[ 2019-01-29 14:38:08,389 ] [ DEBUG ] [ main:133 ] Namespace(batch=None, data_type='float', disable_fusing=False, disable_gfusing=False, disable_nhwc_to_nchw=False, disable_resnet_optimization=False, extensions='/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/extensions', finegrain_fusing=None, framework='tf', freeze_placeholder_with_value=None, generate_deprecated_IR_V2=False, input=None, input_checkpoint=None, input_meta_graph=None, input_model='/media/advertima/storage/openvino_toolkit/input_models/juno_body_appearance/mars-small128.pb', input_model_is_text=False, input_shape='[1,128,64,3]', log_level='DEBUG', mean_values=(), model_name=None, move_to_preprocess=False, offload_unsupported_operations_to_tf=False, output=None, output_dir='/media/advertima/storage/openvino_toolkit/output_models/', reverse_input_channels=False, saved_model_dir=None, saved_model_tags=None, scale=None, scale_values=(), silent=False, tensorboard_logdir=None, tensorflow_custom_layer_libraries=None, tensorflow_custom_operations_config_update=None, tensorflow_object_detection_api_pipeline_config=None, tensorflow_operation_patterns=None, tensorflow_subgraph_patterns=None, tensorflow_use_custom_operations_config=None, version=False) [ 2019-01-29 14:38:08,389 ] [ DEBUG ] [ main:134 ] Model Optimizer started [ 2019-01-29 14:38:08,389 ] [ DEBUG ] [ main:148 ] Output model name would be mars-small128{.xml, .bin} [ 2019-01-29 14:38:08,924 ] [ DEBUG ] [ main:236 ] Placeholder shapes : [ 1 128 64 3] [ INFO ] Importing extensions from: /opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTMCell [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorCondition [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: EltwiseN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Shape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Convolution [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Activation [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Input [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Concat [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorBackEdge [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Deconvolution [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Crop [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FullyConnected [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Split [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tile [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ScaleShift [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reshape [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FlattenONNX [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIterator [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Flatten [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Memory [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Const [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SoftMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Clamp [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorIteratorInput [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Eltwise [ 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: TensorIteratorOutput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReLU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: OpOutput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Div [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: UnknownOp [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Elu [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sigmoid [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tanh [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 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/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/extensions [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SpatialTransformer [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BN [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Resample [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 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: Rank [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StopGradient [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayWriteV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Splice [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MVN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Exit [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ConstantFill [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Identity [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DataAugmentation [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayV3 [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PredictionHeatmap [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assert [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Axpy [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Merge [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReorgYolo [ 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: TensorArrayScatterV3 [ 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: SplitV [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PriorBoxClustered [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SimplerNMS [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Accum [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayGatherV3 [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 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: RegionYolo [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DetectionOutput [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Switch [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CTCGreedyDecoder [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PriorBox [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Enter [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PSROIPooling [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NextIteration [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: LSTMSequence [ 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: TensorArrayReadV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseSequence [ 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: GRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArraySizeV3 [ 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: Interp [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 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: DepthToSpace [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Correlation [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: InstanceNormalization [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Proposal [ 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: PReLU [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SquaredDifference [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PowerFile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Normalize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pack [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 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: LRN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Sub [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ImageScaler [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pack [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: InstanceNormalization [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reciprocal [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: EltwiseN [ 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. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 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: Sqrt [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ExtractImagePatches [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResourceGather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AvgPool3D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Variable [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: NextIteration [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Softmax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResizeBilinear [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MaxPool3D [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: SplitV [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CropAndResize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: PadV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FIFOQueueV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Max [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MaxPool [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: TensorArrayGatherV3 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv2DBackpropInput [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthwiseConv2dNative [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv2D [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Pad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AddN [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BlockLSTM [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ResizeNearestNeighbor [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Rank [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Concat [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: CTCGreedyDecoder [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Tile [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv3D [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: VariableV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ReverseSequence [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: ArgMax [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Gather [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Conv3DBackpropInputV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AvgPool [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: MirrorPad [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Square [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: StopGradient [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: GatherV2 [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: DepthToSpace [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Unpack [ 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: CropAndResize [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Assign [ 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: AssignSub [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: AssignAdd [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: BlockLSTM [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 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 [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: FakeConst [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Reduce [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Slice [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] Registered a new subclass with key: Minimum [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ INFO ] New subclass: [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ WARNING ] Skipped registration because it was already registered or it was disabled. [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ tf:138 ] Number of nodes in graph_def: 290 [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Rank to extractors with custom extractor class . [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry StopGradient to extractors with custom extractor class . [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry BlockLSTM to extractors with custom extractor class . [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CropAndResize to extractors with custom extractor class . [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayGatherV3 to extractors with custom extractor class . [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry SplitV to extractors with custom extractor class . [ 2019-01-29 14:38:10,816 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ExtractImagePatches to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry CTCGreedyDecoder to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry VariableV2 to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResourceGather to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Elu to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeNearestNeighbor to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry GatherV2 to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseSequence to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ReverseV2 to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2DBackpropInput to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthToSpace to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ResizeBilinear to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Concat to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry NextIteration to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tile to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool3D to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AvgPool to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry PadV2 to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry TensorArrayV3 to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Slice to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Pad to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sqrt to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Tanh to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3D to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv2D to extractors with custom extractor class . [ 2019-01-29 14:38:10,817 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry FIFOQueueV2 to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Variable to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Softmax to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Gather to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MaxPool3D to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry MirrorPad to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry DepthwiseConv2dNative to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:70 ] Overridden extractor entry Square by custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Conv3DBackpropInputV2 to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry ArgMax to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Max to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry AddN to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:74 ] Added a new entry Sigmoid to extractors with custom extractor class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Interp to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Activation to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorBackEdge to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PowerFile to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayWriteV3 to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PReLU to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry OpOutput to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PredictionHeatmap to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Proposal to extractors with custom op class . [ 2019-01-29 14:38:10,818 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Eltwise to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ConstantFill to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DataAugmentation to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SquaredDifference to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FlattenONNX to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Enter to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBox to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorInput to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry DetectionOutput to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry EltwiseN to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayReadV3 to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Switch to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Axpy to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Accum to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Exit to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Convolution to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorOutput to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ScaleShift to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry RegionYolo to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Crop to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry GRN to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Input to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PSROIPooling to extractors with custom op class . [ 2019-01-29 14:38:10,819 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Merge to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Memory to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArraySizeV3 to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry FullyConnected to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry PriorBoxClustered to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMCell to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorArrayScatterV3 to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Normalize to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Correlation to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry LSTMSequence to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Select to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ReorgYolo to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Splice to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIteratorCondition to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Clamp to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry BN to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Pooling to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Resample to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Deconvolution to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry MVN to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry InstanceNormalization to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SpatialTransformer to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry TensorIterator to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry SimplerNMS to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Flatten to extractors with custom op class . [ 2019-01-29 14:38:10,820 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry Assert to extractors with custom op class . [ 2019-01-29 14:38:10,821 ] [ DEBUG ] [ register_custom_ops:104 ] Added a new entry ShuffleChannel to extractors with custom op class . [ 2019-01-29 14:38:10,840 ] [ DEBUG ] [ extractor:830 ] Sink: features/sink_port_0 for node features [ 2019-01-29 14:38:10,840 ] [ DEBUG ] [ extractor:831 ] {'type': 'OpOutput', 'name': 'features/sink_port_0', 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'kind': 'op', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'value': None, 'precision': 'FP32', 'data_type': None, 'infer': None, 'is_output': True, 'op': 'OpOutput', 'IE': [('layer', [('id', . at 0x7f1242ec06a8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])]} [ 2019-01-29 14:38:10,840 ] [ DEBUG ] [ extractor:832 ] Add edge from features to features/sink_port_0 [ 2019-01-29 14:38:10,845 ] [ DEBUG ] [ eliminate:64 ] The following nodes are seeded as output reachable: features/sink_port_0 [ 2019-01-29 14:38:10,858 ] [ DEBUG ] [ eliminate:130 ] Removing the following dead nodes: [ 2019-01-29 14:38:10,859 ] [ DEBUG ] [ eliminate:64 ] The following nodes are seeded as output reachable: features/sink_port_0 [ 2019-01-29 14:38:10,872 ] [ DEBUG ] [ eliminate:130 ] Removing the following dead nodes: [ 2019-01-29 14:38:10,929 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-01-29 14:38:10,930 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-01-29 14:38:10,931 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-01-29 14:38:10,931 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,933 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,934 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 128 128] and value.shape = (3, 3, 128, 128) [ 2019-01-29 14:38:10,934 ] [ 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: [64] [ 2019-01-29 14:38:10,934 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,935 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,936 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,937 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-01-29 14:38:10,937 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-01-29 14:38:10,937 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [4] and value.shape = (4,) [ 2019-01-29 14:38:10,938 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,938 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,939 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 64] and value.shape = (3, 3, 64, 64) [ 2019-01-29 14:38:10,939 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,939 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-01-29 14:38:10,940 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,941 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,942 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,943 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,943 ] [ DEBUG ] [ utils:78 ] value = [9.99999993922529e-09], shape = [], res = [1.e-08], res.shape = (1,) [ 2019-01-29 14:38:10,943 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-01-29 14:38:10,944 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-01-29 14:38:10,944 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,945 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,945 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [3] and value.shape = (3,) [ 2019-01-29 14:38:10,946 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,946 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,947 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,947 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,948 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,949 ] [ DEBUG ] [ utils:78 ] value = [-1], shape = [], res = [-1], res.shape = (1,) [ 2019-01-29 14:38:10,949 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-01-29 14:38:10,949 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,950 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,951 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,951 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,951 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,952 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,952 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 128] and value.shape = (3, 3, 64, 128) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-01-29 14:38:10,953 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,954 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [3] and value.shape = (3,) [ 2019-01-29 14:38:10,954 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,955 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,955 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,956 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 64 128] and value.shape = (1, 1, 64, 128) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,956 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,957 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 64] and value.shape = (3, 3, 64, 64) [ 2019-01-29 14:38:10,957 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 32] and value.shape = (3, 3, 32, 32) [ 2019-01-29 14:38:10,958 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 128 128] and value.shape = (3, 3, 128, 128) [ WARNING ] Broadcast of scalar to shape: [64] [ 2019-01-29 14:38:10,958 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-01-29 14:38:10,959 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,959 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,960 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,961 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 3 32] and value.shape = (3, 3, 3, 32) [ 2019-01-29 14:38:10,962 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,963 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,963 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,963 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,964 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,965 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,966 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 32] and value.shape = (3, 3, 32, 32) [ 2019-01-29 14:38:10,966 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-01-29 14:38:10,967 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,967 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,970 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [16384 128] and value.shape = (16384, 128) [ 2019-01-29 14:38:10,972 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 128 128] and value.shape = (3, 3, 128, 128) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,973 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,974 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 64] and value.shape = (3, 3, 32, 64) [ 2019-01-29 14:38:10,975 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [4] and value.shape = (4,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-01-29 14:38:10,975 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,976 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-01-29 14:38:10,977 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,977 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-01-29 14:38:10,977 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [32] [ 2019-01-29 14:38:10,978 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,979 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,979 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,980 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 1 1 32 64] and value.shape = (1, 1, 32, 64) [ 2019-01-29 14:38:10,980 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,981 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,982 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,983 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,984 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 64 64] and value.shape = (3, 3, 64, 64) [ 2019-01-29 14:38:10,984 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-01-29 14:38:10,984 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-01-29 14:38:10,985 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,985 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,985 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ WARNING ] Broadcast of scalar to shape: [1] [ 2019-01-29 14:38:10,986 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [1] and value.shape = (1,) [ 2019-01-29 14:38:10,988 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-01-29 14:38:10,988 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-01-29 14:38:10,990 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,991 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,991 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,992 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,992 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 32] and value.shape = (3, 3, 32, 32) [ 2019-01-29 14:38:10,992 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [3] and value.shape = (3,) [ 2019-01-29 14:38:10,993 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,994 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ WARNING ] Broadcast of scalar to shape: [128] [ 2019-01-29 14:38:10,994 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,995 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,995 ] [ DEBUG ] [ utils:78 ] value = [1], shape = [], res = [1], res.shape = (1,) [ 2019-01-29 14:38:10,995 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-01-29 14:38:10,995 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [32] and value.shape = (32,) [ 2019-01-29 14:38:10,996 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:10,997 ] [ DEBUG ] [ utils:78 ] value = [0], shape = [], res = [0], res.shape = (1,) [ 2019-01-29 14:38:10,998 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [] and value.shape = () [ 2019-01-29 14:38:10,998 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ 2019-01-29 14:38:10,998 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [ 3 3 32 32] and value.shape = (3, 3, 32, 32) [ 2019-01-29 14:38:10,999 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [128] and value.shape = (128,) [ 2019-01-29 14:38:11,000 ] [ DEBUG ] [ const:33 ] Constant extractor for node gives shape = [64] and value.shape = (64,) [ WARNING ] Instructions/layers that do not have attribute extractors: [ WARNING ] Cast (1) [ WARNING ] Cast [ WARNING ] Less (1) [ WARNING ] map/while/Less [ WARNING ] LoopCond (1) [ WARNING ] map/while/LoopCond [ 2019-01-29 14:38:11,000 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,000 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,000 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,000 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,000 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,000 ] [ DEBUG ] [ class_registration:91 ] Replacer will be run after [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:91 ] Replacer will be run after [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:91 ] Replacer will be run after [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:91 ] Replacer will be run after [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:91 ] Replacer will be run after [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:91 ] Replacer will be run after [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:91 ] Replacer will be run after [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,001 ] [ DEBUG ] [ class_registration:88 ] Replacer will be run before [ 2019-01-29 14:38:11,002 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ConvFlatten' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ConvFlatten' [ 2019-01-29 14:38:11,002 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLOV3' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLOV3' [ 2019-01-29 14:38:11,002 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,010 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,017 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,025 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,033 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIOutputReplacement' [ 2019-01-29 14:38:11,033 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIPreprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIPreprocessorReplacement' [ 2019-01-29 14:38:11,033 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPISSDPostprocessorReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPISSDPostprocessorReplacement' [ 2019-01-29 14:38:11,033 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIProposalReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIProposalReplacement' [ 2019-01-29 14:38:11,033 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,041 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIDetectionOutputReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIDetectionOutputReplacement' [ 2019-01-29 14:38:11,041 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,049 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNROIPoolingSecondReplacement' [ 2019-01-29 14:38:11,049 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'ObjectDetectionAPIMaskRCNNSigmoidReplacement' [ 2019-01-29 14:38:11,049 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,049 ] [ DEBUG ] [ mvn:35 ] Enabled MVN replacement [ 2019-01-29 14:38:11,057 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'RetinaNetFilteredDetectionsReplacement' doesn't exist [ INFO ] Failed to find custom replacement description with id 'RetinaNetFilteredDetectionsReplacement' [ 2019-01-29 14:38:11,057 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,065 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,072 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,079 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'SSDToolboxDetectionOutput' doesn't exist [ INFO ] Failed to find custom replacement description with id 'SSDToolboxDetectionOutput' [ 2019-01-29 14:38:11,079 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,093 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,100 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,108 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,116 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,124 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,131 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,131 ] [ DEBUG ] [ mvn_unrolled:36 ] Enabled MVN replacement [ 2019-01-29 14:38:11,139 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,146 ] [ DEBUG ] [ replacement:89 ] Created edge from truediv/mul_ to features with attrs: {'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('truediv', 0)], 'in': 0, 'out': 0, 'control_flow_edge': False} [ 2019-01-29 14:38:11,146 ] [ DEBUG ] [ replacement:197 ] Removing nodes: ['truediv'] [ 2019-01-29 14:38:11,147 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,155 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,163 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,171 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,178 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,186 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,194 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ WARNING ] Configuration file for custom replacement with id 'TFYOLO' doesn't exist [ INFO ] Failed to find custom replacement description with id 'TFYOLO' [ 2019-01-29 14:38:11,194 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,202 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,210 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,218 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,228 ] [ DEBUG ] [ class_registration:111 ] Run replacer [ 2019-01-29 14:38:11,235 ] [ DEBUG ] [ replacement:89 ] Created edge from Flatten/flatten/Reshape/shape/Concat_ to Flatten/flatten/Reshape with attrs: {'in_attrs': ['in', 'control_flow_edge', 'permutation'], 'out_attrs': ['out', 'permutation'], 'data_attrs': ['fw_tensor_debug_info'], 'fw_tensor_debug_info': [('Flatten/flatten/Reshape/shape', 0)], 'in': 1, 'out': 0, 'control_flow_edge': False} [ 2019-01-29 14:38:11,235 ] [ DEBUG ] [ replacement:197 ] Removing nodes: ['Flatten/flatten/Reshape/shape'] [ 2019-01-29 14:38:11,256 ] [ DEBUG ] [ eliminate:64 ] The following nodes are seeded as output reachable: features/sink_port_0 [ 2019-01-29 14:38:11,334 ] [ DEBUG ] [ eliminate:130 ] Removing the following dead nodes: [ 2019-01-29 14:38:11,343 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,343 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/2/biases [ 2019-01-29 14:38:11,343 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,344 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,344 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,344 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.0054551 -0.11970132 0.1408191 0.28983092 -0.9186222 -0.01737625 -0.5093622 -1.7270072 ... [ 2019-01-29 14:38:11,345 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,345 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/2/biases/read [ 2019-01-29 14:38:11,345 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,345 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,346 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-1.0054551 -0.11970132 0.1408191 0.28983092 -0.9186222 -0.01737625 -0.5093622 -1.7270072 ... [ 2019-01-29 14:38:11,346 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,346 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.0054551 -0.11970132 0.1408191 0.28983092 -0.9186222 -0.01737625 -0.5093622 -1.7270072 ... [ 2019-01-29 14:38:11,346 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,347 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/moving_mean [ 2019-01-29 14:38:11,347 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,347 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,347 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,347 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-0.23969007 -2.878377 -5.7009473 4.5027685 1.8610197 1.2501569 2.2040281 -3.4958615 ... [ 2019-01-29 14:38:11,348 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,348 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/moving_mean/read [ 2019-01-29 14:38:11,348 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,348 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,348 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-0.23969007 -2.878377 -5.7009473 4.5027685 1.8610197 1.2501569 2.2040281 -3.4958615 ... [ 2019-01-29 14:38:11,349 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,349 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-0.23969007 -2.878377 -5.7009473 4.5027685 1.8610197 1.2501569 2.2040281 -3.4958615 ... [ 2019-01-29 14:38:11,349 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,349 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/beta [ 2019-01-29 14:38:11,349 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,350 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,350 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,350 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.0653015 -0.8222507 -1.1192205 -0.9938017 -0.4908585 -0.9940367 -0.49162936 -0.85862064 ... [ 2019-01-29 14:38:11,350 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,350 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/beta/read [ 2019-01-29 14:38:11,351 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,351 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,351 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-1.0653015 -0.8222507 -1.1192205 -0.9938017 -0.4908585 -0.9940367 -0.49162936 -0.85862064 ... [ 2019-01-29 14:38:11,351 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,352 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.0653015 -0.8222507 -1.1192205 -0.9938017 -0.4908585 -0.9940367 -0.49162936 -0.85862064 ... [ 2019-01-29 14:38:11,352 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,352 ] [ DEBUG ] [ infer:151 ] Partial infer for 294 [ 2019-01-29 14:38:11,352 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,352 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,352 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,353 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [0] [ 2019-01-29 14:38:11,353 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,353 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/moving_variance [ 2019-01-29 14:38:11,353 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,353 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,353 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,353 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 81.96094 47.7815 74.81022 26.302488 17.142561 63.732635 42.47297 29.676792 108.348... [ 2019-01-29 14:38:11,354 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,354 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/moving_variance/read [ 2019-01-29 14:38:11,354 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,354 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,354 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ 81.96094 47.7815 74.81022 26.302488 17.142561 63.732635 42.47297 29.676792 108.348... [ 2019-01-29 14:38:11,354 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,355 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 81.96094 47.7815 74.81022 26.302488 17.142561 63.732635 42.47297 29.676792 108.348... [ 2019-01-29 14:38:11,355 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,355 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/Const [ 2019-01-29 14:38:11,355 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,355 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,355 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,356 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,356 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,356 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/weights [ 2019-01-29 14:38:11,356 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,357 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,357 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,359 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 8.23667869e-02 -3.09227258e-01 -2.21427158e-01 ... -1.05952412e-01 -3.59464437e-02 7.09... [ 2019-01-29 14:38:11,360 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,360 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/weights/read [ 2019-01-29 14:38:11,360 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,360 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,362 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 32 32], value = [[[[ 8.23667869e-02 -3.09227258e-01 -2.21427158e-01 ... -1.05952412e-01 -3.59464437e-02 7.09... [ 2019-01-29 14:38:11,362 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,365 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 8.23667869e-02 -3.09227258e-01 -2.21427158e-01 ... -1.05952412e-01 -3.59464437e-02 7.09... [ 2019-01-29 14:38:11,365 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,365 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/beta [ 2019-01-29 14:38:11,365 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,365 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,365 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,366 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-7.1025535e-02 -4.6846288e-01 -1.1755256e-03 -3.0883715e-01 1.8844756e-01 -2.2013675e-01 -4.56... [ 2019-01-29 14:38:11,366 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,366 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/beta/read [ 2019-01-29 14:38:11,366 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,366 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,367 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [-7.1025535e-02 -4.6846288e-01 -1.1755256e-03 -3.0883715e-01 1.8844756e-01 -2.2013675e-01 -4.56... [ 2019-01-29 14:38:11,367 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,367 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-7.1025535e-02 -4.6846288e-01 -1.1755256e-03 -3.0883715e-01 1.8844756e-01 -2.2013675e-01 -4.56... [ 2019-01-29 14:38:11,367 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,368 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/moving_mean [ 2019-01-29 14:38:11,368 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,368 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,368 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,369 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 5.8267670e+00 6.5002637e+00 -1.4194200e+00 5.8388023e+00 3.4918590e+00 1.2344326e+00 8.51... [ 2019-01-29 14:38:11,369 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,369 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/moving_mean/read [ 2019-01-29 14:38:11,369 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,369 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,370 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [ 5.8267670e+00 6.5002637e+00 -1.4194200e+00 5.8388023e+00 3.4918590e+00 1.2344326e+00 8.51... [ 2019-01-29 14:38:11,370 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,371 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 5.8267670e+00 6.5002637e+00 -1.4194200e+00 5.8388023e+00 3.4918590e+00 1.2344326e+00 8.51... [ 2019-01-29 14:38:11,371 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/range/delta [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/2/weights [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,372 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,375 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 64], value = [[[[-0.26910535 -0.16607764 -0.17666112 ... 0.03985671 0.15921216 0.02305479] [-0.12484... [ 2019-01-29 14:38:11,375 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,375 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/2/weights/read [ 2019-01-29 14:38:11,375 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,375 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,378 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 64 64], value = [[[[-0.26910535 -0.16607764 -0.17666112 ... 0.03985671 0.15921216 0.02305479] [-0.12484... [ 2019-01-29 14:38:11,378 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,381 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 64], value = [[[[-0.26910535 -0.16607764 -0.17666112 ... 0.03985671 0.15921216 0.02305479] [-0.12484... [ 2019-01-29 14:38:11,381 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,381 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/moving_mean [ 2019-01-29 14:38:11,381 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,381 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,381 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,382 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [ 1.0162506e-02 3.4373548e+00 2.4130566e+00 5.5760655e+00 5.5926185e+00 5.6888256e+00 1.69... [ 2019-01-29 14:38:11,382 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,382 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/moving_mean/read [ 2019-01-29 14:38:11,382 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,382 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,383 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [ 1.0162506e-02 3.4373548e+00 2.4130566e+00 5.5760655e+00 5.5926185e+00 5.6888256e+00 1.69... [ 2019-01-29 14:38:11,383 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,384 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [ 1.0162506e-02 3.4373548e+00 2.4130566e+00 5.5760655e+00 5.5926185e+00 5.6888256e+00 1.69... [ 2019-01-29 14:38:11,384 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,384 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/moving_mean [ 2019-01-29 14:38:11,384 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,384 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,384 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,385 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-3.892995 1.0575376 -2.9667544 4.1241107 -1.7857621 -3.8895338 1.6887579 -5.835705 ... [ 2019-01-29 14:38:11,385 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,385 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/moving_mean/read [ 2019-01-29 14:38:11,385 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,385 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,386 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-3.892995 1.0575376 -2.9667544 4.1241107 -1.7857621 -3.8895338 1.6887579 -5.835705 ... [ 2019-01-29 14:38:11,386 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,386 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-3.892995 1.0575376 -2.9667544 4.1241107 -1.7857621 -3.8895338 1.6887579 -5.835705 ... [ 2019-01-29 14:38:11,387 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,387 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/moving_mean [ 2019-01-29 14:38:11,387 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,387 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,387 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,387 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [ 2.7931874 4.98875 2.183986 2.5317826 8.669505 1.8887501 4.787338 -3.0698473 ... [ 2019-01-29 14:38:11,388 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,388 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/moving_mean/read [ 2019-01-29 14:38:11,388 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,388 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,389 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [ 2.7931874 4.98875 2.183986 2.5317826 8.669505 1.8887501 4.787338 -3.0698473 ... [ 2019-01-29 14:38:11,389 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,389 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [ 2.7931874 4.98875 2.183986 2.5317826 8.669505 1.8887501 4.787338 -3.0698473 ... [ 2019-01-29 14:38:11,389 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,389 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/beta [ 2019-01-29 14:38:11,390 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,390 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,390 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,391 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.57020646 -0.38152665 -0.62485474 -0.47721967 -0.37997887 -0.522823 -0.41127864 -0.40685114 -... [ 2019-01-29 14:38:11,391 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,391 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/beta/read [ 2019-01-29 14:38:11,391 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,391 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,392 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-0.57020646 -0.38152665 -0.62485474 -0.47721967 -0.37997887 -0.522823 -0.41127864 -0.40685114 -... [ 2019-01-29 14:38:11,392 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,393 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.57020646 -0.38152665 -0.62485474 -0.47721967 -0.37997887 -0.522823 -0.41127864 -0.40685114 -... [ 2019-01-29 14:38:11,394 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,394 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/moving_variance [ 2019-01-29 14:38:11,394 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,394 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,394 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,394 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [12.714465 12.486033 13.939661 15.125654 18.57399 10.808741 11.155296 12.799686 15.33880... [ 2019-01-29 14:38:11,395 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,395 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/moving_variance/read [ 2019-01-29 14:38:11,395 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,395 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,395 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [12.714465 12.486033 13.939661 15.125654 18.57399 10.808741 11.155296 12.799686 15.33880... [ 2019-01-29 14:38:11,396 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,396 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [12.714465 12.486033 13.939661 15.125654 18.57399 10.808741 11.155296 12.799686 15.33880... [ 2019-01-29 14:38:11,396 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,396 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/strided_slice/stack_1 [ 2019-01-29 14:38:11,396 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/weights [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,397 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,400 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 64], value = [[[[ 4.53106523e-01 -4.13533092e-01 -3.95632863e-01 ... -8.06316286e-02 1.10458240e-01 -1.10... [ 2019-01-29 14:38:11,400 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,400 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/weights/read [ 2019-01-29 14:38:11,400 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,400 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,403 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 32 64], value = [[[[ 4.53106523e-01 -4.13533092e-01 -3.95632863e-01 ... -8.06316286e-02 1.10458240e-01 -1.10... [ 2019-01-29 14:38:11,403 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,405 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 64], value = [[[[ 4.53106523e-01 -4.13533092e-01 -3.95632863e-01 ... -8.06316286e-02 1.10458240e-01 -1.10... [ 2019-01-29 14:38:11,406 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,406 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/weights [ 2019-01-29 14:38:11,406 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,406 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,406 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,412 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 3 32], value = [[[[-1.73566952e-01 -1.34643555e-01 6.93531185e-02 -1.72863126e-01 7.86550045e-02 -6.244543... [ 2019-01-29 14:38:11,412 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,412 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/weights/read [ 2019-01-29 14:38:11,412 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,412 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,418 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 3 32], value = [[[[-1.73566952e-01 -1.34643555e-01 6.93531185e-02 -1.72863126e-01 7.86550045e-02 -6.244543... [ 2019-01-29 14:38:11,419 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,425 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 3 32], value = [[[[-1.73566952e-01 -1.34643555e-01 6.93531185e-02 -1.72863126e-01 7.86550045e-02 -6.244543... [ 2019-01-29 14:38:11,425 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,425 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/Const [ 2019-01-29 14:38:11,425 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,425 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,425 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,426 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,426 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,426 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/weights [ 2019-01-29 14:38:11,426 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,426 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,426 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,429 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 128 128], value = [[[[-0.09823843 0.11120088 -0.0382314 ... 0.10694335 0.17822969 -0.06882222] [-0.42721... [ 2019-01-29 14:38:11,429 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,429 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/weights/read [ 2019-01-29 14:38:11,429 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,429 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,432 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 128 128], value = [[[[-0.09823843 0.11120088 -0.0382314 ... 0.10694335 0.17822969 -0.06882222] [-0.42721... [ 2019-01-29 14:38:11,432 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 128 128], value = [[[[-0.09823843 0.11120088 -0.0382314 ... 0.10694335 0.17822969 -0.06882222] [-0.42721... [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:151 ] Partial infer for map/strided_slice/stack_1 [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,435 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,436 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/beta [ 2019-01-29 14:38:11,436 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,436 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,436 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,437 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-1.9504691 -1.4664273 -1.5007998 -1.7364047 -2.3035293 -1.5326713 -2.2886147 -1.7618283 -1.8922... [ 2019-01-29 14:38:11,437 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,437 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/beta/read [ 2019-01-29 14:38:11,437 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,437 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,438 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-1.9504691 -1.4664273 -1.5007998 -1.7364047 -2.3035293 -1.5326713 -2.2886147 -1.7618283 -1.8922... [ 2019-01-29 14:38:11,438 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,439 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-1.9504691 -1.4664273 -1.5007998 -1.7364047 -2.3035293 -1.5326713 -2.2886147 -1.7618283 -1.8922... [ 2019-01-29 14:38:11,439 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,440 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/2/biases [ 2019-01-29 14:38:11,440 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,440 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,440 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,440 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.0054498 -0.11967862 0.14081739 0.2898003 -0.91862094 -0.01737622 -0.50937027 -1.7269893 ... [ 2019-01-29 14:38:11,441 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,441 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/2/biases/read [ 2019-01-29 14:38:11,441 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,441 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,441 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-1.0054498 -0.11967862 0.14081739 0.2898003 -0.91862094 -0.01737622 -0.50937027 -1.7269893 ... [ 2019-01-29 14:38:11,442 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,442 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.0054498 -0.11967862 0.14081739 0.2898003 -0.91862094 -0.01737622 -0.50937027 -1.7269893 ... [ 2019-01-29 14:38:11,442 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,442 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/moving_variance [ 2019-01-29 14:38:11,442 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,443 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,443 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,443 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [132.47734 120.47644 133.6889 146.57996 113.08497 175.83391 113.76445 142.01707 93.3814... [ 2019-01-29 14:38:11,443 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,443 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/moving_variance/read [ 2019-01-29 14:38:11,443 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,444 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,444 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [132.47734 120.47644 133.6889 146.57996 113.08497 175.83391 113.76445 142.01707 93.3814... [ 2019-01-29 14:38:11,444 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,445 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [132.47734 120.47644 133.6889 146.57996 113.08497 175.83391 113.76445 142.01707 93.3814... [ 2019-01-29 14:38:11,445 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,445 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/2/biases [ 2019-01-29 14:38:11,445 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,445 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,445 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,446 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 1.185836 -0.7664609 -0.35195282 -0.08351754 -0.40892455 0.47776362 0.74579054 0.25497973... [ 2019-01-29 14:38:11,446 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,446 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/2/biases/read [ 2019-01-29 14:38:11,446 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,446 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,447 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ 1.185836 -0.7664609 -0.35195282 -0.08351754 -0.40892455 0.47776362 0.74579054 0.25497973... [ 2019-01-29 14:38:11,447 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,447 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 1.185836 -0.7664609 -0.35195282 -0.08351754 -0.40892455 0.47776362 0.74579054 0.25497973... [ 2019-01-29 14:38:11,447 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,447 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/moving_variance [ 2019-01-29 14:38:11,448 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,448 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,448 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,449 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [0.41153657 0.6257338 0.99997044 0.99997056 0.6934944 0.52524203 0.4617082 0.6089458 0.65155... [ 2019-01-29 14:38:11,449 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,449 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/moving_variance/read [ 2019-01-29 14:38:11,449 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,449 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,450 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [0.41153657 0.6257338 0.99997044 0.99997056 0.6934944 0.52524203 0.4617082 0.6089458 0.65155... [ 2019-01-29 14:38:11,450 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,451 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [0.41153657 0.6257338 0.99997044 0.99997056 0.6934944 0.52524203 0.4617082 0.6089458 0.65155... [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/moving_mean [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-11.282919 5.74864 -12.675682 -4.2826033 2.5381956 -2.1223836 -10.881224 25.1... [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,452 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/moving_mean/read [ 2019-01-29 14:38:11,453 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,453 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,453 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [-11.282919 5.74864 -12.675682 -4.2826033 2.5381956 -2.1223836 -10.881224 25.1... [ 2019-01-29 14:38:11,453 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-11.282919 5.74864 -12.675682 -4.2826033 2.5381956 -2.1223836 -10.881224 25.1... [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/strided_slice/stack_2 [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/moving_variance [ 2019-01-29 14:38:11,454 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,455 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,455 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,456 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 8.808479 9.279286 9.44581 10.373892 7.4393487 8.434383 8.0891695 8.792877 10.55353... [ 2019-01-29 14:38:11,456 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,456 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/moving_variance/read [ 2019-01-29 14:38:11,456 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,456 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,457 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [ 8.808479 9.279286 9.44581 10.373892 7.4393487 8.434383 8.0891695 8.792877 10.55353... [ 2019-01-29 14:38:11,457 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,458 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 8.808479 9.279286 9.44581 10.373892 7.4393487 8.434383 8.0891695 8.792877 10.55353... [ 2019-01-29 14:38:11,458 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,458 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/Const [ 2019-01-29 14:38:11,458 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,459 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,459 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,459 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,459 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,459 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/2/weights [ 2019-01-29 14:38:11,459 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,460 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,460 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,462 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 128 128], value = [[[[ 5.19894719e-01 1.88609570e-01 1.01615563e-01 ... -5.53987145e-01 -4.65103954e-01 -4.68... [ 2019-01-29 14:38:11,462 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,462 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/2/weights/read [ 2019-01-29 14:38:11,463 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,463 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,465 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 128 128], value = [[[[ 5.19894719e-01 1.88609570e-01 1.01615563e-01 ... -5.53987145e-01 -4.65103954e-01 -4.68... [ 2019-01-29 14:38:11,465 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,468 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 128 128], value = [[[[ 5.19894719e-01 1.88609570e-01 1.01615563e-01 ... -5.53987145e-01 -4.65103954e-01 -4.68... [ 2019-01-29 14:38:11,468 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,468 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/2/weights [ 2019-01-29 14:38:11,468 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,468 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,468 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,471 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 64], value = [[[[ 0.16911997 0.17608741 0.10282259 ... 0.23135929 0.21308166 0.31836885] [ 0.02154... [ 2019-01-29 14:38:11,471 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,471 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/2/weights/read [ 2019-01-29 14:38:11,471 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,471 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,474 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 64 64], value = [[[[ 0.16911997 0.17608741 0.10282259 ... 0.23135929 0.21308166 0.31836885] [ 0.02154... [ 2019-01-29 14:38:11,474 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 64], value = [[[[ 0.16911997 0.17608741 0.10282259 ... 0.23135929 0.21308166 0.31836885] [ 0.02154... [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/strided_slice/stack_1 [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/beta [ 2019-01-29 14:38:11,477 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,478 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,478 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,478 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-0.29162166 -0.2829142 -0.4913156 -0.4020104 -0.31662363 -0.3743056 -0.33668366 -0.523852 ... [ 2019-01-29 14:38:11,478 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,478 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/beta/read [ 2019-01-29 14:38:11,479 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,479 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,479 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-0.29162166 -0.2829142 -0.4913156 -0.4020104 -0.31662363 -0.3743056 -0.33668366 -0.523852 ... [ 2019-01-29 14:38:11,479 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,480 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-0.29162166 -0.2829142 -0.4913156 -0.4020104 -0.31662363 -0.3743056 -0.33668366 -0.523852 ... [ 2019-01-29 14:38:11,480 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,480 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/moving_variance [ 2019-01-29 14:38:11,480 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,480 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,481 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,482 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [15.606751 15.738632 15.155431 11.450364 11.49011 22.858566 14.973021 14.312262 13.68099... [ 2019-01-29 14:38:11,482 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,482 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/moving_variance/read [ 2019-01-29 14:38:11,482 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,482 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,483 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [15.606751 15.738632 15.155431 11.450364 11.49011 22.858566 14.973021 14.312262 13.68099... [ 2019-01-29 14:38:11,483 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,484 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [15.606751 15.738632 15.155431 11.450364 11.49011 22.858566 14.973021 14.312262 13.68099... [ 2019-01-29 14:38:11,484 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,484 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/2/biases [ 2019-01-29 14:38:11,484 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,484 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,485 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,485 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 1.1858563 -0.7664298 -0.35192794 -0.08350424 -0.40877077 0.47781104 0.7457736 0.25507143... [ 2019-01-29 14:38:11,485 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,485 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/2/biases/read [ 2019-01-29 14:38:11,485 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,485 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,486 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ 1.1858563 -0.7664298 -0.35192794 -0.08350424 -0.40877077 0.47781104 0.7457736 0.25507143... [ 2019-01-29 14:38:11,486 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,486 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 1.1858563 -0.7664298 -0.35192794 -0.08350424 -0.40877077 0.47781104 0.7457736 0.25507143... [ 2019-01-29 14:38:11,486 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,487 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/moving_mean [ 2019-01-29 14:38:11,487 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,487 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,487 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,488 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-1310.4137 -143.53668 282.2604 -17.183134 -929.81415 -705.55554 -179.04703 ... [ 2019-01-29 14:38:11,488 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,488 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/moving_mean/read [ 2019-01-29 14:38:11,488 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,488 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,489 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-1310.4137 -143.53668 282.2604 -17.183134 -929.81415 -705.55554 -179.04703 ... [ 2019-01-29 14:38:11,489 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,490 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-1310.4137 -143.53668 282.2604 -17.183134 -929.81415 -705.55554 -179.04703 ... [ 2019-01-29 14:38:11,491 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,491 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/moving_mean [ 2019-01-29 14:38:11,491 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,491 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,491 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,492 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ -3.1645198 -6.736045 -1.7734638 -4.6621556 -3.639569 -5.2138824 -7.5843077 -10.72... [ 2019-01-29 14:38:11,492 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,492 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/moving_mean/read [ 2019-01-29 14:38:11,492 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,492 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,493 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [ -3.1645198 -6.736045 -1.7734638 -4.6621556 -3.639569 -5.2138824 -7.5843077 -10.72... [ 2019-01-29 14:38:11,493 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,495 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ -3.1645198 -6.736045 -1.7734638 -4.6621556 -3.639569 -5.2138824 -7.5843077 -10.72... [ 2019-01-29 14:38:11,495 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,495 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/moving_mean [ 2019-01-29 14:38:11,495 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,495 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,495 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,495 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 3.3064334 3.2973588 -0.61083424 -1.7315342 0.8555805 8.032478 2.1466255 -2.677643 -... [ 2019-01-29 14:38:11,496 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,496 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/moving_mean/read [ 2019-01-29 14:38:11,496 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,496 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,496 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ 3.3064334 3.2973588 -0.61083424 -1.7315342 0.8555805 8.032478 2.1466255 -2.677643 -... [ 2019-01-29 14:38:11,496 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,497 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 3.3064334 3.2973588 -0.61083424 -1.7315342 0.8555805 8.032478 2.1466255 -2.677643 -... [ 2019-01-29 14:38:11,497 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,497 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/moving_variance [ 2019-01-29 14:38:11,497 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,497 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,497 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,498 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [394.81293 526.6159 477.02353 500.48444 335.24954 589.5136 338.41568 502.80438 440.3466 545.7... [ 2019-01-29 14:38:11,498 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,498 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/moving_variance/read [ 2019-01-29 14:38:11,498 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,499 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,500 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [394.81293 526.6159 477.02353 500.48444 335.24954 589.5136 338.41568 502.80438 440.3466 545.7... [ 2019-01-29 14:38:11,500 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,501 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [394.81293 526.6159 477.02353 500.48444 335.24954 589.5136 338.41568 502.80438 440.3466 545.7... [ 2019-01-29 14:38:11,501 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,501 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/beta [ 2019-01-29 14:38:11,501 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,501 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,501 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,502 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-0.39704016 -0.3937685 -0.42928007 -0.6676553 -0.50595844 -0.6313621 -0.48870596 -0.47347012 ... [ 2019-01-29 14:38:11,502 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,502 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/beta/read [ 2019-01-29 14:38:11,502 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,502 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,502 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [-0.39704016 -0.3937685 -0.42928007 -0.6676553 -0.50595844 -0.6313621 -0.48870596 -0.47347012 ... [ 2019-01-29 14:38:11,503 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,503 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-0.39704016 -0.3937685 -0.42928007 -0.6676553 -0.50595844 -0.6313621 -0.48870596 -0.47347012 ... [ 2019-01-29 14:38:11,503 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,503 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/moving_mean [ 2019-01-29 14:38:11,503 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,503 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,503 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,504 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 0.9707003 -0.20125562 1.8165525 1.0000373 0.82642806 -2.9584079 3.2573733 0.8676 ... [ 2019-01-29 14:38:11,504 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,504 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/moving_mean/read [ 2019-01-29 14:38:11,504 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,504 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,505 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ 0.9707003 -0.20125562 1.8165525 1.0000373 0.82642806 -2.9584079 3.2573733 0.8676 ... [ 2019-01-29 14:38:11,505 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,505 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 0.9707003 -0.20125562 1.8165525 1.0000373 0.82642806 -2.9584079 3.2573733 0.8676 ... [ 2019-01-29 14:38:11,505 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,505 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/Reshape/shape/1 [ 2019-01-29 14:38:11,505 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = -1 [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/Reshape/shape/ExpandDims_296 [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:152 ] Op: ExpandDims [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = -1 [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,506 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [-1] [ 2019-01-29 14:38:11,507 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,507 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/beta [ 2019-01-29 14:38:11,507 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,507 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,507 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,507 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-0.5450028 0.02092547 -0.50603724 -0.16212879 -0.58822036 -0.36456445 -0.14848238 -0.41688636... [ 2019-01-29 14:38:11,507 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,508 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/beta/read [ 2019-01-29 14:38:11,508 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,508 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,508 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [-0.5450028 0.02092547 -0.50603724 -0.16212879 -0.58822036 -0.36456445 -0.14848238 -0.41688636... [ 2019-01-29 14:38:11,508 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-0.5450028 0.02092547 -0.50603724 -0.16212879 -0.58822036 -0.36456445 -0.14848238 -0.41688636... [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:151 ] Partial infer for map/strided_slice/stack_2 [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,509 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/beta [ 2019-01-29 14:38:11,510 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,510 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,510 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,510 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 0.15483458 -0.5247082 0.2577336 -0.40754184 -1.1158952 0.41602778 0.8432736 -0.73651403... [ 2019-01-29 14:38:11,510 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,510 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/beta/read [ 2019-01-29 14:38:11,510 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,511 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,511 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ 0.15483458 -0.5247082 0.2577336 -0.40754184 -1.1158952 0.41602778 0.8432736 -0.73651403... [ 2019-01-29 14:38:11,511 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,512 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 0.15483458 -0.5247082 0.2577336 -0.40754184 -1.1158952 0.41602778 0.8432736 -0.73651403... [ 2019-01-29 14:38:11,512 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,512 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/Const [ 2019-01-29 14:38:11,512 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,512 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,512 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,512 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/moving_variance [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [58.51952 66.87514 55.68758 50.53644 71.627426 73.40998 78.7894 32.615524 32.678066 26.4242... [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/moving_variance/read [ 2019-01-29 14:38:11,513 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,514 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,514 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [58.51952 66.87514 55.68758 50.53644 71.627426 73.40998 78.7894 32.615524 32.678066 26.4242... [ 2019-01-29 14:38:11,514 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,515 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [58.51952 66.87514 55.68758 50.53644 71.627426 73.40998 78.7894 32.615524 32.678066 26.4242... [ 2019-01-29 14:38:11,515 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,515 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/moving_variance [ 2019-01-29 14:38:11,515 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,515 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,515 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,516 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [193.7516 208.60452 227.7049 199.87285 173.86417 207.48515 175.01552 189.46281 190.28773 181.1... [ 2019-01-29 14:38:11,516 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,516 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/moving_variance/read [ 2019-01-29 14:38:11,516 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,516 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,517 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [193.7516 208.60452 227.7049 199.87285 173.86417 207.48515 175.01552 189.46281 190.28773 181.1... [ 2019-01-29 14:38:11,517 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,517 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [193.7516 208.60452 227.7049 199.87285 173.86417 207.48515 175.01552 189.46281 190.28773 181.1... [ 2019-01-29 14:38:11,518 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,518 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/moving_mean [ 2019-01-29 14:38:11,518 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,518 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,518 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,519 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 4.0178423 -1.8965713 4.212641 6.8864503 6.9899945 7.7721 9.283593 3.2968862 3.... [ 2019-01-29 14:38:11,519 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,519 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/moving_mean/read [ 2019-01-29 14:38:11,519 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,519 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,520 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [ 4.0178423 -1.8965713 4.212641 6.8864503 6.9899945 7.7721 9.283593 3.2968862 3.... [ 2019-01-29 14:38:11,520 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,521 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 4.0178423 -1.8965713 4.212641 6.8864503 6.9899945 7.7721 9.283593 3.2968862 3.... [ 2019-01-29 14:38:11,522 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,522 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/2/biases [ 2019-01-29 14:38:11,522 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,522 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,522 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,523 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.96867985 -0.8192053 0.02658237 0.58112705 -0.84444636 -0.81564933 -0.72178286 0.7512161 ... [ 2019-01-29 14:38:11,523 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,523 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/2/biases/read [ 2019-01-29 14:38:11,523 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,523 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,524 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-0.96867985 -0.8192053 0.02658237 0.58112705 -0.84444636 -0.81564933 -0.72178286 0.7512161 ... [ 2019-01-29 14:38:11,524 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,526 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.96867985 -0.8192053 0.02658237 0.58112705 -0.84444636 -0.81564933 -0.72178286 0.7512161 ... [ 2019-01-29 14:38:11,526 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,526 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/moving_variance [ 2019-01-29 14:38:11,526 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,526 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,526 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,527 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [21957600. 20814452. 20922860. 23780930. 22205124. 18924606. 21625258. 22605470. 20897324. 23772... [ 2019-01-29 14:38:11,527 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,527 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/moving_variance/read [ 2019-01-29 14:38:11,527 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,528 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,529 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [21957600. 20814452. 20922860. 23780930. 22205124. 18924606. 21625258. 22605470. 20897324. 23772... [ 2019-01-29 14:38:11,529 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,530 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [21957600. 20814452. 20922860. 23780930. 22205124. 18924606. 21625258. 22605470. 20897324. 23772... [ 2019-01-29 14:38:11,530 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,530 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/Const [ 2019-01-29 14:38:11,530 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,530 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,530 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,531 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,531 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,531 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/beta [ 2019-01-29 14:38:11,531 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,531 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,531 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,533 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 0.00167056 0.04668089 0.11936869 -0.39159754 0.00643669 0.01753015 0.01430749 0.04436189... [ 2019-01-29 14:38:11,533 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,533 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/beta/read [ 2019-01-29 14:38:11,533 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,533 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,534 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [ 0.00167056 0.04668089 0.11936869 -0.39159754 0.00643669 0.01753015 0.01430749 0.04436189... [ 2019-01-29 14:38:11,534 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,535 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [ 0.00167056 0.04668089 0.11936869 -0.39159754 0.00643669 0.01753015 0.01430749 0.04436189... [ 2019-01-29 14:38:11,535 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,535 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/moving_variance [ 2019-01-29 14:38:11,536 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,536 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,536 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,536 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [16.444942 12.559595 13.46497 24.026936 21.088284 33.09736 35.501392 16.203342 14.400626 23.09... [ 2019-01-29 14:38:11,536 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,536 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/moving_variance/read [ 2019-01-29 14:38:11,536 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,537 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,537 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [16.444942 12.559595 13.46497 24.026936 21.088284 33.09736 35.501392 16.203342 14.400626 23.09... [ 2019-01-29 14:38:11,537 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,537 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [16.444942 12.559595 13.46497 24.026936 21.088284 33.09736 35.501392 16.203342 14.400626 23.09... [ 2019-01-29 14:38:11,538 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,538 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/2/weights [ 2019-01-29 14:38:11,538 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,538 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,538 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,541 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 128 128], value = [[[[-3.33269909e-02 2.74301469e-01 5.45353234e-01 ... -3.71499717e-01 -3.51553887e-01 -2.25... [ 2019-01-29 14:38:11,541 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,541 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/2/weights/read [ 2019-01-29 14:38:11,541 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,541 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,543 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 128 128], value = [[[[-3.33269909e-02 2.74301469e-01 5.45353234e-01 ... -3.71499717e-01 -3.51553887e-01 -2.25... [ 2019-01-29 14:38:11,544 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,546 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 128 128], value = [[[[-3.33269909e-02 2.74301469e-01 5.45353234e-01 ... -3.71499717e-01 -3.51553887e-01 -2.25... [ 2019-01-29 14:38:11,546 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,546 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/Const [ 2019-01-29 14:38:11,546 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,546 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,547 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,547 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,547 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,547 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/moving_mean [ 2019-01-29 14:38:11,547 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,547 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,547 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,548 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ -7.924485 -4.26617 -13.729963 -0.34672055 -4.343958 -4.0621424 -6.4461465 -3.37... [ 2019-01-29 14:38:11,548 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,548 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/moving_mean/read [ 2019-01-29 14:38:11,548 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,548 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,549 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ -7.924485 -4.26617 -13.729963 -0.34672055 -4.343958 -4.0621424 -6.4461465 -3.37... [ 2019-01-29 14:38:11,549 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,549 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ -7.924485 -4.26617 -13.729963 -0.34672055 -4.343958 -4.0621424 -6.4461465 -3.37... [ 2019-01-29 14:38:11,549 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,549 ] [ DEBUG ] [ infer:151 ] Partial infer for map/Const [ 2019-01-29 14:38:11,549 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Enter [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:152 ] Op: Enter [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Merge [ 2019-01-29 14:38:11,550 ] [ DEBUG ] [ infer:152 ] Op: Merge [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:40 ] input[1]: shape = , value = [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/Const [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,551 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,552 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,552 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,552 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/2/weights [ 2019-01-29 14:38:11,552 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,552 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,552 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,555 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 0.0986985 -0.01947905 -0.03203139 ... 0.26038837 0.04019425 0.02344292] [ 0.27937... [ 2019-01-29 14:38:11,555 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,555 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/2/weights/read [ 2019-01-29 14:38:11,555 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,555 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,558 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 32 32], value = [[[[ 0.0986985 -0.01947905 -0.03203139 ... 0.26038837 0.04019425 0.02344292] [ 0.27937... [ 2019-01-29 14:38:11,558 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 0.0986985 -0.01947905 -0.03203139 ... 0.26038837 0.04019425 0.02344292] [ 0.27937... [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/range/start [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/moving_variance [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,561 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,562 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [35.5741 34.66951 46.593422 45.270992 64.1564 60.62546 54.18064 25.62293 20.799541 20.628... [ 2019-01-29 14:38:11,562 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,562 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/moving_variance/read [ 2019-01-29 14:38:11,562 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,562 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,563 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [35.5741 34.66951 46.593422 45.270992 64.1564 60.62546 54.18064 25.62293 20.799541 20.628... [ 2019-01-29 14:38:11,563 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,563 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [35.5741 34.66951 46.593422 45.270992 64.1564 60.62546 54.18064 25.62293 20.799541 20.628... [ 2019-01-29 14:38:11,563 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,563 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/beta [ 2019-01-29 14:38:11,564 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,564 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,564 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,564 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-1.3206335 -0.8075158 -0.07714148 -0.60623527 -0.24940309 -0.9894799 -0.84613276 -1.6971366 ... [ 2019-01-29 14:38:11,564 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,564 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/beta/read [ 2019-01-29 14:38:11,564 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,565 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,565 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [-1.3206335 -0.8075158 -0.07714148 -0.60623527 -0.24940309 -0.9894799 -0.84613276 -1.6971366 ... [ 2019-01-29 14:38:11,565 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,565 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-1.3206335 -0.8075158 -0.07714148 -0.60623527 -0.24940309 -0.9894799 -0.84613276 -1.6971366 ... [ 2019-01-29 14:38:11,566 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,566 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/Const [ 2019-01-29 14:38:11,566 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,566 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,566 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,567 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,567 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,567 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/strided_slice/stack_2 [ 2019-01-29 14:38:11,567 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,567 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,567 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,567 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,568 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,568 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/beta [ 2019-01-29 14:38:11,568 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,568 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,568 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,569 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.61001027 -0.02963859 3.2483728 3.8252366 0.17810051 -0.3417209 -0.4511021 -0.08023728 ... [ 2019-01-29 14:38:11,569 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,569 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/beta/read [ 2019-01-29 14:38:11,569 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,569 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,570 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-0.61001027 -0.02963859 3.2483728 3.8252366 0.17810051 -0.3417209 -0.4511021 -0.08023728 ... [ 2019-01-29 14:38:11,570 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,572 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.61001027 -0.02963859 3.2483728 3.8252366 0.17810051 -0.3417209 -0.4511021 -0.08023728 ... [ 2019-01-29 14:38:11,572 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,572 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/beta [ 2019-01-29 14:38:11,572 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,572 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,572 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,573 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-0.32851684 -0.5175171 -0.45582733 -0.69660366 -0.5541408 -0.60474604 -0.65678495 -0.52019846... [ 2019-01-29 14:38:11,573 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,573 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/beta/read [ 2019-01-29 14:38:11,573 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,573 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,574 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-0.32851684 -0.5175171 -0.45582733 -0.69660366 -0.5541408 -0.60474604 -0.65678495 -0.52019846... [ 2019-01-29 14:38:11,574 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,574 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-0.32851684 -0.5175171 -0.45582733 -0.69660366 -0.5541408 -0.60474604 -0.65678495 -0.52019846... [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:151 ] Partial infer for images [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:152 ] Op: Placeholder [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:151 ] Partial infer for Cast [ 2019-01-29 14:38:11,575 ] [ DEBUG ] [ infer:152 ] Op: Cast [ INFO ] Called "tf_native_tf_node_infer" for node "Cast" [ 2019-01-29 14:38:11,576 ] [ DEBUG ] [ tf:222 ] Added placeholder with name 'images_port_0_ie_placeholder' [ 2019-01-29 14:38:11,576 ] [ DEBUG ] [ tf:235 ] update_input_in_pbs: replace input 'images' with input 'images_port_0_ie_placeholder' [ 2019-01-29 14:38:11,577 ] [ DEBUG ] [ tf:243 ] Replacing input '0' of the node 'Cast' with placeholder 'images_port_0_ie_placeholder' [ 2019-01-29 14:38:11,591 ] [ DEBUG ] [ tf:142 ] Inferred shape of the output tensor with index '0' of the node 'Cast': '[ 1 128 64 3]' [ 2019-01-29 14:38:11,591 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,592 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,592 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,592 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,593 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,593 ] [ DEBUG ] [ infer:151 ] Partial infer for map/Shape [ 2019-01-29 14:38:11,593 ] [ DEBUG ] [ infer:152 ] Op: Shape [ 2019-01-29 14:38:11,593 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,594 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,594 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,594 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [4], value = [ 1 128 64 3] [ 2019-01-29 14:38:11,595 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,595 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/Shape [ 2019-01-29 14:38:11,595 ] [ DEBUG ] [ infer:152 ] Op: Shape [ 2019-01-29 14:38:11,595 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,596 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,596 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,596 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [4], value = [ 1 128 64 3] [ 2019-01-29 14:38:11,596 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,597 ] [ DEBUG ] [ infer:151 ] Partial infer for map/strided_slice/stack [ 2019-01-29 14:38:11,597 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,597 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,597 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,597 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [0] [ 2019-01-29 14:38:11,597 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,597 ] [ DEBUG ] [ infer:151 ] Partial infer for map/strided_slice [ 2019-01-29 14:38:11,598 ] [ DEBUG ] [ infer:152 ] Op: StridedSlice [ 2019-01-29 14:38:11,598 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,598 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [4], value = [ 1 128 64 3] [ 2019-01-29 14:38:11,599 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1], value = [0] [ 2019-01-29 14:38:11,599 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [1], value = [1] [ 2019-01-29 14:38:11,599 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [1], value = [1] [ 2019-01-29 14:38:11,599 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,599 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,600 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,600 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Less/Enter [ 2019-01-29 14:38:11,600 ] [ DEBUG ] [ infer:152 ] Op: Enter [ 2019-01-29 14:38:11,600 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,600 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,600 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,600 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,601 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,601 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Less [ 2019-01-29 14:38:11,601 ] [ DEBUG ] [ infer:152 ] Op: Less [ INFO ] Called "tf_native_tf_node_infer" for node "map/while/Less" [ 2019-01-29 14:38:11,604 ] [ DEBUG ] [ tf:222 ] Added placeholder with name 'map/while/Merge_port_0_ie_placeholder' [ 2019-01-29 14:38:11,605 ] [ DEBUG ] [ tf:222 ] Added placeholder with name 'map/while/Less/Enter_port_0_ie_placeholder' [ 2019-01-29 14:38:11,605 ] [ DEBUG ] [ tf:235 ] update_input_in_pbs: replace input 'map/while/Merge' with input 'map/while/Merge_port_0_ie_placeholder' [ 2019-01-29 14:38:11,605 ] [ DEBUG ] [ tf:243 ] Replacing input '0' of the node 'map/while/Less' with placeholder 'map/while/Merge_port_0_ie_placeholder' [ 2019-01-29 14:38:11,605 ] [ DEBUG ] [ tf:235 ] update_input_in_pbs: replace input 'map/while/Less/Enter' with input 'map/while/Less/Enter_port_0_ie_placeholder' [ 2019-01-29 14:38:11,605 ] [ DEBUG ] [ tf:243 ] Replacing input '1' of the node 'map/while/Less' with placeholder 'map/while/Less/Enter_port_0_ie_placeholder' [ 2019-01-29 14:38:11,610 ] [ DEBUG ] [ tf:142 ] Inferred shape of the output tensor with index '0' of the node 'map/while/Less': '[]' [ 2019-01-29 14:38:11,610 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,610 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,610 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = 1 [ 2019-01-29 14:38:11,611 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,611 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,611 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,611 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/LoopCond [ 2019-01-29 14:38:11,611 ] [ DEBUG ] [ infer:152 ] Op: LoopCond [ INFO ] Called "tf_native_tf_node_infer" for node "map/while/LoopCond" [ 2019-01-29 14:38:11,614 ] [ DEBUG ] [ tf:222 ] Added placeholder with name 'map/while/Less_port_0_ie_placeholder' [ 2019-01-29 14:38:11,614 ] [ DEBUG ] [ tf:235 ] update_input_in_pbs: replace input 'map/while/Less' with input 'map/while/Less_port_0_ie_placeholder' [ 2019-01-29 14:38:11,614 ] [ DEBUG ] [ tf:243 ] Replacing input '0' of the node 'map/while/LoopCond' with placeholder 'map/while/Less_port_0_ie_placeholder' [ 2019-01-29 14:38:11,619 ] [ DEBUG ] [ tf:142 ] Inferred shape of the output tensor with index '0' of the node 'map/while/LoopCond': '[]' [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Switch [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:152 ] Op: Switch [ 2019-01-29 14:38:11,620 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:40 ] output[1]: shape = [], value = [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Identity [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,621 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/strided_slice/stack_1 [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,622 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,623 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [3], value = [0 0 0] [ 2019-01-29 14:38:11,623 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,623 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/strided_slice/stack_2 [ 2019-01-29 14:38:11,623 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,624 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,624 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,624 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [3], value = [ 1 1 -1] [ 2019-01-29 14:38:11,624 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,624 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/strided_slice/stack [ 2019-01-29 14:38:11,624 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,625 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,625 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,625 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [3], value = [0 0 0] [ 2019-01-29 14:38:11,625 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,625 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/add/y [ 2019-01-29 14:38:11,625 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,625 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/add [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,626 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = 1 [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/NextIteration [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:152 ] Op: NextIteration [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,627 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArray_1 [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:152 ] Op: TensorArrayV3 [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = map/TensorArray_1/Output_0/Data_ [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:40 ] output[1]: shape = [], value = [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Enter_1 [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:152 ] Op: Enter [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,628 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Merge_1 [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:152 ] Op: Merge [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:40 ] input[1]: shape = , value = [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Switch_1 [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:152 ] Op: Switch [ 2019-01-29 14:38:11,629 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:40 ] output[1]: shape = [], value = [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Identity_1 [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,630 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/TensorArrayWrite/TensorArrayWriteV3/Enter [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:152 ] Op: Enter [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = map/TensorArray_1/Output_0/Data_ [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = map/TensorArray_1/Output_0/Data_ [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArray [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:152 ] Op: TensorArrayV3 [ 2019-01-29 14:38:11,631 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = map/TensorArray/Output_0/Data_ [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:40 ] output[1]: shape = [], value = [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/TensorArrayReadV3/Enter [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:152 ] Op: Enter [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = map/TensorArray/Output_0/Data_ [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,632 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = map/TensorArray/Output_0/Data_ [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/strided_slice/stack [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [0] [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/strided_slice [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:152 ] Op: StridedSlice [ 2019-01-29 14:38:11,633 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [4], value = [ 1 128 64 3] [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1], value = [0] [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [1], value = [1] [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [1], value = [1] [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/range [ 2019-01-29 14:38:11,634 ] [ DEBUG ] [ infer:152 ] Op: Range [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = 1 [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [], value = 1 [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [0] [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayUnstack/TensorArrayScatter/TensorArrayScatterV3 [ 2019-01-29 14:38:11,635 ] [ DEBUG ] [ infer:152 ] Op: TensorArrayScatterV3 [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = map/TensorArray/Output_0/Data_ [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1], value = [0] [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [], value = [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/TensorArrayReadV3/Enter_1 [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:152 ] Op: Enter [ 2019-01-29 14:38:11,636 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/TensorArrayReadV3 [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:152 ] Op: TensorArrayReadV3 [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = map/TensorArray/Output_0/Data_ [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [], value = [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,637 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128 64 3], value = [ 2019-01-29 14:38:11,638 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,638 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/strided_slice [ 2019-01-29 14:38:11,638 ] [ DEBUG ] [ infer:152 ] Op: StridedSlice [ 2019-01-29 14:38:11,638 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,638 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128 64 3], value = [ 2019-01-29 14:38:11,638 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [3], value = [0 0 0] [ 2019-01-29 14:38:11,638 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [3], value = [0 0 0] [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [3], value = [ 1 1 -1] [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128 64 3], value = [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/TensorArrayWrite/TensorArrayWriteV3 [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:152 ] Op: TensorArrayWriteV3 [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = map/TensorArray_1/Output_0/Data_ [ 2019-01-29 14:38:11,639 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [128 64 3], value = [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [], value = [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/NextIteration_1 [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:152 ] Op: NextIteration [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,640 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:151 ] Partial infer for map/while/Exit_1 [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:152 ] Op: Exit [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayStack/TensorArraySizeV3 [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:152 ] Op: TensorArraySizeV3 [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = map/TensorArray_1/Output_0/Data_ [ 2019-01-29 14:38:11,641 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = [ 2019-01-29 14:38:11,642 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,642 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,642 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,642 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/projection/weights [ 2019-01-29 14:38:11,642 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,642 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,642 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,643 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 32 64], value = [[[[-0.11164648 -0.13153905 0.13239498 ... 0.31355566 0.43930173 -0.01816637] [ 0.17079... [ 2019-01-29 14:38:11,643 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,643 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/projection/weights/read [ 2019-01-29 14:38:11,643 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,643 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,644 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 1 32 64], value = [[[[-0.11164648 -0.13153905 0.13239498 ... 0.31355566 0.43930173 -0.01816637] [ 0.17079... [ 2019-01-29 14:38:11,644 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,644 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 32 64], value = [[[[-0.11164648 -0.13153905 0.13239498 ... 0.31355566 0.43930173 -0.01816637] [ 0.17079... [ 2019-01-29 14:38:11,644 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,644 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/moving_variance [ 2019-01-29 14:38:11,644 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,644 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,645 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,645 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [2539.1672 2315.4187 3864.479 1698.4116 3065.9417 1710.8129 2054.4634 2599.4717 2821.0728 2847.... [ 2019-01-29 14:38:11,645 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,645 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/moving_variance/read [ 2019-01-29 14:38:11,645 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,645 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,646 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [2539.1672 2315.4187 3864.479 1698.4116 3065.9417 1710.8129 2054.4634 2599.4717 2821.0728 2847.... [ 2019-01-29 14:38:11,646 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,646 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [2539.1672 2315.4187 3864.479 1698.4116 3065.9417 1710.8129 2054.4634 2599.4717 2821.0728 2847.... [ 2019-01-29 14:38:11,646 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,647 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/Const [ 2019-01-29 14:38:11,647 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,647 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,647 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayStack/range/delta [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/Reshape/shape [ 2019-01-29 14:38:11,648 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [4], value = [ -1 1 1 128] [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/Const [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,649 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,650 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,650 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,650 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/weights [ 2019-01-29 14:38:11,650 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,650 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,650 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,653 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 1.20407939e-01 8.47769901e-02 -3.62885818e-02 ... -1.69037320e-02 -3.52120370e-01 -5.27... [ 2019-01-29 14:38:11,653 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,653 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/weights/read [ 2019-01-29 14:38:11,653 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,653 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,656 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 32 32], value = [[[[ 1.20407939e-01 8.47769901e-02 -3.62885818e-02 ... -1.69037320e-02 -3.52120370e-01 -5.27... [ 2019-01-29 14:38:11,656 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,658 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 1.20407939e-01 8.47769901e-02 -3.62885818e-02 ... -1.69037320e-02 -3.52120370e-01 -5.27... [ 2019-01-29 14:38:11,659 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,659 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/2/biases [ 2019-01-29 14:38:11,659 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,659 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,659 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,660 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.9686795 -0.8192113 0.02658175 0.5811254 -0.844447 -0.81565034 -0.7217823 0.75121814... [ 2019-01-29 14:38:11,660 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,660 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/2/biases/read [ 2019-01-29 14:38:11,660 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,660 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,661 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-0.9686795 -0.8192113 0.02658175 0.5811254 -0.844447 -0.81565034 -0.7217823 0.75121814... [ 2019-01-29 14:38:11,661 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,662 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.9686795 -0.8192113 0.02658175 0.5811254 -0.844447 -0.81565034 -0.7217823 0.75121814... [ 2019-01-29 14:38:11,663 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,663 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/beta [ 2019-01-29 14:38:11,663 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,663 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,663 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,664 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.8302361 -1.0246876 -1.0151224 -1.3385823 -1.6318399 -1.8684804 -1.3898573 -1.0829593 ... [ 2019-01-29 14:38:11,664 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,664 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/beta/read [ 2019-01-29 14:38:11,664 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,664 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,665 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [-1.8302361 -1.0246876 -1.0151224 -1.3385823 -1.6318399 -1.8684804 -1.3898573 -1.0829593 ... [ 2019-01-29 14:38:11,665 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,665 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [-1.8302361 -1.0246876 -1.0151224 -1.3385823 -1.6318399 -1.8684804 -1.3898573 -1.0829593 ... [ 2019-01-29 14:38:11,665 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,665 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/moving_mean [ 2019-01-29 14:38:11,666 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,666 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,666 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,666 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-1.9378859 0.13333222 5.1548896 0.405426 10.330494 -5.366135 -3.0932274 -2.0061479 ... [ 2019-01-29 14:38:11,666 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,666 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/moving_mean/read [ 2019-01-29 14:38:11,666 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,667 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,667 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [-1.9378859 0.13333222 5.1548896 0.405426 10.330494 -5.366135 -3.0932274 -2.0061479 ... [ 2019-01-29 14:38:11,667 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,667 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-1.9378859 0.13333222 5.1548896 0.405426 10.330494 -5.366135 -3.0932274 -2.0061479 ... [ 2019-01-29 14:38:11,668 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,668 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/2/weights [ 2019-01-29 14:38:11,668 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,668 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,668 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,671 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[-2.07321301e-01 -2.44692206e-01 -6.96831793e-02 ... -1.00273907e-01 -2.88392544e-01 8.96... [ 2019-01-29 14:38:11,671 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,671 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/2/weights/read [ 2019-01-29 14:38:11,671 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,671 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,674 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 32 32], value = [[[[-2.07321301e-01 -2.44692206e-01 -6.96831793e-02 ... -1.00273907e-01 -2.88392544e-01 8.96... [ 2019-01-29 14:38:11,674 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,676 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[-2.07321301e-01 -2.44692206e-01 -6.96831793e-02 ... -1.00273907e-01 -2.88392544e-01 8.96... [ 2019-01-29 14:38:11,676 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,676 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/projection/weights [ 2019-01-29 14:38:11,677 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,677 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,677 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,677 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 64 128], value = [[[[ 0.10691042 -0.14621213 0.34795412 ... -0.22261699 0.02054876 -0.06272136] [ 0.07937... [ 2019-01-29 14:38:11,677 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,677 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/projection/weights/read [ 2019-01-29 14:38:11,677 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,678 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,678 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 1 64 128], value = [[[[ 0.10691042 -0.14621213 0.34795412 ... -0.22261699 0.02054876 -0.06272136] [ 0.07937... [ 2019-01-29 14:38:11,678 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,679 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 64 128], value = [[[[ 0.10691042 -0.14621213 0.34795412 ... -0.22261699 0.02054876 -0.06272136] [ 0.07937... [ 2019-01-29 14:38:11,679 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,679 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/moving_variance [ 2019-01-29 14:38:11,679 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,679 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,679 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,680 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [15.12298 24.202528 15.252318 12.578226 10.31893 14.628839 16.919056 13.592694 23.68994... [ 2019-01-29 14:38:11,680 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,680 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/moving_variance/read [ 2019-01-29 14:38:11,680 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,680 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,681 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [64], value = [15.12298 24.202528 15.252318 12.578226 10.31893 14.628839 16.919056 13.592694 23.68994... [ 2019-01-29 14:38:11,681 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,682 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [64], value = [15.12298 24.202528 15.252318 12.578226 10.31893 14.628839 16.919056 13.592694 23.68994... [ 2019-01-29 14:38:11,682 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,682 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/beta [ 2019-01-29 14:38:11,682 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,682 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,682 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,683 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.39230904 -0.4294354 -0.526749 -0.55375654 -0.49662584 -0.6299774 -0.5708879 -0.5193724 ... [ 2019-01-29 14:38:11,683 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,683 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/beta/read [ 2019-01-29 14:38:11,683 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,684 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,685 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-0.39230904 -0.4294354 -0.526749 -0.55375654 -0.49662584 -0.6299774 -0.5708879 -0.5193724 ... [ 2019-01-29 14:38:11,685 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,686 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-0.39230904 -0.4294354 -0.526749 -0.55375654 -0.49662584 -0.6299774 -0.5708879 -0.5193724 ... [ 2019-01-29 14:38:11,686 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,686 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/Const [ 2019-01-29 14:38:11,686 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,686 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,686 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,687 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,687 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,687 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/weights [ 2019-01-29 14:38:11,687 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,687 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,687 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,690 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 128], value = [[[[ 3.09143085e-02 3.85060668e-01 1.08945765e-01 ... 3.84031177e-01 -1.90068752e-01 3.48... [ 2019-01-29 14:38:11,690 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,690 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/weights/read [ 2019-01-29 14:38:11,690 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,690 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,693 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 64 128], value = [[[[ 3.09143085e-02 3.85060668e-01 1.08945765e-01 ... 3.84031177e-01 -1.90068752e-01 3.48... [ 2019-01-29 14:38:11,693 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,695 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 128], value = [[[[ 3.09143085e-02 3.85060668e-01 1.08945765e-01 ... 3.84031177e-01 -1.90068752e-01 3.48... [ 2019-01-29 14:38:11,696 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,696 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/moving_mean [ 2019-01-29 14:38:11,696 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,696 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,696 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,697 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-2.44791552e-01 1.31111637e-01 3.27050257e+00 3.83466649e+00 2.96822876e-01 -6.76681772e-02... [ 2019-01-29 14:38:11,697 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,697 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/moving_mean/read [ 2019-01-29 14:38:11,697 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,697 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,698 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [128], value = [-2.44791552e-01 1.31111637e-01 3.27050257e+00 3.83466649e+00 2.96822876e-01 -6.76681772e-02... [ 2019-01-29 14:38:11,698 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,699 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [128], value = [-2.44791552e-01 1.31111637e-01 3.27050257e+00 3.83466649e+00 2.96822876e-01 -6.76681772e-02... [ 2019-01-29 14:38:11,700 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,700 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/weights [ 2019-01-29 14:38:11,700 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,700 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,700 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,700 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [16384 128], value = [[ 0.07080393 0.21790086 -0.24488142 ... 0.27316374 0.07627675 -0.05352516] [-0.06658453 0... [ 2019-01-29 14:38:11,701 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,701 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/weights/read [ 2019-01-29 14:38:11,701 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,701 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,701 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [16384 128], value = [[ 0.07080393 0.21790086 -0.24488142 ... 0.27316374 0.07627675 -0.05352516] [-0.06658453 0... [ 2019-01-29 14:38:11,701 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,702 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [16384 128], value = [[ 0.07080393 0.21790086 -0.24488142 ... 0.27316374 0.07627675 -0.05352516] [-0.06658453 0... [ 2019-01-29 14:38:11,702 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,702 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/moving_variance [ 2019-01-29 14:38:11,702 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,702 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,702 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,703 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [53.308746 79.17628 64.947426 30.249401 73.8423 41.011158 45.893303 19.093729 31.02401... [ 2019-01-29 14:38:11,703 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,703 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/moving_variance/read [ 2019-01-29 14:38:11,703 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,703 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,704 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [53.308746 79.17628 64.947426 30.249401 73.8423 41.011158 45.893303 19.093729 31.02401... [ 2019-01-29 14:38:11,704 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,704 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [53.308746 79.17628 64.947426 30.249401 73.8423 41.011158 45.893303 19.093729 31.02401... [ 2019-01-29 14:38:11,704 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,704 ] [ DEBUG ] [ infer:151 ] Partial infer for Const [ 2019-01-29 14:38:11,704 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,704 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,705 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,705 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1e-08 [ 2019-01-29 14:38:11,705 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,705 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/weights [ 2019-01-29 14:38:11,705 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,705 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,705 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,708 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 64], value = [[[[-1.07153423e-01 1.60319909e-01 1.88857540e-01 ... -3.01577717e-01 -3.26129138e-01 8.17... [ 2019-01-29 14:38:11,708 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,708 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/weights/read [ 2019-01-29 14:38:11,708 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,708 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,711 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 64 64], value = [[[[-1.07153423e-01 1.60319909e-01 1.88857540e-01 ... -3.01577717e-01 -3.26129138e-01 8.17... [ 2019-01-29 14:38:11,711 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,713 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 64 64], value = [[[[-1.07153423e-01 1.60319909e-01 1.88857540e-01 ... -3.01577717e-01 -3.26129138e-01 8.17... [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/Reshape/shape [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [4], value = [ -1 1 1 128] [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayStack/range/start [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,714 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayStack/range [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:152 ] Op: Range [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 0 [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [], value = 1 [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [], value = 1 [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,715 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [0] [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:151 ] Partial infer for map/TensorArrayStack/TensorArrayGatherV3 [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:152 ] Op: TensorArrayGatherV3 [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = map/TensorArray_1/Output_0/Data_ [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1], value = [0] [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [], value = [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,716 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,717 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,717 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/Conv2D [ 2019-01-29 14:38:11,717 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,717 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,717 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 3], value = [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 3 32], value = [[[[-1.73566952e-01 -1.34643555e-01 6.93531185e-02 -1.72863126e-01 7.86550045e-02 -6.244543... [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/conv1_1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,724 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,725 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,725 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [32], value = [-7.1025535e-02 -4.6846288e-01 -1.1755256e-03 -3.0883715e-01 1.8844756e-01 -2.2013675e-01 -4.56... [ 2019-01-29 14:38:11,726 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [32], value = [-11.282919 5.74864 -12.675682 -4.2826033 2.5381956 -2.1223836 -10.881224 25.1... [ 2019-01-29 14:38:11,726 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [32], value = [2539.1672 2315.4187 3864.479 1698.4116 3065.9417 1710.8129 2054.4634 2599.4717 2821.0728 2847.... [ 2019-01-29 14:38:11,726 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,726 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,726 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,726 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_1/Elu [ 2019-01-29 14:38:11,726 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/moving_mean [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,727 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,728 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 0.79878825 3.7611272 0.8244027 0.9257347 -1.255887 -3.077867 1.7329359 -1.268888 ... [ 2019-01-29 14:38:11,728 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,728 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/moving_mean/read [ 2019-01-29 14:38:11,728 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,728 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,729 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [ 0.79878825 3.7611272 0.8244027 0.9257347 -1.255887 -3.077867 1.7329359 -1.268888 ... [ 2019-01-29 14:38:11,729 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,729 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [ 0.79878825 3.7611272 0.8244027 0.9257347 -1.255887 -3.077867 1.7329359 -1.268888 ... [ 2019-01-29 14:38:11,729 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,729 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/Const [ 2019-01-29 14:38:11,729 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,729 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,730 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,730 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,730 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,730 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/weights [ 2019-01-29 14:38:11,730 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,730 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,731 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,733 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 0.11206876 -0.30419204 0.22535114 ... 0.19959275 -0.3173658 0.08693356] [ 0.048581... [ 2019-01-29 14:38:11,733 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,733 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/weights/read [ 2019-01-29 14:38:11,733 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,734 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,736 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 3 3 32 32], value = [[[[ 0.11206876 -0.30419204 0.22535114 ... 0.19959275 -0.3173658 0.08693356] [ 0.048581... [ 2019-01-29 14:38:11,736 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,739 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 3 3 32 32], value = [[[[ 0.11206876 -0.30419204 0.22535114 ... 0.19959275 -0.3173658 0.08693356] [ 0.048581... [ 2019-01-29 14:38:11,739 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,739 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/Conv2D [ 2019-01-29 14:38:11,739 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,740 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,740 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 32 32], value = [[[[ 0.11206876 -0.30419204 0.22535114 ... 0.19959275 -0.3173658 0.08693356] [ 0.048581... [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/conv1_2/bn/FusedBatchNorm [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,743 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,744 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,744 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [32], value = [ 0.15483458 -0.5247082 0.2577336 -0.40754184 -1.1158952 0.41602778 0.8432736 -0.73651403... [ 2019-01-29 14:38:11,745 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [32], value = [ 3.3064334 3.2973588 -0.61083424 -1.7315342 0.8555805 8.032478 2.1466255 -2.677643 -... [ 2019-01-29 14:38:11,745 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [32], value = [ 81.96094 47.7815 74.81022 26.302488 17.142561 63.732635 42.47297 29.676792 108.348... [ 2019-01-29 14:38:11,745 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,745 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,745 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,745 ] [ DEBUG ] [ infer:151 ] Partial infer for conv1_2/Elu [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:151 ] Partial infer for pool1/MaxPool [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:152 ] Op: MaxPool [ 2019-01-29 14:38:11,746 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,747 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128 64 32], value = [ 2019-01-29 14:38:11,747 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,747 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,747 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,747 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/Conv2D [ 2019-01-29 14:38:11,747 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,748 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,748 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,750 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 32 32], value = [[[[ 8.23667869e-02 -3.09227258e-01 -2.21427158e-01 ... -1.05952412e-01 -3.59464437e-02 7.09... [ 2019-01-29 14:38:11,750 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,751 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,751 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,751 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/conv2_1/1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,751 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,751 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,751 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,751 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,752 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [32], value = [-0.5450028 0.02092547 -0.50603724 -0.16212879 -0.58822036 -0.36456445 -0.14848238 -0.41688636... [ 2019-01-29 14:38:11,752 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [32], value = [ -7.924485 -4.26617 -13.729963 -0.34672055 -4.343958 -4.0621424 -6.4461465 -3.37... [ 2019-01-29 14:38:11,753 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [32], value = [53.308746 79.17628 64.947426 30.249401 73.8423 41.011158 45.893303 19.093729 31.02401... [ 2019-01-29 14:38:11,753 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,753 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,753 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,753 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/1/Elu [ 2019-01-29 14:38:11,753 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,753 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:151 ] Partial infer for Dropout/Identity [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,754 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,755 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,755 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/2/Conv2D [ 2019-01-29 14:38:11,755 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,755 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,755 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,758 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 32 32], value = [[[[-2.07321301e-01 -2.44692206e-01 -6.96831793e-02 ... -1.00273907e-01 -2.88392544e-01 8.96... [ 2019-01-29 14:38:11,758 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,758 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,758 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,758 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_1/2/BiasAdd [ 2019-01-29 14:38:11,758 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,759 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,759 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,759 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [32], value = [ 1.1858563 -0.7664298 -0.35192794 -0.08350424 -0.40877077 0.47781104 0.7457736 0.25507143... [ 2019-01-29 14:38:11,759 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,759 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,759 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:151 ] Partial infer for add [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:151 ] Partial infer for Sum/reduction_indices [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,760 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/Const [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,761 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/strided_slice/stack [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [0] [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/Const [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,762 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,763 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,763 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,763 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/Const [ 2019-01-29 14:38:11,763 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,763 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,763 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,764 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,764 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,764 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/beta [ 2019-01-29 14:38:11,764 ] [ DEBUG ] [ infer:152 ] Op: Const [ 2019-01-29 14:38:11,765 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,765 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,765 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-0.40335962 -0.5563175 -0.80969316 -0.05337045 -0.81597173 -0.8280049 -0.50091547 -0.45076698 ... [ 2019-01-29 14:38:11,765 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,765 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/beta/read [ 2019-01-29 14:38:11,765 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,766 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,766 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [32], value = [-0.40335962 -0.5563175 -0.80969316 -0.05337045 -0.81597173 -0.8280049 -0.50091547 -0.45076698 ... [ 2019-01-29 14:38:11,766 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,767 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [32], value = [-0.40335962 -0.5563175 -0.80969316 -0.05337045 -0.81597173 -0.8280049 -0.50091547 -0.45076698 ... [ 2019-01-29 14:38:11,767 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,767 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/bn/FusedBatchNorm [ 2019-01-29 14:38:11,767 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,767 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,767 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,767 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,768 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [32], value = [-0.40335962 -0.5563175 -0.80969316 -0.05337045 -0.81597173 -0.8280049 -0.50091547 -0.45076698 ... [ 2019-01-29 14:38:11,768 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [32], value = [ 0.9707003 -0.20125562 1.8165525 1.0000373 0.82642806 -2.9584079 3.2573733 0.8676 ... [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [32], value = [35.5741 34.66951 46.593422 45.270992 64.1564 60.62546 54.18064 25.62293 20.799541 20.628... [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:151 ] Partial infer for Elu [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,769 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,770 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,770 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,770 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,770 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/Conv2D [ 2019-01-29 14:38:11,770 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,770 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,771 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,773 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 32 32], value = [[[[ 1.20407939e-01 8.47769901e-02 -3.62885818e-02 ... -1.69037320e-02 -3.52120370e-01 -5.27... [ 2019-01-29 14:38:11,773 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,773 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,774 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,774 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/conv2_3/1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,774 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,774 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,774 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,774 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,775 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [32], value = [-0.39704016 -0.3937685 -0.42928007 -0.6676553 -0.50595844 -0.6313621 -0.48870596 -0.47347012 ... [ 2019-01-29 14:38:11,775 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [32], value = [-1.9378859 0.13333222 5.1548896 0.405426 10.330494 -5.366135 -3.0932274 -2.0061479 ... [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [32], value = [16.444942 12.559595 13.46497 24.026936 21.088284 33.09736 35.501392 16.203342 14.400626 23.09... [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/1/Elu [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,776 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:151 ] Partial infer for Dropout_1/Identity [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,777 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/2/Conv2D [ 2019-01-29 14:38:11,778 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,778 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,778 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,781 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 32 32], value = [[[[ 0.0986985 -0.01947905 -0.03203139 ... 0.26038837 0.04019425 0.02344292] [ 0.27937... [ 2019-01-29 14:38:11,781 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,781 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,781 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,781 ] [ DEBUG ] [ infer:151 ] Partial infer for conv2_3/2/BiasAdd [ 2019-01-29 14:38:11,781 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,781 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,782 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,782 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [32], value = [ 1.185836 -0.7664609 -0.35195282 -0.08351754 -0.40892455 0.47776362 0.74579054 0.25497973... [ 2019-01-29 14:38:11,782 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,782 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,782 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,782 ] [ DEBUG ] [ infer:151 ] Partial infer for add_1 [ 2019-01-29 14:38:11,782 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,783 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,784 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,784 ] [ DEBUG ] [ infer:40 ] 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.] [ 2019-01-29 14:38:11,784 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [32], value = [-1.3206335 -0.8075158 -0.07714148 -0.60623527 -0.24940309 -0.9894799 -0.84613276 -1.6971366 ... [ 2019-01-29 14:38:11,785 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [32], value = [ 0.79878825 3.7611272 0.8244027 0.9257347 -1.255887 -3.077867 1.7329359 -1.268888 ... [ 2019-01-29 14:38:11,785 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [32], value = [58.51952 66.87514 55.68758 50.53644 71.627426 73.40998 78.7894 32.615524 32.678066 26.4242... [ 2019-01-29 14:38:11,785 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,785 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:151 ] Partial infer for Elu_1 [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/Conv2D [ 2019-01-29 14:38:11,786 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,787 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,787 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 32 64], value = [[[[ 4.53106523e-01 -4.13533092e-01 -3.95632863e-01 ... -8.06316286e-02 1.10458240e-01 -1.10... [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/conv3_1/1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,790 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,791 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,792 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [64], value = [-0.29162166 -0.2829142 -0.4913156 -0.4020104 -0.31662363 -0.3743056 -0.33668366 -0.523852 ... [ 2019-01-29 14:38:11,792 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [64], value = [ 2.7931874 4.98875 2.183986 2.5317826 8.669505 1.8887501 4.787338 -3.0698473 ... [ 2019-01-29 14:38:11,793 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [64], value = [12.714465 12.486033 13.939661 15.125654 18.57399 10.808741 11.155296 12.799686 15.33880... [ 2019-01-29 14:38:11,793 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,793 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,793 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,793 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/1/Elu [ 2019-01-29 14:38:11,793 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:151 ] Partial infer for Dropout_2/Identity [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,794 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,795 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,795 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,795 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/2/Conv2D [ 2019-01-29 14:38:11,795 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,795 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,795 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,798 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 64 64], value = [[[[ 0.16911997 0.17608741 0.10282259 ... 0.23135929 0.21308166 0.31836885] [ 0.02154... [ 2019-01-29 14:38:11,798 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,798 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,798 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,799 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/2/BiasAdd [ 2019-01-29 14:38:11,799 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,799 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,799 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,799 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [64], value = [-1.0054498 -0.11967862 0.14081739 0.2898003 -0.91862094 -0.01737622 -0.50937027 -1.7269893 ... [ 2019-01-29 14:38:11,800 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,800 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,800 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,800 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_1/projection/Conv2D [ 2019-01-29 14:38:11,800 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,800 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,801 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 63 31 32], value = [ 2019-01-29 14:38:11,801 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 1 32 64], value = [[[[-0.11164648 -0.13153905 0.13239498 ... 0.31355566 0.43930173 -0.01816637] [ 0.17079... [ 2019-01-29 14:38:11,801 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,801 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:151 ] Partial infer for add_2 [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/bn/FusedBatchNorm [ 2019-01-29 14:38:11,802 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,803 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,803 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,803 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,804 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [64], value = [-1.0653015 -0.8222507 -1.1192205 -0.9938017 -0.4908585 -0.9940367 -0.49162936 -0.85862064 ... [ 2019-01-29 14:38:11,805 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [64], value = [-0.23969007 -2.878377 -5.7009473 4.5027685 1.8610197 1.2501569 2.2040281 -3.4958615 ... [ 2019-01-29 14:38:11,805 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [64], value = [132.47734 120.47644 133.6889 146.57996 113.08497 175.83391 113.76445 142.01707 93.3814... [ 2019-01-29 14:38:11,805 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,805 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:151 ] Partial infer for Elu_2 [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/Conv2D [ 2019-01-29 14:38:11,806 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,807 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,807 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 64 64], value = [[[[-1.07153423e-01 1.60319909e-01 1.88857540e-01 ... -3.01577717e-01 -3.26129138e-01 8.17... [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/conv3_3/1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,810 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,811 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,812 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [64], value = [-0.32851684 -0.5175171 -0.45582733 -0.69660366 -0.5541408 -0.60474604 -0.65678495 -0.52019846... [ 2019-01-29 14:38:11,812 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [64], value = [ 1.0162506e-02 3.4373548e+00 2.4130566e+00 5.5760655e+00 5.5926185e+00 5.6888256e+00 1.69... [ 2019-01-29 14:38:11,813 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [64], value = [15.12298 24.202528 15.252318 12.578226 10.31893 14.628839 16.919056 13.592694 23.68994... [ 2019-01-29 14:38:11,813 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,813 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,813 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,813 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/1/Elu [ 2019-01-29 14:38:11,813 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:151 ] Partial infer for Dropout_3/Identity [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,814 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,815 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,815 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,815 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/2/Conv2D [ 2019-01-29 14:38:11,815 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,815 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,815 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,818 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 64 64], value = [[[[-0.26910535 -0.16607764 -0.17666112 ... 0.03985671 0.15921216 0.02305479] [-0.12484... [ 2019-01-29 14:38:11,818 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,818 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,819 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,819 ] [ DEBUG ] [ infer:151 ] Partial infer for conv3_3/2/BiasAdd [ 2019-01-29 14:38:11,819 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,819 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,819 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [64], value = [-1.0054551 -0.11970132 0.1408191 0.28983092 -0.9186222 -0.01737625 -0.5093622 -1.7270072 ... [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:151 ] Partial infer for add_3 [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,820 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,821 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,821 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,821 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,821 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,821 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,821 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,822 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,822 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [64], value = [-1.8302361 -1.0246876 -1.0151224 -1.3385823 -1.6318399 -1.8684804 -1.3898573 -1.0829593 ... [ 2019-01-29 14:38:11,823 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [64], value = [-3.892995 1.0575376 -2.9667544 4.1241107 -1.7857621 -3.8895338 1.6887579 -5.835705 ... [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [64], value = [193.7516 208.60452 227.7049 199.87285 173.86417 207.48515 175.01552 189.46281 190.28773 181.1... [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:151 ] Partial infer for Elu_3 [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,824 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,825 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,825 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,825 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/Conv2D [ 2019-01-29 14:38:11,825 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,825 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,825 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,828 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 64 128], value = [[[[ 3.09143085e-02 3.85060668e-01 1.08945765e-01 ... 3.84031177e-01 -1.90068752e-01 3.48... [ 2019-01-29 14:38:11,828 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,828 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,828 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,829 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/conv4_1/1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,829 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,829 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,829 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,830 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,831 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [128], value = [-0.57020646 -0.38152665 -0.62485474 -0.47721967 -0.37997887 -0.522823 -0.41127864 -0.40685114 -... [ 2019-01-29 14:38:11,832 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [128], value = [ 5.8267670e+00 6.5002637e+00 -1.4194200e+00 5.8388023e+00 3.4918590e+00 1.2344326e+00 8.51... [ 2019-01-29 14:38:11,833 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [128], value = [ 8.808479 9.279286 9.44581 10.373892 7.4393487 8.434383 8.0891695 8.792877 10.55353... [ 2019-01-29 14:38:11,833 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,833 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,833 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,833 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/1/Elu [ 2019-01-29 14:38:11,833 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:151 ] Partial infer for Dropout_4/Identity [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,834 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,835 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,835 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,835 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/2/Conv2D [ 2019-01-29 14:38:11,835 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,835 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,836 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,838 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 128 128], value = [[[[-3.33269909e-02 2.74301469e-01 5.45353234e-01 ... -3.71499717e-01 -3.51553887e-01 -2.25... [ 2019-01-29 14:38:11,838 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,838 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,839 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,839 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/2/BiasAdd [ 2019-01-29 14:38:11,839 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,839 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,839 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,840 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [128], value = [-0.96867985 -0.8192053 0.02658237 0.58112705 -0.84444636 -0.81564933 -0.72178286 0.7512161 ... [ 2019-01-29 14:38:11,840 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,840 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,840 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,840 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_1/projection/Conv2D [ 2019-01-29 14:38:11,840 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,841 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,841 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 32 16 64], value = [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 1 64 128], value = [[[[ 0.10691042 -0.14621213 0.34795412 ... -0.22261699 0.02054876 -0.06272136] [ 0.07937... [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:151 ] Partial infer for add_4 [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,842 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/bn/FusedBatchNorm [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,843 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,844 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,845 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [128], value = [-1.9504691 -1.4664273 -1.5007998 -1.7364047 -2.3035293 -1.5326713 -2.2886147 -1.7618283 -1.8922... [ 2019-01-29 14:38:11,846 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [128], value = [ -3.1645198 -6.736045 -1.7734638 -4.6621556 -3.639569 -5.2138824 -7.5843077 -10.72... [ 2019-01-29 14:38:11,847 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [128], value = [394.81293 526.6159 477.02353 500.48444 335.24954 589.5136 338.41568 502.80438 440.3466 545.7... [ 2019-01-29 14:38:11,847 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,847 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:151 ] Partial infer for Elu_4 [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/Conv2D [ 2019-01-29 14:38:11,848 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,849 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,849 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,852 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 128 128], value = [[[[-0.09823843 0.11120088 -0.0382314 ... 0.10694335 0.17822969 -0.06882222] [-0.42721... [ 2019-01-29 14:38:11,852 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,852 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,852 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,852 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/conv4_3/1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,852 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,852 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,853 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,854 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,855 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [128], value = [-0.39230904 -0.4294354 -0.526749 -0.55375654 -0.49662584 -0.6299774 -0.5708879 -0.5193724 ... [ 2019-01-29 14:38:11,856 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [128], value = [ 4.0178423 -1.8965713 4.212641 6.8864503 6.9899945 7.7721 9.283593 3.2968862 3.... [ 2019-01-29 14:38:11,857 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [128], value = [15.606751 15.738632 15.155431 11.450364 11.49011 22.858566 14.973021 14.312262 13.68099... [ 2019-01-29 14:38:11,857 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,857 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,857 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,857 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/1/Elu [ 2019-01-29 14:38:11,857 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,857 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:151 ] Partial infer for Dropout_5/Identity [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,858 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,859 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,859 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/2/Conv2D [ 2019-01-29 14:38:11,859 ] [ DEBUG ] [ infer:152 ] Op: Conv2D [ 2019-01-29 14:38:11,859 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,859 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,862 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 3 3 128 128], value = [[[[ 5.19894719e-01 1.88609570e-01 1.01615563e-01 ... -5.53987145e-01 -4.65103954e-01 -4.68... [ 2019-01-29 14:38:11,862 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,862 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,862 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,862 ] [ DEBUG ] [ infer:151 ] Partial infer for conv4_3/2/BiasAdd [ 2019-01-29 14:38:11,862 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,863 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,863 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,864 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [128], value = [-0.9686795 -0.8192113 0.02658175 0.5811254 -0.844447 -0.81565034 -0.7217823 0.75121814... [ 2019-01-29 14:38:11,864 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,864 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,864 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,864 ] [ DEBUG ] [ infer:151 ] Partial infer for add_5 [ 2019-01-29 14:38:11,864 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,864 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/Shape [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:152 ] Op: Shape [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,865 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,866 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [4], value = [ 1 16 8 128] [ 2019-01-29 14:38:11,866 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,866 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/strided_slice [ 2019-01-29 14:38:11,866 ] [ DEBUG ] [ infer:152 ] Op: StridedSlice [ 2019-01-29 14:38:11,866 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,866 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [4], value = [ 1 16 8 128] [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1], value = [0] [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [1], value = [1] [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [1], value = [1] [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/Reshape/shape/ExpandDims_ [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:152 ] Op: ExpandDims [ 2019-01-29 14:38:11,867 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 1 [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/Reshape/shape/Concat_ [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:152 ] Op: Concat [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,868 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [1], value = [1] [ 2019-01-29 14:38:11,869 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1], value = [-1] [ 2019-01-29 14:38:11,869 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,869 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [2], value = [ 1 -1] [ 2019-01-29 14:38:11,869 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,869 ] [ DEBUG ] [ infer:151 ] Partial infer for Flatten/flatten/Reshape [ 2019-01-29 14:38:11,869 ] [ DEBUG ] [ infer:152 ] Op: Reshape [ 2019-01-29 14:38:11,869 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16 8 128], value = [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [2], value = [ 1 -1] [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16384], value = [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:151 ] Partial infer for Dropout_6/Identity [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16384], value = [ 2019-01-29 14:38:11,870 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 16384], value = [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/MatMul [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ infer:152 ] Op: MatMul [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ matmul:30 ] matmul shapes: [array([ 1, 16384]), array([16384, 128])] [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ matmul:74 ] shape_tuple: (array([1]), array([128])) [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ matmul:77 ] matmul shape: [ 1 128] [ 2019-01-29 14:38:11,871 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,872 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 16384], value = [ 2019-01-29 14:38:11,872 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [16384 128], value = [[ 0.07080393 0.21790086 -0.24488142 ... 0.27316374 0.07627675 -0.05352516] [-0.06658453 0... [ 2019-01-29 14:38:11,872 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,872 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/Shape [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:152 ] Op: Shape [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [2], value = [ 1 128] [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/Reshape [ 2019-01-29 14:38:11,873 ] [ DEBUG ] [ infer:152 ] Op: Reshape [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [4], value = [ -1 1 1 128] [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/FusedBatchNorm [ 2019-01-29 14:38:11,874 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,875 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,875 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,876 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,877 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [128], value = [-0.61001027 -0.02963859 3.2483728 3.8252366 0.17810051 -0.3417209 -0.4511021 -0.08023728 ... [ 2019-01-29 14:38:11,878 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [128], value = [-1310.4137 -143.53668 282.2604 -17.183134 -929.81415 -705.55554 -179.04703 ... [ 2019-01-29 14:38:11,879 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [128], value = [21957600. 20814452. 20922860. 23780930. 22205124. 18924606. 21625258. 22605470. 20897324. 23772... [ 2019-01-29 14:38:11,879 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,879 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,879 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,879 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/fc1/bn/Reshape_1 [ 2019-01-29 14:38:11,879 ] [ DEBUG ] [ infer:152 ] Op: Reshape [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [2], value = [ 1 128] [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:151 ] Partial infer for fc1/Elu [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:152 ] Op: Activation [ 2019-01-29 14:38:11,880 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/Reshape [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:152 ] Op: Reshape [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,881 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [4], value = [ -1 1 1 128] [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/FusedBatchNorm [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:152 ] Op: FusedBatchNorm [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,882 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,883 ] [ DEBUG ] [ infer:40 ] 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.... [ 2019-01-29 14:38:11,884 ] [ DEBUG ] [ infer:40 ] input[2]: shape = [128], value = [ 0.00167056 0.04668089 0.11936869 -0.39159754 0.00643669 0.01753015 0.01430749 0.04436189... [ 2019-01-29 14:38:11,885 ] [ DEBUG ] [ infer:40 ] input[3]: shape = [128], value = [-2.44791552e-01 1.31111637e-01 3.27050257e+00 3.83466649e+00 2.96822876e-01 -6.76681772e-02... [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:40 ] input[4]: shape = [128], value = [0.41153657 0.6257338 0.99997044 0.99997056 0.6934944 0.52524203 0.4617082 0.6089458 0.65155... [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/Shape [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:152 ] Op: Shape [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,887 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [2], value = [ 1 128] [ 2019-01-29 14:38:11,888 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,888 ] [ DEBUG ] [ infer:151 ] Partial infer for ball/Reshape_1 [ 2019-01-29 14:38:11,888 ] [ DEBUG ] [ infer:152 ] Op: Reshape [ 2019-01-29 14:38:11,888 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,888 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 1 1 128], value = [ 2019-01-29 14:38:11,888 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [2], value = [ 1 128] [ 2019-01-29 14:38:11,888 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:151 ] Partial infer for Square [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:152 ] Op: Square [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:151 ] Partial infer for Sum [ 2019-01-29 14:38:11,889 ] [ DEBUG ] [ infer:152 ] Op: Sum [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ reduce:24 ] input_shape: [ 1 128] [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1], value = [1] [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1 1], value = [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:151 ] Partial infer for add_6 [ 2019-01-29 14:38:11,890 ] [ DEBUG ] [ infer:152 ] Op: Add [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [], value = 1e-08 [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1 1], value = [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1 1], value = [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:151 ] Partial infer for Sqrt [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:152 ] Op: Sqrt [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,891 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [1 1], value = [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1 1], value = [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:151 ] Partial infer for truediv/reciprocal_ [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:152 ] Op: Power [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [1 1], value = [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [1 1], value = [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,892 ] [ DEBUG ] [ infer:151 ] Partial infer for truediv/mul_ [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:152 ] Op: Mul [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:40 ] input[1]: shape = [1 1], value = [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:150 ] -------------------- [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:151 ] Partial infer for features [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:152 ] Op: Identity [ 2019-01-29 14:38:11,893 ] [ DEBUG ] [ infer:163 ] Inputs: [ 2019-01-29 14:38:11,894 ] [ DEBUG ] [ infer:40 ] input[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,894 ] [ DEBUG ] [ infer:165 ] Outputs: [ 2019-01-29 14:38:11,894 ] [ DEBUG ] [ infer:40 ] output[0]: shape = [ 1 128], value = [ 2019-01-29 14:38:11,895 ] [ DEBUG ] [ infer:94 ] Removing control flow edge from map/while/Identity/Output_0/Data_ to map/while/add/y [ 2019-01-29 14:38:11,896 ] [ DEBUG ] [ infer:94 ] Removing control flow edge from map/while/Identity/Output_0/Data_ to map/while/strided_slice/stack [ 2019-01-29 14:38:11,896 ] [ DEBUG ] [ infer:94 ] Removing control flow edge from map/while/Identity/Output_0/Data_ to map/while/strided_slice/stack_2 [ 2019-01-29 14:38:11,896 ] [ DEBUG ] [ infer:94 ] Removing control flow edge from map/while/Identity/Output_0/Data_ to map/while/strided_slice/stack_1 [ 2019-01-29 14:38:11,935 ] [ DEBUG ] [ TensorIteratorInput:119 ] ================== SmartInputFind =============== [ 2019-01-29 14:38:11,936 ] [ DEBUG ] [ op:195 ] Start running infer function for individual op node with attributes: {'name': 'map/while/TensorArrayReadV3/TensorIteratorInput_', 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'axis': 0, 'end': None, 'kind': 'op', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'start': None, 'precision': 'FP32', 'part_size': None, 'infer': , 'op': 'TensorIteratorInput', 'stride': None, 'internal_layer_id': 'map/while/TensorArrayReadV3/Output_0/Data_', 'IE': [('layer', [('id', . at 0x7f1242cff400>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])], 'external_port_id': 'map/TensorArray/Output_0/Data_'} [ 2019-01-29 14:38:11,936 ] [ DEBUG ] [ op:208 ] Finished running infer function, data nodes attributes: {'is_output_reachable': True, 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'shape': array([128, 64, 3]), 'kind': 'data', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'value': None, 'data_type': None, 'infer': None, 'is_const_producer': False, 'executable': True, 'is_partial_inferred': True, 'name': 'map/while/TensorArrayReadV3/Output_0/Data_', 'is_undead': False, 'fw_tensor_debug_info': [('map/while/TensorArrayReadV3', 0)]} [ 2019-01-29 14:38:11,971 ] [ DEBUG ] [ TensorIteratorOutput:125 ] ================== SmartOutputFind =============== [ 2019-01-29 14:38:11,971 ] [ DEBUG ] [ op:195 ] Start running infer function for individual op node with attributes: {'name': 'map/while/TensorArrayWrite/TensorArrayWriteV3/TensorIteratorOutput_', 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'axis': 0, 'end': None, 'kind': 'op', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'start': None, 'precision': 'FP32', 'part_size': None, 'infer': , 'op': 'TensorIteratorOutput', 'stride': None, 'internal_layer_id': 'map/while/strided_slice/Output_0/Data_', 'IE': [('layer', [('id', . at 0x7f1242d29620>), 'name', 'precision', 'type'], [('data', ['external_port_id', 'internal_layer_id', 'internal_port_id', 'axis', 'start', 'stride', 'part_size'], []), '@ports', '@consts'])], 'external_port_id': 'map/TensorArray_1/Output_0/Data_'} [ 2019-01-29 14:38:11,971 ] [ DEBUG ] [ op:208 ] Finished running infer function, data nodes attributes: {'is_output_reachable': True, 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'shape': array([ 1, 128, 64, 3]), 'kind': 'data', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'value': None, 'data_type': None, 'infer': None, 'is_const_producer': False, 'executable': True, 'is_partial_inferred': True, 'name': 'map/TensorArrayStack/TensorArrayGatherV3/Output_0/Data_', 'is_undead': False, 'fw_tensor_debug_info': [('map/TensorArrayStack/TensorArrayGatherV3', 0)]} [ 2019-01-29 14:38:11,973 ] [ DEBUG ] [ TensorIteratorCondition:52 ] +++++++++++++++ ConditionMatching ++++++++++++++++ [ 2019-01-29 14:38:12,002 ] [ DEBUG ] [ TensorIteratorCondition:217 ] +++++++++++++++ SimpleConditionMatching ++++++++++++++++ [ 2019-01-29 14:38:12,033 ] [ DEBUG ] [ TensorIteratorCondition:282 ] ================== SimpleConditionFind =============== [ 2019-01-29 14:38:12,034 ] [ DEBUG ] [ op:195 ] Start running infer function for individual op node with attributes: {'iter': {'init': 0, 'step': 1}, 'infer': , 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'name': 'map/while/LoopCond/TensorIteratorCondition_', 'op': 'TensorIteratorCondition', 'kind': 'op', 'IE': [('layer', [('id', . at 0x7f1242ccc1e0>), 'name', 'precision', 'type'], [('data', ['time', 'iter'], []), '@ports', '@consts'])], 'precision': 'FP32'} [ 2019-01-29 14:38:12,034 ] [ DEBUG ] [ op:208 ] Finished running infer function, data nodes attributes: {'is_output_reachable': True, 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'shape': array([], dtype=float64), 'kind': 'data', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'value': None, 'data_type': dtype('bool'), 'infer': None, 'is_const_producer': False, 'executable': True, 'is_partial_inferred': True, 'name': 'map/while/LoopCond/Output_0/Data_', 'is_undead': False, 'fw_tensor_debug_info': [('map/while/LoopCond', 0)]} [ 2019-01-29 14:38:12,034 ] [ DEBUG ] [ op:208 ] Finished running infer function, data nodes attributes: {'is_output_reachable': True, 'shape_attrs': ['output_shape', 'window', 'pad', 'stride', 'shape'], 'shape': array([], dtype=int64), 'kind': 'data', 'dim_attrs': ['channel_dims', 'spatial_dims', 'batch_dims', 'axis'], 'value': None, 'data_type': None, 'infer': None, 'is_const_producer': False, 'executable': True, 'is_partial_inferred': True, 'name': 'map/while/Identity/Output_0/Data_', 'is_undead': False, 'fw_tensor_debug_info': [('^map/while/Identity', 0)]} [ 2019-01-29 14:38:12,047 ] [ DEBUG ] [ TensorIteratorConditionChecker:27 ] +++++++++++++++ ConditionCheckerMatching ++++++++++++++++ [ 2019-01-29 14:38:12,077 ] [ DEBUG ] [ infer:86 ] Removing the following not executable nodes: [ 2019-01-29 14:38:12,077 ] [ DEBUG ] [ eliminate:64 ] The following nodes are seeded as output reachable: features/Output_0/Data_ [ 2019-01-29 14:38:12,101 ] [ DEBUG ] [ eliminate:130 ] Removing the following dead nodes: 294 294/Output_0/Data_ Const Flatten/flatten/Reshape/shape/1 Flatten/flatten/Reshape/shape/Concat_ Flatten/flatten/Reshape/shape/ExpandDims_ Flatten/flatten/Reshape/shape/ExpandDims_296 Flatten/flatten/Shape Flatten/flatten/strided_slice Flatten/flatten/strided_slice/stack Flatten/flatten/strided_slice/stack_1 Flatten/flatten/strided_slice/stack_2 Sum/reduction_indices ball/Const ball/Reshape/shape ball/Shape ball/beta ball/beta/read ball/moving_mean ball/moving_mean/read ball/moving_variance ball/moving_variance/read conv1_1/conv1_1/bn/Const conv1_1/conv1_1/bn/beta conv1_1/conv1_1/bn/beta/read conv1_1/conv1_1/bn/moving_mean conv1_1/conv1_1/bn/moving_mean/read conv1_1/conv1_1/bn/moving_variance conv1_1/conv1_1/bn/moving_variance/read conv1_1/weights conv1_1/weights/read conv1_2/conv1_2/bn/Const conv1_2/conv1_2/bn/beta conv1_2/conv1_2/bn/beta/read conv1_2/conv1_2/bn/moving_mean conv1_2/conv1_2/bn/moving_mean/read conv1_2/conv1_2/bn/moving_variance conv1_2/conv1_2/bn/moving_variance/read conv1_2/weights conv1_2/weights/read conv2_1/1/conv2_1/1/bn/Const conv2_1/1/conv2_1/1/bn/beta conv2_1/1/conv2_1/1/bn/beta/read conv2_1/1/conv2_1/1/bn/moving_mean conv2_1/1/conv2_1/1/bn/moving_mean/read conv2_1/1/conv2_1/1/bn/moving_variance conv2_1/1/conv2_1/1/bn/moving_variance/read conv2_1/1/weights conv2_1/1/weights/read conv2_1/2/biases conv2_1/2/biases/read conv2_1/2/weights conv2_1/2/weights/read conv2_3/1/conv2_3/1/bn/Const conv2_3/1/conv2_3/1/bn/beta conv2_3/1/conv2_3/1/bn/beta/read conv2_3/1/conv2_3/1/bn/moving_mean conv2_3/1/conv2_3/1/bn/moving_mean/read conv2_3/1/conv2_3/1/bn/moving_variance conv2_3/1/conv2_3/1/bn/moving_variance/read conv2_3/1/weights conv2_3/1/weights/read conv2_3/2/biases conv2_3/2/biases/read conv2_3/2/weights conv2_3/2/weights/read conv2_3/bn/Const conv2_3/bn/beta conv2_3/bn/beta/read conv2_3/bn/moving_mean conv2_3/bn/moving_mean/read conv2_3/bn/moving_variance conv2_3/bn/moving_variance/read conv3_1/1/conv3_1/1/bn/Const conv3_1/1/conv3_1/1/bn/beta conv3_1/1/conv3_1/1/bn/beta/read conv3_1/1/conv3_1/1/bn/moving_mean conv3_1/1/conv3_1/1/bn/moving_mean/read conv3_1/1/conv3_1/1/bn/moving_variance conv3_1/1/conv3_1/1/bn/moving_variance/read conv3_1/1/weights conv3_1/1/weights/read conv3_1/2/biases conv3_1/2/biases/read conv3_1/2/weights conv3_1/2/weights/read conv3_1/bn/Const conv3_1/bn/beta conv3_1/bn/beta/read conv3_1/bn/moving_mean conv3_1/bn/moving_mean/read conv3_1/bn/moving_variance conv3_1/bn/moving_variance/read conv3_1/projection/weights conv3_1/projection/weights/read conv3_3/1/conv3_3/1/bn/Const conv3_3/1/conv3_3/1/bn/beta conv3_3/1/conv3_3/1/bn/beta/read conv3_3/1/conv3_3/1/bn/moving_mean conv3_3/1/conv3_3/1/bn/moving_mean/read conv3_3/1/conv3_3/1/bn/moving_variance conv3_3/1/conv3_3/1/bn/moving_variance/read conv3_3/1/weights conv3_3/1/weights/read conv3_3/2/biases conv3_3/2/biases/read conv3_3/2/weights conv3_3/2/weights/read conv3_3/bn/Const conv3_3/bn/beta conv3_3/bn/beta/read conv3_3/bn/moving_mean conv3_3/bn/moving_mean/read conv3_3/bn/moving_variance conv3_3/bn/moving_variance/read conv4_1/1/conv4_1/1/bn/Const conv4_1/1/conv4_1/1/bn/beta conv4_1/1/conv4_1/1/bn/beta/read conv4_1/1/conv4_1/1/bn/moving_mean conv4_1/1/conv4_1/1/bn/moving_mean/read conv4_1/1/conv4_1/1/bn/moving_variance conv4_1/1/conv4_1/1/bn/moving_variance/read conv4_1/1/weights conv4_1/1/weights/read conv4_1/2/biases conv4_1/2/biases/read conv4_1/2/weights conv4_1/2/weights/read conv4_1/bn/Const conv4_1/bn/beta conv4_1/bn/beta/read conv4_1/bn/moving_mean conv4_1/bn/moving_mean/read conv4_1/bn/moving_variance conv4_1/bn/moving_variance/read conv4_1/projection/weights conv4_1/projection/weights/read conv4_3/1/conv4_3/1/bn/Const conv4_3/1/conv4_3/1/bn/beta conv4_3/1/conv4_3/1/bn/beta/read conv4_3/1/conv4_3/1/bn/moving_mean conv4_3/1/conv4_3/1/bn/moving_mean/read conv4_3/1/conv4_3/1/bn/moving_variance conv4_3/1/conv4_3/1/bn/moving_variance/read conv4_3/1/weights conv4_3/1/weights/read conv4_3/2/biases conv4_3/2/biases/read conv4_3/2/weights conv4_3/2/weights/read conv4_3/bn/Const conv4_3/bn/beta conv4_3/bn/beta/read conv4_3/bn/moving_mean conv4_3/bn/moving_mean/read conv4_3/bn/moving_variance conv4_3/bn/moving_variance/read fc1/fc1/bn/Const fc1/fc1/bn/Reshape/shape fc1/fc1/bn/Shape fc1/fc1/bn/beta fc1/fc1/bn/beta/read fc1/fc1/bn/moving_mean fc1/fc1/bn/moving_mean/read fc1/fc1/bn/moving_variance fc1/fc1/bn/moving_variance/read fc1/weights fc1/weights/read map/Shape map/TensorArrayUnstack/Shape map/TensorArrayUnstack/Shape/Output_0/Data_ map/strided_slice map/strided_slice/stack map/strided_slice/stack_1 map/strided_slice/stack_2 map/while/LoopCond/Output_0/Data_ map/while/NextIteration/Output_0/Data_ map/while/NextIteration_1/Output_0/Data_ map/while/strided_slice/stack map/while/strided_slice/stack_1 map/while/strided_slice/stack_2 [ ERROR ] ------------------------------------------------- [ ERROR ] ----------------- INTERNAL ERROR ---------------- [ ERROR ] Unexpected exception happened. [ ERROR ] Please contact Model Optimizer developers and forward the following information: [ ERROR ] 0 [ ERROR ] Traceback (most recent call last): File "/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/main.py", line 325, in main return driver(argv) File "/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/main.py", line 267, in driver mean_scale_values=mean_scale) File "/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 297, in tf2nx replacer.find_and_replace_pattern(graph) File "/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/utils/replacement_pattern.py", line 28, in find_and_replace_pattern apply_pattern(graph, **self.pattern(), action=self.replace_pattern) # pylint: disable=no-member File "/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 95, in apply_pattern action(graph, match) File "/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/extensions/middle/TensorIteratorMerge.py", line 103, in replace_pattern cond_data = match['condition'].out_node(0) File "/opt/intel/computer_vision_sdk_2018.5.445/deployment_tools/model_optimizer/mo/graph/graph.py", line 332, in out_node return self.out_nodes(control_flow=control_flow)[key] KeyError: 0 [ ERROR ] ---------------- END OF BUG REPORT -------------- [ ERROR ] -------------------------------------------------