 48], value = [[[[-0.2981763 0.42909014 -0.40976903 ... 0.3777939 0.29219452 -0.5914187 ] [-0.22799... [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_13/FusedBatchNorm [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,781 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,782 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [48], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,782 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [48], value = [ 0.09527291 -1.1368967 0.12048335 -0.07755557 0.5577767 -0.48434392 -0.3533701 0.12942052... [ 2019-11-25 12:33:13,783 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [48], value = [ 0.9489804 13.237519 -21.6215 14.949008 -7.2613606 19.447 18.048342 -18.6... [ 2019-11-25 12:33:13,783 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [48], value = [ 672.3876 747.9724 208.68898 340.04037 817.37683 564.7925 138.06377 497.89597 384.186... [ 2019-11-25 12:33:13,783 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,783 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_13/Relu [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_14/Conv2D [ 2019-11-25 12:33:13,784 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,785 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,785 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,791 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 5 5 48 64], value = [[[[-0.3943453 0.65698135 0.6159055 ... -0.19990745 -0.00922696 -0.72227424] [ 0.84939... [ 2019-11-25 12:33:13,791 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,791 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,791 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,791 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_14/FusedBatchNorm [ 2019-11-25 12:33:13,791 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,792 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,792 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,792 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,793 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [-0.30006894 0.10045124 -1.5877833 -0.31473798 -0.7558105 -1.1639134 -0.63017905 -1.1473566 ... [ 2019-11-25 12:33:13,793 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ 30.75026 30.825731 -89.963486 -23.039658 -71.05674 -14.230504 -26.732616 -25.8... [ 2019-11-25 12:33:13,794 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 2792.9504 6610.9214 1729.8295 6169.7397 1526.4858 9264.95 10820.32 10053.102 7... [ 2019-11-25 12:33:13,794 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,794 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,794 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,794 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_14/Relu [ 2019-11-25 12:33:13,794 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,794 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,795 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,795 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,795 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,795 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,795 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_15/Conv2D [ 2019-11-25 12:33:13,795 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,796 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,796 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 256], value = [ 2019-11-25 12:33:13,796 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 256 64], value = [[[[ 0.72046363 -0.41446996 -0.42305437 ... 0.7659487 0.5658198 -0.68474793] [ 0.410612... [ 2019-11-25 12:33:13,796 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,796 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,796 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,796 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_15/FusedBatchNorm [ 2019-11-25 12:33:13,797 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,797 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,797 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,797 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,798 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [-0.714465 0.5403811 0.50815994 -0.7280674 -0.5651086 -0.3767598 0.95467407 1.46976 ... [ 2019-11-25 12:33:13,799 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ -3.4870071 -0.50716877 -0.09157962 6.496182 -0.44505274 34.26526 -20.584179 -19.... [ 2019-11-25 12:33:13,799 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 302.52057 334.2929 365.6495 392.6715 634.21124 451.24323 160.10304 1018.6665 ... [ 2019-11-25 12:33:13,799 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,799 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,799 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,799 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_15/Relu [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_16/Conv2D [ 2019-11-25 12:33:13,800 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,801 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,801 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,803 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 64 96], value = [[[[-0.09387853 0.2917713 0.1452572 ... -0.8292687 -0.8086868 0.8110841 ] [-0.738219... [ 2019-11-25 12:33:13,803 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,803 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,804 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,804 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_16/FusedBatchNorm [ 2019-11-25 12:33:13,804 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,804 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,804 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,805 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,805 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [-0.3583943 -0.61169976 -0.16303252 -0.15286855 0.17092592 -1.3577001 0.22859994 -0.6318375 ... [ 2019-11-25 12:33:13,806 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [ -8.453592 -7.3872504 30.732391 -9.484332 -9.524264 26.242193 24.068602 -6.0974426 ... [ 2019-11-25 12:33:13,807 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [ 7270.7925 1047.4243 8643.074 2646.9573 2675.5671 6659.7207 10394.479 1846.4116 ... [ 2019-11-25 12:33:13,807 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,807 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,807 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,807 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_16/Relu [ 2019-11-25 12:33:13,807 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,807 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,808 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,808 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,808 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,808 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,808 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_17/Conv2D [ 2019-11-25 12:33:13,808 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,808 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,809 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,811 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 96 96], value = [[[[ 0.07491641 0.3862797 0.30610082 ... 0.4032889 0.30632097 0.04971729] [ 0.80965... [ 2019-11-25 12:33:13,811 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,811 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,811 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,811 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_17/FusedBatchNorm [ 2019-11-25 12:33:13,811 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,811 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,812 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,812 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,813 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [ 0.7081871 -1.7120211 -1.8217475 -0.42640644 -0.73345655 -1.1881182 0.3654667 -1.3468971 ... [ 2019-11-25 12:33:13,814 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [-27.519648 6.233433 45.555195 -45.641586 9.190733 20.457394 41.288925 -60.51613 ... [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [ 2655.9534 1598.0029 5122.82 4601.81 2670.9849 1537.2247 4633.969 12625.459 ... [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_17/Relu [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,815 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed1/concat [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,816 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,817 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,817 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,817 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,817 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,817 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_19/Conv2D [ 2019-11-25 12:33:13,817 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,818 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,818 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,818 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 288 64], value = [[[[ 0.33438078 0.78538144 0.0469807 ... -0.8317005 0.8029539 -0.73126376] [-0.619549... [ 2019-11-25 12:33:13,818 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,818 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,818 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,819 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_19/FusedBatchNorm [ 2019-11-25 12:33:13,819 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,819 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,819 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,819 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,820 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [ 0.47195008 -1.2501208 0.41534722 0.98279893 -1.014574 -0.6099732 0.56692946 0.71787506 ... [ 2019-11-25 12:33:13,820 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ -4.6015716 16.763855 24.123827 -10.925089 9.825511 -12.0334835 9.9617405 1.91... [ 2019-11-25 12:33:13,821 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 370.97308 564.89557 501.87024 943.39734 595.462 330.75778 700.28986 691.23517 ... [ 2019-11-25 12:33:13,821 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,821 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,821 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,821 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_19/Relu [ 2019-11-25 12:33:13,821 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_2/AvgPool [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,822 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,823 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,823 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,823 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_25/Conv2D [ 2019-11-25 12:33:13,823 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,823 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,823 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,824 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 288 64], value = [[[[-0.79769135 -0.59953547 -0.6592111 ... 0.5597595 0.26111674 -0.50126666] [-0.52768... [ 2019-11-25 12:33:13,824 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,824 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,824 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,824 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_25/FusedBatchNorm [ 2019-11-25 12:33:13,824 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,824 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,825 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,825 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,826 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [-0.6558732 -2.057348 -0.9433568 -0.88675857 0.41794065 -0.79900736 -0.7442402 0.29232374... [ 2019-11-25 12:33:13,826 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ -7.1288786 -3.0559127 7.807248 14.537425 19.366613 17.387634 13.70148 18.19699 ... [ 2019-11-25 12:33:13,827 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 496.89203 377.52786 184.94695 445.28128 762.77704 773.861 460.37286 425.49792 7... [ 2019-11-25 12:33:13,827 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,827 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,827 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,827 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_25/Relu [ 2019-11-25 12:33:13,827 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,827 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,828 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,828 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,828 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,828 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,828 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_20/Conv2D [ 2019-11-25 12:33:13,828 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,828 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,829 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,829 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 288 48], value = [[[[ 1.0480148 0.1798751 1.0130411 ... -0.71979487 0.5942833 -0.13877758] [-0.203004... [ 2019-11-25 12:33:13,829 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,829 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,829 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,829 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_20/FusedBatchNorm [ 2019-11-25 12:33:13,829 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,830 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,830 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,830 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [48], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,831 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [48], value = [ 1.346318 -0.05053459 0.5631663 -0.9198474 2.1687822 -0.9957642 0.30413464 -1.204365 ... [ 2019-11-25 12:33:13,831 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [48], value = [ -1.0427321 11.222689 7.3873053 5.9484315 -8.95492 5.4835773 13.570514 8.094... [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [48], value = [ 241.32558 95.30603 367.13528 237.26941 984.7898 160.4352 194.82892 58.835438 ... [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_20/Relu [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,832 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,833 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,833 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_21/Conv2D [ 2019-11-25 12:33:13,833 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,833 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,833 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 48], value = [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 5 5 48 64], value = [[[[-0.8719022 0.66552335 0.3506619 ... 0.74243927 -0.3544606 0.49181068] [ 0.698689... [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_21/FusedBatchNorm [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,840 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,841 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,842 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [-0.77564776 0.6675035 -1.0281942 0.28547308 -0.43428594 0.49714348 -0.74383914 -0.39462537... [ 2019-11-25 12:33:13,842 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ 3.45026054e+01 -3.54518700e+01 -3.54324570e+01 7.39261322e+01 -3.28054504e+01 6.29862118e+00... [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [12799.86 3696.3228 1507.4463 31810.186 10225.128 23674.176 10395.207 4636.1997 1... [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_21/Relu [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,843 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,844 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,844 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,844 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_22/Conv2D [ 2019-11-25 12:33:13,844 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,844 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,844 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,845 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 288 64], value = [[[[ 0.8260735 0.6963145 0.5990457 ... 0.41185728 0.24602295 0.40772516] [ 0.49160... [ 2019-11-25 12:33:13,845 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,845 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,845 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,845 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_22/FusedBatchNorm [ 2019-11-25 12:33:13,845 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,845 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,846 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,846 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,847 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [ 0.9792622 -0.7552135 0.72099704 1.2913756 0.43323603 -0.29082167 -1.4003775 -2.006273 ... [ 2019-11-25 12:33:13,848 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ 6.8510284 -1.7825902 23.604218 -13.56182 -10.540905 -8.03512 20.016417 17.28... [ 2019-11-25 12:33:13,848 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [ 261.5355 620.1829 841.333 1602.033 181.13846 107.04491 592.7492 388.97614 ... [ 2019-11-25 12:33:13,848 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,848 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,848 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_22/Relu [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_23/Conv2D [ 2019-11-25 12:33:13,849 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,850 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,850 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,852 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 64 96], value = [[[[-0.2773266 0.7641494 -0.28931978 ... -0.80374056 0.44699344 0.83088386] [ 0.61520... [ 2019-11-25 12:33:13,852 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,853 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,853 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,853 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_23/FusedBatchNorm [ 2019-11-25 12:33:13,853 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,853 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,853 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,854 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,854 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [-0.5751256 1.0584604 -1.0747877 -1.3354138 -0.69111264 0.55651873 -0.59095 -0.36037543... [ 2019-11-25 12:33:13,855 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [-57.206036 23.570944 30.058207 35.193104 -36.803043 -29.391706 -0.50356823 -12.41... [ 2019-11-25 12:33:13,856 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [ 736.46814 1222.675 911.6447 4197.455 487.8975 1876.4471 1637.4185 2129.5962 ... [ 2019-11-25 12:33:13,856 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,856 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,856 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,856 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_23/Relu [ 2019-11-25 12:33:13,856 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,856 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,857 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,857 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,857 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,857 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,857 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_24/Conv2D [ 2019-11-25 12:33:13,857 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,858 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,858 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,860 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 96 96], value = [[[[-0.64733136 0.41582724 -0.5730415 ... -0.29553315 -0.5923656 -0.6011744 ] [ 0.571733... [ 2019-11-25 12:33:13,860 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,860 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,860 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,860 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_24/FusedBatchNorm [ 2019-11-25 12:33:13,860 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,861 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,861 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,861 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,862 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [ 1.9978951 -0.8316945 0.49553937 -1.8981442 1.0820673 -0.93847775 0.29133153 -0.57559514... [ 2019-11-25 12:33:13,863 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [-3.6688244e+01 4.2710695e+00 -1.5905877e+01 4.3335945e+01 2.0236631e+01 -4.8636589e+01 5.54... [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [ 4040.4387 1137.8462 2138.9958 2680.8867 3773.8613 1786.1353 9869.48 3565.8057 1708.9... [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_24/Relu [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,864 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,865 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,865 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,865 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed2/concat [ 2019-11-25 12:33:13,865 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:13,865 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,865 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,865 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:130 ] Partial infer for max_pooling2d_2/MaxPool [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:131 ] Op: MaxPool [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,866 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,867 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 288], value = [ 2019-11-25 12:33:13,867 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,867 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_26/Conv2D [ 2019-11-25 12:33:13,867 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,867 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,867 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,870 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 288 384], value = [[[[ 0.8034345 0.02148423 0.39234674 ... 0.4873656 -0.63293177 -0.6581193 ] [ 0.80867... [ 2019-11-25 12:33:13,870 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,870 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 384], value = [ 2019-11-25 12:33:13,870 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,870 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_26/FusedBatchNorm [ 2019-11-25 12:33:13,870 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,870 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,871 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 384], value = [ 2019-11-25 12:33:13,873 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,875 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [ 0.41637045 -1.1434784 -1.9090524 0.38780868 -0.82506055 -0.733622 -0.5544678 -0.40214884 -... [ 2019-11-25 12:33:13,878 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-2.96929283e+01 7.24166946e+01 1.02344276e+02 8.51333084e+01 3.00595741e+01 -1.17453461e+02... [ 2019-11-25 12:33:13,880 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 16338.448 26364.943 59959.285 23309.562 53586.3 69823.11 19973.375 20098.7... [ 2019-11-25 12:33:13,880 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 384], value = [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_26/Relu [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 384], value = [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 384], value = [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_27/Conv2D [ 2019-11-25 12:33:13,881 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,882 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,882 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 288], value = [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 288 64], value = [[[[-0.56261545 -1.3677762 -0.73311245 ... 0.55267376 -0.3263828 -0.6291897 ] [-0.773404... [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_27/FusedBatchNorm [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,883 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,884 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [64], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,884 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [64], value = [-0.9053838 -0.29773682 0.65249544 -0.10309726 -1.0250213 -0.9088673 -1.2103852 -2.4963458 ... [ 2019-11-25 12:33:13,885 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [64], value = [ -4.729212 -14.333773 -8.842964 -6.8729744 -1.1121612 -8.522654 4.895328 -10.3... [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [64], value = [2996.627 2610.4343 1096.4264 353.20618 2032.2916 2114.6477 915.61774 1053.128 ... [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_27/Relu [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,886 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,887 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,887 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_28/Conv2D [ 2019-11-25 12:33:13,887 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,887 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,887 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 64], value = [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 64 96], value = [[[[ 4.43652749e-01 6.37818873e-01 -5.91912627e-01 ... -6.91024542e-01 7.74418652e-01 2.10... [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_28/FusedBatchNorm [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,890 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,891 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,892 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [-1.9636021 -1.5958306 -1.2857473 0.19834898 -1.6932489 -0.39801192 0.42850724 -0.24248096... [ 2019-11-25 12:33:13,893 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [-7.89361906e+00 8.64729023e+00 5.19848490e+00 -8.14152360e-01 -1.59902010e+01 1.57575140e+01... [ 2019-11-25 12:33:13,893 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [2037.3397 66.09549 181.01825 441.12674 299.17648 205.81044 146.4873 448.45172 ... [ 2019-11-25 12:33:13,893 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,893 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_28/Relu [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_29/Conv2D [ 2019-11-25 12:33:13,894 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,895 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,895 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 42 57 96], value = [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 96 96], value = [[[[ 0.66737676 -0.8010278 -0.04675942 ... -0.64172465 0.6791253 -0.60285795] [ 0.617767... [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 96], value = [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_29/FusedBatchNorm [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,898 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 96], value = [ 2019-11-25 12:33:13,899 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [96], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,900 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [96], value = [ 0.28413683 -0.4551027 -0.6766557 -0.7514123 0.522846 0.09334624 -0.9415031 0.95646596... [ 2019-11-25 12:33:13,901 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [96], value = [ 7.6407466 -20.886019 11.274656 -3.1193976 14.139123 5.9553504 -20.51593 11.63... [ 2019-11-25 12:33:13,901 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [96], value = [ 3084.98 25850.986 1852.2484 1649.5864 10190.864 1006.42804 24728.285 9874.6... [ 2019-11-25 12:33:13,901 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 96], value = [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_29/Relu [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 96], value = [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 96], value = [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed3/concat [ 2019-11-25 12:33:13,902 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 384], value = [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 20 28 96], value = [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 20 28 288], value = [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_30/Conv2D [ 2019-11-25 12:33:13,903 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,904 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,904 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.59799606 -0.79349554 0.4314522 ... -0.5617071 0.01237036 0.5601812 ] [-0.53765... [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_30/FusedBatchNorm [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,905 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,906 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,908 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.73778373 -0.94154066 -1.2267786 0.36227632 -0.726533 -0.33825332 -0.74326557 -1.4161752 ... [ 2019-11-25 12:33:13,909 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-47.954254 34.422592 12.324686 -25.10901 22.514336 -55.839176 1.6302239 23.37... [ 2019-11-25 12:33:13,910 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 4552.382 4653.334 3389.475 3267.844 323.39578 12794.078 537.48987 8377.766 ... [ 2019-11-25 12:33:13,910 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_30/Relu [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_3/AvgPool [ 2019-11-25 12:33:13,911 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:13,912 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,912 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,912 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,912 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,912 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,912 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_39/Conv2D [ 2019-11-25 12:33:13,912 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,913 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,913 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,913 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[ 0.7077894 -0.633629 -0.5998126 ... 0.26552686 0.37178475 -0.40291077] [ 0.44575... [ 2019-11-25 12:33:13,913 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,913 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,914 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,914 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_39/FusedBatchNorm [ 2019-11-25 12:33:13,914 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,914 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,914 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,915 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,917 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [ 0.28178343 -0.752731 -1.4986193 -1.2693388 -1.1135523 -0.46316198 -2.4296148 -0.29453775... [ 2019-11-25 12:33:13,918 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 2.07576256e+01 -9.96394539e+00 -3.09323845e+01 -2.80859432e+01 -2.76811905e+01 -1.20972118e+01... [ 2019-11-25 12:33:13,919 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [15911.572 583.1734 368.7295 2938.5078 3736.5872 516.3182 11749.533 2706.... [ 2019-11-25 12:33:13,919 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_39/Relu [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_31/Conv2D [ 2019-11-25 12:33:13,920 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,921 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,921 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 128], value = [[[[ 0.7032461 -0.62937605 -0.72822565 ... 0.6314931 -0.7609669 -0.5849461 ] [-0.432405... [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_31/FusedBatchNorm [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,922 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,923 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,924 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [128], value = [-0.41092482 -0.49799168 0.02753182 0.84169644 -1.0146619 0.5436644 -0.2620661 0.42521343 ... [ 2019-11-25 12:33:13,925 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [128], value = [-2.15491924e+01 -2.38922710e+01 4.89999619e+01 3.39203262e+01 -2.46113796e+01 -9.22577477e+00... [ 2019-11-25 12:33:13,926 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [128], value = [ 9484.508 1506.1483 9131.631 4799.5796 2506.0374 1157.6233 5563.862 6734.0776 ... [ 2019-11-25 12:33:13,926 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,926 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,926 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,926 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_31/Relu [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_32/Conv2D [ 2019-11-25 12:33:13,927 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,928 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,928 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,930 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 128 128], value = [[[[-0.4261435 0.20294195 0.83446586 ... -0.6170138 -0.6221272 0.758601 ] [ 0.550661... [ 2019-11-25 12:33:13,930 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,930 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,930 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,930 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_32/FusedBatchNorm [ 2019-11-25 12:33:13,930 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,930 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,931 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,931 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,932 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [128], value = [ 0.57098264 -0.49987692 0.93140095 -0.3618273 -0.5244419 0.0477965 -0.7386249 0.34207055 ... [ 2019-11-25 12:33:13,933 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [128], value = [ 10.075936 -0.38072336 17.551582 7.963424 7.7854586 10.145031 -54.86824 -21.0... [ 2019-11-25 12:33:13,934 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [128], value = [ 3447.777 2822.2222 1754.8301 3998.8875 2768.5823 1785.8335 4167.086 3244.449 ... [ 2019-11-25 12:33:13,934 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_32/Relu [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_33/Conv2D [ 2019-11-25 12:33:13,935 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,936 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,936 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 128 192], value = [[[[ 0.23352303 -0.7619531 0.97177196 ... -0.42006803 -0.9833712 -0.38137767] [ 0.278461... [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_33/FusedBatchNorm [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,938 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,940 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,941 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.7448008 -1.1275425 0.84746206 0.9682996 -1.1864927 -1.7823654 -1.1039397 1.1104132 ... [ 2019-11-25 12:33:13,942 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 53.310127 -44.040394 26.183508 35.407223 -31.154444 8.450661 -42.970913 57.30... [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 7774.8604 4366.1396 2619.7922 3098.6462 1014.1524 1745.6296 14983.749 16013.877 ... [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_33/Relu [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,944 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,945 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,945 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_34/Conv2D [ 2019-11-25 12:33:13,945 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,945 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,945 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 128], value = [[[[-0.41177282 -0.7940929 0.18531285 ... -0.60393125 -0.6148266 -0.643357 ] [-0.654697... [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_34/FusedBatchNorm [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,946 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,947 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,948 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [128], value = [-0.65258074 -1.2093081 -1.5931033 -1.1424458 -0.9653907 -1.2639166 -2.9753816 -1.334573 ... [ 2019-11-25 12:33:13,949 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [128], value = [-32.974487 -36.10156 54.623432 40.411774 -42.752247 -11.217355 30.2644 -10.680081 ... [ 2019-11-25 12:33:13,950 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [128], value = [20865.879 8102.224 6407.5347 4706.0615 2661.3552 4437.5913 2310.127 4992.2026 ... [ 2019-11-25 12:33:13,950 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,950 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,950 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,950 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_34/Relu [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_35/Conv2D [ 2019-11-25 12:33:13,951 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,952 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,952 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 128 128], value = [[[[ 0.3782467 0.79867214 -0.7704509 ... 0.7667561 -0.6181492 -0.62151515] [-0.597520... [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_35/FusedBatchNorm [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,954 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,955 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,956 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [128], value = [-0.5080581 -1.342366 -0.09331884 -0.9369619 0.52955467 0.6002892 1.7352093 -0.6358551 ... [ 2019-11-25 12:33:13,957 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [128], value = [-37.838505 53.73119 -25.539385 -47.594986 -38.01698 70.41707 39.607815 -33.912... [ 2019-11-25 12:33:13,958 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [128], value = [ 5089.071 4713.1504 2406.586 1241.217 994.9954 9113.449 2857.0774 7970.5303 ... [ 2019-11-25 12:33:13,958 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,958 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,958 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,958 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_35/Relu [ 2019-11-25 12:33:13,958 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,958 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,959 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,959 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,959 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,959 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,959 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_36/Conv2D [ 2019-11-25 12:33:13,959 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,959 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,960 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,961 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 128 128], value = [[[[-0.58505964 0.63885486 -0.49847087 ... 0.1471462 0.8265725 -0.73326254] [-0.607785... [ 2019-11-25 12:33:13,961 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,962 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,962 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,962 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_36/FusedBatchNorm [ 2019-11-25 12:33:13,962 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,962 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,962 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,963 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,964 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [128], value = [-2.5533252 -0.5593211 0.49464455 1.1635635 -0.6365829 -0.32493412 1.066934 -1.355905 ... [ 2019-11-25 12:33:13,965 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [128], value = [-38.472748 -17.880371 6.359934 -50.1428 -62.81251 -8.400574 56.70706 104.031... [ 2019-11-25 12:33:13,966 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [128], value = [ 2702.4568 2450.155 4046.8408 6327.105 7991.335 1213.0837 15434.076 14314.727 7539.9... [ 2019-11-25 12:33:13,966 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,966 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,966 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,966 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_36/Relu [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_37/Conv2D [ 2019-11-25 12:33:13,967 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,968 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,968 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 128 128], value = [[[[ 0.58937126 -0.5500856 -0.5899889 ... 0.6045414 0.5715333 0.6350592 ] [-0.110086... [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_37/FusedBatchNorm [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,970 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,971 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [128], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,972 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [128], value = [-0.5389924 -0.10523825 -1.074302 1.3900307 -0.17214094 0.13906121 -0.5678229 1.79359 ... [ 2019-11-25 12:33:13,973 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [128], value = [-28.218988 61.30475 41.851616 3.4359972 47.520977 35.402256 -42.896633 57.854404 ... [ 2019-11-25 12:33:13,974 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [128], value = [ 2514.0464 2732.8643 2438.41 2163.2695 4227.8213 3483.3333 9120.608 3293.65 ... [ 2019-11-25 12:33:13,974 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,974 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,974 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,974 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_37/Relu [ 2019-11-25 12:33:13,974 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,974 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,975 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,975 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,975 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,975 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,975 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_38/Conv2D [ 2019-11-25 12:33:13,975 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,976 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,976 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 128], value = [ 2019-11-25 12:33:13,977 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 128 192], value = [[[[ 0.67934656 -0.44608665 0.14754209 ... 0.7495517 -0.4444258 -0.8615887 ] [ 0.666169... [ 2019-11-25 12:33:13,977 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,978 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,978 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,978 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_38/FusedBatchNorm [ 2019-11-25 12:33:13,978 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,978 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,978 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,979 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,981 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [ 0.74929315 -0.1513179 1.1200838 0.7142025 -1.9150119 -0.02244617 -1.0674081 -1.0532092 ... [ 2019-11-25 12:33:13,982 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 4.63596001e+01 -3.59797668e+01 -4.84735537e+00 1.46870680e+01 1.50190487e+01 -2.13226509e+01... [ 2019-11-25 12:33:13,983 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 8517.14 1143.0962 1408.6027 2463.6975 1555.9788 4928.7236 1141.812 679.63226 ... [ 2019-11-25 12:33:13,983 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,983 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,983 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,983 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_38/Relu [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed4/concat [ 2019-11-25 12:33:13,984 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_40/Conv2D [ 2019-11-25 12:33:13,985 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,986 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,986 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.6126823 0.58638066 0.5908532 ... 0.588355 0.5308095 -0.63042814] [-0.626838... [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_40/FusedBatchNorm [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,987 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,988 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,990 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.0311352 -1.441836 -2.3362496 -1.3285468 -1.502465 -0.8455955 0.73810005 0.05137148 ... [ 2019-11-25 12:33:13,991 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-26.430586 -10.165688 36.21889 -29.513428 -48.21154 18.047636 -16.69382 -24.212404 ... [ 2019-11-25 12:33:13,992 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 2936.616 2193.7441 8866.532 3203.4988 2245.579 721.52545 410.36786 569.9616 ... [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_40/Relu [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,993 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_4/AvgPool [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_49/Conv2D [ 2019-11-25 12:33:13,994 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:13,995 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,995 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[ 0.6430247 0.5466477 0.6293325 ... -0.6598403 -0.60597837 -0.63336647] [-0.61875... [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_49/FusedBatchNorm [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:13,996 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:13,998 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:13,999 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.4971709 -1.5892398 -1.37987 -1.4144943 -1.9212567 -1.5092655 -1.4303839 -2.1550887 ... [ 2019-11-25 12:33:14,001 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-2.4213123e+01 -3.7573296e+01 8.6382389e-01 -3.5149418e+01 -8.6364040e+00 -3.3033371e+01 -8.61... [ 2019-11-25 12:33:14,002 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 564.48206 753.70984 1382.5428 5774.5923 280.21796 9562.72 1857.0355 1760.2999 2... [ 2019-11-25 12:33:14,002 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,002 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,002 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,002 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_49/Relu [ 2019-11-25 12:33:14,002 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,002 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,003 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,003 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,003 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,003 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,003 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_41/Conv2D [ 2019-11-25 12:33:14,003 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,004 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,004 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,004 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 160], value = [[[[ 0.59487283 -0.60537773 0.58882606 ... 0.614789 -0.55552614 -0.5769393 ] [-0.79010... [ 2019-11-25 12:33:14,004 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,004 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,004 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,004 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_41/FusedBatchNorm [ 2019-11-25 12:33:14,005 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,005 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,005 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,006 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,007 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.4536577 0.6743112 0.06639253 0.13108388 -0.41202575 -1.2689152 -0.44910645 -1.3525919 ... [ 2019-11-25 12:33:14,008 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [-6.2341261e+00 2.3568874e+01 -1.1809155e+01 -1.5615774e+01 -2.2203398e+01 -1.5207142e+00 -4.60... [ 2019-11-25 12:33:14,009 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 1621.7059 951.7951 358.4328 3002.756 7322.913 1327.2518 847.09534 238.42694 ... [ 2019-11-25 12:33:14,009 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,009 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_41/Relu [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_42/Conv2D [ 2019-11-25 12:33:14,010 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,011 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,011 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 160 160], value = [[[[ 0.58530545 0.5761569 0.6181362 ... 0.6240633 0.61176866 -0.58943695] [-0.60438... [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_42/FusedBatchNorm [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,013 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,015 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,016 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-0.02672889 -1.881052 -0.80096585 -1.2093928 0.8470623 -1.7933731 -1.691022 0.5234616 ... [ 2019-11-25 12:33:14,017 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [ 43.500187 17.42585 31.776314 -60.626328 -33.078552 9.320338 32.112415 -18.38... [ 2019-11-25 12:33:14,018 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 6821.1875 5537.2153 1139.1213 17747.984 512.7076 1484.3318 927.9666 636.4329 ... [ 2019-11-25 12:33:14,018 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,018 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,018 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,018 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_42/Relu [ 2019-11-25 12:33:14,018 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,018 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,019 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,019 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,019 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,019 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,019 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_43/Conv2D [ 2019-11-25 12:33:14,019 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,019 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,020 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 160 192], value = [[[[-0.17321537 -0.8251381 -0.82767427 ... 0.6127249 -0.745224 -0.75097334] [-0.4479013... [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_43/FusedBatchNorm [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,022 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,023 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,025 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.5471352 -0.31216237 -0.36123332 -0.48149866 -1.9621971 0.23437542 -0.90722394 -0.16468665... [ 2019-11-25 12:33:14,026 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-8.94052505e+00 -2.66883354e+01 4.53157902e-01 6.35449982e+01 8.31304741e+00 3.57494402e+00... [ 2019-11-25 12:33:14,027 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 5922.405 11345.521 3990.3306 8084.094 4711.755 9011.284 4762.2026 1031.741 1... [ 2019-11-25 12:33:14,027 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_43/Relu [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_44/Conv2D [ 2019-11-25 12:33:14,028 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,029 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,029 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 160], value = [[[[ 0.58579475 0.6054346 0.57119375 ... -0.6094639 0.61403257 -0.5971657 ] [-0.32621... [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_44/FusedBatchNorm [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,030 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,032 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,033 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.2644387 -1.572265 -1.8861854 -0.40274033 -1.7848793 -0.4118869 1.8063086 1.6708198 ... [ 2019-11-25 12:33:14,034 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [-14.491412 -50.16459 -20.905249 -31.90656 2.641495 -41.755787 -24.041174 -33.8016 ... [ 2019-11-25 12:33:14,035 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 3954.622 6198.9956 1082.6229 4741.028 1034.5674 1329.1467 2081.5908 2939.7446 ... [ 2019-11-25 12:33:14,035 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,035 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,035 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,035 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_44/Relu [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_45/Conv2D [ 2019-11-25 12:33:14,036 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,037 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,037 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 160 160], value = [[[[-0.65881836 -0.26383024 -0.85947835 ... -0.74116886 -0.30297574 0.0648189 ] [-0.59655... [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_45/FusedBatchNorm [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,039 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,040 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,042 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [ 2.5234523 -0.98927784 -1.2850704 1.8713694 -1.2249159 0.39562714 -1.2881109 3.1635077 ... [ 2019-11-25 12:33:14,043 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [ -12.379234 -57.05923 -113.23526 189.91515 -30.206223 116.38114 -0.7209935 -2.... [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 8162.5986 1600.7756 6357.273 31530.107 2978.3635 7067.8574 1265.5762 3244.759 ... [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_45/Relu [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,044 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,045 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,045 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,045 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,045 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_46/Conv2D [ 2019-11-25 12:33:14,045 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,045 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,046 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,047 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 160 160], value = [[[[-5.95216274e-01 9.23537493e-01 -5.60012041e-03 ... 1.01001009e-01 4.36953641e-03 -4.26... [ 2019-11-25 12:33:14,047 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,047 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,047 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,048 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_46/FusedBatchNorm [ 2019-11-25 12:33:14,048 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,048 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,048 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,049 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,050 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.1967233 -1.3443127 -1.4740765 -1.2410607 -1.1034385 -1.4256877 0.00862795 -1.4860363 ... [ 2019-11-25 12:33:14,051 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [ -19.089317 -12.244619 79.35689 -95.21355 -71.54881 -68.51347 75.07112 -45.4... [ 2019-11-25 12:33:14,052 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 1421.379 2469.9854 3885.6838 5941.1343 4834.8267 5131.2373 5025.616 2009.245 4689.6... [ 2019-11-25 12:33:14,052 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,052 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_46/Relu [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_47/Conv2D [ 2019-11-25 12:33:14,053 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,054 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,054 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 160 160], value = [[[[ 0.51398504 -0.7584964 -0.59201473 ... -0.8362432 -0.6001539 0.4768015 ] [ 0.354146... [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_47/FusedBatchNorm [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,056 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,057 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,059 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.8739758 -1.0749089 -0.7365536 -0.27101177 -0.07018029 0.83985686 0.97724885 -0.12839086... [ 2019-11-25 12:33:14,060 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [ -40.73413 -56.038044 -51.832794 -33.5512 103.49678 67.81042 93.56515 ... [ 2019-11-25 12:33:14,061 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 6789.823 3890.2224 3038.8591 920.8114 19697.518 20177.36 34992.152 15551.472 7... [ 2019-11-25 12:33:14,061 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,061 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,061 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,061 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_47/Relu [ 2019-11-25 12:33:14,061 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,061 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,062 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,062 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,062 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,062 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,062 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_48/Conv2D [ 2019-11-25 12:33:14,062 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,062 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,063 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 160 192], value = [[[[-0.756771 0.8652615 -0.67884433 ... 0.5683545 -0.5150685 -0.83295935] [ 0.335217... [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_48/FusedBatchNorm [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,065 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,067 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,068 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.24662775 -0.0462332 -3.4967763 -1.9503973 -1.6316553 0.00463993 -1.1664432 -1.7161916 ... [ 2019-11-25 12:33:14,069 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-74.258865 12.272068 -0.5505441 -11.82668 -39.622753 44.708935 -54.06713 -62.86131 ... [ 2019-11-25 12:33:14,070 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 2652.4565 1037.2661 5152.742 1082.5015 790.59393 998.6765 6000.1196 5881.4346 ... [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_48/Relu [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed5/concat [ 2019-11-25 12:33:14,071 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,072 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,072 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,072 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,072 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,072 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,072 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,072 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,073 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,073 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_50/Conv2D [ 2019-11-25 12:33:14,073 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,073 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,073 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,074 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.8570373 0.4162742 0.18428694 ... -0.61748 0.86545575 0.59648365] [-0.35803... [ 2019-11-25 12:33:14,074 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,074 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,074 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,074 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_50/FusedBatchNorm [ 2019-11-25 12:33:14,074 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,074 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,075 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,076 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,077 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [ 0.638626 0.1859595 -0.56619084 0.15665078 -1.087277 0.28166896 0.87932044 -1.4916832 ... [ 2019-11-25 12:33:14,078 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-2.50156136e+01 -2.07594013e+01 -3.88187861e+00 -2.06816063e+01 -1.27562208e+01 -2.84321094e+00... [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 4615.467 5239.8447 1533.6641 655.25946 520.88403 616.3281 4117.576 282.39236 ... [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_50/Relu [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,080 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_5/AvgPool [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,081 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,082 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_59/Conv2D [ 2019-11-25 12:33:14,082 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,082 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,082 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.6210443 -0.58454865 -0.03731487 ... -0.26976234 0.63684624 -0.82184297] [ 0.59822... [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_59/FusedBatchNorm [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,083 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,085 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,086 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.28715 -0.14803979 -1.8461467 -0.40726236 -1.1526171 0.32180864 -1.0260412 -0.14656769... [ 2019-11-25 12:33:14,087 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ -9.939855 -18.89885 -3.4077113 -19.65615 -3.9929807 25.45133 -20.814892 -19.0... [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 457.8163 1563.0433 1812.3875 677.5292 417.20023 3577.326 3388.3357 446... [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_59/Relu [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,089 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,090 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,090 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,090 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_51/Conv2D [ 2019-11-25 12:33:14,090 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,090 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,090 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,091 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 160], value = [[[[-0.17361835 -0.6317607 -0.85389245 ... -0.66892344 -0.59954965 0.5826565 ] [-0.19426... [ 2019-11-25 12:33:14,091 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,091 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,091 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,091 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_51/FusedBatchNorm [ 2019-11-25 12:33:14,091 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,092 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,092 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,093 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,094 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-0.51191443 -0.50141555 -1.0777618 -0.01624787 0.2575397 -1.0025297 0.1503296 -0.88961583 ... [ 2019-11-25 12:33:14,095 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [-2.16105785e+01 -1.62389278e+01 -2.28613071e+01 -1.03500757e+01 -1.30169353e+01 -1.45817652e+01... [ 2019-11-25 12:33:14,096 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [2118.1235 184.92625 1742.5037 804.56494 488.10605 3054.8083 1105.7802 991.54834 4192.737... [ 2019-11-25 12:33:14,096 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_51/Relu [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,097 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,098 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,098 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_52/Conv2D [ 2019-11-25 12:33:14,098 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,098 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,098 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,100 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 160 160], value = [[[[-0.81932414 0.02609437 0.0587902 ... -0.6176535 -0.74461204 0.56539565] [ 0.50214... [ 2019-11-25 12:33:14,100 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,100 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,100 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,100 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_52/FusedBatchNorm [ 2019-11-25 12:33:14,100 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,101 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,101 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,102 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,103 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.248647 -0.7448414 0.9345622 -0.03651309 -0.8994768 -0.67247367 0.67432135 -0.33674943... [ 2019-11-25 12:33:14,104 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [-12.039407 -6.932251 39.342693 -15.415091 18.301535 -8.501538 26.224157 -10.58... [ 2019-11-25 12:33:14,105 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 1779.4463 670.74835 6884.8003 1067.1304 981.57184 1853.0056 2949.885 749.1545 ... [ 2019-11-25 12:33:14,105 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,105 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_52/Relu [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_53/Conv2D [ 2019-11-25 12:33:14,106 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,107 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,107 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 160 192], value = [[[[-0.67833817 0.61215425 -0.7309415 ... 0.55597883 -0.47376072 -0.828961 ] [-0.12643... [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_53/FusedBatchNorm [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,109 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,111 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,112 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [ 0.5581535 -0.8915711 -1.2404579 -0.4632082 -1.3598714 -0.23013838 -1.2624924 -1.2853018 ... [ 2019-11-25 12:33:14,113 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-16.682568 18.92842 -11.213213 18.928257 -22.942251 -10.971092 -16.5478 8.22... [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 593.05396 5262.956 4155.1616 4251.0435 1859.6283 562.5391 2899.9204 2738.8965 ... [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_53/Relu [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,115 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,116 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,116 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_54/Conv2D [ 2019-11-25 12:33:14,116 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,116 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,116 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,117 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 160], value = [[[[ 0.53749996 0.6072621 0.37366796 ... 0.59263796 -0.5887239 -0.5935466 ] [ 0.251317... [ 2019-11-25 12:33:14,117 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,117 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,117 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,117 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_54/FusedBatchNorm [ 2019-11-25 12:33:14,117 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,118 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,118 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,119 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,120 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.4074116 -1.3126377 -2.8940763 -1.0334704 -1.4300758 -1.8084606 -2.1676712 -1.7830633 ... [ 2019-11-25 12:33:14,121 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [ -9.535746 -8.308286 23.235046 -11.318017 -12.066019 -4.366132 -25.774763 -27.14... [ 2019-11-25 12:33:14,122 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 1153.4745 456.8563 3037.6707 4478.0874 332.44318 8840.849 1752.8618 7701.6606 1... [ 2019-11-25 12:33:14,122 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,122 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,122 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,122 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_54/Relu [ 2019-11-25 12:33:14,122 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,123 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,123 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,123 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,123 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,123 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,123 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_55/Conv2D [ 2019-11-25 12:33:14,123 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,124 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,124 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,125 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 160 160], value = [[[[ 0.587546 -0.54898345 -0.56970674 ... -0.5921614 -0.6125858 -0.53045714] [-0.600807... [ 2019-11-25 12:33:14,126 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,126 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,126 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,126 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_55/FusedBatchNorm [ 2019-11-25 12:33:14,126 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,126 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,126 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,127 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,128 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.7709353 -1.1680071 1.1739535 -0.46084958 -2.3941264 -0.4143986 -1.5607443 -0.32558736 ... [ 2019-11-25 12:33:14,129 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [-2.92623005e+01 3.40431175e+01 4.32747421e+01 -3.40223427e+01 2.00911503e+01 -1.79818420e+01... [ 2019-11-25 12:33:14,131 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 2210.4397 3943.547 4110.2065 3082.052 3422.881 903.9463 6892.63 3586.4866 ... [ 2019-11-25 12:33:14,131 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,131 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,131 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,131 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_55/Relu [ 2019-11-25 12:33:14,131 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,131 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,132 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,132 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,132 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,132 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,132 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_56/Conv2D [ 2019-11-25 12:33:14,132 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,133 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,133 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,134 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 160 160], value = [[[[-0.74162596 0.58034384 0.38590065 ... -0.62343436 0.5965299 -0.59493923] [ 0.582747... [ 2019-11-25 12:33:14,134 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,135 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,135 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,135 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_56/FusedBatchNorm [ 2019-11-25 12:33:14,135 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,135 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,135 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,136 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,137 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-7.75823653e-01 -1.46336019e+00 6.79096699e-01 -2.90641159e-01 -1.89504659e+00 -1.01557600e+00... [ 2019-11-25 12:33:14,139 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [ 6.9544554 -38.141758 45.195637 16.10995 -13.73143 -59.403893 -45.13022 -19.374... [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [ 3461.6523 4754.4507 8398.77 1951.9994 727.7993 11460.229 1595.3955 602.9226 ... [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_56/Relu [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,140 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,141 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,141 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,141 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_57/Conv2D [ 2019-11-25 12:33:14,141 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,141 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,142 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,143 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 160 160], value = [[[[-0.60413766 0.69703007 0.6096708 ... 0.6089261 -0.48553354 -0.6148989 ] [-0.81068... [ 2019-11-25 12:33:14,143 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,144 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,144 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,144 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_57/FusedBatchNorm [ 2019-11-25 12:33:14,144 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,144 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,144 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,145 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [160], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,146 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [160], value = [-1.5407712 1.1413451 -0.2344811 -0.74845856 -0.02286435 0.28420907 -1.353104 -0.81269145... [ 2019-11-25 12:33:14,147 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [160], value = [-47.25903 36.508133 -32.779137 12.76107 27.922998 22.087675 -12.977302 5.42... [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [160], value = [10565.088 4098.1177 7855.914 2687.806 2674.1702 2033.9192 1282.2859 2592.0078 ... [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_57/Relu [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,149 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,150 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,150 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_58/Conv2D [ 2019-11-25 12:33:14,150 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,150 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,150 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 160], value = [ 2019-11-25 12:33:14,152 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 160 192], value = [[[[ 0.5953513 -0.603106 -0.34166777 ... -0.73458946 0.76200974 -0.7950715 ] [-0.19765... [ 2019-11-25 12:33:14,152 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,152 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,152 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,152 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_58/FusedBatchNorm [ 2019-11-25 12:33:14,152 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,153 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,153 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,154 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,155 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.5140153 -1.533342 -0.43188977 -1.2326001 0.21581624 -0.48778045 0.13362204 0.44164306... [ 2019-11-25 12:33:14,156 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-8.5243645e+00 -2.4800442e+01 4.4520121e+00 -3.4292942e+01 2.0166124e+01 -7.4529915e+00 -4.42... [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 867.8184 2608.9238 1322.6257 4937.765 3036.6372 808.49036 6248.259 7828.2593 ... [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_58/Relu [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,158 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed6/concat [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,159 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,160 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,160 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,160 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,160 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,160 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_60/Conv2D [ 2019-11-25 12:33:14,160 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,161 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,161 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,161 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.271297 0.12888859 0.2872379 ... 0.61722773 -0.56927544 -0.63253015] [-0.40729... [ 2019-11-25 12:33:14,161 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,161 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,161 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,162 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_60/FusedBatchNorm [ 2019-11-25 12:33:14,162 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,162 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,162 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,163 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,165 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-2.9628456 -2.1343644 0.5469037 -1.5355967 -1.9510077 -1.5776505 -0.21369678 -0.24943165 ... [ 2019-11-25 12:33:14,166 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ -9.46408 -1.1566994 4.172941 -7.087332 -12.41615 -6.6041136 -19.286047 -0.572... [ 2019-11-25 12:33:14,167 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [1558.3726 2044.5441 568.6413 287.8559 1260.1962 65.195564 955.43195 186.13434 ... [ 2019-11-25 12:33:14,167 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_60/Relu [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_6/AvgPool [ 2019-11-25 12:33:14,168 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:14,169 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,169 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,169 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,169 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,169 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,169 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_69/Conv2D [ 2019-11-25 12:33:14,169 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,170 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,170 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,170 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.54075706 -0.66122067 -0.3250887 ... 0.63724774 0.15340726 -0.6752027 ] [-0.24859... [ 2019-11-25 12:33:14,170 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,171 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,171 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,171 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_69/FusedBatchNorm [ 2019-11-25 12:33:14,171 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,171 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,171 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,172 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,174 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.4806352 -0.7902276 -0.23601179 -2.4173033 -1.4602869 -1.0024903 -1.7470835 -0.99495256 ... [ 2019-11-25 12:33:14,175 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ -7.9867096 -8.348171 -3.7409904 21.041492 -14.369412 0.92205155 -9.973486 -9.45... [ 2019-11-25 12:33:14,176 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 94.9407 1259.7716 320.87772 1131.1505 465.7676 510.54126 270.72296 2109.7502 ... [ 2019-11-25 12:33:14,176 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,176 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,176 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_69/Relu [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_61/Conv2D [ 2019-11-25 12:33:14,177 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,178 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,178 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.45861325 0.62939835 0.7073038 ... -0.6428783 -0.60618603 0.63193256] [ 0.34324... [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_61/FusedBatchNorm [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,179 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,181 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,182 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-2.3604248 -0.87815994 -1.1130958 -0.94124997 -0.01801836 -2.4726284 -0.9703241 -0.2474264 ... [ 2019-11-25 12:33:14,184 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 17.009535 7.095002 -15.3386345 23.717407 6.869059 -15.248261 15.00461 -4.46... [ 2019-11-25 12:33:14,185 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [3423.2852 300.73895 898.47437 3068.819 771.0612 1880.3022 1087.6554 181.86961 1... [ 2019-11-25 12:33:14,185 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,185 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,185 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,185 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_61/Relu [ 2019-11-25 12:33:14,185 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,186 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,186 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,186 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,186 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,186 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,186 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_62/Conv2D [ 2019-11-25 12:33:14,186 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,187 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,187 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,188 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 192 192], value = [[[[ 0.22673438 0.4014414 0.12438551 ... 0.6412464 -0.71065634 0.4002234 ] [-0.77934... [ 2019-11-25 12:33:14,188 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,189 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,189 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,189 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_62/FusedBatchNorm [ 2019-11-25 12:33:14,189 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,189 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,189 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,190 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,192 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.23864369 -0.9901937 -0.13436608 -0.23144639 -1.9439162 0.35226274 -0.2776955 0.9812808 ... [ 2019-11-25 12:33:14,193 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 7.7477813 -14.382364 0.13639426 -6.056158 0.05998274 16.384691 21.81665 -3.... [ 2019-11-25 12:33:14,194 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 2107.903 2731.4363 976.50806 331.75943 3310.7231 6743.93 11262.137 1185.6461 2... [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_62/Relu [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_63/Conv2D [ 2019-11-25 12:33:14,195 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,196 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,196 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,198 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 192 192], value = [[[[-0.56046045 -0.15143839 0.7454695 ... -0.61083126 -0.61410403 -0.58223814] [-0.47961... [ 2019-11-25 12:33:14,198 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,198 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,198 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,198 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_63/FusedBatchNorm [ 2019-11-25 12:33:14,198 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,198 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,199 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,200 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,201 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.9980267 -1.6868187 -2.1631753 -1.897603 0.14223891 -1.7312462 -0.6750843 0.73288983 ... [ 2019-11-25 12:33:14,202 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ -3.2748172 -37.119816 -15.642745 -14.779737 41.53136 40.702686 -0.682746 28.806... [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 1174.2739 8246.814 2131.4602 3687.384 11001.618 13797.102 125.32849 5851.326 ... [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_63/Relu [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,204 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,205 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,205 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_64/Conv2D [ 2019-11-25 12:33:14,205 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,205 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,205 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,206 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.7560554 -0.5092385 0.6578845 ... 0.45981178 -0.6328376 -0.57321745] [ 0.620281... [ 2019-11-25 12:33:14,206 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,206 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,206 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,206 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_64/FusedBatchNorm [ 2019-11-25 12:33:14,206 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,206 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,207 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,208 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,209 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.0143694 -1.3737863 -1.4240694 -0.42137247 -1.800388 -2.098274 -0.97616 -0.96159524 ... [ 2019-11-25 12:33:14,210 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-12.22278 -27.487406 19.25965 9.57907 -11.91723 8.099294 15.816745 19.096... [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [2330.5984 3417.5918 1554.6626 976.1547 4440.0327 2549.2734 2924.9912 2643.9773 2259.736... [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_64/Relu [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,212 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,213 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,213 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,213 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_65/Conv2D [ 2019-11-25 12:33:14,213 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,214 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,214 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 192 192], value = [[[[ 0.04192163 0.40036088 -0.62326956 ... 0.4826535 0.30529562 -1.0023309 ] [ 0.44121... [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_65/FusedBatchNorm [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,216 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,218 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,219 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.4195485 -1.7071121 -1.6107229 -1.6544142 -1.4736701 -1.0697949 -1.3011928 -0.14872815 ... [ 2019-11-25 12:33:14,220 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 9.437099 -22.417843 -6.53709 -12.921893 -13.501855 -4.9975724 -17.148067 6.08... [ 2019-11-25 12:33:14,221 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 3139.263 1995.06 1660.8823 737.3264 1888.3097 3114.4731 2153.287 975.4705 ... [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_65/Relu [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_66/Conv2D [ 2019-11-25 12:33:14,222 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,223 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,223 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 192 192], value = [[[[-0.3463437 -0.60177684 0.22222014 ... -0.06887316 0.59666544 0.5856245 ] [-0.39338... [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_66/FusedBatchNorm [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,225 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,227 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,228 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-2.8865552 -0.06894203 -1.0260062 -1.3334259 -1.533467 0.06073421 -0.858097 -2.2065043 ... [ 2019-11-25 12:33:14,229 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 1.54395304e+01 -2.75203872e+00 -6.19772339e+00 9.82747555e+00 4.93379879e+00 -5.32563782e+00... [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 1806.174 1112.0891 2730.4297 1868.0664 1021.7523 907.2832 2923.8005 1450.5206 ... [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_66/Relu [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,231 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,232 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,232 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_67/Conv2D [ 2019-11-25 12:33:14,232 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,232 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,232 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,234 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 192 192], value = [[[[-0.77096575 0.6053841 -0.7388945 ... 0.4398504 0.90332496 -0.589473 ] [-0.59317... [ 2019-11-25 12:33:14,234 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,234 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,234 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,235 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_67/FusedBatchNorm [ 2019-11-25 12:33:14,235 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,235 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,235 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,236 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,237 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.42393762 -1.2381895 -1.7928588 -1.2198328 -0.21338685 -0.0925929 -1.8030692 0.15053692 ... [ 2019-11-25 12:33:14,239 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-10.215454 19.372337 1.4320499 0.37564993 6.637721 0.77951837 -4.4683557 -7.00... [ 2019-11-25 12:33:14,240 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 3685.4995 896.78815 2317.884 1999.6849 1584.3484 1541.8124 1380.718 1878.6031 ... [ 2019-11-25 12:33:14,240 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,240 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,240 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,240 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_67/Relu [ 2019-11-25 12:33:14,240 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,240 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,241 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,241 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,241 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,241 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,241 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_68/Conv2D [ 2019-11-25 12:33:14,241 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,242 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,242 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,243 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 192 192], value = [[[[ 0.5717285 0.08439851 -0.393032 ... -0.58232826 -0.63371694 -0.61354464] [-0.61895... [ 2019-11-25 12:33:14,243 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,244 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,244 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,244 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_68/FusedBatchNorm [ 2019-11-25 12:33:14,244 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,244 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,244 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,245 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,247 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.614866 -2.624781 -0.6208472 -1.3690656 -0.7604356 0.15706465 -1.3962352 -0.6722417 ... [ 2019-11-25 12:33:14,248 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-9.35232639e+00 9.73047256e+00 1.10668240e+01 -9.80646229e+00 1.14875307e+01 1.15410602e+00... [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 2500.7417 6525.05 832.8273 2527.7793 3061.6711 911.76013 7523.214 3151.1943 ... [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_68/Relu [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,250 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed7/concat [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,251 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:130 ] Partial infer for max_pooling2d_3/MaxPool [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:131 ] Op: MaxPool [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,252 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,253 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_70/Conv2D [ 2019-11-25 12:33:14,253 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,253 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,253 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,254 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[-0.38211748 1.1123512 -0.32938084 ... -0.5868647 0.60434234 -0.59240025] [ 0.37557... [ 2019-11-25 12:33:14,254 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,254 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,254 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,254 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_70/FusedBatchNorm [ 2019-11-25 12:33:14,254 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,254 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,255 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,256 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,257 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.63330823 -0.67305356 -1.3321235 -0.42464253 -1.4731255 -1.587303 -1.1298693 -1.5595843 -... [ 2019-11-25 12:33:14,258 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 3.2364655 0.15458763 -3.31616 -2.8131797 -4.6207047 0.35839018 -7.58369 -8.636662 ... [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 408.2374 458.27786 368.228 360.41052 317.85013 207.46815 878.2703 1190.9271 ... [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_70/Relu [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,260 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,261 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,261 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,261 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_71/Conv2D [ 2019-11-25 12:33:14,261 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,261 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,261 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 192 320], value = [[[[ 0.5900763 -0.79230005 -0.6023739 ... 0.17530502 0.595246 -0.6115825 ] [-0.6068761... [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_71/FusedBatchNorm [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,264 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,266 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,268 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [320], value = [-1.31184220e+00 -3.48615050e-01 -1.44082785e+00 -3.30759495e-01 -3.40924501e-01 -1.00040853e+00... [ 2019-11-25 12:33:14,270 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [320], value = [ 0.38219273 -5.2610984 -3.6908634 -4.6752496 -2.8881283 1.5842817 -16.74583 4.2... [ 2019-11-25 12:33:14,272 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [320], value = [ 413.14804 423.4888 969.1089 412.96732 870.58734 1709.0944 13750.283 1394.9847 ... [ 2019-11-25 12:33:14,272 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_71/Relu [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,273 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,274 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_72/Conv2D [ 2019-11-25 12:33:14,274 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,274 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,274 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 768], value = [ 2019-11-25 12:33:14,275 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 768 192], value = [[[[ 0.75782853 -0.59186876 0.54425335 ... -0.05360033 0.582857 0.06181905] [ 0.3103485... [ 2019-11-25 12:33:14,275 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,275 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,275 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,275 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_72/FusedBatchNorm [ 2019-11-25 12:33:14,275 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,276 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,276 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,277 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,278 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-2.28209093e-01 -1.23954356e+00 -9.06532407e-01 6.47007823e-01 -8.57421815e-01 -1.17331851e+00... [ 2019-11-25 12:33:14,280 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [-2.2687538e+00 -3.3128145e+00 -1.1627879e+00 -5.2467084e+00 -6.9568691e+00 -3.8250363e+00 -2.29... [ 2019-11-25 12:33:14,281 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 296.55295 94.15528 486.97928 655.0953 982.80365 251.77463 383.82904 232.01399 ... [ 2019-11-25 12:33:14,281 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,281 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_72/Relu [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_73/Conv2D [ 2019-11-25 12:33:14,282 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,283 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,283 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 7 192 192], value = [[[[-0.5533698 0.6049738 1.2484082 ... -0.6284702 0.65930617 0.61754394] [-0.61195... [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_73/FusedBatchNorm [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,285 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,287 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,288 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.4772431 -1.2815516 -2.089728 -1.0567347 -2.6906354 0.3852435 -0.7327531 -0.19451194 ... [ 2019-11-25 12:33:14,289 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 2.76635399e+01 -2.35456924e+01 1.52334070e+01 -5.24798870e+00 1.52122078e+01 2.10466595e+01... [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 1714.8783 2053.1824 3422.8938 1064.7535 3606.9102 3288.1052 558.5358 623.2677 ... [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_73/Relu [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,291 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,292 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,292 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,292 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_74/Conv2D [ 2019-11-25 12:33:14,292 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,292 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,292 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,294 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 7 1 192 192], value = [[[[-1.0869513 -0.5847688 0.644045 ... -0.6161355 -0.41326964 -0.6281657 ] [ 0.54971... [ 2019-11-25 12:33:14,294 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,294 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,294 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,294 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_74/FusedBatchNorm [ 2019-11-25 12:33:14,295 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,295 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,295 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,296 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,297 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-0.95817965 -1.7756567 2.3708808 -0.5097942 -1.1894015 -2.0580287 -1.5347091 -0.90838337 ... [ 2019-11-25 12:33:14,299 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ -2.8031902 19.50065 -3.766838 -9.923172 -25.91021 -22.444237 -8.826005 45.841... [ 2019-11-25 12:33:14,300 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 1055.0011 2614.147 2238.8862 1404.7532 2268.8413 1389.153 1272.5642 12301.1875 ... [ 2019-11-25 12:33:14,300 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,300 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,300 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,300 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_74/Relu [ 2019-11-25 12:33:14,300 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,300 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,301 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,301 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,301 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,301 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,301 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_75/Conv2D [ 2019-11-25 12:33:14,301 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,302 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,302 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20 28 192], value = [ 2019-11-25 12:33:14,304 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 192 192], value = [[[[ 0.86148953 -0.5363697 -0.19163716 ... -0.6844073 0.3343773 0.6642166 ] [ 0.750482... [ 2019-11-25 12:33:14,304 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,304 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,304 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,304 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_75/FusedBatchNorm [ 2019-11-25 12:33:14,304 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,305 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,305 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,306 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,307 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-2.8570466 -1.3995324 -0.70037585 -1.1438098 0.5647582 0.63788766 -0.38176134 -0.8572137 ... [ 2019-11-25 12:33:14,309 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ 16.142292 -3.1183124 -16.732044 -0.33788696 13.663638 15.264923 -26.083315 34.94... [ 2019-11-25 12:33:14,310 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 6668.507 2971.841 10755.119 375.40738 927.1496 17414.191 2684.9812 6674.8843 ... [ 2019-11-25 12:33:14,310 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,310 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,310 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,310 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_75/Relu [ 2019-11-25 12:33:14,310 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed8/concat [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,311 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 1280], value = [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_76/Conv2D [ 2019-11-25 12:33:14,312 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,313 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,313 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 1280], value = [ 2019-11-25 12:33:14,314 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 1280 320], value = [[[[ 0.63887423 -0.29513314 -0.6052725 ... -0.60697067 -0.58287305 0.57943636] [-0.61177... [ 2019-11-25 12:33:14,314 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,314 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,314 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,314 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_76/FusedBatchNorm [ 2019-11-25 12:33:14,314 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,315 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,315 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,317 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,319 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [320], value = [-1.5695373 -0.24611855 -0.04339725 0.26384488 -0.74083155 -0.29494086 -1.8830119 -1.4547913 ... [ 2019-11-25 12:33:14,321 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [320], value = [ 0.34501874 0.51453173 -10.269291 7.3171215 14.568905 8.619851 -4.146539 -1.74... [ 2019-11-25 12:33:14,323 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [320], value = [ 374.6349 559.2882 1427.5162 1921.4762 4562.1455 6619.3105 1215.9313 952.1717 ... [ 2019-11-25 12:33:14,323 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,323 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,323 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,323 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_76/Relu [ 2019-11-25 12:33:14,323 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_7/AvgPool [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 1280], value = [ 2019-11-25 12:33:14,324 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,325 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 1280], value = [ 2019-11-25 12:33:14,325 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,325 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_84/Conv2D [ 2019-11-25 12:33:14,325 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,325 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,326 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 1280], value = [ 2019-11-25 12:33:14,326 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 1280 192], value = [[[[ 0.6102379 -0.5875045 0.5874309 ... 0.5980122 0.5984301 -0.58530253] [-0.591840... [ 2019-11-25 12:33:14,326 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,326 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,326 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,326 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_84/FusedBatchNorm [ 2019-11-25 12:33:14,326 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,327 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,327 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,328 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,329 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-1.5079814 -1.5401206 -1.2783469 -0.2617427 -0.24424599 -1.4961972 -1.6095654 -1.4183377 ... [ 2019-11-25 12:33:14,331 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ -8.711357 -0.7460876 -7.3374777 -6.586975 -19.658348 -4.83471 15.069153 -4.28... [ 2019-11-25 12:33:14,332 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [ 369.90607 748.6429 1003.655 1073.0995 5517.477 514.9063 3301.441 194.0... [ 2019-11-25 12:33:14,332 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,332 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,332 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,332 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_84/Relu [ 2019-11-25 12:33:14,332 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,333 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,333 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,333 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,333 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,333 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,333 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_77/Conv2D [ 2019-11-25 12:33:14,333 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,334 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,334 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 1280], value = [ 2019-11-25 12:33:14,334 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 1280 384], value = [[[[ 0.5836438 0.588643 -0.61621785 ... 0.62698376 -0.586086 -0.6210445 ] [ 0.5800572... [ 2019-11-25 12:33:14,334 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,335 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,335 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,335 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_77/FusedBatchNorm [ 2019-11-25 12:33:14,335 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,335 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,335 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,337 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,340 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [ 1.25184715e-01 -1.14172173e+00 -7.09129810e-01 -1.39633322e+00 1.16637059e-01 -1.32075715e+00... [ 2019-11-25 12:33:14,343 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-9.67213535e+00 -9.87127876e+00 9.63867188e+00 -5.41490650e+00 -1.05530977e+00 -9.93902111e+00... [ 2019-11-25 12:33:14,345 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 744.7983 182.03769 1749.7002 174.97638 458.32367 1652.5981 1937.5521 1180.3677 ... [ 2019-11-25 12:33:14,345 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,345 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,345 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_77/Relu [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_79/Conv2D [ 2019-11-25 12:33:14,346 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,347 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,347 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,348 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 1 384 384], value = [[[[-0.5857483 -0.624684 0.5750383 ... 0.58178085 -0.60142154 0.592303 ] [-0.62482... [ 2019-11-25 12:33:14,348 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,349 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,349 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,349 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_79/FusedBatchNorm [ 2019-11-25 12:33:14,349 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,349 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,349 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,351 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,354 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-2.0980406 -1.1877569 -1.7925264 -1.0773841 -1.8786052 -1.9224921 -2.3029473 -0.702762 ... [ 2019-11-25 12:33:14,356 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-7.52236271e+00 1.16731472e+01 -1.02178669e+01 5.14450133e-01 -8.23219299e+00 -9.23019028e+00... [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 4656.4688 3769.221 1320.9203 1253.732 392.53293 10718.572 5130.132 2112.31 ... [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_79/Relu [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,359 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,360 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,360 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_78/Conv2D [ 2019-11-25 12:33:14,360 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,360 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,360 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,361 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 3 384 384], value = [[[[ 0.59610265 0.5793301 0.6168807 ... 0.5974179 0.5935409 0.6569034 ] [-0.561683... [ 2019-11-25 12:33:14,361 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,362 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,362 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,362 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_78/FusedBatchNorm [ 2019-11-25 12:33:14,362 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,362 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,362 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,364 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,367 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-0.31821904 -1.9365532 -2.584347 -0.5964983 -2.451188 -1.8550241 -2.2499254 -2.0710578 ... [ 2019-11-25 12:33:14,369 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [ 1.08245106e+01 -7.79293954e-01 1.59750009e+00 7.03462601e-01 -7.05881417e-01 -1.09536781e+01... [ 2019-11-25 12:33:14,372 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 1502.6185 858.8576 4685.0977 714.11115 790.1472 409.02475 300.05563 919.12524... [ 2019-11-25 12:33:14,372 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,372 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,372 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,372 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_78/Relu [ 2019-11-25 12:33:14,372 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,372 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed9_0/concat [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,373 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,374 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,374 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,374 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_80/Conv2D [ 2019-11-25 12:33:14,374 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,374 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,374 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 1280], value = [ 2019-11-25 12:33:14,375 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 1280 448], value = [[[[-0.55759585 -0.6109337 0.5779359 ... 0.62367004 -0.60268307 0.5860347 ] [ 0.56562... [ 2019-11-25 12:33:14,375 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,375 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,375 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,375 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_80/FusedBatchNorm [ 2019-11-25 12:33:14,375 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,375 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,376 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,378 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,381 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [448], value = [-1.7263461e+00 -1.3432022e+00 -1.0252088e+00 -3.7851149e-01 -1.0264335e+00 9.6284170e-03 -1.97... [ 2019-11-25 12:33:14,384 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [448], value = [ -1.8900282 -14.844484 -9.455988 -9.888419 -11.994473 -2.7227561 -3.765987 3.76... [ 2019-11-25 12:33:14,387 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [448], value = [ 1114.7026 3005.4666 1528.3806 1393.8728 2185.7842 648.0184 1885.7242 243.0341 ... [ 2019-11-25 12:33:14,387 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,387 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,387 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,387 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_80/Relu [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_81/Conv2D [ 2019-11-25 12:33:14,388 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,389 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,389 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,391 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 448 384], value = [[[[ 0.00661477 0.5644457 0.7574907 ... 0.3657257 0.638819 -0.5881155 ] [ 0.5862981... [ 2019-11-25 12:33:14,391 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,392 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,392 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,392 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_81/FusedBatchNorm [ 2019-11-25 12:33:14,392 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,392 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,392 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,394 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,397 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-1.4954432 0.08165419 0.05942161 0.7551584 -0.74921393 -1.7554605 -0.93252057 0.04328388 ... [ 2019-11-25 12:33:14,399 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-6.14858770e+00 -1.39302146e+00 4.14720421e+01 -8.03528023e+00 -1.21401978e+01 3.78899117e+01... [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [13143.351 5876.6475 11994.826 4109.276 8980.441 10625.286 9157.961 1923.9487 3... [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_81/Relu [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,402 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,403 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,403 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,403 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_83/Conv2D [ 2019-11-25 12:33:14,403 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,403 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,404 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,404 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 1 384 384], value = [[[[-0.90466076 0.6169307 0.42715982 ... -0.38722104 0.60379034 0.39301202] [-0.54505... [ 2019-11-25 12:33:14,404 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,405 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,405 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,405 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_83/FusedBatchNorm [ 2019-11-25 12:33:14,405 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,405 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,405 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,407 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,410 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-2.1787105 -1.8931812 -1.158095 -0.3624976 -2.0202174 -1.6167119 -1.8598827 -1.810053 ... [ 2019-11-25 12:33:14,412 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-1.28944597e+01 -9.45600808e-01 1.10395651e+01 -1.42577562e+01 -3.95434618e+00 -1.07330017e+01... [ 2019-11-25 12:33:14,415 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 2118.143 1189.7205 3053.8235 879.25464 649.507 928.878 304.41443 1647.2711 ... [ 2019-11-25 12:33:14,415 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,415 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,415 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,415 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_83/Relu [ 2019-11-25 12:33:14,415 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,416 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,416 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,416 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,416 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,416 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,416 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_82/Conv2D [ 2019-11-25 12:33:14,416 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,417 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,417 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 3 384 384], value = [[[[ 0.8614742 -0.592913 -0.61195284 ... 0.6700647 0.7386962 0.5823674 ] [ 0.660896... [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_82/FusedBatchNorm [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,418 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,421 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,423 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-1.9212896 -0.71646863 -0.6944274 -1.5496241 -1.2478662 -1.5646245 -3.0070958 -1.7054385 ... [ 2019-11-25 12:33:14,426 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [ -3.7163637 -12.259988 -9.703028 19.300625 20.040792 -5.155726 5.180849 -17.69... [ 2019-11-25 12:33:14,428 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 770.99774 479.82727 945.94684 3485.2617 1088.1675 2636.4065 1043.3479 7327.4233 ... [ 2019-11-25 12:33:14,428 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,428 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,428 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,428 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_82/Relu [ 2019-11-25 12:33:14,428 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:130 ] Partial infer for concatenate/concat [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,429 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,430 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,430 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,430 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,430 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,430 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed9/concat [ 2019-11-25 12:33:14,430 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,430 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_85/Conv2D [ 2019-11-25 12:33:14,431 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,432 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,432 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,432 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 2048 320], value = [[[[ 0.5771574 0.5987603 -0.5843473 ... -0.58435714 0.60457367 0.5931432 ] [ 0.59072... [ 2019-11-25 12:33:14,432 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,433 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,433 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,433 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_85/FusedBatchNorm [ 2019-11-25 12:33:14,433 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,433 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,433 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,435 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [320], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,437 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [320], value = [-2.2582676 -1.5871732 -0.88645846 -1.2772689 -0.78811973 -0.9710662 -0.75098735 -1.5080069 ... [ 2019-11-25 12:33:14,439 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [320], value = [-13.08442 -13.217874 -2.5265193 -8.218045 -7.076345 -3.6405873 -2.5894725 -9.14... [ 2019-11-25 12:33:14,441 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [320], value = [23687.744 21807.174 4179.438 13484.423 2786.4631 1752.9197 7736.9067 9779.673 ... [ 2019-11-25 12:33:14,441 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,441 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_85/Relu [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:130 ] Partial infer for average_pooling2d_8/AvgPool [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:131 ] Op: AvgPool [ 2019-11-25 12:33:14,442 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,443 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,443 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,443 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,443 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,443 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_93/Conv2D [ 2019-11-25 12:33:14,443 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,444 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,444 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,444 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 2048 192], value = [[[[ 0.59435916 0.59434587 -0.57679886 ... 0.5029964 -0.599323 0.54262125] [-0.5840249... [ 2019-11-25 12:33:14,444 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,444 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,444 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,444 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_93/FusedBatchNorm [ 2019-11-25 12:33:14,445 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,445 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,445 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,446 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [192], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,447 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [192], value = [-3.895578 -0.79369247 -0.74636513 -1.400258 -0.88298494 -1.5983043 -1.6840012 -1.3736472 ... [ 2019-11-25 12:33:14,449 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [192], value = [ -9.972821 -13.21741 -5.034607 -12.75564 -7.3792944 7.391784 12.839257 -14.3... [ 2019-11-25 12:33:14,450 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [192], value = [11577.044 18990.174 6123.516 10624.03 5519.6226 23129.674 14351.903 20683.246 ... [ 2019-11-25 12:33:14,450 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_93/Relu [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_86/Conv2D [ 2019-11-25 12:33:14,451 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,452 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,452 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 2048 384], value = [[[[ 0.558849 -0.58756316 0.577527 ... 0.59546214 -0.58747876 0.5889646 ] [ 0.60234... [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_86/FusedBatchNorm [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,453 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,455 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,458 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-1.4845879 -0.54373515 -1.3531129 -2.229337 -0.6219588 -2.2277417 -1.4331374 -2.1371856 ... [ 2019-11-25 12:33:14,460 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [ -2.8397977 -2.0458715 -7.2574615 -2.6371994 -4.484473 -10.056823 -14.227751 -7.78... [ 2019-11-25 12:33:14,463 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 1676.7114 2799.1719 3408.4045 1718.4492 1356.5608 6340.7266 45774.72 4545.095 ... [ 2019-11-25 12:33:14,463 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,463 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,463 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_86/Relu [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_88/Conv2D [ 2019-11-25 12:33:14,464 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,465 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,465 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,466 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 1 384 384], value = [[[[-0.02181326 0.45418093 0.44257176 ... -0.7346285 -0.8367388 1.2246397 ] [ 0.543954... [ 2019-11-25 12:33:14,466 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,466 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,466 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,467 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_88/FusedBatchNorm [ 2019-11-25 12:33:14,467 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,467 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,467 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,469 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,471 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-0.6138177 -2.0657563 -1.0576671 -0.65428823 -1.5850743 -2.4918592 -0.8363624 -1.2199615 ... [ 2019-11-25 12:33:14,474 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-0.5070167 -2.1847913 -0.76742834 -0.86832464 -0.84827 -1.2744484 -1.0480878 -1.6065893 ... [ 2019-11-25 12:33:14,476 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 474.7053 2725.9949 649.61865 703.21106 1472.325 2337.5042 513.6464 1682.009 ... [ 2019-11-25 12:33:14,476 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_88/Relu [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_87/Conv2D [ 2019-11-25 12:33:14,477 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,478 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,478 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,479 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 3 384 384], value = [[[[ 0.02902499 -0.6498338 0.52392197 ... -0.80067444 0.5024299 0.22355427] [ 0.603718... [ 2019-11-25 12:33:14,479 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,479 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,479 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,479 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_87/FusedBatchNorm [ 2019-11-25 12:33:14,479 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,480 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,480 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,482 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,484 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-0.440578 -0.9924826 -1.4072632 -0.609297 -0.97456163 -0.8621638 -0.7731618 -0.7030162 ... [ 2019-11-25 12:33:14,487 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-0.9704137 -1.2669607 -1.0534958 -0.19322376 -1.5744635 -1.124727 -0.82407576 -0.3778007 -... [ 2019-11-25 12:33:14,489 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [1028.4784 703.74396 1286.4197 253.16039 1133.4487 996.7517 907.51263 287.31256 549.446... [ 2019-11-25 12:33:14,489 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_87/Relu [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed9_1/concat [ 2019-11-25 12:33:14,490 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_89/Conv2D [ 2019-11-25 12:33:14,491 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,492 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,492 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 1 2048 448], value = [[[[ 0.60478514 -0.6042652 -0.6080724 ... -0.5971656 0.5643722 -0.5730304 ] [ 0.562669... [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_89/FusedBatchNorm [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,493 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,496 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [448], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,499 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [448], value = [-1.7908535 -0.81909245 -1.8913902 -1.629286 -1.5941573 -1.5331403 -2.1436036 -1.8434482 ... [ 2019-11-25 12:33:14,502 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [448], value = [ 2.45181632e+00 -6.97550964e+00 -2.97201562e+00 8.31507802e-01 4.06043625e+00 -1.47398341e+00... [ 2019-11-25 12:33:14,505 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [448], value = [ 2958.583 2418.974 10546.24 1196.4454 2630.8105 2462.0654 16268.653 11979.562 ... [ 2019-11-25 12:33:14,505 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,505 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,505 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,505 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_89/Relu [ 2019-11-25 12:33:14,505 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,505 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,506 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,506 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,506 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,506 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,506 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_90/Conv2D [ 2019-11-25 12:33:14,506 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,507 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,507 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 448], value = [ 2019-11-25 12:33:14,509 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 3 448 384], value = [[[[ 0.1456829 -0.6392745 0.6580291 ... -0.80836886 -0.5103119 -0.6209563 ] [ 0.801046... [ 2019-11-25 12:33:14,509 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,509 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,510 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,510 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_90/FusedBatchNorm [ 2019-11-25 12:33:14,510 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,510 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,510 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,512 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,515 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-0.36793298 -0.57075113 -1.6248045 -0.831416 -1.2478929 -0.78619766 -1.5521696 -1.2012659 ... [ 2019-11-25 12:33:14,517 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [ 8.04963303e+00 -1.07609863e+01 2.48804402e+00 -1.17361689e+01 -7.04184437e+00 -1.85216599e+01... [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 5291.448 3584.5256 3434.0476 4809.779 926.6862 21487.568 2429.82 8300.929 ... [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_90/Relu [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,520 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,521 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,521 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,521 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,521 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_92/Conv2D [ 2019-11-25 12:33:14,521 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,521 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,522 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 3 1 384 384], value = [[[[ 0.40816903 -0.65064627 -0.81617886 ... -0.6606778 0.3470721 0.2985333 ] [-0.640473... [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_92/FusedBatchNorm [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,523 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,526 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,528 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-0.7999738 -0.656106 -0.663979 -0.6457278 -0.61390215 -1.2515123 -1.1360586 -1.7300746 ... [ 2019-11-25 12:33:14,531 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-1.72284298e+01 -1.11065712e+01 -7.27165127e+00 -3.77253962e+00 -8.86828423e+00 -1.57008934e+01... [ 2019-11-25 12:33:14,533 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 1184.5345 798.5334 1121.9683 815.1697 3019.4688 4026.7092 6546.261 5327.2817 ... [ 2019-11-25 12:33:14,533 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_92/Relu [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,534 ] [ DEBUG ] [ infer:130 ] Partial infer for conv2d_91/Conv2D [ 2019-11-25 12:33:14,535 ] [ DEBUG ] [ infer:131 ] Op: Conv2D [ 2019-11-25 12:33:14,535 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,535 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,536 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 3 384 384], value = [[[[-0.6749735 -0.93706876 0.58452034 ... 0.55239034 -0.75449276 0.59871376] [-0.59893... [ 2019-11-25 12:33:14,536 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,536 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,537 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,537 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_91/FusedBatchNorm [ 2019-11-25 12:33:14,537 ] [ DEBUG ] [ infer:131 ] Op: FusedBatchNorm [ 2019-11-25 12:33:14,537 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,537 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,539 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [384], value = [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.... [ 2019-11-25 12:33:14,542 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [384], value = [-1.0951167 -1.6588347 -0.62047416 -1.5616425 -1.6865035 -0.5901303 -1.1870579 -0.66938025 ... [ 2019-11-25 12:33:14,544 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [384], value = [-1.17887583e+01 -1.66121368e+01 -1.57084990e+01 -2.03848457e+01 -3.54658651e+00 -1.06237049e+01... [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:32 ] input[4]: shape = [384], value = [ 841.3667 7000.01 1212.0831 554.70435 4178.7773 1275.6471 2718.507 1668.5819 ... [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_91/Relu [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,547 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:130 ] Partial infer for concatenate_1/concat [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 9 13 384], value = [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:130 ] Partial infer for mixed10/concat [ 2019-11-25 12:33:14,548 ] [ DEBUG ] [ infer:131 ] Op: ConcatV2 [ 2019-11-25 12:33:14,549 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,549 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 320], value = [ 2019-11-25 12:33:14,549 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,549 ] [ DEBUG ] [ infer:32 ] input[2]: shape = [ 1 9 13 768], value = [ 2019-11-25 12:33:14,549 ] [ DEBUG ] [ infer:32 ] input[3]: shape = [ 1 9 13 192], value = [ 2019-11-25 12:33:14,549 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,549 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:130 ] Partial infer for flatten/Reshape [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:131 ] Op: Reshape [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 9 13 2048], value = [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [2], value = [ 0 -1] [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,550 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 239616], value = [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ infer:130 ] Partial infer for dense/MatMul [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ infer:131 ] Op: MatMul [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ matmul:30 ] matmul shapes: [array([ 1, 239616]), array([239616, 32])] [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ matmul:63 ] shape_tuple: (array([1]), array([32])) [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ matmul:66 ] matmul shape: [ 1 32] [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,551 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 239616], value = [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [239616 32], value = [[-0.78977716 0.5989337 0.56365955 ... 0.5615635 0.6162688 -0.591427 ] [-0.7133844 0.... [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:130 ] Partial infer for dense/BiasAdd [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:131 ] Op: Add [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,552 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,553 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [-1.1922582e-03 -4.1456131e-04 6.1448780e-04 -2.3196612e-03 7.5739139e-04 -1.0851265e-03 1.36... [ 2019-11-25 12:33:14,553 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,553 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,553 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,553 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_94/Relu [ 2019-11-25 12:33:14,553 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,553 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/mul_1 [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:131 ] Op: Mul [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,554 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,555 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [-2.4185139e-05 1.6454663e-04 2.0409925e-04 -5.3482526e-04 1.1293233e-04 3.6224606e-04 -3.82... [ 2019-11-25 12:33:14,555 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,555 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,555 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,555 ] [ DEBUG ] [ infer:130 ] Partial infer for batch_normalization_94/batchnorm/add_1 [ 2019-11-25 12:33:14,555 ] [ DEBUG ] [ infer:131 ] Op: Add [ 2019-11-25 12:33:14,555 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32], value = [-1.9211629e-02 -7.2390311e-03 1.0492925e-02 -8.2746930e-03 5.5256910e-03 -5.8607088e-04 -1.19... [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:130 ] Partial infer for dropout/Identity [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:131 ] Op: Identity [ 2019-11-25 12:33:14,556 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ infer:130 ] Partial infer for dense_1/MatMul [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ infer:131 ] Op: MatMul [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ matmul:30 ] matmul shapes: [array([ 1, 32]), array([32, 16])] [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ matmul:63 ] shape_tuple: (array([1]), array([16])) [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ matmul:66 ] matmul shape: [ 1 16] [ 2019-11-25 12:33:14,557 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,558 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 32], value = [ 2019-11-25 12:33:14,561 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [32 16], value = [[-5.54570556e-02 2.03553990e-01 -1.53441861e-01 3.27129252e-02 -5.27309999e-03 -1.29391313e-... [ 2019-11-25 12:33:14,561 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,561 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 16], value = [ 2019-11-25 12:33:14,561 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,561 ] [ DEBUG ] [ infer:130 ] Partial infer for dense_1/BiasAdd [ 2019-11-25 12:33:14,561 ] [ DEBUG ] [ infer:131 ] Op: Add [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 16], value = [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [16], value = [ 0.00157677 0.00409005 -0.01768776 -0.00829388 0.00576262 -0.01408078 -0.01083862 -0.00057901... [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 16], value = [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:130 ] Partial infer for activation_95/Relu [ 2019-11-25 12:33:14,562 ] [ DEBUG ] [ infer:131 ] Op: ReLU [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 16], value = [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 16], value = [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/MatMul [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ infer:131 ] Op: MatMul [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ matmul:30 ] matmul shapes: [array([ 1, 16]), array([16, 20])] [ 2019-11-25 12:33:14,563 ] [ DEBUG ] [ matmul:63 ] shape_tuple: (array([1]), array([20])) [ 2019-11-25 12:33:14,564 ] [ DEBUG ] [ matmul:66 ] matmul shape: [ 1 20] [ 2019-11-25 12:33:14,564 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,564 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 16], value = [ 2019-11-25 12:33:14,566 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [16 20], value = [[-0.12534949 -0.11875605 0.10180242 -0.02666565 -0.07168168 0.16015922 0.43393272 0.777862... [ 2019-11-25 12:33:14,566 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,566 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20], value = [ 2019-11-25 12:33:14,567 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,567 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/BiasAdd [ 2019-11-25 12:33:14,567 ] [ DEBUG ] [ infer:131 ] Op: Add [ 2019-11-25 12:33:14,567 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,567 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20], value = [ 2019-11-25 12:33:14,567 ] [ DEBUG ] [ infer:32 ] input[1]: shape = [20], value = [0.3403817 0.39151627 0.42512995 0.46717694 0.4960701 0.9962004 1.0297614 1.0687846 1.109243... [ 2019-11-25 12:33:14,567 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20], value = [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/Tanh [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:131 ] Op: Tanh [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20], value = [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:32 ] output[0]: shape = [ 1 20], value = [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:129 ] -------------------- [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:130 ] Partial infer for predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:131 ] Op: Result [ 2019-11-25 12:33:14,568 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-11-25 12:33:14,569 ] [ DEBUG ] [ infer:32 ] input[0]: shape = [ 1 20], value = [ 2019-11-25 12:33:14,569 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-11-25 12:33:14,598 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:14,664 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:14,742 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:14,772 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:14,808 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:14,838 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:14,916 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,004 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,082 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,160 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-11-25 12:33:15,205 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,205 ] [ DEBUG ] [ DeleteNotExecutable:41 ] Removing the following not executable nodes: [ 2019-11-25 12:33:15,213 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:15,351 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 1617 1619 1627 batch_normalization/Const batch_normalization/FusedBatchNorm/ReadVariableOp batch_normalization/FusedBatchNorm/ReadVariableOp_1 batch_normalization/ReadVariableOp batch_normalization/beta batch_normalization/moving_mean batch_normalization/moving_variance batch_normalization_1/Const batch_normalization_1/FusedBatchNorm/ReadVariableOp batch_normalization_1/FusedBatchNorm/ReadVariableOp_1 batch_normalization_1/ReadVariableOp batch_normalization_1/beta batch_normalization_1/moving_mean batch_normalization_1/moving_variance batch_normalization_10/Const batch_normalization_10/FusedBatchNorm/ReadVariableOp batch_normalization_10/FusedBatchNorm/ReadVariableOp_1 batch_normalization_10/ReadVariableOp batch_normalization_10/beta batch_normalization_10/moving_mean batch_normalization_10/moving_variance batch_normalization_11/Const batch_normalization_11/FusedBatchNorm/ReadVariableOp batch_normalization_11/FusedBatchNorm/ReadVariableOp_1 batch_normalization_11/ReadVariableOp batch_normalization_11/beta batch_normalization_11/moving_mean batch_normalization_11/moving_variance batch_normalization_12/Const batch_normalization_12/FusedBatchNorm/ReadVariableOp batch_normalization_12/FusedBatchNorm/ReadVariableOp_1 batch_normalization_12/ReadVariableOp batch_normalization_12/beta batch_normalization_12/moving_mean batch_normalization_12/moving_variance batch_normalization_13/Const batch_normalization_13/FusedBatchNorm/ReadVariableOp batch_normalization_13/FusedBatchNorm/ReadVariableOp_1 batch_normalization_13/ReadVariableOp batch_normalization_13/beta batch_normalization_13/moving_mean batch_normalization_13/moving_variance batch_normalization_14/Const batch_normalization_14/FusedBatchNorm/ReadVariableOp batch_normalization_14/FusedBatchNorm/ReadVariableOp_1 batch_normalization_14/ReadVariableOp batch_normalization_14/beta batch_normalization_14/moving_mean batch_normalization_14/moving_variance batch_normalization_15/Const batch_normalization_15/FusedBatchNorm/ReadVariableOp batch_normalization_15/FusedBatchNorm/ReadVariableOp_1 batch_normalization_15/ReadVariableOp batch_normalization_15/beta batch_normalization_15/moving_mean batch_normalization_15/moving_variance batch_normalization_16/Const 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batch_normalization_22/FusedBatchNorm/ReadVariableOp batch_normalization_22/FusedBatchNorm/ReadVariableOp_1 batch_normalization_22/ReadVariableOp batch_normalization_22/beta batch_normalization_22/moving_mean batch_normalization_22/moving_variance batch_normalization_23/Const batch_normalization_23/FusedBatchNorm/ReadVariableOp batch_normalization_23/FusedBatchNorm/ReadVariableOp_1 batch_normalization_23/ReadVariableOp batch_normalization_23/beta batch_normalization_23/moving_mean batch_normalization_23/moving_variance batch_normalization_24/Const batch_normalization_24/FusedBatchNorm/ReadVariableOp batch_normalization_24/FusedBatchNorm/ReadVariableOp_1 batch_normalization_24/ReadVariableOp batch_normalization_24/beta batch_normalization_24/moving_mean batch_normalization_24/moving_variance batch_normalization_25/Const batch_normalization_25/FusedBatchNorm/ReadVariableOp batch_normalization_25/FusedBatchNorm/ReadVariableOp_1 batch_normalization_25/ReadVariableOp batch_normalization_25/beta batch_normalization_25/moving_mean batch_normalization_25/moving_variance batch_normalization_26/Const batch_normalization_26/FusedBatchNorm/ReadVariableOp batch_normalization_26/FusedBatchNorm/ReadVariableOp_1 batch_normalization_26/ReadVariableOp batch_normalization_26/beta batch_normalization_26/moving_mean batch_normalization_26/moving_variance batch_normalization_27/Const batch_normalization_27/FusedBatchNorm/ReadVariableOp batch_normalization_27/FusedBatchNorm/ReadVariableOp_1 batch_normalization_27/ReadVariableOp batch_normalization_27/beta batch_normalization_27/moving_mean batch_normalization_27/moving_variance batch_normalization_28/Const batch_normalization_28/FusedBatchNorm/ReadVariableOp batch_normalization_28/FusedBatchNorm/ReadVariableOp_1 batch_normalization_28/ReadVariableOp batch_normalization_28/beta batch_normalization_28/moving_mean batch_normalization_28/moving_variance batch_normalization_29/Const 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batch_normalization_31/moving_mean batch_normalization_31/moving_variance batch_normalization_32/Const batch_normalization_32/FusedBatchNorm/ReadVariableOp batch_normalization_32/FusedBatchNorm/ReadVariableOp_1 batch_normalization_32/ReadVariableOp batch_normalization_32/beta batch_normalization_32/moving_mean batch_normalization_32/moving_variance batch_normalization_33/Const batch_normalization_33/FusedBatchNorm/ReadVariableOp batch_normalization_33/FusedBatchNorm/ReadVariableOp_1 batch_normalization_33/ReadVariableOp batch_normalization_33/beta batch_normalization_33/moving_mean batch_normalization_33/moving_variance batch_normalization_34/Const batch_normalization_34/FusedBatchNorm/ReadVariableOp batch_normalization_34/FusedBatchNorm/ReadVariableOp_1 batch_normalization_34/ReadVariableOp batch_normalization_34/beta batch_normalization_34/moving_mean batch_normalization_34/moving_variance batch_normalization_35/Const batch_normalization_35/FusedBatchNorm/ReadVariableOp batch_normalization_35/FusedBatchNorm/ReadVariableOp_1 batch_normalization_35/ReadVariableOp batch_normalization_35/beta batch_normalization_35/moving_mean batch_normalization_35/moving_variance batch_normalization_36/Const batch_normalization_36/FusedBatchNorm/ReadVariableOp batch_normalization_36/FusedBatchNorm/ReadVariableOp_1 batch_normalization_36/ReadVariableOp batch_normalization_36/beta batch_normalization_36/moving_mean batch_normalization_36/moving_variance batch_normalization_37/Const batch_normalization_37/FusedBatchNorm/ReadVariableOp batch_normalization_37/FusedBatchNorm/ReadVariableOp_1 batch_normalization_37/ReadVariableOp batch_normalization_37/beta batch_normalization_37/moving_mean batch_normalization_37/moving_variance batch_normalization_38/Const batch_normalization_38/FusedBatchNorm/ReadVariableOp batch_normalization_38/FusedBatchNorm/ReadVariableOp_1 batch_normalization_38/ReadVariableOp batch_normalization_38/beta batch_normalization_38/moving_mean batch_normalization_38/moving_variance batch_normalization_39/Const batch_normalization_39/FusedBatchNorm/ReadVariableOp batch_normalization_39/FusedBatchNorm/ReadVariableOp_1 batch_normalization_39/ReadVariableOp batch_normalization_39/beta batch_normalization_39/moving_mean batch_normalization_39/moving_variance batch_normalization_4/Const batch_normalization_4/FusedBatchNorm/ReadVariableOp batch_normalization_4/FusedBatchNorm/ReadVariableOp_1 batch_normalization_4/ReadVariableOp batch_normalization_4/beta batch_normalization_4/moving_mean batch_normalization_4/moving_variance batch_normalization_40/Const batch_normalization_40/FusedBatchNorm/ReadVariableOp batch_normalization_40/FusedBatchNorm/ReadVariableOp_1 batch_normalization_40/ReadVariableOp batch_normalization_40/beta batch_normalization_40/moving_mean batch_normalization_40/moving_variance batch_normalization_41/Const batch_normalization_41/FusedBatchNorm/ReadVariableOp batch_normalization_41/FusedBatchNorm/ReadVariableOp_1 batch_normalization_41/ReadVariableOp batch_normalization_41/beta batch_normalization_41/moving_mean batch_normalization_41/moving_variance batch_normalization_42/Const batch_normalization_42/FusedBatchNorm/ReadVariableOp batch_normalization_42/FusedBatchNorm/ReadVariableOp_1 batch_normalization_42/ReadVariableOp batch_normalization_42/beta batch_normalization_42/moving_mean batch_normalization_42/moving_variance batch_normalization_43/Const batch_normalization_43/FusedBatchNorm/ReadVariableOp batch_normalization_43/FusedBatchNorm/ReadVariableOp_1 batch_normalization_43/ReadVariableOp batch_normalization_43/beta batch_normalization_43/moving_mean batch_normalization_43/moving_variance batch_normalization_44/Const batch_normalization_44/FusedBatchNorm/ReadVariableOp batch_normalization_44/FusedBatchNorm/ReadVariableOp_1 batch_normalization_44/ReadVariableOp batch_normalization_44/beta batch_normalization_44/moving_mean batch_normalization_44/moving_variance batch_normalization_45/Const batch_normalization_45/FusedBatchNorm/ReadVariableOp batch_normalization_45/FusedBatchNorm/ReadVariableOp_1 batch_normalization_45/ReadVariableOp batch_normalization_45/beta batch_normalization_45/moving_mean batch_normalization_45/moving_variance batch_normalization_46/Const batch_normalization_46/FusedBatchNorm/ReadVariableOp batch_normalization_46/FusedBatchNorm/ReadVariableOp_1 batch_normalization_46/ReadVariableOp batch_normalization_46/beta batch_normalization_46/moving_mean batch_normalization_46/moving_variance batch_normalization_47/Const batch_normalization_47/FusedBatchNorm/ReadVariableOp batch_normalization_47/FusedBatchNorm/ReadVariableOp_1 batch_normalization_47/ReadVariableOp batch_normalization_47/beta batch_normalization_47/moving_mean batch_normalization_47/moving_variance batch_normalization_48/Const batch_normalization_48/FusedBatchNorm/ReadVariableOp batch_normalization_48/FusedBatchNorm/ReadVariableOp_1 batch_normalization_48/ReadVariableOp batch_normalization_48/beta batch_normalization_48/moving_mean batch_normalization_48/moving_variance batch_normalization_49/Const batch_normalization_49/FusedBatchNorm/ReadVariableOp batch_normalization_49/FusedBatchNorm/ReadVariableOp_1 batch_normalization_49/ReadVariableOp batch_normalization_49/beta batch_normalization_49/moving_mean batch_normalization_49/moving_variance batch_normalization_5/Const batch_normalization_5/FusedBatchNorm/ReadVariableOp batch_normalization_5/FusedBatchNorm/ReadVariableOp_1 batch_normalization_5/ReadVariableOp batch_normalization_5/beta batch_normalization_5/moving_mean batch_normalization_5/moving_variance batch_normalization_50/Const batch_normalization_50/FusedBatchNorm/ReadVariableOp batch_normalization_50/FusedBatchNorm/ReadVariableOp_1 batch_normalization_50/ReadVariableOp batch_normalization_50/beta batch_normalization_50/moving_mean batch_normalization_50/moving_variance batch_normalization_51/Const batch_normalization_51/FusedBatchNorm/ReadVariableOp batch_normalization_51/FusedBatchNorm/ReadVariableOp_1 batch_normalization_51/ReadVariableOp batch_normalization_51/beta batch_normalization_51/moving_mean batch_normalization_51/moving_variance batch_normalization_52/Const batch_normalization_52/FusedBatchNorm/ReadVariableOp batch_normalization_52/FusedBatchNorm/ReadVariableOp_1 batch_normalization_52/ReadVariableOp batch_normalization_52/beta batch_normalization_52/moving_mean batch_normalization_52/moving_variance batch_normalization_53/Const batch_normalization_53/FusedBatchNorm/ReadVariableOp batch_normalization_53/FusedBatchNorm/ReadVariableOp_1 batch_normalization_53/ReadVariableOp batch_normalization_53/beta batch_normalization_53/moving_mean batch_normalization_53/moving_variance batch_normalization_54/Const batch_normalization_54/FusedBatchNorm/ReadVariableOp batch_normalization_54/FusedBatchNorm/ReadVariableOp_1 batch_normalization_54/ReadVariableOp batch_normalization_54/beta batch_normalization_54/moving_mean batch_normalization_54/moving_variance batch_normalization_55/Const batch_normalization_55/FusedBatchNorm/ReadVariableOp batch_normalization_55/FusedBatchNorm/ReadVariableOp_1 batch_normalization_55/ReadVariableOp batch_normalization_55/beta batch_normalization_55/moving_mean batch_normalization_55/moving_variance batch_normalization_56/Const batch_normalization_56/FusedBatchNorm/ReadVariableOp batch_normalization_56/FusedBatchNorm/ReadVariableOp_1 batch_normalization_56/ReadVariableOp batch_normalization_56/beta batch_normalization_56/moving_mean batch_normalization_56/moving_variance batch_normalization_57/Const batch_normalization_57/FusedBatchNorm/ReadVariableOp batch_normalization_57/FusedBatchNorm/ReadVariableOp_1 batch_normalization_57/ReadVariableOp batch_normalization_57/beta batch_normalization_57/moving_mean batch_normalization_57/moving_variance batch_normalization_58/Const batch_normalization_58/FusedBatchNorm/ReadVariableOp batch_normalization_58/FusedBatchNorm/ReadVariableOp_1 batch_normalization_58/ReadVariableOp batch_normalization_58/beta batch_normalization_58/moving_mean batch_normalization_58/moving_variance batch_normalization_59/Const batch_normalization_59/FusedBatchNorm/ReadVariableOp batch_normalization_59/FusedBatchNorm/ReadVariableOp_1 batch_normalization_59/ReadVariableOp batch_normalization_59/beta batch_normalization_59/moving_mean batch_normalization_59/moving_variance batch_normalization_6/Const batch_normalization_6/FusedBatchNorm/ReadVariableOp batch_normalization_6/FusedBatchNorm/ReadVariableOp_1 batch_normalization_6/ReadVariableOp batch_normalization_6/beta batch_normalization_6/moving_mean batch_normalization_6/moving_variance batch_normalization_60/Const batch_normalization_60/FusedBatchNorm/ReadVariableOp batch_normalization_60/FusedBatchNorm/ReadVariableOp_1 batch_normalization_60/ReadVariableOp batch_normalization_60/beta 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batch_normalization_9/moving_mean batch_normalization_9/moving_variance batch_normalization_90/Const batch_normalization_90/FusedBatchNorm/ReadVariableOp batch_normalization_90/FusedBatchNorm/ReadVariableOp_1 batch_normalization_90/ReadVariableOp batch_normalization_90/beta batch_normalization_90/moving_mean batch_normalization_90/moving_variance batch_normalization_91/Const batch_normalization_91/FusedBatchNorm/ReadVariableOp batch_normalization_91/FusedBatchNorm/ReadVariableOp_1 batch_normalization_91/ReadVariableOp batch_normalization_91/beta batch_normalization_91/moving_mean batch_normalization_91/moving_variance batch_normalization_92/Const batch_normalization_92/FusedBatchNorm/ReadVariableOp batch_normalization_92/FusedBatchNorm/ReadVariableOp_1 batch_normalization_92/ReadVariableOp batch_normalization_92/beta batch_normalization_92/moving_mean batch_normalization_92/moving_variance batch_normalization_93/Const batch_normalization_93/FusedBatchNorm/ReadVariableOp batch_normalization_93/FusedBatchNorm/ReadVariableOp_1 batch_normalization_93/ReadVariableOp batch_normalization_93/beta batch_normalization_93/moving_mean batch_normalization_93/moving_variance batch_normalization_94/batchnorm/ReadVariableOp batch_normalization_94/batchnorm/ReadVariableOp_1 batch_normalization_94/batchnorm/ReadVariableOp_2 batch_normalization_94/batchnorm/Rsqrt/pow_ batch_normalization_94/batchnorm/add batch_normalization_94/batchnorm/add/y batch_normalization_94/batchnorm/mul batch_normalization_94/batchnorm/mul/ReadVariableOp batch_normalization_94/batchnorm/mul_2 batch_normalization_94/batchnorm/sub/add_ batch_normalization_94/batchnorm/sub/negate_ batch_normalization_94/beta batch_normalization_94/gamma batch_normalization_94/moving_mean batch_normalization_94/moving_variance concatenate/concat/axis concatenate/concat/axis/Output_0/Data_ concatenate_1/concat/axis concatenate_1/concat/axis/Output_0/Data_ conv2d/Conv2D/ReadVariableOp conv2d/kernel conv2d_1/Conv2D/ReadVariableOp conv2d_1/kernel conv2d_10/Conv2D/ReadVariableOp conv2d_10/kernel conv2d_11/Conv2D/ReadVariableOp conv2d_11/kernel conv2d_12/Conv2D/ReadVariableOp conv2d_12/kernel conv2d_13/Conv2D/ReadVariableOp conv2d_13/kernel conv2d_14/Conv2D/ReadVariableOp conv2d_14/kernel conv2d_15/Conv2D/ReadVariableOp conv2d_15/kernel conv2d_16/Conv2D/ReadVariableOp conv2d_16/kernel conv2d_17/Conv2D/ReadVariableOp conv2d_17/kernel conv2d_18/Conv2D/ReadVariableOp conv2d_18/kernel conv2d_19/Conv2D/ReadVariableOp conv2d_19/kernel conv2d_2/Conv2D/ReadVariableOp conv2d_2/kernel conv2d_20/Conv2D/ReadVariableOp conv2d_20/kernel conv2d_21/Conv2D/ReadVariableOp conv2d_21/kernel conv2d_22/Conv2D/ReadVariableOp conv2d_22/kernel conv2d_23/Conv2D/ReadVariableOp conv2d_23/kernel conv2d_24/Conv2D/ReadVariableOp conv2d_24/kernel conv2d_25/Conv2D/ReadVariableOp conv2d_25/kernel conv2d_26/Conv2D/ReadVariableOp conv2d_26/kernel conv2d_27/Conv2D/ReadVariableOp conv2d_27/kernel conv2d_28/Conv2D/ReadVariableOp conv2d_28/kernel conv2d_29/Conv2D/ReadVariableOp conv2d_29/kernel conv2d_3/Conv2D/ReadVariableOp conv2d_3/kernel conv2d_30/Conv2D/ReadVariableOp conv2d_30/kernel conv2d_31/Conv2D/ReadVariableOp conv2d_31/kernel conv2d_32/Conv2D/ReadVariableOp conv2d_32/kernel conv2d_33/Conv2D/ReadVariableOp conv2d_33/kernel conv2d_34/Conv2D/ReadVariableOp conv2d_34/kernel conv2d_35/Conv2D/ReadVariableOp conv2d_35/kernel conv2d_36/Conv2D/ReadVariableOp conv2d_36/kernel conv2d_37/Conv2D/ReadVariableOp conv2d_37/kernel conv2d_38/Conv2D/ReadVariableOp conv2d_38/kernel conv2d_39/Conv2D/ReadVariableOp conv2d_39/kernel conv2d_4/Conv2D/ReadVariableOp conv2d_4/kernel conv2d_40/Conv2D/ReadVariableOp conv2d_40/kernel conv2d_41/Conv2D/ReadVariableOp conv2d_41/kernel conv2d_42/Conv2D/ReadVariableOp conv2d_42/kernel conv2d_43/Conv2D/ReadVariableOp conv2d_43/kernel conv2d_44/Conv2D/ReadVariableOp conv2d_44/kernel conv2d_45/Conv2D/ReadVariableOp conv2d_45/kernel conv2d_46/Conv2D/ReadVariableOp conv2d_46/kernel conv2d_47/Conv2D/ReadVariableOp conv2d_47/kernel conv2d_48/Conv2D/ReadVariableOp conv2d_48/kernel conv2d_49/Conv2D/ReadVariableOp conv2d_49/kernel conv2d_5/Conv2D/ReadVariableOp conv2d_5/kernel conv2d_50/Conv2D/ReadVariableOp conv2d_50/kernel conv2d_51/Conv2D/ReadVariableOp conv2d_51/kernel conv2d_52/Conv2D/ReadVariableOp conv2d_52/kernel conv2d_53/Conv2D/ReadVariableOp conv2d_53/kernel conv2d_54/Conv2D/ReadVariableOp conv2d_54/kernel conv2d_55/Conv2D/ReadVariableOp conv2d_55/kernel conv2d_56/Conv2D/ReadVariableOp conv2d_56/kernel conv2d_57/Conv2D/ReadVariableOp conv2d_57/kernel conv2d_58/Conv2D/ReadVariableOp conv2d_58/kernel conv2d_59/Conv2D/ReadVariableOp conv2d_59/kernel conv2d_6/Conv2D/ReadVariableOp conv2d_6/kernel conv2d_60/Conv2D/ReadVariableOp conv2d_60/kernel conv2d_61/Conv2D/ReadVariableOp conv2d_61/kernel conv2d_62/Conv2D/ReadVariableOp conv2d_62/kernel conv2d_63/Conv2D/ReadVariableOp conv2d_63/kernel conv2d_64/Conv2D/ReadVariableOp conv2d_64/kernel conv2d_65/Conv2D/ReadVariableOp conv2d_65/kernel conv2d_66/Conv2D/ReadVariableOp conv2d_66/kernel conv2d_67/Conv2D/ReadVariableOp conv2d_67/kernel conv2d_68/Conv2D/ReadVariableOp conv2d_68/kernel conv2d_69/Conv2D/ReadVariableOp conv2d_69/kernel conv2d_7/Conv2D/ReadVariableOp conv2d_7/kernel conv2d_70/Conv2D/ReadVariableOp conv2d_70/kernel conv2d_71/Conv2D/ReadVariableOp conv2d_71/kernel conv2d_72/Conv2D/ReadVariableOp conv2d_72/kernel conv2d_73/Conv2D/ReadVariableOp conv2d_73/kernel conv2d_74/Conv2D/ReadVariableOp conv2d_74/kernel conv2d_75/Conv2D/ReadVariableOp conv2d_75/kernel conv2d_76/Conv2D/ReadVariableOp conv2d_76/kernel conv2d_77/Conv2D/ReadVariableOp conv2d_77/kernel conv2d_78/Conv2D/ReadVariableOp conv2d_78/kernel conv2d_79/Conv2D/ReadVariableOp conv2d_79/kernel conv2d_8/Conv2D/ReadVariableOp conv2d_8/kernel conv2d_80/Conv2D/ReadVariableOp conv2d_80/kernel conv2d_81/Conv2D/ReadVariableOp conv2d_81/kernel conv2d_82/Conv2D/ReadVariableOp conv2d_82/kernel conv2d_83/Conv2D/ReadVariableOp conv2d_83/kernel conv2d_84/Conv2D/ReadVariableOp conv2d_84/kernel conv2d_85/Conv2D/ReadVariableOp conv2d_85/kernel conv2d_86/Conv2D/ReadVariableOp conv2d_86/kernel conv2d_87/Conv2D/ReadVariableOp conv2d_87/kernel conv2d_88/Conv2D/ReadVariableOp conv2d_88/kernel conv2d_89/Conv2D/ReadVariableOp conv2d_89/kernel conv2d_9/Conv2D/ReadVariableOp conv2d_9/kernel conv2d_90/Conv2D/ReadVariableOp conv2d_90/kernel conv2d_91/Conv2D/ReadVariableOp conv2d_91/kernel conv2d_92/Conv2D/ReadVariableOp conv2d_92/kernel conv2d_93/Conv2D/ReadVariableOp conv2d_93/kernel dense/BiasAdd/ReadVariableOp dense/MatMul/ReadVariableOp dense/bias dense/kernel dense_1/BiasAdd/ReadVariableOp dense_1/MatMul/ReadVariableOp dense_1/bias dense_1/kernel mixed0/concat/axis mixed0/concat/axis/Output_0/Data_ mixed1/concat/axis mixed1/concat/axis/Output_0/Data_ mixed10/concat/axis mixed10/concat/axis/Output_0/Data_ mixed2/concat/axis mixed2/concat/axis/Output_0/Data_ mixed3/concat/axis mixed3/concat/axis/Output_0/Data_ mixed4/concat/axis mixed4/concat/axis/Output_0/Data_ mixed5/concat/axis mixed5/concat/axis/Output_0/Data_ mixed6/concat/axis mixed6/concat/axis/Output_0/Data_ mixed7/concat/axis mixed7/concat/axis/Output_0/Data_ mixed8/concat/axis mixed8/concat/axis/Output_0/Data_ mixed9/concat/axis mixed9/concat/axis/Output_0/Data_ mixed9_0/concat/axis mixed9_0/concat/axis/Output_0/Data_ mixed9_1/concat/axis mixed9_1/concat/axis/Output_0/Data_ predictions/BiasAdd/ReadVariableOp predictions/MatMul/ReadVariableOp predictions/bias predictions/kernel [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-11-25 12:33:15,461 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,480 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:15,585 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 1617/Output_0/Data_ 1627/Output_0/Data_ 2855 2856 2857 2858 2859 2860 2861 2862 2863 2864 2865 2866 2867 2868 2869 2870 2871 2872 2873 2874 2875 2876 2877 2878 2879 2880 2881 2882 2883 2884 2885 2886 2887 2888 2889 2890 2891 2892 2893 2894 2895 2896 2897 2898 2899 2900 2901 2902 2903 2904 2905 2906 2907 2908 2909 2910 2911 2912 2913 2914 2915 2916 2917 2918 2919 2920 2921 2922 2923 2924 2925 2926 2927 2928 2929 2930 2931 2932 2933 2934 2935 2936 2937 2938 2939 2940 2941 2942 2943 2944 2945 2946 2947 2948 2949 2950 2951 2952 2953 2954 2955 2956 2957 2958 2959 2960 2961 2962 2963 2964 2965 2966 2967 2968 2969 2970 2971 2972 2973 2974 2975 2976 2977 2978 2979 2980 2981 2982 2983 2984 2985 2986 2987 2988 2989 2990 2991 2992 2993 2994 2995 2996 2997 2998 2999 3000 3001 3002 3003 3004 3005 3006 3007 3008 3009 3010 3011 3012 3013 3014 3015 3016 3017 3018 3019 3020 3021 3022 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batch_normalization_17/moving_variance/Output_0/Data_ batch_normalization_18/beta/Output_0/Data_ batch_normalization_18/moving_mean/Output_0/Data_ batch_normalization_18/moving_variance/Output_0/Data_ batch_normalization_19/beta/Output_0/Data_ batch_normalization_19/moving_mean/Output_0/Data_ batch_normalization_19/moving_variance/Output_0/Data_ batch_normalization_2/beta/Output_0/Data_ batch_normalization_2/moving_mean/Output_0/Data_ batch_normalization_2/moving_variance/Output_0/Data_ batch_normalization_20/beta/Output_0/Data_ batch_normalization_20/moving_mean/Output_0/Data_ batch_normalization_20/moving_variance/Output_0/Data_ batch_normalization_21/beta/Output_0/Data_ batch_normalization_21/moving_mean/Output_0/Data_ batch_normalization_21/moving_variance/Output_0/Data_ batch_normalization_22/beta/Output_0/Data_ batch_normalization_22/moving_mean/Output_0/Data_ batch_normalization_22/moving_variance/Output_0/Data_ batch_normalization_23/beta/Output_0/Data_ 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batch_normalization_3/beta/Output_0/Data_ batch_normalization_3/moving_mean/Output_0/Data_ batch_normalization_3/moving_variance/Output_0/Data_ batch_normalization_30/beta/Output_0/Data_ batch_normalization_30/moving_mean/Output_0/Data_ batch_normalization_30/moving_variance/Output_0/Data_ batch_normalization_31/beta/Output_0/Data_ batch_normalization_31/moving_mean/Output_0/Data_ batch_normalization_31/moving_variance/Output_0/Data_ batch_normalization_32/beta/Output_0/Data_ batch_normalization_32/moving_mean/Output_0/Data_ batch_normalization_32/moving_variance/Output_0/Data_ batch_normalization_33/beta/Output_0/Data_ batch_normalization_33/moving_mean/Output_0/Data_ batch_normalization_33/moving_variance/Output_0/Data_ batch_normalization_34/beta/Output_0/Data_ batch_normalization_34/moving_mean/Output_0/Data_ batch_normalization_34/moving_variance/Output_0/Data_ batch_normalization_35/beta/Output_0/Data_ batch_normalization_35/moving_mean/Output_0/Data_ batch_normalization_35/moving_variance/Output_0/Data_ batch_normalization_36/beta/Output_0/Data_ batch_normalization_36/moving_mean/Output_0/Data_ batch_normalization_36/moving_variance/Output_0/Data_ batch_normalization_37/beta/Output_0/Data_ batch_normalization_37/moving_mean/Output_0/Data_ batch_normalization_37/moving_variance/Output_0/Data_ batch_normalization_38/beta/Output_0/Data_ batch_normalization_38/moving_mean/Output_0/Data_ batch_normalization_38/moving_variance/Output_0/Data_ batch_normalization_39/beta/Output_0/Data_ batch_normalization_39/moving_mean/Output_0/Data_ batch_normalization_39/moving_variance/Output_0/Data_ batch_normalization_4/beta/Output_0/Data_ batch_normalization_4/moving_mean/Output_0/Data_ batch_normalization_4/moving_variance/Output_0/Data_ batch_normalization_40/beta/Output_0/Data_ batch_normalization_40/moving_mean/Output_0/Data_ batch_normalization_40/moving_variance/Output_0/Data_ batch_normalization_41/beta/Output_0/Data_ 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batch_normalization_48/beta/Output_0/Data_ batch_normalization_48/moving_mean/Output_0/Data_ batch_normalization_48/moving_variance/Output_0/Data_ batch_normalization_49/beta/Output_0/Data_ batch_normalization_49/moving_mean/Output_0/Data_ batch_normalization_49/moving_variance/Output_0/Data_ batch_normalization_5/beta/Output_0/Data_ batch_normalization_5/moving_mean/Output_0/Data_ batch_normalization_5/moving_variance/Output_0/Data_ batch_normalization_50/beta/Output_0/Data_ batch_normalization_50/moving_mean/Output_0/Data_ batch_normalization_50/moving_variance/Output_0/Data_ batch_normalization_51/beta/Output_0/Data_ batch_normalization_51/moving_mean/Output_0/Data_ batch_normalization_51/moving_variance/Output_0/Data_ batch_normalization_52/beta/Output_0/Data_ batch_normalization_52/moving_mean/Output_0/Data_ batch_normalization_52/moving_variance/Output_0/Data_ batch_normalization_53/beta/Output_0/Data_ batch_normalization_53/moving_mean/Output_0/Data_ 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batch_normalization_66/beta/Output_0/Data_ batch_normalization_66/moving_mean/Output_0/Data_ batch_normalization_66/moving_variance/Output_0/Data_ batch_normalization_67/beta/Output_0/Data_ batch_normalization_67/moving_mean/Output_0/Data_ batch_normalization_67/moving_variance/Output_0/Data_ batch_normalization_68/beta/Output_0/Data_ batch_normalization_68/moving_mean/Output_0/Data_ batch_normalization_68/moving_variance/Output_0/Data_ batch_normalization_69/beta/Output_0/Data_ batch_normalization_69/moving_mean/Output_0/Data_ batch_normalization_69/moving_variance/Output_0/Data_ batch_normalization_7/beta/Output_0/Data_ batch_normalization_7/moving_mean/Output_0/Data_ batch_normalization_7/moving_variance/Output_0/Data_ batch_normalization_70/beta/Output_0/Data_ batch_normalization_70/moving_mean/Output_0/Data_ batch_normalization_70/moving_variance/Output_0/Data_ batch_normalization_71/beta/Output_0/Data_ batch_normalization_71/moving_mean/Output_0/Data_ batch_normalization_71/moving_variance/Output_0/Data_ batch_normalization_72/beta/Output_0/Data_ batch_normalization_72/moving_mean/Output_0/Data_ batch_normalization_72/moving_variance/Output_0/Data_ batch_normalization_73/beta/Output_0/Data_ batch_normalization_73/moving_mean/Output_0/Data_ batch_normalization_73/moving_variance/Output_0/Data_ batch_normalization_74/beta/Output_0/Data_ batch_normalization_74/moving_mean/Output_0/Data_ batch_normalization_74/moving_variance/Output_0/Data_ batch_normalization_75/beta/Output_0/Data_ batch_normalization_75/moving_mean/Output_0/Data_ batch_normalization_75/moving_variance/Output_0/Data_ batch_normalization_76/beta/Output_0/Data_ batch_normalization_76/moving_mean/Output_0/Data_ batch_normalization_76/moving_variance/Output_0/Data_ batch_normalization_77/beta/Output_0/Data_ batch_normalization_77/moving_mean/Output_0/Data_ batch_normalization_77/moving_variance/Output_0/Data_ batch_normalization_78/beta/Output_0/Data_ batch_normalization_78/moving_mean/Output_0/Data_ batch_normalization_78/moving_variance/Output_0/Data_ batch_normalization_79/beta/Output_0/Data_ batch_normalization_79/moving_mean/Output_0/Data_ batch_normalization_79/moving_variance/Output_0/Data_ batch_normalization_8/beta/Output_0/Data_ batch_normalization_8/moving_mean/Output_0/Data_ batch_normalization_8/moving_variance/Output_0/Data_ batch_normalization_80/beta/Output_0/Data_ batch_normalization_80/moving_mean/Output_0/Data_ batch_normalization_80/moving_variance/Output_0/Data_ batch_normalization_81/beta/Output_0/Data_ batch_normalization_81/moving_mean/Output_0/Data_ batch_normalization_81/moving_variance/Output_0/Data_ batch_normalization_82/beta/Output_0/Data_ batch_normalization_82/moving_mean/Output_0/Data_ batch_normalization_82/moving_variance/Output_0/Data_ batch_normalization_83/beta/Output_0/Data_ batch_normalization_83/moving_mean/Output_0/Data_ batch_normalization_83/moving_variance/Output_0/Data_ batch_normalization_84/beta/Output_0/Data_ batch_normalization_84/moving_mean/Output_0/Data_ batch_normalization_84/moving_variance/Output_0/Data_ batch_normalization_85/beta/Output_0/Data_ batch_normalization_85/moving_mean/Output_0/Data_ batch_normalization_85/moving_variance/Output_0/Data_ batch_normalization_86/beta/Output_0/Data_ batch_normalization_86/moving_mean/Output_0/Data_ batch_normalization_86/moving_variance/Output_0/Data_ batch_normalization_87/beta/Output_0/Data_ batch_normalization_87/moving_mean/Output_0/Data_ batch_normalization_87/moving_variance/Output_0/Data_ batch_normalization_88/beta/Output_0/Data_ batch_normalization_88/moving_mean/Output_0/Data_ batch_normalization_88/moving_variance/Output_0/Data_ batch_normalization_89/beta/Output_0/Data_ batch_normalization_89/moving_mean/Output_0/Data_ batch_normalization_89/moving_variance/Output_0/Data_ batch_normalization_9/beta/Output_0/Data_ batch_normalization_9/moving_mean/Output_0/Data_ batch_normalization_9/moving_variance/Output_0/Data_ batch_normalization_90/beta/Output_0/Data_ batch_normalization_90/moving_mean/Output_0/Data_ batch_normalization_90/moving_variance/Output_0/Data_ batch_normalization_91/beta/Output_0/Data_ batch_normalization_91/moving_mean/Output_0/Data_ batch_normalization_91/moving_variance/Output_0/Data_ batch_normalization_92/beta/Output_0/Data_ batch_normalization_92/moving_mean/Output_0/Data_ batch_normalization_92/moving_variance/Output_0/Data_ batch_normalization_93/beta/Output_0/Data_ batch_normalization_93/moving_mean/Output_0/Data_ batch_normalization_93/moving_variance/Output_0/Data_ batch_normalization_94/batchnorm/ReadVariableOp/Output_0/Data_ batch_normalization_94/batchnorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_94/batchnorm/ReadVariableOp_2/Output_0/Data_ batch_normalization_94/batchnorm/Rsqrt/pow_/Output_0/Data_ batch_normalization_94/batchnorm/add/Output_0/Data_ batch_normalization_94/batchnorm/add/y/Output_0/Data_ batch_normalization_94/batchnorm/mul/ReadVariableOp/Output_0/Data_ batch_normalization_94/batchnorm/mul_2/Output_0/Data_ batch_normalization_94/batchnorm/sub/negate_/Output_0/Data_ batch_normalization_94/beta/Output_0/Data_ batch_normalization_94/gamma/Output_0/Data_ batch_normalization_94/moving_mean/Output_0/Data_ batch_normalization_94/moving_variance/Output_0/Data_ conv2d/kernel/Output_0/Data_ conv2d_1/kernel/Output_0/Data_ conv2d_10/kernel/Output_0/Data_ conv2d_11/kernel/Output_0/Data_ conv2d_12/kernel/Output_0/Data_ conv2d_13/kernel/Output_0/Data_ conv2d_14/kernel/Output_0/Data_ conv2d_15/kernel/Output_0/Data_ conv2d_16/kernel/Output_0/Data_ conv2d_17/kernel/Output_0/Data_ conv2d_18/kernel/Output_0/Data_ conv2d_19/kernel/Output_0/Data_ conv2d_2/kernel/Output_0/Data_ conv2d_20/kernel/Output_0/Data_ conv2d_21/kernel/Output_0/Data_ conv2d_22/kernel/Output_0/Data_ conv2d_23/kernel/Output_0/Data_ conv2d_24/kernel/Output_0/Data_ conv2d_25/kernel/Output_0/Data_ conv2d_26/kernel/Output_0/Data_ conv2d_27/kernel/Output_0/Data_ conv2d_28/kernel/Output_0/Data_ conv2d_29/kernel/Output_0/Data_ conv2d_3/kernel/Output_0/Data_ conv2d_30/kernel/Output_0/Data_ conv2d_31/kernel/Output_0/Data_ conv2d_32/kernel/Output_0/Data_ conv2d_33/kernel/Output_0/Data_ conv2d_34/kernel/Output_0/Data_ conv2d_35/kernel/Output_0/Data_ conv2d_36/kernel/Output_0/Data_ conv2d_37/kernel/Output_0/Data_ conv2d_38/kernel/Output_0/Data_ conv2d_39/kernel/Output_0/Data_ conv2d_4/kernel/Output_0/Data_ conv2d_40/kernel/Output_0/Data_ conv2d_41/kernel/Output_0/Data_ conv2d_42/kernel/Output_0/Data_ conv2d_43/kernel/Output_0/Data_ conv2d_44/kernel/Output_0/Data_ conv2d_45/kernel/Output_0/Data_ conv2d_46/kernel/Output_0/Data_ conv2d_47/kernel/Output_0/Data_ conv2d_48/kernel/Output_0/Data_ conv2d_49/kernel/Output_0/Data_ conv2d_5/kernel/Output_0/Data_ conv2d_50/kernel/Output_0/Data_ conv2d_51/kernel/Output_0/Data_ conv2d_52/kernel/Output_0/Data_ conv2d_53/kernel/Output_0/Data_ conv2d_54/kernel/Output_0/Data_ conv2d_55/kernel/Output_0/Data_ conv2d_56/kernel/Output_0/Data_ conv2d_57/kernel/Output_0/Data_ conv2d_58/kernel/Output_0/Data_ conv2d_59/kernel/Output_0/Data_ conv2d_6/kernel/Output_0/Data_ conv2d_60/kernel/Output_0/Data_ conv2d_61/kernel/Output_0/Data_ conv2d_62/kernel/Output_0/Data_ conv2d_63/kernel/Output_0/Data_ conv2d_64/kernel/Output_0/Data_ conv2d_65/kernel/Output_0/Data_ conv2d_66/kernel/Output_0/Data_ conv2d_67/kernel/Output_0/Data_ conv2d_68/kernel/Output_0/Data_ conv2d_69/kernel/Output_0/Data_ conv2d_7/kernel/Output_0/Data_ conv2d_70/kernel/Output_0/Data_ conv2d_71/kernel/Output_0/Data_ conv2d_72/kernel/Output_0/Data_ conv2d_73/kernel/Output_0/Data_ conv2d_74/kernel/Output_0/Data_ conv2d_75/kernel/Output_0/Data_ conv2d_76/kernel/Output_0/Data_ conv2d_77/kernel/Output_0/Data_ conv2d_78/kernel/Output_0/Data_ conv2d_79/kernel/Output_0/Data_ conv2d_8/kernel/Output_0/Data_ conv2d_80/kernel/Output_0/Data_ conv2d_81/kernel/Output_0/Data_ conv2d_82/kernel/Output_0/Data_ conv2d_83/kernel/Output_0/Data_ conv2d_84/kernel/Output_0/Data_ conv2d_85/kernel/Output_0/Data_ conv2d_86/kernel/Output_0/Data_ conv2d_87/kernel/Output_0/Data_ conv2d_88/kernel/Output_0/Data_ conv2d_89/kernel/Output_0/Data_ conv2d_9/kernel/Output_0/Data_ conv2d_90/kernel/Output_0/Data_ conv2d_91/kernel/Output_0/Data_ conv2d_92/kernel/Output_0/Data_ conv2d_93/kernel/Output_0/Data_ dense/bias/Output_0/Data_ dense/kernel/Output_0/Data_ dense_1/bias/Output_0/Data_ dense_1/kernel/Output_0/Data_ predictions/bias/Output_0/Data_ predictions/kernel/Output_0/Data_ [ 2019-11-25 12:33:15,676 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,716 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:15,807 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 3334 3335 3336 3337 3338 3339 3340 3341 3342 3343 3344 3345 3346 3347 3348 3349 3350 3351 3352 3353 3354 3355 3356 3357 3358 3359 3360 3361 3362 3363 3364 3365 3366 3367 3368 3369 3370 3371 3372 3373 3374 3375 3376 3377 3378 3379 3380 3381 3382 3383 3384 3385 3386 3387 3388 3389 3390 3391 3392 3393 3394 3395 3396 3397 3398 3399 3400 3401 3402 3403 3404 3405 3406 3407 3408 3409 3410 3411 3412 3413 3414 3415 3416 3417 3418 3419 3420 3421 3422 3423 3424 3425 3426 3427 3428 3429 3430 3431 3432 3433 3434 3435 3436 3437 3438 3439 3440 3441 3442 3443 3444 3445 3446 3447 3448 3449 3450 3451 3452 3453 3454 3455 3456 3457 3458 3459 3460 3461 3462 3463 3464 3465 3466 3467 3468 3469 3470 3471 3472 3473 3474 3475 3476 3477 3478 3479 3480 3481 3482 3483 3484 3485 3486 3487 3488 3489 3490 3491 3492 3493 3494 3495 3496 3497 3498 3499 3500 3501 3502 3503 3504 3505 3506 3507 3508 3509 3510 3511 3512 3513 3514 3515 3516 3517 3518 3519 3520 3521 3522 3523 3524 3525 3526 3527 3528 3529 3530 3531 3532 3533 3534 3535 3536 3537 3538 3539 3540 3541 3542 3543 3544 3545 3546 3547 3548 3549 3550 3551 3552 3553 3554 3555 3556 3557 3558 3559 3560 3561 3562 3563 3564 3565 3566 3567 3568 3569 3570 3571 3572 3573 3574 3575 3576 3577 3578 3579 3580 3581 3582 3583 3584 3585 3586 3587 3588 3589 3590 3591 3592 3593 3594 3595 3596 3597 3598 3599 3600 3601 3602 3603 3604 3605 3606 3607 3608 3609 3610 3611 3612 3613 3614 3615 3616 3617 3618 3619 3620 3621 3622 3623 3624 3625 3626 3627 3628 3629 3630 3631 3632 3633 3634 3635 3636 3637 3638 3639 3640 3641 3642 3643 3644 3645 3646 3647 3648 3649 3650 3651 3652 3653 3654 3655 3656 3657 3658 3659 3660 3661 3662 3663 3664 3665 3666 3667 3668 3669 3670 3671 3672 3673 3674 3675 3676 3677 3678 3679 3680 3681 3682 3683 3684 3685 3686 3687 3688 3689 3690 3691 3692 3693 3694 3695 3696 3697 3698 3699 3700 3701 3702 3703 3704 3705 3706 3707 3708 3709 3710 3711 3712 3713 3714 3715 3716 3717 3718 3719 3720 3721 3722 3723 3724 3725 3726 3727 3728 3729 3730 3731 3732 3733 3734 3735 3736 3737 3738 3739 3740 3741 3742 3743 3744 3745 3746 3747 3748 3749 3750 3751 3752 3753 3754 3755 3756 3757 3758 3759 3760 3761 3762 3763 3764 3765 3766 3767 3768 3769 3770 3771 3772 3773 3774 3775 3776 3777 3778 3779 3780 3781 3782 3783 3784 3785 3786 3787 3788 3789 3790 3791 3792 3793 3794 3795 3796 3797 3798 3799 3800 3801 3802 3803 3804 3805 3806 3807 3808 3809 3810 3811 3812 [ 2019-11-25 12:33:15,896 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,915 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,966 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:15,969 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:16,059 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 3813 3814 3815 3816 3817 3818 3819 3820 3821 3822 3823 3824 3825 3826 3827 3828 3829 3830 3831 3832 3833 3834 3835 3836 3837 3838 3839 3840 3841 3842 3843 3844 3845 3846 3847 3848 3849 3850 3851 3852 3853 3854 3855 3856 3857 3858 3859 3860 3861 3862 3863 3864 3865 3866 3867 3868 3869 3870 3871 3872 3873 3874 3875 3876 3877 3878 3879 3880 3881 3882 3883 3884 3885 3886 3887 3888 3889 3890 3891 3892 3893 3894 3895 3896 3897 3898 3899 3900 3901 3902 3903 3904 3905 3906 3907 3908 3909 3910 3911 3912 3913 3914 3915 3916 3917 3918 3919 3920 3921 3922 3923 3924 3925 3926 3927 3928 3929 3930 3931 3932 3933 3934 3935 3936 3937 3938 3939 3940 3941 3942 3943 3944 3945 3946 3947 3948 3949 3950 3951 3952 3953 3954 3955 3956 3957 3958 3959 3960 3961 3962 3963 3964 3965 3966 3967 3968 3969 3970 3971 3972 3973 3974 3975 3976 3977 3978 3979 3980 3981 3982 3983 3984 3985 3986 3987 3988 3989 3990 3991 3992 3993 3994 3995 3996 3997 3998 3999 4000 4001 4002 4003 4004 4005 4006 4007 4008 4009 4010 4011 4012 4013 4014 4015 4016 4017 4018 4019 4020 4021 4022 4023 4024 4025 4026 4027 4028 4029 4030 4031 4032 4033 4034 4035 4036 4037 4038 4039 4040 4041 4042 4043 4044 4045 4046 4047 4048 4049 4050 4051 4052 4053 4054 4055 4056 4057 4058 4059 4060 4061 4062 4063 4064 4065 4066 4067 4068 4069 4070 4071 4072 4073 4074 4075 4076 4077 4078 4079 4080 4081 4082 4083 4084 4085 4086 4087 4088 4089 4090 4091 4092 4093 4094 4095 4096 4097 4098 4099 4100 4101 4102 4103 4104 4105 4106 4107 4108 4109 4110 4111 4112 4113 4114 4115 4116 4117 4118 4119 4120 4121 4122 4123 4124 4125 4126 4127 4128 4129 4130 4131 4132 4133 4134 4135 4136 4137 4138 4139 4140 4141 4142 4143 4144 4145 4146 4147 4148 4149 4150 4151 4152 4153 4154 4155 4156 4157 4158 4159 4160 4161 4162 4163 4164 4165 4166 4167 4168 4169 4170 4171 4172 4173 4174 4175 4176 4177 4178 4179 4180 4181 4182 4183 4184 4185 4186 4187 4188 4189 4190 4191 4192 4193 4194 4195 4196 4197 4198 4199 4200 4201 4202 4203 4204 4205 4206 4207 4208 4209 4210 4211 4212 4213 4214 4215 4216 4217 4218 4219 4220 4221 4222 4223 4224 4225 4226 4227 4228 4229 4230 4231 4232 4233 4234 4235 4236 4237 4238 4239 4240 4241 4242 4243 4244 4245 4246 4247 4248 4249 4250 4251 4252 4253 4254 4255 4256 4257 4258 4259 4260 4261 4262 4263 4264 4265 4266 4267 4268 4269 4270 4271 4272 4273 4274 4275 4276 4277 4278 4279 4280 4281 4282 4283 4284 4285 4286 4287 4288 4289 4290 4291 [ 2019-11-25 12:33:16,150 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:16,157 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:16,248 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 4292 4293 4294 4295 4296 4297 4298 4299 4300 4301 4302 4303 4304 4305 4306 4307 4308 4309 4310 4311 4312 4313 4314 4315 4316 4317 4318 4319 4320 4321 4322 4323 4324 4325 4326 4327 4328 4329 4330 4331 4332 4333 4334 4335 4336 4337 4338 4339 4340 4341 4342 4343 4344 4345 4346 4347 4348 4349 4350 4351 4352 4353 4354 4355 4356 4357 4358 4359 4360 4361 4362 4363 4364 4365 4366 4367 4368 4369 4370 4371 4372 4373 4374 4375 4376 4377 4378 4379 4380 4381 4382 4383 4384 4385 4386 4387 4388 4389 4390 4391 4392 4393 4394 4395 4396 4397 4398 4399 4400 4401 4402 4403 4404 4405 4406 4407 4408 4409 4410 4411 4412 4413 4414 4415 4416 4417 4418 4419 4420 4421 4422 4423 4424 4425 4426 4427 4428 4429 4430 4431 4432 4433 4434 4435 4436 4437 4438 4439 4440 4441 4442 4443 4444 4445 4446 4447 4448 4449 4450 4451 4452 4453 4454 4455 4456 4457 4458 4459 4460 4461 4462 4463 4464 4465 4466 4467 4468 4469 4470 4471 4472 4473 4474 4475 4476 4477 4478 4479 4480 4481 4482 4483 4484 4485 4486 4487 4488 4489 4490 4491 4492 4493 4494 4495 4496 4497 4498 4499 4500 4501 4502 4503 4504 4505 4506 4507 4508 4509 4510 4511 4512 4513 4514 4515 4516 4517 4518 4519 4520 4521 4522 4523 4524 4525 4526 4527 4528 4529 4530 4531 4532 4533 4534 4535 4536 4537 4538 4539 4540 4541 4542 4543 4544 4545 4546 4547 4548 4549 4550 4551 4552 4553 4554 4555 4556 4557 4558 4559 4560 4561 4562 4563 4564 4565 4566 4567 4568 4569 4570 4571 4572 4573 4574 4575 4576 4577 4578 4579 4580 4581 4582 4583 4584 4585 4586 4587 4588 4589 4590 4591 4592 4593 4594 4595 4596 4597 4598 4599 4600 4601 4602 4603 4604 4605 4606 4607 4608 4609 4610 4611 4612 4613 4614 4615 4616 4617 4618 4619 4620 4621 4622 4623 4624 4625 4626 4627 4628 4629 4630 4631 4632 4633 4634 4635 4636 4637 4638 4639 4640 4641 4642 4643 4644 4645 4646 4647 4648 4649 4650 4651 4652 4653 4654 4655 4656 4657 4658 4659 4660 4661 4662 4663 4664 4665 4666 4667 4668 4669 4670 4671 4672 4673 4674 4675 4676 4677 4678 4679 4680 4681 4682 4683 4684 4685 4686 4687 4688 4689 4690 4691 4692 4693 4694 4695 4696 4697 4698 4699 4700 4701 4702 4703 4704 4705 4706 4707 4708 4709 4710 4711 4712 4713 4714 4715 4716 4717 4718 4719 4720 4721 4722 4723 4724 4725 4726 4727 4728 4729 4730 4731 4732 4733 4734 4735 4736 4737 4738 4739 4740 4741 4742 4743 4744 4745 4746 4747 4748 4749 4750 4751 4752 4753 4754 4755 4756 4757 4758 4759 4760 4761 4762 4763 4764 4765 4766 4767 4768 4769 4770 [ 2019-11-25 12:33:16,338 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:16,390 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:16,411 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:16,448 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:16,623 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 4771 4772 4773 4774 4775 4776 4777 4778 4779 4780 4781 4782 4783 4784 4785 4786 4787 4788 4789 4790 4791 4792 4793 4794 4795 4796 4797 4798 4799 4800 4801 4802 4803 4804 4805 4806 4807 4808 4809 4810 4811 4812 4813 4814 4815 4816 4817 4818 4819 4820 4821 4822 4823 4824 4825 4826 4827 4828 4829 4830 4831 4832 4833 4834 4835 4836 4837 4838 4839 4840 4841 4842 4843 4844 4845 4846 4847 4848 4849 4850 4851 4852 4853 4854 4855 4856 4857 4858 4859 4860 4861 4862 4863 4864 4865 4866 4867 4868 4869 4870 4871 4872 4873 4874 4875 4876 4877 4878 4879 4880 4881 4882 4883 4884 4885 4886 4887 4888 4889 4890 4891 4892 4893 4894 4895 4896 4897 4898 4899 4900 4901 4902 4903 4904 4905 4906 4907 4908 4909 4910 4911 4912 4913 4914 4915 4916 4917 4918 4919 4920 4921 4922 4923 4924 4925 4926 4927 4928 4929 4930 4931 4932 4933 4934 4935 4936 4937 4938 4939 4940 4941 4942 4943 4944 4945 4946 4947 4948 4949 4950 4951 4952 4953 4954 4955 4956 4957 4958 4959 4960 4961 4962 4963 4964 4965 4966 4967 4968 4969 4970 4971 4972 4973 4974 4975 4976 4977 4978 4979 4980 4981 4982 4983 4984 4985 4986 4987 4988 4989 4990 4991 4992 4993 4994 4995 4996 4997 4998 4999 5000 5001 5002 5003 5004 5005 5006 5007 5008 5009 5010 5011 5012 5013 5014 5015 5016 5017 5018 5019 5020 5021 5022 5023 5024 5025 5026 5027 5028 5029 5030 5031 5032 5033 5034 5035 5036 5037 5038 5039 5040 5041 5042 5043 5044 5045 5046 5047 5048 5049 5050 5051 5052 5053 5054 5055 5056 5057 5058 5059 5060 5061 5062 5063 5064 5065 5066 5067 5068 5069 5070 5071 5072 5073 5074 5075 5076 5077 5078 5079 5080 5081 5082 5083 5084 5085 5086 5087 5088 5089 5090 5091 5092 5093 5094 5095 5096 5097 5098 5099 5100 5101 5102 5103 5104 5105 5106 5107 5108 5109 5110 5111 5112 5113 5114 5115 5116 5117 5118 5119 5120 5121 5122 5123 5124 5125 5126 5127 5128 5129 5130 5131 5132 5133 5134 5135 5136 5137 5138 5139 5140 5141 5142 5143 5144 5145 5146 5147 5148 5149 5150 5151 5152 5153 5154 5155 5156 5157 5158 5159 5160 5161 5162 5163 5164 5165 5166 5167 5168 5169 5170 5171 5172 5173 5174 5175 5176 5177 5178 5179 5180 5181 5182 5183 5184 5185 5186 5187 5188 5189 5190 5191 5192 5193 5194 5195 5196 5197 5198 5199 5200 5201 5202 5203 5204 5205 5206 5207 5208 5209 5210 5211 5212 5213 5214 5215 5216 5217 5218 5219 5220 5221 5222 5223 5224 5225 5226 5227 5228 5229 5230 5231 5232 5233 5234 5235 5236 5237 5238 5239 5240 5241 5242 5243 5244 5245 5246 5247 5248 5249 [ 2019-11-25 12:33:16,714 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:16,765 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:16,800 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:16,891 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 5250 5251 5252 5253 5254 5255 5256 5257 5258 5259 5260 5261 5262 5263 5264 5265 5266 5267 5268 5269 5270 5271 5272 5273 5274 5275 5276 5277 5278 5279 5280 5281 5282 5283 5284 5285 5286 5287 5288 5289 5290 5291 5292 5293 5294 5295 5296 5297 5298 5299 5300 5301 5302 5303 5304 5305 5306 5307 5308 5309 5310 5311 5312 5313 5314 5315 5316 5317 5318 5319 5320 5321 5322 5323 5324 5325 5326 5327 5328 5329 5330 5331 5332 5333 5334 5335 5336 5337 5338 5339 5340 5341 5342 5343 5344 5345 5346 5347 5348 5349 5350 5351 5352 5353 5354 5355 5356 5357 5358 5359 5360 5361 5362 5363 5364 5365 5366 5367 5368 5369 5370 5371 5372 5373 5374 5375 5376 5377 5378 5379 5380 5381 5382 5383 5384 5385 5386 5387 5388 5389 5390 5391 5392 5393 5394 5395 5396 5397 5398 5399 5400 5401 5402 5403 5404 5405 5406 5407 5408 5409 5410 5411 5412 5413 5414 5415 5416 5417 5418 5419 5420 5421 5422 5423 5424 5425 5426 5427 5428 5429 5430 5431 5432 5433 5434 5435 5436 5437 5438 5439 5440 5441 5442 5443 5444 5445 5446 5447 5448 5449 5450 5451 5452 5453 5454 5455 5456 5457 5458 5459 5460 5461 5462 5463 5464 5465 5466 5467 5468 5469 5470 5471 5472 5473 5474 5475 5476 5477 5478 5479 5480 5481 5482 5483 5484 5485 5486 5487 5488 5489 5490 5491 5492 5493 5494 5495 5496 5497 5498 5499 5500 5501 5502 5503 5504 5505 5506 5507 5508 5509 5510 5511 5512 5513 5514 5515 5516 5517 5518 5519 5520 5521 5522 5523 5524 5525 5526 5527 5528 5529 5530 5531 5532 5533 5534 5535 5536 5537 5538 5539 5540 5541 5542 5543 5544 5545 5546 5547 5548 5549 5550 5551 5552 5553 5554 5555 5556 5557 5558 5559 5560 5561 5562 5563 5564 5565 5566 5567 5568 5569 5570 5571 5572 5573 5574 5575 5576 5577 5578 5579 5580 5581 5582 5583 5584 5585 5586 5587 5588 5589 5590 5591 5592 5593 5594 5595 5596 5597 5598 5599 5600 5601 5602 5603 5604 5605 5606 5607 5608 5609 5610 5611 5612 5613 5614 5615 5616 5617 5618 5619 5620 5621 5622 5623 5624 5625 5626 5627 5628 5629 5630 5631 5632 5633 5634 5635 5636 5637 5638 5639 5640 5641 5642 5643 5644 5645 5646 5647 5648 5649 5650 5651 5652 5653 5654 5655 5656 5657 5658 5659 5660 5661 5662 5663 5664 5665 5666 5667 5668 5669 5670 5671 5672 5673 5674 5675 5676 5677 5678 5679 5680 5681 5682 5683 5684 5685 5686 5687 5688 5689 5690 5691 5692 5693 5694 5695 5696 5697 5698 5699 5700 5701 5702 5703 5704 5705 5706 5707 5708 5709 5710 5711 5712 5713 5714 5715 5716 5717 5718 5719 5720 5721 5722 5723 5724 5725 5726 5727 5728 [ 2019-11-25 12:33:16,980 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:17,027 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:17,116 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 5729 5730 5731 5732 5733 5734 5735 5736 5737 5738 5739 5740 5741 5742 5743 5744 5745 5746 5747 5748 5749 5750 5751 5752 5753 5754 5755 5756 5757 5758 5759 5760 5761 5762 5763 5764 5765 5766 5767 5768 5769 5770 5771 5772 5773 5774 5775 5776 5777 5778 5779 5780 5781 5782 5783 5784 5785 5786 5787 5788 5789 5790 5791 5792 5793 5794 5795 5796 5797 5798 5799 5800 5801 5802 5803 5804 5805 5806 5807 5808 5809 5810 5811 5812 5813 5814 5815 5816 5817 5818 5819 5820 5821 5822 5823 5824 5825 5826 5827 5828 5829 5830 5831 5832 5833 5834 5835 5836 5837 5838 5839 5840 5841 5842 5843 5844 5845 5846 5847 5848 5849 5850 5851 5852 5853 5854 5855 5856 5857 5858 5859 5860 5861 5862 5863 5864 5865 5866 5867 5868 5869 5870 5871 5872 5873 5874 5875 5876 5877 5878 5879 5880 5881 5882 5883 5884 5885 5886 5887 5888 5889 5890 5891 5892 5893 5894 5895 5896 5897 5898 5899 5900 5901 5902 5903 5904 5905 5906 5907 5908 5909 5910 5911 5912 5913 5914 5915 5916 5917 5918 5919 5920 5921 5922 5923 5924 5925 5926 5927 5928 5929 5930 5931 5932 5933 5934 5935 5936 5937 5938 5939 5940 5941 5942 5943 5944 5945 5946 5947 5948 5949 5950 5951 5952 5953 5954 5955 5956 5957 5958 5959 5960 5961 5962 5963 5964 5965 5966 5967 5968 5969 5970 5971 5972 5973 5974 5975 5976 5977 5978 5979 5980 5981 5982 5983 5984 5985 5986 5987 5988 5989 5990 5991 5992 5993 5994 5995 5996 5997 5998 5999 6000 6001 6002 6003 6004 6005 6006 6007 6008 6009 6010 6011 6012 6013 6014 6015 6016 6017 6018 6019 6020 6021 6022 6023 6024 6025 6026 6027 6028 6029 6030 6031 6032 6033 6034 6035 6036 6037 6038 6039 6040 6041 6042 6043 6044 6045 6046 6047 6048 6049 6050 6051 6052 6053 6054 6055 6056 6057 6058 6059 6060 6061 6062 6063 6064 6065 6066 6067 6068 6069 6070 6071 6072 6073 6074 6075 6076 6077 6078 6079 6080 6081 6082 6083 6084 6085 6086 6087 6088 6089 6090 6091 6092 6093 6094 6095 6096 6097 6098 6099 6100 6101 6102 6103 6104 6105 6106 6107 6108 6109 6110 6111 6112 6113 6114 6115 6116 6117 6118 6119 6120 6121 6122 6123 6124 6125 6126 6127 6128 6129 6130 6131 6132 6133 6134 6135 6136 6137 6138 6139 6140 6141 6142 6143 6144 6145 6146 6147 6148 6149 6150 6151 6152 6153 6154 6155 6156 6157 6158 6159 6160 6161 6162 6163 6164 6165 6166 6167 6168 6169 6170 6171 6172 6173 6174 6175 6176 6177 6178 6179 6180 6181 6182 6183 6184 6185 6186 6187 6188 6189 6190 6191 6192 6193 6194 6195 6196 6197 6198 6199 6200 6201 6202 6203 6204 6205 6206 6207 [ 2019-11-25 12:33:17,205 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:17,235 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:17,325 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 6208 6209 6210 6211 6212 6213 6214 6215 6216 6217 6218 6219 6220 6221 6222 6223 6224 6225 6226 6227 6228 6229 6230 6231 6232 6233 6234 6235 6236 6237 6238 6239 6240 6241 6242 6243 6244 6245 6246 6247 6248 6249 6250 6251 6252 6253 6254 6255 6256 6257 6258 6259 6260 6261 6262 6263 6264 6265 6266 6267 6268 6269 6270 6271 6272 6273 6274 6275 6276 6277 6278 6279 6280 6281 6282 6283 6284 6285 6286 6287 6288 6289 6290 6291 6292 6293 6294 6295 6296 6297 6298 6299 6300 6301 6302 6303 6304 6305 6306 6307 6308 6309 6310 6311 6312 6313 6314 6315 6316 6317 6318 6319 6320 6321 6322 6323 6324 6325 6326 6327 6328 6329 6330 6331 6332 6333 6334 6335 6336 6337 6338 6339 6340 6341 6342 6343 6344 6345 6346 6347 6348 6349 6350 6351 6352 6353 6354 6355 6356 6357 6358 6359 6360 6361 6362 6363 6364 6365 6366 6367 6368 6369 6370 6371 6372 6373 6374 6375 6376 6377 6378 6379 6380 6381 6382 6383 6384 6385 6386 6387 6388 6389 6390 6391 6392 6393 6394 6395 6396 6397 6398 6399 6400 6401 6402 6403 6404 6405 6406 6407 6408 6409 6410 6411 6412 6413 6414 6415 6416 6417 6418 6419 6420 6421 6422 6423 6424 6425 6426 6427 6428 6429 6430 6431 6432 6433 6434 6435 6436 6437 6438 6439 6440 6441 6442 6443 6444 6445 6446 6447 6448 6449 6450 6451 6452 6453 6454 6455 6456 6457 6458 6459 6460 6461 6462 6463 6464 6465 6466 6467 6468 6469 6470 6471 6472 6473 6474 6475 6476 6477 6478 6479 6480 6481 6482 6483 6484 6485 6486 6487 6488 6489 6490 6491 6492 6493 6494 6495 6496 6497 6498 6499 6500 6501 6502 6503 6504 6505 6506 6507 6508 6509 6510 6511 6512 6513 6514 6515 6516 6517 6518 6519 6520 6521 6522 6523 6524 6525 6526 6527 6528 6529 6530 6531 6532 6533 6534 6535 6536 6537 6538 6539 6540 6541 6542 6543 6544 6545 6546 6547 6548 6549 6550 6551 6552 6553 6554 6555 6556 6557 6558 6559 6560 6561 6562 6563 6564 6565 6566 6567 6568 6569 6570 6571 6572 6573 6574 6575 6576 6577 6578 6579 6580 6581 6582 6583 6584 6585 6586 6587 6588 6589 6590 6591 6592 6593 6594 6595 6596 6597 6598 6599 6600 6601 6602 6603 6604 6605 6606 6607 6608 6609 6610 6611 6612 6613 6614 6615 6616 6617 6618 6619 6620 6621 6622 6623 6624 6625 6626 6627 6628 6629 6630 6631 6632 6633 6634 6635 6636 6637 6638 6639 6640 6641 6642 6643 6644 6645 6646 6647 6648 6649 6650 6651 6652 6653 6654 6655 6656 6657 6658 6659 6660 6661 6662 6663 6664 6665 6666 6667 6668 6669 6670 6671 6672 6673 6674 6675 6676 6677 6678 6679 6680 6681 6682 6683 6684 6685 6686 [ 2019-11-25 12:33:17,414 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:17,452 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:17,542 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 6687 6688 6689 6690 6691 6692 6693 6694 6695 6696 6697 6698 6699 6700 6701 6702 6703 6704 6705 6706 6707 6708 6709 6710 6711 6712 6713 6714 6715 6716 6717 6718 6719 6720 6721 6722 6723 6724 6725 6726 6727 6728 6729 6730 6731 6732 6733 6734 6735 6736 6737 6738 6739 6740 6741 6742 6743 6744 6745 6746 6747 6748 6749 6750 6751 6752 6753 6754 6755 6756 6757 6758 6759 6760 6761 6762 6763 6764 6765 6766 6767 6768 6769 6770 6771 6772 6773 6774 6775 6776 6777 6778 6779 6780 6781 6782 6783 6784 6785 6786 6787 6788 6789 6790 6791 6792 6793 6794 6795 6796 6797 6798 6799 6800 6801 6802 6803 6804 6805 6806 6807 6808 6809 6810 6811 6812 6813 6814 6815 6816 6817 6818 6819 6820 6821 6822 6823 6824 6825 6826 6827 6828 6829 6830 6831 6832 6833 6834 6835 6836 6837 6838 6839 6840 6841 6842 6843 6844 6845 6846 6847 6848 6849 6850 6851 6852 6853 6854 6855 6856 6857 6858 6859 6860 6861 6862 6863 6864 6865 6866 6867 6868 6869 6870 6871 6872 6873 6874 6875 6876 6877 6878 6879 6880 6881 6882 6883 6884 6885 6886 6887 6888 6889 6890 6891 6892 6893 6894 6895 6896 6897 6898 6899 6900 6901 6902 6903 6904 6905 6906 6907 6908 6909 6910 6911 6912 6913 6914 6915 6916 6917 6918 6919 6920 6921 6922 6923 6924 6925 6926 6927 6928 6929 6930 6931 6932 6933 6934 6935 6936 6937 6938 6939 6940 6941 6942 6943 6944 6945 6946 6947 6948 6949 6950 6951 6952 6953 6954 6955 6956 6957 6958 6959 6960 6961 6962 6963 6964 6965 6966 6967 6968 6969 6970 6971 6972 6973 6974 6975 6976 6977 6978 6979 6980 6981 6982 6983 6984 6985 6986 6987 6988 6989 6990 6991 6992 6993 6994 6995 6996 6997 6998 6999 7000 7001 7002 7003 7004 7005 7006 7007 7008 7009 7010 7011 7012 7013 7014 7015 7016 7017 7018 7019 7020 7021 7022 7023 7024 7025 7026 7027 7028 7029 7030 7031 7032 7033 7034 7035 7036 7037 7038 7039 7040 7041 7042 7043 7044 7045 7046 7047 7048 7049 7050 7051 7052 7053 7054 7055 7056 7057 7058 7059 7060 7061 7062 7063 7064 7065 7066 7067 7068 7069 7070 7071 7072 7073 7074 7075 7076 7077 7078 7079 7080 7081 7082 7083 7084 7085 7086 7087 7088 7089 7090 7091 7092 7093 7094 7095 7096 7097 7098 7099 7100 7101 7102 7103 7104 7105 7106 7107 7108 7109 7110 7111 7112 7113 7114 7115 7116 7117 7118 7119 7120 7121 7122 7123 7124 7125 7126 7127 7128 7129 7130 7131 7132 7133 7134 7135 7136 7137 7138 7139 7140 7141 7142 7143 7144 7145 7146 7147 7148 7149 7150 7151 7152 7153 7154 7155 7156 7157 7158 7159 7160 7161 7162 7163 7164 7165 [ 2019-11-25 12:33:17,631 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:17,683 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:17,715 ] [ DEBUG ] [ eliminate:242 ] Removing op node: dropout/Identity [ 2019-11-25 12:33:17,734 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:17,753 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:17,791 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:17,880 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 7166 7167 7168 7169 7170 7171 7172 7173 7174 7175 7176 7177 7178 7179 7180 7181 7182 7183 7184 7185 7186 7187 7188 7189 7190 7191 7192 7193 7194 7195 7196 7197 7198 7199 7200 7201 7202 7203 7204 7205 7206 7207 7208 7209 7210 7211 7212 7213 7214 7215 7216 7217 7218 7219 7220 7221 7222 7223 7224 7225 7226 7227 7228 7229 7230 7231 7232 7233 7234 7235 7236 7237 7238 7239 7240 7241 7242 7243 7244 7245 7246 7247 7248 7249 7250 7251 7252 7253 7254 7255 7256 7257 7258 7259 7260 7261 7262 7263 7264 7265 7266 7267 7268 7269 7270 7271 7272 7273 7274 7275 7276 7277 7278 7279 7280 7281 7282 7283 7284 7285 7286 7287 7288 7289 7290 7291 7292 7293 7294 7295 7296 7297 7298 7299 7300 7301 7302 7303 7304 7305 7306 7307 7308 7309 7310 7311 7312 7313 7314 7315 7316 7317 7318 7319 7320 7321 7322 7323 7324 7325 7326 7327 7328 7329 7330 7331 7332 7333 7334 7335 7336 7337 7338 7339 7340 7341 7342 7343 7344 7345 7346 7347 7348 7349 7350 7351 7352 7353 7354 7355 7356 7357 7358 7359 7360 7361 7362 7363 7364 7365 7366 7367 7368 7369 7370 7371 7372 7373 7374 7375 7376 7377 7378 7379 7380 7381 7382 7383 7384 7385 7386 7387 7388 7389 7390 7391 7392 7393 7394 7395 7396 7397 7398 7399 7400 7401 7402 7403 7404 7405 7406 7407 7408 7409 7410 7411 7412 7413 7414 7415 7416 7417 7418 7419 7420 7421 7422 7423 7424 7425 7426 7427 7428 7429 7430 7431 7432 7433 7434 7435 7436 7437 7438 7439 7440 7441 7442 7443 7444 7445 7446 7447 7448 7449 7450 7451 7452 7453 7454 7455 7456 7457 7458 7459 7460 7461 7462 7463 7464 7465 7466 7467 7468 7469 7470 7471 7472 7473 7474 7475 7476 7477 7478 7479 7480 7481 7482 7483 7484 7485 7486 7487 7488 7489 7490 7491 7492 7493 7494 7495 7496 7497 7498 7499 7500 7501 7502 7503 7504 7505 7506 7507 7508 7509 7510 7511 7512 7513 7514 7515 7516 7517 7518 7519 7520 7521 7522 7523 7524 7525 7526 7527 7528 7529 7530 7531 7532 7533 7534 7535 7536 7537 7538 7539 7540 7541 7542 7543 7544 7545 7546 7547 7548 7549 7550 7551 7552 7553 7554 7555 7556 7557 7558 7559 7560 7561 7562 7563 7564 7565 7566 7567 7568 7569 7570 7571 7572 7573 7574 7575 7576 7577 7578 7579 7580 7581 7582 7583 7584 7585 7586 7587 7588 7589 7590 7591 7592 7593 7594 7595 7596 7597 7598 7599 7600 7601 7602 7603 7604 7605 7606 7607 7608 7609 7610 7611 7612 7613 7614 7615 7616 7617 7618 7619 7620 7621 7622 7623 7624 7625 7626 7627 7628 7629 7630 7631 7632 7633 7634 7635 7636 7637 7638 7639 7640 7641 7642 7643 7644 [ 2019-11-25 12:33:18,053 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,091 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:18,182 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 7645 7646 7647 7648 7649 7650 7651 7652 7653 7654 7655 7656 7657 7658 7659 7660 7661 7662 7663 7664 7665 7666 7667 7668 7669 7670 7671 7672 7673 7674 7675 7676 7677 7678 7679 7680 7681 7682 7683 7684 7685 7686 7687 7688 7689 7690 7691 7692 7693 7694 7695 7696 7697 7698 7699 7700 7701 7702 7703 7704 7705 7706 7707 7708 7709 7710 7711 7712 7713 7714 7715 7716 7717 7718 7719 7720 7721 7722 7723 7724 7725 7726 7727 7728 7729 7730 7731 7732 7733 7734 7735 7736 7737 7738 7739 7740 7741 7742 7743 7744 7745 7746 7747 7748 7749 7750 7751 7752 7753 7754 7755 7756 7757 7758 7759 7760 7761 7762 7763 7764 7765 7766 7767 7768 7769 7770 7771 7772 7773 7774 7775 7776 7777 7778 7779 7780 7781 7782 7783 7784 7785 7786 7787 7788 7789 7790 7791 7792 7793 7794 7795 7796 7797 7798 7799 7800 7801 7802 7803 7804 7805 7806 7807 7808 7809 7810 7811 7812 7813 7814 7815 7816 7817 7818 7819 7820 7821 7822 7823 7824 7825 7826 7827 7828 7829 7830 7831 7832 7833 7834 7835 7836 7837 7838 7839 7840 7841 7842 7843 7844 7845 7846 7847 7848 7849 7850 7851 7852 7853 7854 7855 7856 7857 7858 7859 7860 7861 7862 7863 7864 7865 7866 7867 7868 7869 7870 7871 7872 7873 7874 7875 7876 7877 7878 7879 7880 7881 7882 7883 7884 7885 7886 7887 7888 7889 7890 7891 7892 7893 7894 7895 7896 7897 7898 7899 7900 7901 7902 7903 7904 7905 7906 7907 7908 7909 7910 7911 7912 7913 7914 7915 7916 7917 7918 7919 7920 7921 7922 7923 7924 7925 7926 7927 7928 7929 7930 7931 7932 7933 7934 7935 7936 7937 7938 7939 7940 7941 7942 7943 7944 7945 7946 7947 7948 7949 7950 7951 7952 7953 7954 7955 7956 7957 7958 7959 7960 7961 7962 7963 7964 7965 7966 7967 7968 7969 7970 7971 7972 7973 7974 7975 7976 7977 7978 7979 7980 7981 7982 7983 7984 7985 7986 7987 7988 7989 7990 7991 7992 7993 7994 7995 7996 7997 7998 7999 8000 8001 8002 8003 8004 8005 8006 8007 8008 8009 8010 8011 8012 8013 8014 8015 8016 8017 8018 8019 8020 8021 8022 8023 8024 8025 8026 8027 8028 8029 8030 8031 8032 8033 8034 8035 8036 8037 8038 8039 8040 8041 8042 8043 8044 8045 8046 8047 8048 8049 8050 8051 8052 8053 8054 8055 8056 8057 8058 8059 8060 8061 8062 8063 8064 8065 8066 8067 8068 8069 8070 8071 8072 8073 8074 8075 8076 8077 8078 8079 8080 8081 8082 8083 8084 8085 8086 8087 8088 8089 8090 8091 8092 8093 8094 8095 8096 8097 8098 8099 8100 8101 8102 8103 8104 8105 8106 8107 8108 8109 8110 8111 8112 8113 8114 8115 8116 8117 8118 8119 8120 8121 8122 8123 [ 2019-11-25 12:33:18,273 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,325 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,376 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,467 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,518 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ INFO ] Skip replacer (enabled = False) [ INFO ] Skip replacer (enabled = False) [ INFO ] Skip replacer (enabled = False) [ INFO ] Skip replacer (enabled = False) [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:18,595 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:18,640 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,691 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:18,743 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,787 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,832 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,876 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:18,921 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-11-25 12:33:18,965 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-11-25 12:33:19,054 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:19,092 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:19,182 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 8124 8125 8126 8127 8128 8129 8130 8131 8132 8133 8134 8135 8136 8137 8138 8139 8140 8141 8142 8143 8144 8145 8146 8147 8148 8149 8150 8151 8152 8153 8154 8155 8156 8157 8158 8159 8160 8161 8162 8163 8164 8165 8166 8167 8168 8169 8170 8171 8172 8173 8174 8175 8176 8177 8178 8179 8180 8181 8182 8183 8184 8185 8186 8187 8188 8189 8190 8191 8192 8193 8194 8195 8196 8197 8198 8199 8200 8201 8202 8203 8204 8205 8206 8207 8208 8209 8210 8211 8212 8213 8214 8215 8216 8217 8218 8219 8220 8221 8222 8223 8224 8225 8226 8227 8228 8229 8230 8231 8232 8233 8234 8235 8236 8237 8238 8239 8240 8241 8242 8243 8244 8245 8246 8247 8248 8249 8250 8251 8252 8253 8254 8255 8256 8257 8258 8259 8260 8261 8262 8263 8264 8265 8266 8267 8268 8269 8270 8271 8272 8273 8274 8275 8276 8277 8278 8279 8280 8281 8282 8283 8284 8285 8286 8287 8288 8289 8290 8291 8292 8293 8294 8295 8296 8297 8298 8299 8300 8301 8302 8303 8304 8305 8306 8307 8308 8309 8310 8311 8312 8313 8314 8315 8316 8317 8318 8319 8320 8321 8322 8323 8324 8325 8326 8327 8328 8329 8330 8331 8332 8333 8334 8335 8336 8337 8338 8339 8340 8341 8342 8343 8344 8345 8346 8347 8348 8349 8350 8351 8352 8353 8354 8355 8356 8357 8358 8359 8360 8361 8362 8363 8364 8365 8366 8367 8368 8369 8370 8371 8372 8373 8374 8375 8376 8377 8378 8379 8380 8381 8382 8383 8384 8385 8386 8387 8388 8389 8390 8391 8392 8393 8394 8395 8396 8397 8398 8399 8400 8401 8402 8403 8404 8405 8406 8407 8408 8409 8410 8411 8412 8413 8414 8415 8416 8417 8418 8419 8420 8421 8422 8423 8424 8425 8426 8427 8428 8429 8430 8431 8432 8433 8434 8435 8436 8437 8438 8439 8440 8441 8442 8443 8444 8445 8446 8447 8448 8449 8450 8451 8452 8453 8454 8455 8456 8457 8458 8459 8460 8461 8462 8463 8464 8465 8466 8467 8468 8469 8470 8471 8472 8473 8474 8475 8476 8477 8478 8479 8480 8481 8482 8483 8484 8485 8486 8487 8488 8489 8490 8491 8492 8493 8494 8495 8496 8497 8498 8499 8500 8501 8502 8503 8504 8505 8506 8507 8508 8509 8510 8511 8512 8513 8514 8515 8516 8517 8518 8519 8520 8521 8522 8523 8524 8525 8526 8527 8528 8529 8530 8531 8532 8533 8534 8535 8536 8537 8538 8539 8540 8541 8542 8543 8544 8545 8546 8547 8548 8549 8550 8551 8552 8553 8554 8555 8556 8557 8558 8559 8560 8561 8562 8563 8564 8565 8566 8567 8568 8569 8570 8571 8572 8573 8574 8575 8576 8577 8578 8579 8580 8581 8582 8583 8584 8585 8586 8587 8588 8589 8590 8591 8592 8593 8594 8595 8596 8597 8598 8599 8600 8601 8602 [ 2019-11-25 12:33:19,271 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:19,323 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:19,387 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:19,438 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:19,463 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:19,552 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 8603 8604 8605 8606 8607 8608 8609 8610 8611 8612 8613 8614 8615 8616 8617 8618 8619 8620 8621 8622 8623 8624 8625 8626 8627 8628 8629 8630 8631 8632 8633 8634 8635 8636 8637 8638 8639 8640 8641 8642 8643 8644 8645 8646 8647 8648 8649 8650 8651 8652 8653 8654 8655 8656 8657 8658 8659 8660 8661 8662 8663 8664 8665 8666 8667 8668 8669 8670 8671 8672 8673 8674 8675 8676 8677 8678 8679 8680 8681 8682 8683 8684 8685 8686 8687 8688 8689 8690 8691 8692 8693 8694 8695 8696 8697 8698 8699 8700 8701 8702 8703 8704 8705 8706 8707 8708 8709 8710 8711 8712 8713 8714 8715 8716 8717 8718 8719 8720 8721 8722 8723 8724 8725 8726 8727 8728 8729 8730 8731 8732 8733 8734 8735 8736 8737 8738 8739 8740 8741 8742 8743 8744 8745 8746 8747 8748 8749 8750 8751 8752 8753 8754 8755 8756 8757 8758 8759 8760 8761 8762 8763 8764 8765 8766 8767 8768 8769 8770 8771 8772 8773 8774 8775 8776 8777 8778 8779 8780 8781 8782 8783 8784 8785 8786 8787 8788 8789 8790 8791 8792 8793 8794 8795 8796 8797 8798 8799 8800 8801 8802 8803 8804 8805 8806 8807 8808 8809 8810 8811 8812 8813 8814 8815 8816 8817 8818 8819 8820 8821 8822 8823 8824 8825 8826 8827 8828 8829 8830 8831 8832 8833 8834 8835 8836 8837 8838 8839 8840 8841 8842 8843 8844 8845 8846 8847 8848 8849 8850 8851 8852 8853 8854 8855 8856 8857 8858 8859 8860 8861 8862 8863 8864 8865 8866 8867 8868 8869 8870 8871 8872 8873 8874 8875 8876 8877 8878 8879 8880 8881 8882 8883 8884 8885 8886 8887 8888 8889 8890 8891 8892 8893 8894 8895 8896 8897 8898 8899 8900 8901 8902 8903 8904 8905 8906 8907 8908 8909 8910 8911 8912 8913 8914 8915 8916 8917 8918 8919 8920 8921 8922 8923 8924 8925 8926 8927 8928 8929 8930 8931 8932 8933 8934 8935 8936 8937 8938 8939 8940 8941 8942 8943 8944 8945 8946 8947 8948 8949 8950 8951 8952 8953 8954 8955 8956 8957 8958 8959 8960 8961 8962 8963 8964 8965 8966 8967 8968 8969 8970 8971 8972 8973 8974 8975 8976 8977 8978 8979 8980 8981 8982 8983 8984 8985 8986 8987 8988 8989 8990 8991 8992 8993 8994 8995 8996 8997 8998 8999 9000 9001 9002 9003 9004 9005 9006 9007 9008 9009 9010 9011 9012 9013 9014 9015 9016 9017 9018 9019 9020 9021 9022 9023 9024 9025 9026 9027 9028 9029 9030 9031 9032 9033 9034 9035 9036 9037 9038 9039 9040 9041 9042 9043 9044 9045 9046 9047 9048 9049 9050 9051 9052 9053 9054 9055 9056 9057 9058 9059 9060 9061 9062 9063 9064 9065 9066 9067 9068 9069 9070 9071 9072 9073 9074 9075 9076 9077 9078 9079 9080 9081 [ INFO ] Skip replacer (enabled = False) [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:19,641 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (graph_condition not satisfied) [ 2019-11-25 12:33:19,732 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:19,770 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:19,860 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 9082 9083 9084 9085 9086 9087 9088 9089 9090 9091 9092 9093 9094 9095 9096 9097 9098 9099 9100 9101 9102 9103 9104 9105 9106 9107 9108 9109 9110 9111 9112 9113 9114 9115 9116 9117 9118 9119 9120 9121 9122 9123 9124 9125 9126 9127 9128 9129 9130 9131 9132 9133 9134 9135 9136 9137 9138 9139 9140 9141 9142 9143 9144 9145 9146 9147 9148 9149 9150 9151 9152 9153 9154 9155 9156 9157 9158 9159 9160 9161 9162 9163 9164 9165 9166 9167 9168 9169 9170 9171 9172 9173 9174 9175 9176 9177 9178 9179 9180 9181 9182 9183 9184 9185 9186 9187 9188 9189 9190 9191 9192 9193 9194 9195 9196 9197 9198 9199 9200 9201 9202 9203 9204 9205 9206 9207 9208 9209 9210 9211 9212 9213 9214 9215 9216 9217 9218 9219 9220 9221 9222 9223 9224 9225 9226 9227 9228 9229 9230 9231 9232 9233 9234 9235 9236 9237 9238 9239 9240 9241 9242 9243 9244 9245 9246 9247 9248 9249 9250 9251 9252 9253 9254 9255 9256 9257 9258 9259 9260 9261 9262 9263 9264 9265 9266 9267 9268 9269 9270 9271 9272 9273 9274 9275 9276 9277 9278 9279 9280 9281 9282 9283 9284 9285 9286 9287 9288 9289 9290 9291 9292 9293 9294 9295 9296 9297 9298 9299 9300 9301 9302 9303 9304 9305 9306 9307 9308 9309 9310 9311 9312 9313 9314 9315 9316 9317 9318 9319 9320 9321 9322 9323 9324 9325 9326 9327 9328 9329 9330 9331 9332 9333 9334 9335 9336 9337 9338 9339 9340 9341 9342 9343 9344 9345 9346 9347 9348 9349 9350 9351 9352 9353 9354 9355 9356 9357 9358 9359 9360 9361 9362 9363 9364 9365 9366 9367 9368 9369 9370 9371 9372 9373 9374 9375 9376 9377 9378 9379 9380 9381 9382 9383 9384 9385 9386 9387 9388 9389 9390 9391 9392 9393 9394 9395 9396 9397 9398 9399 9400 9401 9402 9403 9404 9405 9406 9407 9408 9409 9410 9411 9412 9413 9414 9415 9416 9417 9418 9419 9420 9421 9422 9423 9424 9425 9426 9427 9428 9429 9430 9431 9432 9433 9434 9435 9436 9437 9438 9439 9440 9441 9442 9443 9444 9445 9446 9447 9448 9449 9450 9451 9452 9453 9454 9455 9456 9457 9458 9459 9460 9461 9462 9463 9464 9465 9466 9467 9468 9469 9470 9471 9472 9473 9474 9475 9476 9477 9478 9479 9480 9481 9482 9483 9484 9485 9486 9487 9488 9489 9490 9491 9492 9493 9494 9495 9496 9497 9498 9499 9500 9501 9502 9503 9504 9505 9506 9507 9508 9509 9510 9511 9512 9513 9514 9515 9516 9517 9518 9519 9520 9521 9522 9523 9524 9525 9526 9527 9528 9529 9530 9531 9532 9533 9534 9535 9536 9537 9538 9539 9540 9541 9542 9543 9544 9545 9546 9547 9548 9549 9550 9551 9552 9553 9554 9555 9556 9557 9558 9559 9560 [ 2019-11-25 12:33:19,950 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,028 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,059 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,083 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,122 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:20,213 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 10000 10001 10002 10003 10004 10005 10006 10007 10008 10009 10010 10011 10012 10013 10014 10015 10016 10017 10018 10019 10020 10021 10022 10023 10024 10025 10026 10027 10028 10029 10030 10031 10032 10033 10034 10035 10036 10037 10038 10039 9561 9562 9563 9564 9565 9566 9567 9568 9569 9570 9571 9572 9573 9574 9575 9576 9577 9578 9579 9580 9581 9582 9583 9584 9585 9586 9587 9588 9589 9590 9591 9592 9593 9594 9595 9596 9597 9598 9599 9600 9601 9602 9603 9604 9605 9606 9607 9608 9609 9610 9611 9612 9613 9614 9615 9616 9617 9618 9619 9620 9621 9622 9623 9624 9625 9626 9627 9628 9629 9630 9631 9632 9633 9634 9635 9636 9637 9638 9639 9640 9641 9642 9643 9644 9645 9646 9647 9648 9649 9650 9651 9652 9653 9654 9655 9656 9657 9658 9659 9660 9661 9662 9663 9664 9665 9666 9667 9668 9669 9670 9671 9672 9673 9674 9675 9676 9677 9678 9679 9680 9681 9682 9683 9684 9685 9686 9687 9688 9689 9690 9691 9692 9693 9694 9695 9696 9697 9698 9699 9700 9701 9702 9703 9704 9705 9706 9707 9708 9709 9710 9711 9712 9713 9714 9715 9716 9717 9718 9719 9720 9721 9722 9723 9724 9725 9726 9727 9728 9729 9730 9731 9732 9733 9734 9735 9736 9737 9738 9739 9740 9741 9742 9743 9744 9745 9746 9747 9748 9749 9750 9751 9752 9753 9754 9755 9756 9757 9758 9759 9760 9761 9762 9763 9764 9765 9766 9767 9768 9769 9770 9771 9772 9773 9774 9775 9776 9777 9778 9779 9780 9781 9782 9783 9784 9785 9786 9787 9788 9789 9790 9791 9792 9793 9794 9795 9796 9797 9798 9799 9800 9801 9802 9803 9804 9805 9806 9807 9808 9809 9810 9811 9812 9813 9814 9815 9816 9817 9818 9819 9820 9821 9822 9823 9824 9825 9826 9827 9828 9829 9830 9831 9832 9833 9834 9835 9836 9837 9838 9839 9840 9841 9842 9843 9844 9845 9846 9847 9848 9849 9850 9851 9852 9853 9854 9855 9856 9857 9858 9859 9860 9861 9862 9863 9864 9865 9866 9867 9868 9869 9870 9871 9872 9873 9874 9875 9876 9877 9878 9879 9880 9881 9882 9883 9884 9885 9886 9887 9888 9889 9890 9891 9892 9893 9894 9895 9896 9897 9898 9899 9900 9901 9902 9903 9904 9905 9906 9907 9908 9909 9910 9911 9912 9913 9914 9915 9916 9917 9918 9919 9920 9921 9922 9923 9924 9925 9926 9927 9928 9929 9930 9931 9932 9933 9934 9935 9936 9937 9938 9939 9940 9941 9942 9943 9944 9945 9946 9947 9948 9949 9950 9951 9952 9953 9954 9955 9956 9957 9958 9959 9960 9961 9962 9963 9964 9965 9966 9967 9968 9969 9970 9971 9972 9973 9974 9975 9976 9977 9978 9979 9980 9981 9982 9983 9984 9985 9986 9987 9988 9989 9990 9991 9992 9993 9994 9995 9996 9997 9998 9999 [ 2019-11-25 12:33:20,304 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,438 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,489 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,535 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,566 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:20,657 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 10040 10041 10042 10043 10044 10045 10046 10047 10048 10049 10050 10051 10052 10053 10054 10055 10056 10057 10058 10059 10060 10061 10062 10063 10064 10065 10066 10067 10068 10069 10070 10071 10072 10073 10074 10075 10076 10077 10078 10079 10080 10081 10082 10083 10084 10085 10086 10087 10088 10089 10090 10091 10092 10093 10094 10095 10096 10097 10098 10099 10100 10101 10102 10103 10104 10105 10106 10107 10108 10109 10110 10111 10112 10113 10114 10115 10116 10117 10118 10119 10120 10121 10122 10123 10124 10125 10126 10127 10128 10129 10130 10131 10132 10133 10134 10135 10136 10137 10138 10139 10140 10141 10142 10143 10144 10145 10146 10147 10148 10149 10150 10151 10152 10153 10154 10155 10156 10157 10158 10159 10160 10161 10162 10163 10164 10165 10166 10167 10168 10169 10170 10171 10172 10173 10174 10175 10176 10177 10178 10179 10180 10181 10182 10183 10184 10185 10186 10187 10188 10189 10190 10191 10192 10193 10194 10195 10196 10197 10198 10199 10200 10201 10202 10203 10204 10205 10206 10207 10208 10209 10210 10211 10212 10213 10214 10215 10216 10217 10218 10219 10220 10221 10222 10223 10224 10225 10226 10227 10228 10229 10230 10231 10232 10233 10234 10235 10236 10237 10238 10239 10240 10241 10242 10243 10244 10245 10246 10247 10248 10249 10250 10251 10252 10253 10254 10255 10256 10257 10258 10259 10260 10261 10262 10263 10264 10265 10266 10267 10268 10269 10270 10271 10272 10273 10274 10275 10276 10277 10278 10279 10280 10281 10282 10283 10284 10285 10286 10287 10288 10289 10290 10291 10292 10293 10294 10295 10296 10297 10298 10299 10300 10301 10302 10303 10304 10305 10306 10307 10308 10309 10310 10311 10312 10313 10314 10315 10316 10317 10318 10319 10320 10321 10322 10323 10324 10325 10326 10327 10328 10329 10330 10331 10332 10333 10334 10335 10336 10337 10338 10339 10340 10341 10342 10343 10344 10345 10346 10347 10348 10349 10350 10351 10352 10353 10354 10355 10356 10357 10358 10359 10360 10361 10362 10363 10364 10365 10366 10367 10368 10369 10370 10371 10372 10373 10374 10375 10376 10377 10378 10379 10380 10381 10382 10383 10384 10385 10386 10387 10388 10389 10390 10391 10392 10393 10394 10395 10396 10397 10398 10399 10400 10401 10402 10403 10404 10405 10406 10407 10408 10409 10410 10411 10412 10413 10414 10415 10416 10417 10418 10419 10420 10421 10422 10423 10424 10425 10426 10427 10428 10429 10430 10431 10432 10433 10434 10435 10436 10437 10438 10439 10440 10441 10442 10443 10444 10445 10446 10447 10448 10449 10450 10451 10452 10453 10454 10455 10456 10457 10458 10459 10460 10461 10462 10463 10464 10465 10466 10467 10468 10469 10470 10471 10472 10473 10474 10475 10476 10477 10478 10479 10480 10481 10482 10483 10484 10485 10486 10487 10488 10489 10490 10491 10492 10493 10494 10495 10496 10497 10498 10499 10500 10501 10502 10503 10504 10505 10506 10507 10508 10509 10510 10511 10512 10513 10514 10515 10516 10517 10518 [ 2019-11-25 12:33:20,747 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,837 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:20,929 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:21,014 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:21,036 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:21,074 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:21,165 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 10519 10520 10521 10522 10523 10524 10525 10526 10527 10528 10529 10530 10531 10532 10533 10534 10535 10536 10537 10538 10539 10540 10541 10542 10543 10544 10545 10546 10547 10548 10549 10550 10551 10552 10553 10554 10555 10556 10557 10558 10559 10560 10561 10562 10563 10564 10565 10566 10567 10568 10569 10570 10571 10572 10573 10574 10575 10576 10577 10578 10579 10580 10581 10582 10583 10584 10585 10586 10587 10588 10589 10590 10591 10592 10593 10594 10595 10596 10597 10598 10599 10600 10601 10602 10603 10604 10605 10606 10607 10608 10609 10610 10611 10612 10613 10614 10615 10616 10617 10618 10619 10620 10621 10622 10623 10624 10625 10626 10627 10628 10629 10630 10631 10632 10633 10634 10635 10636 10637 10638 10639 10640 10641 10642 10643 10644 10645 10646 10647 10648 10649 10650 10651 10652 10653 10654 10655 10656 10657 10658 10659 10660 10661 10662 10663 10664 10665 10666 10667 10668 10669 10670 10671 10672 10673 10674 10675 10676 10677 10678 10679 10680 10681 10682 10683 10684 10685 10686 10687 10688 10689 10690 10691 10692 10693 10694 10695 10696 10697 10698 10699 10700 10701 10702 10703 10704 10705 10706 10707 10708 10709 10710 10711 10712 10713 10714 10715 10716 10717 10718 10719 10720 10721 10722 10723 10724 10725 10726 10727 10728 10729 10730 10731 10732 10733 10734 10735 10736 10737 10738 10739 10740 10741 10742 10743 10744 10745 10746 10747 10748 10749 10750 10751 10752 10753 10754 10755 10756 10757 10758 10759 10760 10761 10762 10763 10764 10765 10766 10767 10768 10769 10770 10771 10772 10773 10774 10775 10776 10777 10778 10779 10780 10781 10782 10783 10784 10785 10786 10787 10788 10789 10790 10791 10792 10793 10794 10795 10796 10797 10798 10799 10800 10801 10802 10803 10804 10805 10806 10807 10808 10809 10810 10811 10812 10813 10814 10815 10816 10817 10818 10819 10820 10821 10822 10823 10824 10825 10826 10827 10828 10829 10830 10831 10832 10833 10834 10835 10836 10837 10838 10839 10840 10841 10842 10843 10844 10845 10846 10847 10848 10849 10850 10851 10852 10853 10854 10855 10856 10857 10858 10859 10860 10861 10862 10863 10864 10865 10866 10867 10868 10869 10870 10871 10872 10873 10874 10875 10876 10877 10878 10879 10880 10881 10882 10883 10884 10885 10886 10887 10888 10889 10890 10891 10892 10893 10894 10895 10896 10897 10898 10899 10900 10901 10902 10903 10904 10905 10906 10907 10908 10909 10910 10911 10912 10913 10914 10915 10916 10917 10918 10919 10920 10921 10922 10923 10924 10925 10926 10927 10928 10929 10930 10931 10932 10933 10934 10935 10936 10937 10938 10939 10940 10941 10942 10943 10944 10945 10946 10947 10948 10949 10950 10951 10952 10953 10954 10955 10956 10957 10958 10959 10960 10961 10962 10963 10964 10965 10966 10967 10968 10969 10970 10971 10972 10973 10974 10975 10976 10977 10978 10979 10980 10981 10982 10983 10984 10985 10986 10987 10988 10989 10990 10991 10992 10993 10994 10995 10996 10997 dense/BiasAdd dense/BiasAdd/Output_0/Data_ dense_1/BiasAdd dense_1/BiasAdd/Output_0/Data_ predictions/BiasAdd predictions/BiasAdd/Output_0/Data_ [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (graph_condition not satisfied) [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:21,254 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:21,306 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:21,326 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ 2019-11-25 12:33:21,365 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:21,455 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 11004 11005 11006 11007 11008 11009 11010 11011 11012 11013 11014 11015 11016 11017 11018 11019 11020 11021 11022 11023 11024 11025 11026 11027 11028 11029 11030 11031 11032 11033 11034 11035 11036 11037 11038 11039 11040 11041 11042 11043 11044 11045 11046 11047 11048 11049 11050 11051 11052 11053 11054 11055 11056 11057 11058 11059 11060 11061 11062 11063 11064 11065 11066 11067 11068 11069 11070 11071 11072 11073 11074 11075 11076 11077 11078 11079 11080 11081 11082 11083 11084 11085 11086 11087 11088 11089 11090 11091 11092 11093 11094 11095 11096 11097 11098 11099 11100 11101 11102 11103 11104 11105 11106 11107 11108 11109 11110 11111 11112 11113 11114 11115 11116 11117 11118 11119 11120 11121 11122 11123 11124 11125 11126 11127 11128 11129 11130 11131 11132 11133 11134 11135 11136 11137 11138 11139 11140 11141 11142 11143 11144 11145 11146 11147 11148 11149 11150 11151 11152 11153 11154 11155 11156 11157 11158 11159 11160 11161 11162 11163 11164 11165 11166 11167 11168 11169 11170 11171 11172 11173 11174 11175 11176 11177 11178 11179 11180 11181 11182 11183 11184 11185 11186 11187 11188 11189 11190 11191 11192 11193 11194 11195 11196 11197 11198 11199 11200 11201 11202 11203 11204 11205 11206 11207 11208 11209 11210 11211 11212 11213 11214 11215 11216 11217 11218 11219 11220 11221 11222 11223 11224 11225 11226 11227 11228 11229 11230 11231 11232 11233 11234 11235 11236 11237 11238 11239 11240 11241 11242 11243 11244 11245 11246 11247 11248 11249 11250 11251 11252 11253 11254 11255 11256 11257 11258 11259 11260 11261 11262 11263 11264 11265 11266 11267 11268 11269 11270 11271 11272 11273 11274 11275 11276 11277 11278 11279 11280 11281 11282 11283 11284 11285 11286 11287 11288 11289 11290 11291 11292 11293 11294 11295 11296 11297 11298 11299 11300 11301 11302 11303 11304 11305 11306 11307 11308 11309 11310 11311 11312 11313 11314 11315 11316 11317 11318 11319 11320 11321 11322 11323 11324 11325 11326 11327 11328 11329 11330 11331 11332 11333 11334 11335 11336 11337 11338 11339 11340 11341 11342 11343 11344 11345 11346 11347 11348 11349 11350 11351 11352 11353 11354 11355 11356 11357 11358 11359 11360 11361 11362 11363 11364 11365 11366 11367 11368 11369 11370 11371 11372 11373 11374 11375 11376 11377 11378 11379 11380 11381 11382 11383 11384 11385 11386 11387 11388 11389 11390 11391 11392 11393 11394 11395 11396 11397 11398 11399 11400 11401 11402 11403 11404 11405 11406 11407 11408 11409 11410 11411 11412 11413 11414 11415 11416 11417 11418 11419 11420 11421 11422 11423 11424 11425 11426 11427 11428 11429 11430 11431 11432 11433 11434 11435 11436 11437 11438 11439 11440 11441 11442 11443 11444 11445 11446 11447 11448 11449 11450 11451 11452 11453 11454 11455 11456 11457 11458 11459 11460 11461 11462 11463 11464 11465 11466 11467 11468 11469 11470 11471 11472 11473 11474 11475 11476 11477 11478 11479 11480 11481 11482 [ 2019-11-25 12:33:21,545 ] [ DEBUG ] [ class_registration:267 ] Run replacer [ INFO ] Skip replacer (enabled = False) [ 2019-11-25 12:33:21,738 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:21,828 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 11483 11484 11485 11486 11487 11488 11489 11490 11491 11492 11493 11494 11495 11496 11497 11498 11499 11500 11501 11502 11503 11504 11505 11506 11507 11508 11509 11510 11511 11512 11513 11514 11515 11516 11517 11518 11519 11520 11521 11522 11523 11524 11525 11526 11527 11528 11529 11530 11531 11532 11533 11534 11535 11536 11537 11538 11539 11540 11541 11542 11543 11544 11545 11546 11547 11548 11549 11550 11551 11552 11553 11554 11555 11556 11557 11558 11559 11560 11561 11562 11563 11564 11565 11566 11567 11568 11569 11570 11571 11572 11573 11574 11575 11576 11577 11578 11579 11580 11581 11582 11583 11584 11585 11586 11587 11588 11589 11590 11591 11592 11593 11594 11595 11596 11597 11598 11599 11600 11601 11602 11603 11604 11605 11606 11607 11608 11609 11610 11611 11612 11613 11614 11615 11616 11617 11618 11619 11620 11621 11622 11623 11624 11625 11626 11627 11628 11629 11630 11631 11632 11633 11634 11635 11636 11637 11638 11639 11640 11641 11642 11643 11644 11645 11646 11647 11648 11649 11650 11651 11652 11653 11654 11655 11656 11657 11658 11659 11660 11661 11662 11663 11664 11665 11666 11667 11668 11669 11670 11671 11672 11673 11674 11675 11676 11677 11678 11679 11680 11681 11682 11683 11684 11685 11686 11687 11688 11689 11690 11691 11692 11693 11694 11695 11696 11697 11698 11699 11700 11701 11702 11703 11704 11705 11706 11707 11708 11709 11710 11711 11712 11713 11714 11715 11716 11717 11718 11719 11720 11721 11722 11723 11724 11725 11726 11727 11728 11729 11730 11731 11732 11733 11734 11735 11736 11737 11738 11739 11740 11741 11742 11743 11744 11745 11746 11747 11748 11749 11750 11751 11752 11753 11754 11755 11756 11757 11758 11759 11760 11761 11762 11763 11764 11765 11766 11767 11768 11769 11770 11771 11772 11773 11774 11775 11776 11777 11778 11779 11780 11781 11782 11783 11784 11785 11786 11787 11788 11789 11790 11791 11792 11793 11794 11795 11796 11797 11798 11799 11800 11801 11802 11803 11804 11805 11806 11807 11808 11809 11810 11811 11812 11813 11814 11815 11816 11817 11818 11819 11820 11821 11822 11823 11824 11825 11826 11827 11828 11829 11830 11831 11832 11833 11834 11835 11836 11837 11838 11839 11840 11841 11842 11843 11844 11845 11846 11847 11848 11849 11850 11851 11852 11853 11854 11855 11856 11857 11858 11859 11860 11861 11862 11863 11864 11865 11866 11867 11868 11869 11870 11871 11872 11873 11874 11875 11876 11877 11878 11879 11880 11881 11882 11883 11884 11885 11886 11887 11888 11889 11890 11891 11892 11893 11894 11895 11896 11897 11898 11899 11900 11901 11902 11903 11904 11905 11906 11907 11908 11909 11910 11911 11912 11913 11914 11915 11916 11917 11918 11919 11920 11921 11922 11923 11924 11925 11926 11927 11928 11929 11930 11931 11932 11933 11934 11935 11936 11937 11938 11939 11940 11941 11942 11943 11944 11945 11946 11947 11948 11949 11950 11951 11952 11953 11954 11955 11956 11957 11958 11959 11960 11961 [ 2019-11-25 12:33:21,934 ] [ DEBUG ] [ conv:91 ] fully_connected_matched [ 2019-11-25 12:33:21,934 ] [ DEBUG ] [ conv:98 ] len(input.shape) = 2, len(weights.shape) = 2, len(weights_consumers) = 1 [ 2019-11-25 12:33:21,934 ] [ DEBUG ] [ conv:91 ] fully_connected_matched [ 2019-11-25 12:33:21,934 ] [ DEBUG ] [ conv:98 ] len(input.shape) = 2, len(weights.shape) = 2, len(weights_consumers) = 1 [ 2019-11-25 12:33:21,934 ] [ DEBUG ] [ conv:91 ] fully_connected_matched [ 2019-11-25 12:33:21,934 ] [ DEBUG ] [ conv:98 ] len(input.shape) = 2, len(weights.shape) = 2, len(weights_consumers) = 1 [ 2019-11-25 12:33:22,590 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:22,972 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 11962 11963 11964 11965 11966 11967 11968 11969 11970 11971 11972 11973 11974 11975 11976 11977 11978 11979 11980 11981 11982 11983 11984 11985 11986 11987 11988 11989 11990 11991 11992 11993 11994 11995 11996 11997 11998 11999 12000 12001 12002 12003 12004 12005 12006 12007 12008 12009 12010 12011 12012 12013 12014 12015 12016 12017 12018 12019 12020 12021 12022 12023 12024 12025 12026 12027 12028 12029 12030 12031 12032 12033 12034 12035 12036 12037 12038 12039 12040 12041 12042 12043 12044 12045 12046 12047 12048 12049 12050 12051 12052 12053 12054 12055 12056 12057 12058 12059 12060 12061 12062 12063 12064 12065 12066 12067 12068 12069 12070 12071 12072 12073 12074 12075 12076 12077 12078 12079 12080 12081 12082 12083 12084 12085 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12418 12419 12420 12421 12422 12423 12424 12425 12426 12427 12428 12429 12430 12431 12432 12433 12434 12435 12436 12437 12438 12439 12440 batch_normalization/FusedBatchNorm batch_normalization/FusedBatchNorm/Output_0/Data_ batch_normalization/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_1/FusedBatchNorm batch_normalization_1/FusedBatchNorm/Output_0/Data_ batch_normalization_1/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_1/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_10/FusedBatchNorm batch_normalization_10/FusedBatchNorm/Output_0/Data_ batch_normalization_10/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_10/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_11/FusedBatchNorm batch_normalization_11/FusedBatchNorm/Output_0/Data_ batch_normalization_11/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_11/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_12/FusedBatchNorm batch_normalization_12/FusedBatchNorm/Output_0/Data_ batch_normalization_12/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_12/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_13/FusedBatchNorm batch_normalization_13/FusedBatchNorm/Output_0/Data_ batch_normalization_13/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_13/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_14/FusedBatchNorm batch_normalization_14/FusedBatchNorm/Output_0/Data_ batch_normalization_14/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_14/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_15/FusedBatchNorm batch_normalization_15/FusedBatchNorm/Output_0/Data_ batch_normalization_15/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_15/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_16/FusedBatchNorm batch_normalization_16/FusedBatchNorm/Output_0/Data_ batch_normalization_16/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_16/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_17/FusedBatchNorm batch_normalization_17/FusedBatchNorm/Output_0/Data_ batch_normalization_17/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_17/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_18/FusedBatchNorm batch_normalization_18/FusedBatchNorm/Output_0/Data_ batch_normalization_18/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_18/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_19/FusedBatchNorm batch_normalization_19/FusedBatchNorm/Output_0/Data_ batch_normalization_19/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_19/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_2/FusedBatchNorm batch_normalization_2/FusedBatchNorm/Output_0/Data_ batch_normalization_2/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_2/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_20/FusedBatchNorm batch_normalization_20/FusedBatchNorm/Output_0/Data_ batch_normalization_20/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_20/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_21/FusedBatchNorm batch_normalization_21/FusedBatchNorm/Output_0/Data_ batch_normalization_21/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_21/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_22/FusedBatchNorm batch_normalization_22/FusedBatchNorm/Output_0/Data_ batch_normalization_22/FusedBatchNorm/ReadVariableOp/Output_0/Data_ batch_normalization_22/FusedBatchNorm/ReadVariableOp_1/Output_0/Data_ batch_normalization_23/FusedBatchNorm batch_normalization_23/FusedBatchNorm/Output_0/Data_ 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data_mul_13523 data_mul_13535 data_mul_13547 data_mul_13559 [ 2019-11-25 12:33:23,058 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:23,187 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 13569 13570 13571 13572 13573 13574 13575 13576 13577 13578 13579 13580 13581 13582 13583 13584 13585 13586 13587 13588 13589 13590 13591 13592 13593 13594 13595 13596 13597 13598 13599 13600 13601 13602 13603 13604 13605 13606 13607 13608 13609 13610 13611 13612 13613 13614 13615 13616 13617 13618 13619 13620 13621 13622 13623 13624 13625 13626 13627 13628 13629 13630 13631 13632 13633 13634 13635 13636 13637 13638 13639 13640 13641 13642 13643 13644 13645 13646 13647 13648 13649 13650 13651 13652 13653 13654 13655 13656 13657 13658 13659 13660 13661 13662 13663 13664 13665 13666 13667 13668 13669 13670 13671 13672 13673 13674 13675 13676 13677 13678 13679 13680 13681 13682 13683 13684 13685 13686 13687 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14020 14021 14022 14023 14024 14025 14026 14027 14028 14029 14030 14031 14032 14033 14034 14035 14036 14037 14038 14039 14040 14041 14042 14043 14044 14045 14046 14047 [ 2019-11-25 12:33:23,309 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,314 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,320 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,326 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,332 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,337 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,343 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,349 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,354 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,359 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,365 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,371 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,376 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,382 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,388 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,393 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,398 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,404 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,409 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,415 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,420 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,426 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,432 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,438 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,443 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,449 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,454 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,460 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,466 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,472 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,477 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,483 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,488 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,494 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,500 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,506 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,511 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,517 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,523 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,528 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,534 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,540 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,545 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,551 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,557 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,563 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,569 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,574 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,580 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,586 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,592 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,598 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,603 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,609 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,615 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,621 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,626 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,632 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,638 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,644 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,650 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,655 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,661 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,667 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,673 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,679 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,685 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,691 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,696 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,702 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,708 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,714 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,720 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,726 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,731 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,737 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,743 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,749 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,756 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,762 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,768 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,774 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,781 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,787 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,793 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,799 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,805 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,811 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,818 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,823 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,830 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,836 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,842 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,848 ] [ DEBUG ] [ fuse_linear_seq:132 ] Fused 4 operations [ 2019-11-25 12:33:23,923 ] [ DEBUG ] [ eliminate:67 ] The following nodes are seeded as output reachable: predictions/Tanh/sink_port_0 [ 2019-11-25 12:33:24,143 ] [ DEBUG ] [ eliminate:133 ] Removing the following dead nodes: 14048 14049 14050 14051 14052 14053 14054 14055 14056 14057 14058 14059 14060 14061 14062 14063 14064 14065 14066 14067 14068 14069 14070 14071 14072 14073 14074 14075 14076 14077 14078 14079 14080 14081 14082 14083 14084 14085 14086 14087 14088 14089 14090 14091 14092 14093 14094 14095 14096 14097 14098 14099 14100 14101 14102 14103 14104 14105 14106 14107 14108 14109 14110 14111 14112 14113 14114 14115 14116 14117 14118 14119 14120 14121 14122 14123 14124 14125 14126 14127 14128 14129 14130 14131 14132 14133 14134 14135 14136 14137 14138 14139 14140 14141 14142 14143 14144 14145 14146 14147 14148 14149 14150 14151 14152 14153 14154 14155 14156 14157 14158 14159 14160 14161 14162 14163 14164 14165 14166 14167 14168 14169 14170 14171 14172 14173 14174 14175 14176 14177 14178 14179 14180 14181 14182 14183 14184 14185 14186 14187 14188 14189 14190 14191 14192 14193 14194 14195 14196 14197 14198 14199 14200 14201 14202 14203 14204 14205 14206 14207 14208 14209 14210 14211 14212 14213 14214 14215 14216 14217 14218 14219 14220 14221 14222 14223 14224 14225 14226 14227 14228 14229 14230 14231 14232 14233 14234 14235 14236 14237 14238 14239 14240 14241 14242 14243 14244 14245 14246 14247 14248 14249 14250 14251 14252 14253 14254 14255 14256 14257 14258 14259 14260 14261 14262 14263 14264 14265 14266 14267 14268 14269 14270 14271 14272 14273 14274 14275 14276 14277 14278 14279 14280 14281 14282 14283 14284 14285 14286 14287 14288 14289 14290 14291 14292 14293 14294 14295 14296 14297 14298 14299 14300 14301 14302 14303 14304 14305 14306 14307 14308 14309 14310 14311 14312 14313 14314 14315 14316 14317 14318 14319 14320 14321 14322 14323 14324 14325 14326 14327 14328 14329 14330 14331 14332 14333 14334 14335 14336 14337 14338 14339 14340 14341 14342 14343 14344 14345 14346 14347 14348 14349 14350 14351 14352 14353 14354 14355 14356 14357 14358 14359 14360 14361 14362 14363 14364 14365 14366 14367 14368 14369 14370 14371 14372 14373 14374 14375 14376 14377 14378 14379 14380 14381 14382 14383 14384 14385 14386 14387 14388 14389 14390 14391 14392 14393 14394 14395 14396 14397 14398 14399 14400 14401 14402 14403 14404 14405 14406 14407 14408 14409 14410 14411 14412 14413 14414 14415 14416 14417 14418 14419 14420 14421 14422 14423 14424 14425 14426 14427 14428 14429 14430 14431 14432 14433 14434 14435 14436 14437 14438 14439 14440 14441 14442 14443 14444 14445 14446 14447 14448 14449 14450 14451 14452 14453 14454 14455 14456 14457 14458 14459 14460 14461 14462 14463 14464 14465 14466 14467 14468 14469 14470 14471 14472 14473 14474 14475 14476 14477 14478 14479 14480 14481 14482 14483 14484 14485 14486 14487 14488 14489 14490 14491 14492 14493 14494 14495 14496 14497 14498 14499 14500 14501 14502 14503 14504 14505 14506 14507 14508 14509 14510 14511 14512 14513 14514 14515 14516 14517 14518 14519 14520 14521 14522 14523 14524 14525 14526 Add1_12450 Add1_1245412462 Add1_1246612474 Add1_1247812486 Add1_1249012498 Add1_1250212510 Add1_1251412522 Add1_1252612534 Add1_1253812546 Add1_1255012558 Add1_1256212570 Add1_1257412582 Add1_1258612594 Add1_1259812606 Add1_1261012618 Add1_1262212630 Add1_1263412642 Add1_1264612654 Add1_1265812666 Add1_1267012678 Add1_1268212690 Add1_1269412702 Add1_1270612714 Add1_1271812726 Add1_1273012738 Add1_1274212750 Add1_1275412762 Add1_1276612774 Add1_1277812786 Add1_1279012798 Add1_1280212810 Add1_1281412822 Add1_1282612834 Add1_1283812846 Add1_1285012858 Add1_1286212870 Add1_1287412882 Add1_1288612894 Add1_1289812906 Add1_1291012918 Add1_1292212930 Add1_1293412942 Add1_1294612954 Add1_1295812966 Add1_1297012978 Add1_1298212990 Add1_1299413002 Add1_1300613014 Add1_1301813026 Add1_1303013038 Add1_1304213050 Add1_1305413062 Add1_1306613074 Add1_1307813086 Add1_1309013098 Add1_1310213110 Add1_1311413122 Add1_1312613134 Add1_1313813146 Add1_1315013158 Add1_1316213170 Add1_1317413182 Add1_1318613194 Add1_1319813206 Add1_1321013218 Add1_1322213230 Add1_1323413242 Add1_1324613254 Add1_1325813266 Add1_1327013278 Add1_1328213290 Add1_1329413302 Add1_1330613314 Add1_1331813326 Add1_1333013338 Add1_1334213350 Add1_1335413362 Add1_1336613374 Add1_1337813386 Add1_1339013398 Add1_1340213410 Add1_1341413422 Add1_1342613434 Add1_1343813446 Add1_1345013458 Add1_1346213470 Add1_1347413482 Add1_1348613494 Add1_1349813506 Add1_1351013518 Add1_1352213530 Add1_1353413542 Add1_1354613554 Add1_1355813566 Add2_12452 Add2_1245812464 Add2_1247012476 Add2_1248212488 Add2_1249412500 Add2_1250612512 Add2_1251812524 Add2_1253012536 Add2_1254212548 Add2_1255412560 Add2_1256612572 Add2_1257812584 Add2_1259012596 Add2_1260212608 Add2_1261412620 Add2_1262612632 Add2_1263812644 Add2_1265012656 Add2_1266212668 Add2_1267412680 Add2_1268612692 Add2_1269812704 Add2_1271012716 Add2_1272212728 Add2_1273412740 Add2_1274612752 Add2_1275812764 Add2_1277012776 Add2_1278212788 Add2_1279412800 Add2_1280612812 Add2_1281812824 Add2_1283012836 Add2_1284212848 Add2_1285412860 Add2_1286612872 Add2_1287812884 Add2_1289012896 Add2_1290212908 Add2_1291412920 Add2_1292612932 Add2_1293812944 Add2_1295012956 Add2_1296212968 Add2_1297412980 Add2_1298612992 Add2_1299813004 Add2_1301013016 Add2_1302213028 Add2_1303413040 Add2_1304613052 Add2_1305813064 Add2_1307013076 Add2_1308213088 Add2_1309413100 Add2_1310613112 Add2_1311813124 Add2_1313013136 Add2_1314213148 Add2_1315413160 Add2_1316613172 Add2_1317813184 Add2_1319013196 Add2_1320213208 Add2_1321413220 Add2_1322613232 Add2_1323813244 Add2_1325013256 Add2_1326213268 Add2_1327413280 Add2_1328613292 Add2_1329813304 Add2_1331013316 Add2_1332213328 Add2_1333413340 Add2_1334613352 Add2_1335813364 Add2_1337013376 Add2_1338213388 Add2_1339413400 Add2_1340613412 Add2_1341813424 Add2_1343013436 Add2_1344213448 Add2_1345413460 Add2_1346613472 Add2_1347813484 Add2_1349013496 Add2_1350213508 Add2_1351413520 Add2_1352613532 Add2_1353813544 Add2_1355013556 Add2_1356213568 Mul1_12448 Mul1_1245312460 Mul1_1246512472 Mul1_1247712484 Mul1_1248912496 Mul1_1250112508 Mul1_1251312520 Mul1_1252512532 Mul1_1253712544 Mul1_1254912556 Mul1_1256112568 Mul1_1257312580 Mul1_1258512592 Mul1_1259712604 Mul1_1260912616 Mul1_1262112628 Mul1_1263312640 Mul1_1264512652 Mul1_1265712664 Mul1_1266912676 Mul1_1268112688 Mul1_1269312700 Mul1_1270512712 Mul1_1271712724 Mul1_1272912736 Mul1_1274112748 Mul1_1275312760 Mul1_1276512772 Mul1_1277712784 Mul1_1278912796 Mul1_1280112808 Mul1_1281312820 Mul1_1282512832 Mul1_1283712844 Mul1_1284912856 Mul1_1286112868 Mul1_1287312880 Mul1_1288512892 Mul1_1289712904 Mul1_1290912916 Mul1_1292112928 Mul1_1293312940 Mul1_1294512952 Mul1_1295712964 Mul1_1296912976 Mul1_1298112988 Mul1_1299313000 Mul1_1300513012 Mul1_1301713024 Mul1_1302913036 Mul1_1304113048 Mul1_1305313060 Mul1_1306513072 Mul1_1307713084 Mul1_1308913096 Mul1_1310113108 Mul1_1311313120 Mul1_1312513132 Mul1_1313713144 Mul1_1314913156 Mul1_1316113168 Mul1_1317313180 Mul1_1318513192 Mul1_1319713204 Mul1_1320913216 Mul1_1322113228 Mul1_1323313240 Mul1_1324513252 Mul1_1325713264 Mul1_1326913276 Mul1_1328113288 Mul1_1329313300 Mul1_1330513312 Mul1_1331713324 Mul1_1332913336 Mul1_1334113348 Mul1_1335313360 Mul1_1336513372 Mul1_1337713384 Mul1_1338913396 Mul1_1340113408 Mul1_1341313420 Mul1_1342513432 Mul1_1343713444 Mul1_1344913456 Mul1_1346113468 Mul1_1347313480 Mul1_1348513492 Mul1_1349713504 Mul1_1350913516 Mul1_1352113528 Mul1_1353313540 Mul1_1354513552 Mul1_1355713564 Mul2_12451 Mul2_1245712463 Mul2_1246912475 Mul2_1248112487 Mul2_1249312499 Mul2_1250512511 Mul2_1251712523 Mul2_1252912535 Mul2_1254112547 Mul2_1255312559 Mul2_1256512571 Mul2_1257712583 Mul2_1258912595 Mul2_1260112607 Mul2_1261312619 Mul2_1262512631 Mul2_1263712643 Mul2_1264912655 Mul2_1266112667 Mul2_1267312679 Mul2_1268512691 Mul2_1269712703 Mul2_1270912715 Mul2_1272112727 Mul2_1273312739 Mul2_1274512751 Mul2_1275712763 Mul2_1276912775 Mul2_1278112787 Mul2_1279312799 Mul2_1280512811 Mul2_1281712823 Mul2_1282912835 Mul2_1284112847 Mul2_1285312859 Mul2_1286512871 Mul2_1287712883 Mul2_1288912895 Mul2_1290112907 Mul2_1291312919 Mul2_1292512931 Mul2_1293712943 Mul2_1294912955 Mul2_1296112967 Mul2_1297312979 Mul2_1298512991 Mul2_1299713003 Mul2_1300913015 Mul2_1302113027 Mul2_1303313039 Mul2_1304513051 Mul2_1305713063 Mul2_1306913075 Mul2_1308113087 Mul2_1309313099 Mul2_1310513111 Mul2_1311713123 Mul2_1312913135 Mul2_1314113147 Mul2_1315313159 Mul2_1316513171 Mul2_1317713183 Mul2_1318913195 Mul2_1320113207 Mul2_1321313219 Mul2_1322513231 Mul2_1323713243 Mul2_1324913255 Mul2_1326113267 Mul2_1327313279 Mul2_1328513291 Mul2_1329713303 Mul2_1330913315 Mul2_1332113327 Mul2_1333313339 Mul2_1334513351 Mul2_1335713363 Mul2_1336913375 Mul2_1338113387 Mul2_1339313399 Mul2_1340513411 Mul2_1341713423 Mul2_1342913435 Mul2_1344113447 Mul2_1345313459 Mul2_1346513471 Mul2_1347713483 Mul2_1348913495 Mul2_1350113507 Mul2_1351313519 Mul2_1352513531 Mul2_1353713543 Mul2_1354913555 Mul2_1356113567 batch_normalization/Const/Output_0/Data_ batch_normalization/ReadVariableOp/Output_0/Data_ batch_normalization_1/Const/Output_0/Data_ batch_normalization_1/ReadVariableOp/Output_0/Data_ batch_normalization_10/Const/Output_0/Data_ batch_normalization_10/ReadVariableOp/Output_0/Data_ batch_normalization_11/Const/Output_0/Data_ batch_normalization_11/ReadVariableOp/Output_0/Data_ batch_normalization_12/Const/Output_0/Data_ batch_normalization_12/ReadVariableOp/Output_0/Data_ batch_normalization_13/Const/Output_0/Data_ batch_normalization_13/ReadVariableOp/Output_0/Data_ batch_normalization_14/Const/Output_0/Data_ batch_normalization_14/ReadVariableOp/Output_0/Data_ batch_normalization_15/Const/Output_0/Data_ batch_normalization_15/ReadVariableOp/Output_0/Data_ batch_normalization_16/Const/Output_0/Data_ batch_normalization_16/ReadVariableOp/Output_0/Data_ batch_normalization_17/Const/Output_0/Data_ batch_normalization_17/ReadVariableOp/Output_0/Data_ batch_normalization_18/Const/Output_0/Data_ batch_normalization_18/ReadVariableOp/Output_0/Data_ batch_normalization_19/Const/Output_0/Data_ batch_normalization_19/ReadVariableOp/Output_0/Data_ batch_normalization_2/Const/Output_0/Data_ batch_normalization_2/ReadVariableOp/Output_0/Data_ batch_normalization_20/Const/Output_0/Data_ batch_normalization_20/ReadVariableOp/Output_0/Data_ batch_normalization_21/Const/Output_0/Data_ batch_normalization_21/ReadVariableOp/Output_0/Data_ batch_normalization_22/Const/Output_0/Data_ batch_normalization_22/ReadVariableOp/Output_0/Data_ batch_normalization_23/Const/Output_0/Data_ batch_normalization_23/ReadVariableOp/Output_0/Data_ batch_normalization_24/Const/Output_0/Data_ batch_normalization_24/ReadVariableOp/Output_0/Data_ batch_normalization_25/Const/Output_0/Data_ batch_normalization_25/ReadVariableOp/Output_0/Data_ batch_normalization_26/Const/Output_0/Data_ batch_normalization_26/ReadVariableOp/Output_0/Data_ batch_normalization_27/Const/Output_0/Data_ 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batch_normalization_36/ReadVariableOp/Output_0/Data_ batch_normalization_37/Const/Output_0/Data_ batch_normalization_37/ReadVariableOp/Output_0/Data_ batch_normalization_38/Const/Output_0/Data_ batch_normalization_38/ReadVariableOp/Output_0/Data_ batch_normalization_39/Const/Output_0/Data_ batch_normalization_39/ReadVariableOp/Output_0/Data_ batch_normalization_4/Const/Output_0/Data_ batch_normalization_4/ReadVariableOp/Output_0/Data_ batch_normalization_40/Const/Output_0/Data_ batch_normalization_40/ReadVariableOp/Output_0/Data_ batch_normalization_41/Const/Output_0/Data_ batch_normalization_41/ReadVariableOp/Output_0/Data_ batch_normalization_42/Const/Output_0/Data_ batch_normalization_42/ReadVariableOp/Output_0/Data_ batch_normalization_43/Const/Output_0/Data_ batch_normalization_43/ReadVariableOp/Output_0/Data_ batch_normalization_44/Const/Output_0/Data_ batch_normalization_44/ReadVariableOp/Output_0/Data_ batch_normalization_45/Const/Output_0/Data_ batch_normalization_45/ReadVariableOp/Output_0/Data_ batch_normalization_46/Const/Output_0/Data_ batch_normalization_46/ReadVariableOp/Output_0/Data_ batch_normalization_47/Const/Output_0/Data_ batch_normalization_47/ReadVariableOp/Output_0/Data_ batch_normalization_48/Const/Output_0/Data_ batch_normalization_48/ReadVariableOp/Output_0/Data_ batch_normalization_49/Const/Output_0/Data_ batch_normalization_49/ReadVariableOp/Output_0/Data_ batch_normalization_5/Const/Output_0/Data_ batch_normalization_5/ReadVariableOp/Output_0/Data_ batch_normalization_50/Const/Output_0/Data_ batch_normalization_50/ReadVariableOp/Output_0/Data_ batch_normalization_51/Const/Output_0/Data_ batch_normalization_51/ReadVariableOp/Output_0/Data_ batch_normalization_52/Const/Output_0/Data_ batch_normalization_52/ReadVariableOp/Output_0/Data_ batch_normalization_53/Const/Output_0/Data_ batch_normalization_53/ReadVariableOp/Output_0/Data_ batch_normalization_54/Const/Output_0/Data_ batch_normalization_54/ReadVariableOp/Output_0/Data_ batch_normalization_55/Const/Output_0/Data_ batch_normalization_55/ReadVariableOp/Output_0/Data_ batch_normalization_56/Const/Output_0/Data_ batch_normalization_56/ReadVariableOp/Output_0/Data_ batch_normalization_57/Const/Output_0/Data_ batch_normalization_57/ReadVariableOp/Output_0/Data_ batch_normalization_58/Const/Output_0/Data_ batch_normalization_58/ReadVariableOp/Output_0/Data_ batch_normalization_59/Const/Output_0/Data_ batch_normalization_59/ReadVariableOp/Output_0/Data_ batch_normalization_6/Const/Output_0/Data_ batch_normalization_6/ReadVariableOp/Output_0/Data_ batch_normalization_60/Const/Output_0/Data_ batch_normalization_60/ReadVariableOp/Output_0/Data_ batch_normalization_61/Const/Output_0/Data_ batch_normalization_61/ReadVariableOp/Output_0/Data_ batch_normalization_62/Const/Output_0/Data_ batch_normalization_62/ReadVariableOp/Output_0/Data_ batch_normalization_63/Const/Output_0/Data_ batch_normalization_63/ReadVariableOp/Output_0/Data_ batch_normalization_64/Const/Output_0/Data_ batch_normalization_64/ReadVariableOp/Output_0/Data_ batch_normalization_65/Const/Output_0/Data_ batch_normalization_65/ReadVariableOp/Output_0/Data_ batch_normalization_66/Const/Output_0/Data_ batch_normalization_66/ReadVariableOp/Output_0/Data_ batch_normalization_67/Const/Output_0/Data_ batch_normalization_67/ReadVariableOp/Output_0/Data_ batch_normalization_68/Const/Output_0/Data_ batch_normalization_68/ReadVariableOp/Output_0/Data_ batch_normalization_69/Const/Output_0/Data_ batch_normalization_69/ReadVariableOp/Output_0/Data_ batch_normalization_7/Const/Output_0/Data_ batch_normalization_7/ReadVariableOp/Output_0/Data_ batch_normalization_70/Const/Output_0/Data_ batch_normalization_70/ReadVariableOp/Output_0/Data_ batch_normalization_71/Const/Output_0/Data_ batch_normalization_71/ReadVariableOp/Output_0/Data_ batch_normalization_72/Const/Output_0/Data_ batch_normalization_72/ReadVariableOp/Output_0/Data_ batch_normalization_73/Const/Output_0/Data_ batch_normalization_73/ReadVariableOp/Output_0/Data_ batch_normalization_74/Const/Output_0/Data_ batch_normalization_74/ReadVariableOp/Output_0/Data_ batch_normalization_75/Const/Output_0/Data_ batch_normalization_75/ReadVariableOp/Output_0/Data_ batch_normalization_76/Const/Output_0/Data_ batch_normalization_76/ReadVariableOp/Output_0/Data_ batch_normalization_77/Const/Output_0/Data_ batch_normalization_77/ReadVariableOp/Output_0/Data_ batch_normalization_78/Const/Output_0/Data_ batch_normalization_78/ReadVariableOp/Output_0/Data_ batch_normalization_79/Const/Output_0/Data_ batch_normalization_79/ReadVariableOp/Output_0/Data_ batch_normalization_8/Const/Output_0/Data_ batch_normalization_8/ReadVariableOp/Output_0/Data_ batch_normalization_80/Const/Output_0/Data_ batch_normalization_80/ReadVariableOp/Output_0/Data_ batch_normalization_81/Const/Output_0/Data_ batch_normalization_81/ReadVariableOp/Output_0/Data_ batch_normalization_82/Const/Output_0/Data_ batch_normalization_82/ReadVariableOp/Output_0/Data_ batch_normalization_83/Const/Output_0/Data_ batch_normalization_83/ReadVariableOp/Output_0/Data_ batch_normalization_84/Const/Output_0/Data_ batch_normalization_84/ReadVariableOp/Output_0/Data_ batch_normalization_85/Const/Output_0/Data_ batch_normalization_85/ReadVariableOp/Output_0/Data_ batch_normalization_86/Const/Output_0/Data_ batch_normalization_86/ReadVariableOp/Output_0/Data_ batch_normalization_87/Const/Output_0/Data_ batch_normalization_87/ReadVariableOp/Output_0/Data_ batch_normalization_88/Const/Output_0/Data_ batch_normalization_88/ReadVariableOp/Output_0/Data_ batch_normalization_89/Const/Output_0/Data_ batch_normalization_89/ReadVariableOp/Output_0/Data_ batch_normalization_9/Const/Output_0/Data_ batch_normalization_9/ReadVariableOp/Output_0/Data_ batch_normalization_90/Const/Output_0/Data_ batch_normalization_90/ReadVariableOp/Output_0/Data_ batch_normalization_91/Const/Output_0/Data_ batch_normalization_91/ReadVariableOp/Output_0/Data_ batch_normalization_92/Const/Output_0/Data_ batch_normalization_92/ReadVariableOp/Output_0/Data_ batch_normalization_93/Const/Output_0/Data_ batch_normalization_93/ReadVariableOp/Output_0/Data_ data_add_ data_add_12449 data_add_1245612461 data_add_1246812473 data_add_1248012485 data_add_1249212497 data_add_1250412509 data_add_1251612521 data_add_1252812533 data_add_1254012545 data_add_1255212557 data_add_1256412569 data_add_1257612581 data_add_1258812593 data_add_1260012605 data_add_1261212617 data_add_1262412629 data_add_1263612641 data_add_1264812653 data_add_1266012665 data_add_1267212677 data_add_1268412689 data_add_1269612701 data_add_1270812713 data_add_1272012725 data_add_1273212737 data_add_1274412749 data_add_1275612761 data_add_1276812773 data_add_1278012785 data_add_1279212797 data_add_1280412809 data_add_1281612821 data_add_1282812833 data_add_1284012845 data_add_1285212857 data_add_1286412869 data_add_1287612881 data_add_1288812893 data_add_1290012905 data_add_1291212917 data_add_1292412929 data_add_1293612941 data_add_1294812953 data_add_1296012965 data_add_1297212977 data_add_1298412989 data_add_1299613001 data_add_1300813013 data_add_1302013025 data_add_1303213037 data_add_1304413049 data_add_1305613061 data_add_1306813073 data_add_1308013085 data_add_1309213097 data_add_1310413109 data_add_1311613121 data_add_1312813133 data_add_1314013145 data_add_1315213157 data_add_1316413169 data_add_1317613181 data_add_1318813193 data_add_1320013205 data_add_1321213217 data_add_1322413229 data_add_1323613241 data_add_1324813253 data_add_1326013265 data_add_1327213277 data_add_1328413289 data_add_1329613301 data_add_1330813313 data_add_1332013325 data_add_1333213337 data_add_1334413349 data_add_1335613361 data_add_1336813373 data_add_1338013385 data_add_1339213397 data_add_1340413409 data_add_1341613421 data_add_1342813433 data_add_1344013445 data_add_1345213457 data_add_1346413469 data_add_1347613481 data_add_1348813493 data_add_1350013505 data_add_1351213517 data_add_1352413529 data_add_1353613541 data_add_1354813553 data_add_1356013565 data_add_14536 data_add_14544 data_add_14552 data_add_14560 data_add_14568 data_add_14576 data_add_14584 data_add_14592 data_add_14600 data_add_14608 data_add_14616 data_add_14624 data_add_14632 data_add_14640 data_add_14648 data_add_14656 data_add_14664 data_add_14672 data_add_14680 data_add_14688 data_add_14696 data_add_14704 data_add_14712 data_add_14720 data_add_14728 data_add_14736 data_add_14744 data_add_14752 data_add_14760 data_add_14768 data_add_14776 data_add_14784 data_add_14792 data_add_14800 data_add_14808 data_add_14816 data_add_14824 data_add_14832 data_add_14840 data_add_14848 data_add_14856 data_add_14864 data_add_14872 data_add_14880 data_add_14888 data_add_14896 data_add_14904 data_add_14912 data_add_14920 data_add_14928 data_add_14936 data_add_14944 data_add_14952 data_add_14960 data_add_14968 data_add_14976 data_add_14984 data_add_14992 data_add_15000 data_add_15008 data_add_15016 data_add_15024 data_add_15032 data_add_15040 data_add_15048 data_add_15056 data_add_15064 data_add_15072 data_add_15080 data_add_15088 data_add_15096 data_add_15104 data_add_15112 data_add_15120 data_add_15128 data_add_15136 data_add_15144 data_add_15152 data_add_15160 data_add_15168 data_add_15176 data_add_15184 data_add_15192 data_add_15200 data_add_15208 data_add_15216 data_add_15224 data_add_15232 data_add_15240 data_add_15248 data_add_15256 data_add_15264 data_add_15272 data_mul_ data_mul_12447 data_mul_1245512459 data_mul_1246712471 data_mul_1247912483 data_mul_1249112495 data_mul_1250312507 data_mul_1251512519 data_mul_1252712531 data_mul_1253912543 data_mul_1255112555 data_mul_1256312567 data_mul_1257512579 data_mul_1258712591 data_mul_1259912603 data_mul_1261112615 data_mul_1262312627 data_mul_1263512639 data_mul_1264712651 data_mul_1265912663 data_mul_1267112675 data_mul_1268312687 data_mul_1269512699 data_mul_1270712711 data_mul_1271912723 data_mul_1273112735 data_mul_1274312747 data_mul_1275512759 data_mul_1276712771 data_mul_1277912783 data_mul_1279112795 data_mul_1280312807 data_mul_1281512819 data_mul_1282712831 data_mul_1283912843 data_mul_1285112855 data_mul_1286312867 data_mul_1287512879 data_mul_1288712891 data_mul_1289912903 data_mul_1291112915 data_mul_1292312927 data_mul_1293512939 data_mul_1294712951 data_mul_1295912963 data_mul_1297112975 data_mul_1298312987 data_mul_1299512999 data_mul_1300713011 data_mul_1301913023 data_mul_1303113035 data_mul_1304313047 data_mul_1305513059 data_mul_1306713071 data_mul_1307913083 data_mul_1309113095 data_mul_1310313107 data_mul_1311513119 data_mul_1312713131 data_mul_1313913143 data_mul_1315113155 data_mul_1316313167 data_mul_1317513179 data_mul_1318713191 data_mul_1319913203 data_mul_1321113215 data_mul_1322313227 data_mul_1323513239 data_mul_1324713251 data_mul_1325913263 data_mul_1327113275 data_mul_1328313287 data_mul_1329513299 data_mul_1330713311 data_mul_1331913323 data_mul_1333113335 data_mul_1334313347 data_mul_1335513359 data_mul_1336713371 data_mul_1337913383 data_mul_1339113395 data_mul_1340313407 data_mul_1341513419 data_mul_1342713431 data_mul_1343913443 data_mul_1345113455 data_mul_1346313467 data_mul_1347513479 data_mul_1348713491 data_mul_1349913503 data_mul_1351113515 data_mul_1352313527 data_mul_1353513539 data_mul_1354713551 data_mul_1355913563 data_mul_14535 data_mul_14543 data_mul_14551 data_mul_14559 data_mul_14567 data_mul_14575 data_mul_14583 data_mul_14591 data_mul_14599 data_mul_14607 data_mul_14615 data_mul_14623 data_mul_14631 data_mul_14639 data_mul_14647 data_mul_14655 data_mul_14663 data_mul_14671 data_mul_14679 data_mul_14687 data_mul_14695 data_mul_14703 data_mul_14711 data_mul_14719 data_mul_14727 data_mul_14735 data_mul_14743 data_mul_14751 data_mul_14759 data_mul_14767 data_mul_14775 data_mul_14783 data_mul_14791 data_mul_14799 data_mul_14807 data_mul_14815 data_mul_14823 data_mul_14831 data_mul_14839 data_mul_14847 data_mul_14855 data_mul_14863 data_mul_14871 data_mul_14879 data_mul_14887 data_mul_14895 data_mul_14903 data_mul_14911 data_mul_14919 data_mul_14927 data_mul_14935 data_mul_14943 data_mul_14951 data_mul_14959 data_mul_14967 data_mul_14975 data_mul_14983 data_mul_14991 data_mul_14999 data_mul_15007 data_mul_15015 data_mul_15023 data_mul_15031 data_mul_15039 data_mul_15047 data_mul_15055 data_mul_15063 data_mul_15071 data_mul_15079 data_mul_15087 data_mul_15095 data_mul_15103 data_mul_15111 data_mul_15119 data_mul_15127 data_mul_15135 data_mul_15143 data_mul_15151 data_mul_15159 data_mul_15167 data_mul_15175 data_mul_15183 data_mul_15191 data_mul_15199 data_mul_15207 data_mul_15215 data_mul_15223 data_mul_15231 data_mul_15239 data_mul_15247 data_mul_15255 data_mul_15263 data_mul_15271 [ 2019-11-25 12:33:24,225 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_/Fused_Mul_ to conv2d/Conv2D [ 2019-11-25 12:33:24,227 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_/Fused_Add_ to conv2d/Conv2D [ 2019-11-25 12:33:24,231 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12453/Fused_Mul_ to conv2d_1/Conv2D [ 2019-11-25 12:33:24,233 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12454/Fused_Add_ to conv2d_1/Conv2D [ 2019-11-25 12:33:24,238 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12465/Fused_Mul_ to conv2d_2/Conv2D [ 2019-11-25 12:33:24,240 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12466/Fused_Add_ to conv2d_2/Conv2D [ 2019-11-25 12:33:24,244 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12477/Fused_Mul_ to conv2d_3/Conv2D [ 2019-11-25 12:33:24,246 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12478/Fused_Add_ to conv2d_3/Conv2D [ 2019-11-25 12:33:24,251 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12489/Fused_Mul_ to conv2d_4/Conv2D [ 2019-11-25 12:33:24,254 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12490/Fused_Add_ to conv2d_4/Conv2D [ 2019-11-25 12:33:24,258 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12537/Fused_Mul_ to conv2d_5/Conv2D [ 2019-11-25 12:33:24,260 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12538/Fused_Add_ to conv2d_5/Conv2D [ 2019-11-25 12:33:24,264 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12573/Fused_Mul_ to conv2d_11/Conv2D [ 2019-11-25 12:33:24,267 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12574/Fused_Add_ to conv2d_11/Conv2D [ 2019-11-25 12:33:24,271 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12513/Fused_Mul_ to conv2d_6/Conv2D [ 2019-11-25 12:33:24,273 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12514/Fused_Add_ to conv2d_6/Conv2D [ 2019-11-25 12:33:24,278 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12549/Fused_Mul_ to conv2d_7/Conv2D [ 2019-11-25 12:33:24,280 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12550/Fused_Add_ to conv2d_7/Conv2D [ 2019-11-25 12:33:24,285 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12501/Fused_Mul_ to conv2d_8/Conv2D [ 2019-11-25 12:33:24,287 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12502/Fused_Add_ to conv2d_8/Conv2D [ 2019-11-25 12:33:24,292 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12525/Fused_Mul_ to conv2d_9/Conv2D [ 2019-11-25 12:33:24,294 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12526/Fused_Add_ to conv2d_9/Conv2D [ 2019-11-25 12:33:24,298 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12561/Fused_Mul_ to conv2d_10/Conv2D [ 2019-11-25 12:33:24,301 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12562/Fused_Add_ to conv2d_10/Conv2D [ 2019-11-25 12:33:24,305 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12621/Fused_Mul_ to conv2d_12/Conv2D [ 2019-11-25 12:33:24,307 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12622/Fused_Add_ to conv2d_12/Conv2D [ 2019-11-25 12:33:24,311 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12657/Fused_Mul_ to conv2d_18/Conv2D [ 2019-11-25 12:33:24,314 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12658/Fused_Add_ to conv2d_18/Conv2D [ 2019-11-25 12:33:24,318 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12597/Fused_Mul_ to conv2d_13/Conv2D [ 2019-11-25 12:33:24,320 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12598/Fused_Add_ to conv2d_13/Conv2D [ 2019-11-25 12:33:24,325 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12633/Fused_Mul_ to conv2d_14/Conv2D [ 2019-11-25 12:33:24,327 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12634/Fused_Add_ to conv2d_14/Conv2D [ 2019-11-25 12:33:24,332 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12585/Fused_Mul_ to conv2d_15/Conv2D [ 2019-11-25 12:33:24,334 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12586/Fused_Add_ to conv2d_15/Conv2D [ 2019-11-25 12:33:24,338 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12609/Fused_Mul_ to conv2d_16/Conv2D [ 2019-11-25 12:33:24,341 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12610/Fused_Add_ to conv2d_16/Conv2D [ 2019-11-25 12:33:24,346 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12645/Fused_Mul_ to conv2d_17/Conv2D [ 2019-11-25 12:33:24,348 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12646/Fused_Add_ to conv2d_17/Conv2D [ 2019-11-25 12:33:24,352 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12705/Fused_Mul_ to conv2d_19/Conv2D [ 2019-11-25 12:33:24,355 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12706/Fused_Add_ to conv2d_19/Conv2D [ 2019-11-25 12:33:24,359 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12741/Fused_Mul_ to conv2d_25/Conv2D [ 2019-11-25 12:33:24,361 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12742/Fused_Add_ to conv2d_25/Conv2D [ 2019-11-25 12:33:24,365 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12681/Fused_Mul_ to conv2d_20/Conv2D [ 2019-11-25 12:33:24,368 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12682/Fused_Add_ to conv2d_20/Conv2D [ 2019-11-25 12:33:24,372 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12717/Fused_Mul_ to conv2d_21/Conv2D [ 2019-11-25 12:33:24,374 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12718/Fused_Add_ to conv2d_21/Conv2D [ 2019-11-25 12:33:24,379 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12669/Fused_Mul_ to conv2d_22/Conv2D [ 2019-11-25 12:33:24,381 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12670/Fused_Add_ to conv2d_22/Conv2D [ 2019-11-25 12:33:24,386 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12693/Fused_Mul_ to conv2d_23/Conv2D [ 2019-11-25 12:33:24,388 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12694/Fused_Add_ to conv2d_23/Conv2D [ 2019-11-25 12:33:24,392 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12729/Fused_Mul_ to conv2d_24/Conv2D [ 2019-11-25 12:33:24,395 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12730/Fused_Add_ to conv2d_24/Conv2D [ 2019-11-25 12:33:24,401 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12777/Fused_Mul_ to conv2d_26/Conv2D [ 2019-11-25 12:33:24,403 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12778/Fused_Add_ to conv2d_26/Conv2D [ 2019-11-25 12:33:24,407 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12753/Fused_Mul_ to conv2d_27/Conv2D [ 2019-11-25 12:33:24,410 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12754/Fused_Add_ to conv2d_27/Conv2D [ 2019-11-25 12:33:24,414 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12765/Fused_Mul_ to conv2d_28/Conv2D [ 2019-11-25 12:33:24,417 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12766/Fused_Add_ to conv2d_28/Conv2D [ 2019-11-25 12:33:24,421 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12789/Fused_Mul_ to conv2d_29/Conv2D [ 2019-11-25 12:33:24,423 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12790/Fused_Add_ to conv2d_29/Conv2D [ 2019-11-25 12:33:24,428 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12873/Fused_Mul_ to conv2d_30/Conv2D [ 2019-11-25 12:33:24,430 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12874/Fused_Add_ to conv2d_30/Conv2D [ 2019-11-25 12:33:24,434 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12909/Fused_Mul_ to conv2d_39/Conv2D [ 2019-11-25 12:33:24,437 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12910/Fused_Add_ to conv2d_39/Conv2D [ 2019-11-25 12:33:24,441 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12825/Fused_Mul_ to conv2d_31/Conv2D [ 2019-11-25 12:33:24,443 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12826/Fused_Add_ to conv2d_31/Conv2D [ 2019-11-25 12:33:24,448 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12849/Fused_Mul_ to conv2d_32/Conv2D [ 2019-11-25 12:33:24,451 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12850/Fused_Add_ to conv2d_32/Conv2D [ 2019-11-25 12:33:24,455 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12885/Fused_Mul_ to conv2d_33/Conv2D [ 2019-11-25 12:33:24,457 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12886/Fused_Add_ to conv2d_33/Conv2D [ 2019-11-25 12:33:24,461 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12801/Fused_Mul_ to conv2d_34/Conv2D [ 2019-11-25 12:33:24,464 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12802/Fused_Add_ to conv2d_34/Conv2D [ 2019-11-25 12:33:24,468 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12813/Fused_Mul_ to conv2d_35/Conv2D [ 2019-11-25 12:33:24,470 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12814/Fused_Add_ to conv2d_35/Conv2D [ 2019-11-25 12:33:24,475 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12837/Fused_Mul_ to conv2d_36/Conv2D [ 2019-11-25 12:33:24,477 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12838/Fused_Add_ to conv2d_36/Conv2D [ 2019-11-25 12:33:24,482 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12861/Fused_Mul_ to conv2d_37/Conv2D [ 2019-11-25 12:33:24,484 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12862/Fused_Add_ to conv2d_37/Conv2D [ 2019-11-25 12:33:24,488 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12897/Fused_Mul_ to conv2d_38/Conv2D [ 2019-11-25 12:33:24,491 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12898/Fused_Add_ to conv2d_38/Conv2D [ 2019-11-25 12:33:24,495 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12993/Fused_Mul_ to conv2d_40/Conv2D [ 2019-11-25 12:33:24,497 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12994/Fused_Add_ to conv2d_40/Conv2D [ 2019-11-25 12:33:24,502 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13029/Fused_Mul_ to conv2d_49/Conv2D [ 2019-11-25 12:33:24,504 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13030/Fused_Add_ to conv2d_49/Conv2D [ 2019-11-25 12:33:24,508 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12945/Fused_Mul_ to conv2d_41/Conv2D [ 2019-11-25 12:33:24,511 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12946/Fused_Add_ to conv2d_41/Conv2D [ 2019-11-25 12:33:24,515 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12969/Fused_Mul_ to conv2d_42/Conv2D [ 2019-11-25 12:33:24,518 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12970/Fused_Add_ to conv2d_42/Conv2D [ 2019-11-25 12:33:24,522 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13005/Fused_Mul_ to conv2d_43/Conv2D [ 2019-11-25 12:33:24,525 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13006/Fused_Add_ to conv2d_43/Conv2D [ 2019-11-25 12:33:24,529 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12921/Fused_Mul_ to conv2d_44/Conv2D [ 2019-11-25 12:33:24,531 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12922/Fused_Add_ to conv2d_44/Conv2D [ 2019-11-25 12:33:24,536 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12933/Fused_Mul_ to conv2d_45/Conv2D [ 2019-11-25 12:33:24,538 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12934/Fused_Add_ to conv2d_45/Conv2D [ 2019-11-25 12:33:24,543 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12957/Fused_Mul_ to conv2d_46/Conv2D [ 2019-11-25 12:33:24,545 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12958/Fused_Add_ to conv2d_46/Conv2D [ 2019-11-25 12:33:24,550 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_12981/Fused_Mul_ to conv2d_47/Conv2D [ 2019-11-25 12:33:24,552 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_12982/Fused_Add_ to conv2d_47/Conv2D [ 2019-11-25 12:33:24,556 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13017/Fused_Mul_ to conv2d_48/Conv2D [ 2019-11-25 12:33:24,559 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13018/Fused_Add_ to conv2d_48/Conv2D [ 2019-11-25 12:33:24,564 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13113/Fused_Mul_ to conv2d_50/Conv2D [ 2019-11-25 12:33:24,566 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13114/Fused_Add_ to conv2d_50/Conv2D [ 2019-11-25 12:33:24,570 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13149/Fused_Mul_ to conv2d_59/Conv2D [ 2019-11-25 12:33:24,573 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13150/Fused_Add_ to conv2d_59/Conv2D [ 2019-11-25 12:33:24,577 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13065/Fused_Mul_ to conv2d_51/Conv2D [ 2019-11-25 12:33:24,579 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13066/Fused_Add_ to conv2d_51/Conv2D [ 2019-11-25 12:33:24,584 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13089/Fused_Mul_ to conv2d_52/Conv2D [ 2019-11-25 12:33:24,586 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13090/Fused_Add_ to conv2d_52/Conv2D [ 2019-11-25 12:33:24,590 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13125/Fused_Mul_ to conv2d_53/Conv2D [ 2019-11-25 12:33:24,593 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13126/Fused_Add_ to conv2d_53/Conv2D [ 2019-11-25 12:33:24,597 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13041/Fused_Mul_ to conv2d_54/Conv2D [ 2019-11-25 12:33:24,600 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13042/Fused_Add_ to conv2d_54/Conv2D [ 2019-11-25 12:33:24,604 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13053/Fused_Mul_ to conv2d_55/Conv2D [ 2019-11-25 12:33:24,607 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13054/Fused_Add_ to conv2d_55/Conv2D [ 2019-11-25 12:33:24,611 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13077/Fused_Mul_ to conv2d_56/Conv2D [ 2019-11-25 12:33:24,613 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13078/Fused_Add_ to conv2d_56/Conv2D [ 2019-11-25 12:33:24,618 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13101/Fused_Mul_ to conv2d_57/Conv2D [ 2019-11-25 12:33:24,620 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13102/Fused_Add_ to conv2d_57/Conv2D [ 2019-11-25 12:33:24,625 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13137/Fused_Mul_ to conv2d_58/Conv2D [ 2019-11-25 12:33:24,627 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13138/Fused_Add_ to conv2d_58/Conv2D [ 2019-11-25 12:33:24,632 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13233/Fused_Mul_ to conv2d_60/Conv2D [ 2019-11-25 12:33:24,634 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13234/Fused_Add_ to conv2d_60/Conv2D [ 2019-11-25 12:33:24,638 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13269/Fused_Mul_ to conv2d_69/Conv2D [ 2019-11-25 12:33:24,641 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13270/Fused_Add_ to conv2d_69/Conv2D [ 2019-11-25 12:33:24,645 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13185/Fused_Mul_ to conv2d_61/Conv2D [ 2019-11-25 12:33:24,648 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13186/Fused_Add_ to conv2d_61/Conv2D [ 2019-11-25 12:33:24,652 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13209/Fused_Mul_ to conv2d_62/Conv2D [ 2019-11-25 12:33:24,655 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13210/Fused_Add_ to conv2d_62/Conv2D [ 2019-11-25 12:33:24,659 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13245/Fused_Mul_ to conv2d_63/Conv2D [ 2019-11-25 12:33:24,662 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13246/Fused_Add_ to conv2d_63/Conv2D [ 2019-11-25 12:33:24,666 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13161/Fused_Mul_ to conv2d_64/Conv2D [ 2019-11-25 12:33:24,669 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13162/Fused_Add_ to conv2d_64/Conv2D [ 2019-11-25 12:33:24,673 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13173/Fused_Mul_ to conv2d_65/Conv2D [ 2019-11-25 12:33:24,675 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13174/Fused_Add_ to conv2d_65/Conv2D [ 2019-11-25 12:33:24,680 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13197/Fused_Mul_ to conv2d_66/Conv2D [ 2019-11-25 12:33:24,682 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13198/Fused_Add_ to conv2d_66/Conv2D [ 2019-11-25 12:33:24,687 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13221/Fused_Mul_ to conv2d_67/Conv2D [ 2019-11-25 12:33:24,689 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13222/Fused_Add_ to conv2d_67/Conv2D [ 2019-11-25 12:33:24,694 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13257/Fused_Mul_ to conv2d_68/Conv2D [ 2019-11-25 12:33:24,696 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13258/Fused_Add_ to conv2d_68/Conv2D [ 2019-11-25 12:33:24,701 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13305/Fused_Mul_ to conv2d_70/Conv2D [ 2019-11-25 12:33:24,703 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13306/Fused_Add_ to conv2d_70/Conv2D [ 2019-11-25 12:33:24,708 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13329/Fused_Mul_ to conv2d_71/Conv2D [ 2019-11-25 12:33:24,710 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13330/Fused_Add_ to conv2d_71/Conv2D [ 2019-11-25 12:33:24,715 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13281/Fused_Mul_ to conv2d_72/Conv2D [ 2019-11-25 12:33:24,717 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13282/Fused_Add_ to conv2d_72/Conv2D [ 2019-11-25 12:33:24,722 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13293/Fused_Mul_ to conv2d_73/Conv2D [ 2019-11-25 12:33:24,724 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13294/Fused_Add_ to conv2d_73/Conv2D [ 2019-11-25 12:33:24,729 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13317/Fused_Mul_ to conv2d_74/Conv2D [ 2019-11-25 12:33:24,731 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13318/Fused_Add_ to conv2d_74/Conv2D [ 2019-11-25 12:33:24,736 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13341/Fused_Mul_ to conv2d_75/Conv2D [ 2019-11-25 12:33:24,738 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13342/Fused_Add_ to conv2d_75/Conv2D [ 2019-11-25 12:33:24,743 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13437/Fused_Mul_ to conv2d_76/Conv2D [ 2019-11-25 12:33:24,746 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13438/Fused_Add_ to conv2d_76/Conv2D [ 2019-11-25 12:33:24,750 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13449/Fused_Mul_ to conv2d_84/Conv2D [ 2019-11-25 12:33:24,753 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13450/Fused_Add_ to conv2d_84/Conv2D [ 2019-11-25 12:33:24,758 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13365/Fused_Mul_ to conv2d_77/Conv2D [ 2019-11-25 12:33:24,760 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13366/Fused_Add_ to conv2d_77/Conv2D [ 2019-11-25 12:33:24,765 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13401/Fused_Mul_ to conv2d_79/Conv2D [ 2019-11-25 12:33:24,767 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13402/Fused_Add_ to conv2d_79/Conv2D [ 2019-11-25 12:33:24,772 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13389/Fused_Mul_ to conv2d_78/Conv2D [ 2019-11-25 12:33:24,775 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13390/Fused_Add_ to conv2d_78/Conv2D [ 2019-11-25 12:33:24,780 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13353/Fused_Mul_ to conv2d_80/Conv2D [ 2019-11-25 12:33:24,783 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13354/Fused_Add_ to conv2d_80/Conv2D [ 2019-11-25 12:33:24,789 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13377/Fused_Mul_ to conv2d_81/Conv2D [ 2019-11-25 12:33:24,792 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13378/Fused_Add_ to conv2d_81/Conv2D [ 2019-11-25 12:33:24,797 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13425/Fused_Mul_ to conv2d_83/Conv2D [ 2019-11-25 12:33:24,799 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13426/Fused_Add_ to conv2d_83/Conv2D [ 2019-11-25 12:33:24,804 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13413/Fused_Mul_ to conv2d_82/Conv2D [ 2019-11-25 12:33:24,806 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13414/Fused_Add_ to conv2d_82/Conv2D [ 2019-11-25 12:33:24,812 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13545/Fused_Mul_ to conv2d_85/Conv2D [ 2019-11-25 12:33:24,814 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13546/Fused_Add_ to conv2d_85/Conv2D [ 2019-11-25 12:33:24,819 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13557/Fused_Mul_ to conv2d_93/Conv2D [ 2019-11-25 12:33:24,821 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13558/Fused_Add_ to conv2d_93/Conv2D [ 2019-11-25 12:33:24,827 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13473/Fused_Mul_ to conv2d_86/Conv2D [ 2019-11-25 12:33:24,829 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13474/Fused_Add_ to conv2d_86/Conv2D [ 2019-11-25 12:33:24,834 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13509/Fused_Mul_ to conv2d_88/Conv2D [ 2019-11-25 12:33:24,836 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13510/Fused_Add_ to conv2d_88/Conv2D [ 2019-11-25 12:33:24,842 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13497/Fused_Mul_ to conv2d_87/Conv2D [ 2019-11-25 12:33:24,844 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13498/Fused_Add_ to conv2d_87/Conv2D [ 2019-11-25 12:33:24,850 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13461/Fused_Mul_ to conv2d_89/Conv2D [ 2019-11-25 12:33:24,852 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13462/Fused_Add_ to conv2d_89/Conv2D [ 2019-11-25 12:33:24,859 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13485/Fused_Mul_ to conv2d_90/Conv2D [ 2019-11-25 12:33:24,861 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13486/Fused_Add_ to conv2d_90/Conv2D [ 2019-11-25 12:33:24,867 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13533/Fused_Mul_ to conv2d_92/Conv2D [ 2019-11-25 12:33:24,869 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13534/Fused_Add_ to conv2d_92/Conv2D [ 2019-11-25 12:33:24,874 ] [ DEBUG ] [ fuse_linear_ops:126 ] Fused: Mul1_13521/Fused_Mul_ to conv2d_91/Conv2D [ 2019-11-25 12:33:24,876 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: Add1_13522/Fused_Add_ to conv2d_91/Conv2D [ 2019-11-25 12:33:24,879 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: dense/BiasAdd/Add to dense/MatMul [ 2019-11-25 12:33:24,882 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: dense_1/BiasAdd/Add to dense_1/MatMul [ 2019-11-25 12:33:24,885 ] [ DEBUG ] [ fuse_linear_ops:210 ] Fused: predictions/BiasAdd/Add to predictions/MatMul [ ERROR ] ------------------------------------------------- [ ERROR ] ----------------- INTERNAL ERROR ---------------- [ ERROR ] Unexpected exception happened. [ ERROR ] Please contact Model Optimizer developers and forward the following information: [ ERROR ] shapes (32,16) and (0,) not aligned: 16 (dim 1) != 0 (dim 0) [ ERROR ] Traceback (most recent call last): File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/main.py", line 298, in main return driver(argv) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/main.py", line 247, in driver is_binary=not argv.input_model_is_text) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 163, in tf2nx for_graph_and_each_sub_graph_recursively(graph, fuse_linear_ops) File "/opt/intel/openvino_2019.3.376/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_2019.3.376/deployment_tools/model_optimizer/mo/middle/passes/fusing/fuse_linear_ops.py", line 267, in fuse_linear_ops is_fused = _fuse_add(graph, node, fuse_nodes, False) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/middle/passes/fusing/fuse_linear_ops.py", line 206, in _fuse_add fuse_node.in_port(2).data.set_value(bias_value + np.dot(fuse_node.in_port(1).data.get_value(), value)) File "<__array_function__ internals>", line 6, in dot ValueError: shapes (32,16) and (0,) not aligned: 16 (dim 1) != 0 (dim 0) [ ERROR ] ---------------- END OF BUG REPORT -------------- [ ERROR ] ------------------------------------------------- ]0;root@CASE: /opt/intel/openvino_2019.3.376/deployment_tools/model_optimizerroot@CASE:/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer# exit exit Script done on 2019-11-25 12:33:28-0800